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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ajc</journal-id>
      <journal-title-group>
        <journal-title>Advances in Journalism and Communication</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2328-4935</issn>
      <issn pub-type="ppub">2328-4927</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ajc.2026.143012</article-id>
      <article-id pub-id-type="publisher-id">ajc-153994</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Social Sciences</subject>
          <subject>Humanities</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>When Social Media Stops Being Social: WhatsApp Channels and the Re-Broadcastification of Corporate Communication</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0003-4673-5408</contrib-id>
          <name name-style="western">
            <surname>Moreroa</surname>
            <given-names>Moses Mashwahla</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> University of Limpopo, Polokwane, South Africa </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The author declares no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>10</day>
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <volume>14</volume>
      <issue>03</issue>
      <fpage>238</fpage>
      <lpage>261</lpage>
      <history>
        <date date-type="received">
          <day>18</day>
          <month>08</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>17</day>
          <month>09</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>20</day>
          <month>09</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ajc.2026.143012">https://doi.org/10.4236/ajc.2026.143012</self-uri>
      <abstract>
        <p>Social media was theorised to shift corporate communication from one-way dissemination towards dialogic engagement. WhatsApp, however, has followed a different trajectory as organisations have progressively adopted the historically interpersonal messaging platform for institutional communication. This trajectory reached a formal inflection point in 2023, when Meta introduced WhatsApp Channels, enabling organisations to broadcast content to unlimited followers who can react to posts but cannot reply to them or message the organisation through the channel. This article presents a systematic literature review, guided by PRISMA 2020, to examine whether WhatsApp Channels represent a re-broadcastification of digital corporate communication: the reconfiguration of an ostensibly social platform into a controlled, largely one-way communication environment. Searches of Scopus and Web of Science Core Collection, supplemented by targeted searches of publisher platforms and scholarly repositories, examined peer-reviewed and grey literature published between 2021 and 2026 on WhatsApp, organisational communication, dialogic communication, platformisation, and social media affordances. No peer-reviewed study was identified that specifically examines WhatsApp Channels through a corporate communication lens. However, converging evidence from affordance theory, platformisation scholarship, and WhatsApp-specific research indicates that Channels formalise a broadcast architecture previously observed in WhatsApp’s use for news and public relations dissemination. The article conceptualises re-broadcastification as distinct from broadcasting, platformisation, and generic one-way communication. It further assesses whether Channels function as digital billboards, finding that while they do not meet the strict definition of a digital billboard, they reproduce its underlying exposure logic. The findings challenge linear assumptions that digital communication necessarily progresses from broadcasting towards dialogue and demonstrate how platform design can reconstruct broadcast communication within environments still characterised as interactive and social.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>WhatsApp Channels</kwd>
        <kwd>Corporate Communication</kwd>
        <kwd>Social Media</kwd>
        <kwd>Dialogic Communication</kwd>
        <kwd>Platformisation</kwd>
        <kwd>Re-Broadcastification</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Corporate communication has historically been organisation-centred and relatively controlled. Social media’s rise from the mid-2000s was theorised to disrupt this model: dialogic communication theory argued that networked platforms offered organisations a genuine route beyond one-way dissemination towards reciprocal exchange with stakeholders ([<xref ref-type="bibr" rid="B18">18</xref>]), and two-way symmetrical communication, long aspirational in public relations theory, appeared newly attainable at scale. WhatsApp complicates this narrative. Unlike Facebook, Twitter or Instagram, built from the outset as broadcast-capable public platforms, WhatsApp emerged as an interpersonal messaging application oriented towards private, one-to-one and small-group conversation ([<xref ref-type="bibr" rid="B17">17</xref>]). Its evolution into a platform used extensively by organisations, journalists and public institutions therefore runs in the opposite direction to the usual account: an intimate messaging medium has been progressively repurposed for organisational, increasingly one-way, communication.</p>
      <p>[<xref ref-type="bibr" rid="B42">42</xref>] and [<xref ref-type="bibr" rid="B31">31</xref>] note that this repurposing reached a formal inflection point in 2023, when Meta introduced WhatsApp Channels, permitting verified organisations to publish content to unlimited followers who may react with emoji or respond to polls but cannot reply, comment, or exchange visibly with the organisation or each other. Adding to this observation, [<xref ref-type="bibr" rid="B32">32</xref>] asserts that followers’ identities remain private from each other and largely from the administrator. This architecture differs markedly from WhatsApp Groups, which support many-to-many conversation among a bounded membership, and from the platform’s core one-to-one function, which remains fully reciprocal and end-to-end encrypted ([<xref ref-type="bibr" rid="B32">32</xref>]; [<xref ref-type="bibr" rid="B31">31</xref>]).</p>
      <p>The emergence of Channels raises a question that existing theory is not well positioned to answer directly: what does it mean when an interpersonal social platform is reconfigured, by design, to support only one-way organisational broadcasting? Is this a continuation of traditional corporate communication using new infrastructure; a distinct form of digital broadcasting; evidence that social media’s dialogic potential was always more fragile than assumed; a rational response to the moderation costs of open-ended interaction; or something existing vocabulary does not capture at all?</p>
      <p>This article addresses that question through a systematic literature review structured around the proposition that WhatsApp Channels represent a re-broadcastification of digital corporate communication. Re-broadcastification is treated as a proposition to be tested against the literature, not assumed. The review examines Channels’ strategic advantages for organisations as carefully as their communicative limitations for stakeholders, and does not treat them as inherently problematic.</p>
      <p>The review is guided by one main research question and six sub-questions. Main research question: <italic>How does the emergence of WhatsApp Channels reshape</italic><italic>the nature of digital corporate communication</italic>,<italic>particularly in relation to interactivity, dialogue</italic>,<italic>audience participation</italic>,<italic>organisational control and stakeholder engagement</italic>? </p>
      <p>RQ1: What does the literature reveal about WhatsApp’s evolution from interpersonal platform to organisational communication tool? </p>
      <p>RQ2: What does the literature reveal about WhatsApp Channels’ communicative characteristics, particularly their affordances for broadcasting, interaction, participation and feedback? </p>
      <p>RQ3: How does WhatsApp Channel communication compare with the dialogic and two-way ideals associated with social media? </p>
      <p>RQ4: What opportunities and limitations does WhatsApp Channel communication create for corporate communication and stakeholder engagement? </p>
      <p>RQ5: What theoretical, conceptual, methodological and empirical gaps exist in this literature? </p>
      <p>RQ6: To what extent can re-broadcastification explain the emergence of largely one-way organisational communication within social media environments?</p>
      <p>Section 2 situates WhatsApp’s evolution and Channels within their commercial context. Section 3 sets out the theoretical framework. Section 4 details the methodology, including a reproducible search appendix and quality-appraisal outcomes (Appendix). Section 5 presents thematic findings. Section 6 discusses the findings against the research questions. Section 7 develops re-broadcastification as a concept and examines the digital billboard proposition. Section 8 considers implications for practice, Section 9 identifies research gaps, and Section 10 concludes.</p>
    </sec>
    <sec id="sec2">
      <title>2. Background and Context</title>
      <p>WhatsApp was founded in 2009 and acquired by Facebook (now Meta) in 2014. For much of its history, the platform’s public identity emphasised simplicity, cross-device interoperability and, later, privacy and intimacy, in explicit contrast to advertising-funded social networks ([<xref ref-type="bibr" rid="B17">17</xref>]). A discourse analysis of WhatsApp’s corporate blog and website from 2010 to 2023 found this self-presentation shifted over time, from technical interoperability toward intimate conversation and privacy assurances, and identified a tension within that discourse: the same period in which WhatsApp intensified its privacy branding also saw it expand commercial features prioritising business engagement ([<xref ref-type="bibr" rid="B38">38</xref>]).</p>
      <p>Organisational adoption of WhatsApp preceded Channels by many years, and [<xref ref-type="bibr" rid="B11">11</xref>] posit that WhatsApp Groups have been adopted for managerial purposes in higher education, with mostly positive but some negative perceptions around blurred work-life boundaries; for public-sector communication in Tanzania, often informally and without institutional authorisation despite recognised benefits ([<xref ref-type="bibr" rid="B16">16</xref>]); and for small business marketing through the Business API, valuable but constrained by limited automation for small firms ([<xref ref-type="bibr" rid="B30">30</xref>]). A retrospective content analysis of a Nigerian physiotherapists’ association’s WhatsApp Group found interactive messages the predominant category (64.5% of messages), showing Groups can sustain genuine multi-way professional dialogue when their architecture permits it ([<xref ref-type="bibr" rid="B25">25</xref>]).</p>
      <p>Directly relevant to this review’s public-relations concerns, [<xref ref-type="bibr" rid="B23">23</xref>] study of WhatsApp-mediated relations between PR practitioners and journalists found the platform sustaining genuinely reciprocal dialogue, describing it as an alternative tribal city square for the industry while also documenting the occupational strain constant connectivity produced. This is direct, peer-reviewed evidence that WhatsApp’s core architecture was, and remains, capable of the two-way professional dialogue that Channels’ architecture structurally removes.</p>
      <p>A parallel strand extends this to local government: [<xref ref-type="bibr" rid="B22">22</xref>] found Spanish municipalities’ WhatsApp adoption reflecting a platformisation of institutional political communication oriented toward direct service dissemination rather than two-way civic deliberation, even while the underlying technology remained fully reciprocal. This is an important pre-Channel data point because institutional actors were already gravitating toward one-way, dissemination-oriented use of WhatsApp’s reciprocal infrastructure years before Meta formalised that tendency architecturally.</p>
      <p>WhatsApp’s use in journalism anticipates the logic later formalised by Channels. [<xref ref-type="bibr" rid="B5">5</xref>], studying European news outlets, distinguished a distribution channel, sharing content one-way via broadcast lists, from an engagement channel, used to solicit feedback and build relationships through reciprocal communication; outlets used WhatsApp for one function, the other, or both. Published before Meta’s 2023 feature existed, this distinction suggests the broadcast/dialogue split later built into WhatsApp’s architecture reflects a use-pattern that already existed informally, rather than a novel behaviour the feature introduced.</p>
      <p>Meta launched Channels in beta during mid-2023 and rolled the feature out globally in September 2023 ([<xref ref-type="bibr" rid="B31">31</xref>]). A Channel is a public, followable profile from which only the administrator may post; followers view updates separately from their chat list, may react with emoji and respond to polls, but cannot reply, comment, or see one another, distinguishing Channels from Groups (bounded, multi-way), Communities (linked groups with an announcement sub-group), and the paid Business Platform (two-way, automatable) ([<xref ref-type="bibr" rid="B32">32</xref>]). Nieman Journalism Lab’s November 2023 interviews further recorded major outlets, including the Financial Times, La Nación and the New York Times, launching Channels within weeks, motivated substantially by declining referral traffic from Facebook and X ([<xref ref-type="bibr" rid="B31">31</xref>]); available engagement metrics remained rudimentary, limited to view counts and aggregate reaction tallies ([<xref ref-type="bibr" rid="B32">32</xref>]).</p>
      <p>[<xref ref-type="bibr" rid="B38">38</xref>] predicts this as sitting within a broader push to monetise WhatsApp, historically kept advertising-free as part of its privacy branding. A discourse-analytic study of WhatsApp Business in India found monetisation created a structural tension for smaller businesses between the platform’s historical free accessibility and the costs of newer features ([<xref ref-type="bibr" rid="B9">9</xref>]), consistent with South African evidence that low cost and ease of use are central to WhatsApp’s appeal for organisations and customers in the region ([<xref ref-type="bibr" rid="B19">19</xref>]). Channels remain free to use but sit within a broader ecosystem of paid business messaging tools developed since 2023, a commercial context directly relevant to the digital billboard proposition in Section 7.</p>
    </sec>
    <sec id="sec3">
      <title>3. Theoretical Framework</title>
      <p>Three theoretical traditions inform this review: dialogic communication and two-way symmetry, treated as a single evaluative standard; social media affordance theory; and platformisation theory. The synthesis in Section 6 identifies which combination best accounts for the evidence.</p>
      <sec id="sec3dot1">
        <title>3.1. Dialogic Communication and Two-Way Symmetry</title>
        <p>Two-way symmetrical communication, from [<xref ref-type="bibr" rid="B14">14</xref>] excellence theory, holds that effective organisational communication involves genuine exchange in which both organisation and public may be influenced, rather than one-way persuasion. Empirical work applying this to social media finds organisations achieve symmetrical engagement when they actively design for it: deliberate two-way patterns were associated with stronger engagement outcomes ([<xref ref-type="bibr" rid="B12">12</xref>]), underlining that symmetry is an achievement of platform use and organisational choice, not an inherent property of any technology. [<xref ref-type="bibr" rid="B18">18</xref>], dialogic communication theory sharpens this standard, as it holds that technologies foster genuine dialogue when designed to support openness, mutuality, propinquity and commitment to conversation, asking whether an organisation is genuinely open to being changed by what it hears, a standard beyond mere symmetry. [<xref ref-type="bibr" rid="B18">18</xref>] architectural reframing treats dialogic potential as a property of platform architecture, not an automatic consequence of a platform being social: potential is designed in or out, and cannot be inferred from a platform being widely described as social media. Together, two-way symmetry and dialogic theory give this review a two-tier standard: whether any exchange occurs at all, and whether the architecture permits genuine openness to audience input, a distinction that matters in Section 6.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Social Media Affordance Theory</title>
        <p>Affordance theory examines how a technology’s possibilities and constraints emerge from the interaction between its material properties and users’ practices. A recent review of affordance definitions proposed a more precise, unified vocabulary for the tradition ([<xref ref-type="bibr" rid="B37">37</xref>]). Extending this to messaging platforms, [<xref ref-type="bibr" rid="B21">21</xref>], interviewing 35 users of bounded social media places, low-visibility spaces such as private groups and channels, argued that treating an entire platform such as WhatsApp as a single unit of analysis obscures important differences between its private, group and broadcast-oriented spaces, directly supporting this review’s argument that Channels warrant conceptual treatment distinct from WhatsApp as a whole.</p>
        <p>Affordance-based accounts of WhatsApp across markedly different contexts show interactivity is not fixed by the technology but varies by configuration. Groups supporting cooperative labour organising among food delivery workers afforded genuine solidarity and collective resistance ([<xref ref-type="bibr" rid="B6">6</xref>]); WhatsApp-based support groups for individuals with post-traumatic stress disorder relied on affordances enabling deep reciprocal peer support ([<xref ref-type="bibr" rid="B48">48</xref>]; [<xref ref-type="bibr" rid="B20">20</xref>]). A cross-platform study found perceived, not purely technical, affordances shape news engagement ([<xref ref-type="bibr" rid="B10">10</xref>]), and Global South research argues affordance analysis must attend to region-specific ethical and infrastructural conditions rather than importing Global North assumptions unmodified ([<xref ref-type="bibr" rid="B15">15</xref>]), a caution this review has tried to observe throughout. Where the technology permits many-to-many exchange, scholars document genuinely dialogic use; where it architecturally forecloses reply, as in Channels, no comparable use is structurally possible regardless of organisational intent.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Platformisation Theory</title>
        <p>Platformisation is the penetration of platform infrastructures, economic logics and governance structures into economic sectors and cultural practice ([<xref ref-type="bibr" rid="B36">36</xref>]). Subsequent work examines how platform owners negotiate power with dependent industries, including news publishers’ vulnerability to infrastructure decisions ([<xref ref-type="bibr" rid="B35">35</xref>]). [<xref ref-type="bibr" rid="B17">17</xref>] apply this to WhatsApp directly, arguing its transformation into a global platform reflects a trajectory toward superapps that absorb commercial, civic and communicative functions previously distributed across separate services. [<xref ref-type="bibr" rid="B38">38</xref>] documentation of the tension between WhatsApp’s privacy branding and commercial expansion is direct evidence of platformisation as a lived process, corroborated geographically by [<xref ref-type="bibr" rid="B22">22</xref>] finding that Spanish local governments’ pre-Channel WhatsApp use already reflected institutional platformisation, indicating the trajectory reflects a broader pattern of institutional adaptation, not Meta’s product decisions alone.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Methodology</title>
      <sec id="sec4dot1">
        <title>4.1. Review Design</title>
        <p>This article reports a systematic literature review (SLR) structured according to PRISMA 2020 guidance, adapted for a communication-studies subject matter that spans peer-reviewed empirical research, theoretical and conceptual scholarship, and relevant scholarly grey literature. The review addresses literature published between 1 January 2021 and 30 June 2026, while explicitly distinguishing pre-Channel literature (2021-2023), concerning WhatsApp’s organisational and journalistic use prior to the Channels feature, from Channel-era literature (2023-2026), concerning the Channels feature specifically. Foundational theoretical texts predating 2021 (McQuail’s mass communication theory and Grunig’s excellence theory) are cited as background theory rather than counted among the review’s included primary studies, consistent with standard SLR practice of distinguishing a review’s theoretical scaffolding from its evidence base; this distinction is applied consistently throughout and is not treated as an exception to the eligibility rule (see <bold>Table 1</bold>).</p>
      </sec>
      <sec id="sec4dot2">
        <title>4.2. Search Strategy</title>
        <p>The search was conducted across Scopus, Web of Science Core Collection, and publisher platforms and repositories not fully indexed by either database (SAGE Journals, ScienceDirect, Taylor &amp; Francis Online, SpringerLink, Emerald Insight, Wiley Online Library, ACM Digital Library, DOAJ, SSRN, institutional repositories). Search terms combined four concept clusters: 1) WhatsApp terms (“WhatsApp”, “WhatsApp Channel*”, “WhatsApp group*”, “WhatsApp Business”); 2) corporate communication terms (“corporate communication”, “organisational communication”, “public relations”, “customer engagement”); 3) interaction and dialogue terms (“dialogic communication”, “two-way communication”, interactivity, dialogue, reciprocity, “stakeholder engagement”); and 4) broadcasting and platformisation terms (broadcast*, “one-way communication”, dissemination, “message control”, “organisational control”, platformisation, “platform power”, commercialisation). Appendix reproduces the full search history, including query strings and result counts.</p>
        <p>Query construction moved iteratively from broad single-cluster searches to fully specified multi-cluster phrase searches, and record counts varied by orders of magnitude accordingly. Single-cluster queries returned very large, low-precision sets: WhatsApp OR “WhatsApp Business” combined with corporate-communication terms returned 5739 records in Web of Science, and a broader combination of channel and broadcast terminology returned 10,246. These were not screened in full, since assessing several thousand largely off-topic records was not feasible; they confirmed only that the search vocabulary captured the intended topic space. Refinement reduced these to a workable size: the most targeted Web of Science query, “WhatsApp channel AND corporate communication”, returned 5 records, and a broader concept-name search returned 8. A parallel set of Scopus queries using TITLE-ABS-KEY syntax produced a consolidated export of 317 records after removing duplicates; this was screened in full.</p>
        <p>Screening proceeded from this combined pool, the full 317-record Scopus export, the high-precision Web of Science queries (5, 8, and 38 records), and the supplementary platform searches, applied against the criteria in Section 4.3. The large low-precision outputs were checked only for additional relevant records beyond those already captured; none were found. Appendix reports the complete search history and the resulting PRISMA flow. See <bold>Table A2</bold> in Appendix for the PRISMA 2020 Flow.</p>
      </sec>
      <sec id="sec4dot3">
        <title>4.3. Inclusion and Exclusion Criteria</title>
        <p>Included sources were published between 2021 and 2026 (pre-2021 foundational theory cited separately as background per <bold>Table 1</bold>); substantially examined WhatsApp, WhatsApp Channels, or comparable broadcast features (Telegram channels) in relation to organisational, corporate, journalistic or civic communication; addressed communication, engagement, dissemination, broadcasting, or platformisation; and were published in English. Peer-reviewed journal articles were prioritised; grey literature was included where it made a substantial contribution but is classified separately (<bold>Table 1</bold>, reference list). Official Meta and industry sources (Reuters Institute, Nieman Journalism Lab) were used only for factual claims about platform functionality, never as scholarly evidence.</p>
        <p>Excluded sources comprised studies outside 2021-2026 (unless serving as background theory, labelled as such); studies in which WhatsApp featured only incidentally (fake-news perception, general COVID-19 misinformation, TikTok, or health-education studies surveying WhatsApp among several platforms); purely technical or clinical studies without a communication-theory contribution; marketing studies concerned only with financial-performance metrics without engaging corporate communication as a construct; and sources whose bibliographic details could not be independently verified. This exclusion category was the single largest determinant of the review’s final size: the great majority of records returned were excluded on this basis, since general social-media research is a much larger literature than research specifically engaging WhatsApp as a corporate communication tool.</p>
      </sec>
      <sec id="sec4dot4">
        <title>4.4. Screening, Selection, and Reconciliation of the Evidence Base</title>
        <p>Appendix reports the full PRISMA flow. Across all databases and platforms, screening and eligibility assessment yielded 42 scholarly sources: 22 peer-reviewed journal articles, 2 conference or working papers identified directly through the search, 14 further peer-reviewed sources identified through the database search and independently verified against publisher pages and DOI resolvers, and 4 sources identified through citation tracing and likewise verified.</p>
        <p><bold>Table 1</bold> partitions the literature base into three categories. Category A comprises the 42 primary scholarly sources meeting all inclusion criteria and constituting the core evidence base. Category B comprises pre-2021 foundational texts, retained solely to establish normative evaluation standards and excluded from the primary evidence count. Category C comprises industry and institutional sources used strictly to verify factual claims, never cited as evidence for a theoretical or empirical claim.</p>
        <p><bold>Table 1.</bold>Reconciliation of the literature base into evidence-role categories.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>Category</td>
                <td>Sources (n)</td>
                <td>Eligibility rule</td>
                <td>Role in synthesis</td>
              </tr>
              <tr>
                <td>A: Primary scholarly evidence</td>
                <td>42</td>
                <td>Published 2021-2026; substantially examines WhatsApp, messaging affordances, corporate communication, or platformisation; independently verified bibliographic details</td>
                <td>Core evidence base for all empirical and theoretical claims in Sections 5-7</td>
              </tr>
              <tr>
                <td>B: Foundational background theory</td>
                <td>
                  2 ([
                  <xref ref-type="bibr" rid="B14">14</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B26">26</xref>
                  ])
                </td>
                <td>Seminal pre-2021 texts establishing a normative theoretical standard; not evaluated as empirical evidence</td>
                <td>Provides the normative benchmark (e.g., two-way symmetry) against which Category A findings are evaluated; never counted in evidence totals</td>
              </tr>
              <tr>
                <td>C: Industry and institutional sources</td>
                <td>
                  ~12 (e.g., Reuters Institute, 2024; [
                  <xref ref-type="bibr" rid="B32">32</xref>
                  ])
                </td>
                <td>Official platform documentation or reputable industry/trade research; not peer-reviewed</td>
                <td>Restricted strictly to factual claims about platform functionality, launch dates, and documented practitioner experience</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec4dot5">
        <title>4.5. Quality Appraisal and Evidentiary Weighting</title>
        <p>Given the heterogeneous mix of study designs, quality appraisal drew on the logic of the Mixed Methods Appraisal Tool (MMAT), which permits differentiated criteria per design rather than a single checklist. <bold>Table 2</bold> reports, for each of four evidentiary tiers, the criteria applied and the weight given to claims from that tier in Sections 5 to 8. Conceptual contributions (e.g., [<xref ref-type="bibr" rid="B38">38</xref>] discourse analysis) were appraised for argumentative coherence rather than excluded for lacking an empirical design. Grey literature was retained where transparent and relevant, but weighted lower than peer-reviewed journal literature.</p>
        <p><bold>Table 2.</bold>Quality appraisal tiers and evidentiary weighting.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>Tier</td>
                <td>Appraisal criteria (MMAT logic)</td>
                <td>Outcome</td>
                <td>Weighting applied to claims</td>
              </tr>
              <tr>
                <td>1: Peer-reviewed empirical journal articles</td>
                <td>Methodological transparency, sampling rationale, data collection clarity, analytical coherence, fit between data and theoretical framing</td>
                <td>Criteria satisfied by the large majority of Tier 1 sources reviewed</td>
                <td>
                  High: primary evidence for empirical claims about user behaviour, organisational practice, and affordance use (e.g., [
                  <xref ref-type="bibr" rid="B16">16</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B25">25</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B23">23</xref>
                  ])
                </td>
              </tr>
              <tr>
                <td>2: Peer-reviewed conceptual/theoretical syntheses</td>
                <td>Argumentative coherence, integration of prior literature, clarity and precision of definitions</td>
                <td>Criteria satisfied; used to ground, not to test, theoretical claims</td>
                <td>
                  Medium-high: foundation for the theoretical framework and conceptual development in Section 7 ([
                  <xref ref-type="bibr" rid="B37">37</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B21">21</xref>
                  ])
                </td>
              </tr>
              <tr>
                <td>3: Scholarly grey literature (conference papers, theses, working papers)</td>
                <td>Clarity of research design, verifiability of source, transparency of analytical process</td>
                <td>Mixed; retained where transparent, flagged where verification was partial</td>
                <td>
                  Medium-low: used to corroborate or illustrate trends where peer-reviewed coverage is still emerging, never as sole support for a claim ([
                  <xref ref-type="bibr" rid="B30">30</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B44">44</xref>
                  ])
                </td>
              </tr>
              <tr>
                <td>4: Industry and institutional sources</td>
                <td>Direct source attribution; factual, non-scholarly claims only</td>
                <td>Factually consistent across independent sources for platform-feature claims</td>
                <td>
                  Restricted: used only to verify platform functionality, launch dates, and practitioner-reported experience (e.g., [
                  <xref ref-type="bibr" rid="B42">42</xref>
                  ]; [
                  <xref ref-type="bibr" rid="B31">31</xref>
                  ])
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec4dot6">
        <title>4.6. Data Extraction and Synthesis</title>
        <p>A data-extraction matrix (<bold>Table 3</bold>) recorded, for each source: author(s) and year; country; research purpose; communication context; WhatsApp function studied; methodology; theoretical framework; key findings; and relevance to interactivity, dialogue, organisational control, and the re-broadcastification proposition. Thematic synthesis followed an inductive-deductive approach: pre-specified themes formed an initial coding frame, refined iteratively as sources were extracted.</p>
      </sec>
    </sec>
    <sec id="sec5">
      <title>5. Findings</title>
      <p>Findings are presented across five consolidated themes, supported by <bold>Table 3</bold>. Findings for pre-Channel WhatsApp literature (2021-2023) are considerably more developed than findings addressing Channels specifically (2023-2026), a pattern discussed as a finding in its own right in Section 5.5.</p>
      <p><bold>Table 3.</bold>Characteristics of included studies (illustrative selection).</p>
      <table-wrap id="tbl3">
        <label>Table 3</label>
        <table>
          <tbody>
            <tr>
              <td>Author(s), Year</td>
              <td>Context</td>
              <td>WhatsApp function</td>
              <td>Method</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B17">17</xref>
                ]
              </td>
              <td>Global</td>
              <td>Platform, general</td>
              <td>Book-length platform history/analysis</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B38">38</xref>
                ]
              </td>
              <td>Global (corporate discourse)</td>
              <td>Corporate blog/website</td>
              <td>Diachronic discourse analysis</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B24">24</xref>
                ]
              </td>
              <td>Spain</td>
              <td>General messaging, news</td>
              <td>Practice theory, qualitative</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B23">23</xref>
                ]
              </td>
              <td>Israel</td>
              <td>General messaging (PR/journalism)</td>
              <td>Qualitative interview study</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B22">22</xref>
                ]
              </td>
              <td>Spain</td>
              <td>General messaging (local government)</td>
              <td>Qualitative case study</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B16">16</xref>
                ]
              </td>
              <td>Tanzania</td>
              <td>Groups (org. use)</td>
              <td>Qualitative case study</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B21">21</xref>
                ]
              </td>
              <td>Multi-platform (incl. WhatsApp)</td>
              <td>Groups &amp; bounded spaces</td>
              <td>Qualitative interviews (N = 35)</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B25">25</xref>
                ]
              </td>
              <td>Nigeria</td>
              <td>Groups (professional)</td>
              <td>Retrospective content analysis (N = 20,760 chats)</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B2">2</xref>
                ]
              </td>
              <td>Malaysia</td>
              <td>Groups (school management)</td>
              <td>Qualitative case study</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B8">8</xref>
                ]
              </td>
              <td>South Africa</td>
              <td>General messaging</td>
              <td>Qualitative pilot study</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B12">12</xref>
                ]
              </td>
              <td>Indonesia</td>
              <td>General social media</td>
              <td>Qualitative case study</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B37">37</xref>
                ]
              </td>
              <td>Conceptual/global</td>
              <td>N/A (theory review)</td>
              <td>Systematic literature review</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B45">45</xref>
                ]
              </td>
              <td>Global (bibliometric)</td>
              <td>N/A (research landscape)</td>
              <td>Bibliometric analysis (N = 12,947 papers)</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B36">36</xref>
                ]
              </td>
              <td>Global</td>
              <td>N/A (platform theory)</td>
              <td>Conceptual/theoretical</td>
            </tr>
            <tr>
              <td>
                [
                <xref ref-type="bibr" rid="B6">6</xref>
                ]
              </td>
              <td>Multi-country</td>
              <td>Groups</td>
              <td>Qualitative, labour organising</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <sec id="sec5dot1">
        <title>5.1. Theme 1: From Interpersonal Messaging to the Promise of Social Media Dialogue</title>
        <p>[<xref ref-type="bibr" rid="B17">17</xref>] document WhatsApp’s transformation from a founder-era messaging app into a superapp absorbing commercial and civic functions previously distributed across separate services, a trajectory consistent with public relations scholarship tracking practitioners’ engagement across an increasingly fragmented platform landscape. Directly within this tradition, [<xref ref-type="bibr" rid="B23">23</xref>] found WhatsApp sustaining genuinely reciprocal, dialogic professional exchange between PR practitioners and journalists, describing it as an alternative tribal city square for the industry, while documenting the occupational strain constant connectivity produced. This is direct, peer-reviewed evidence that WhatsApp’s core architecture was, and remains, capable of the two-way professional dialogue that Channels’ architecture, discussed under Theme 2, structurally removes.</p>
        <p>Organisational adoption in African contexts shows this dissemination-oriented pattern was established before Channels existed, not merely compatible with it. WhatsApp was used for Tanzanian public-sector communication largely informally and without institutional authorisation despite recognised benefits ([<xref ref-type="bibr" rid="B16">16</xref>]); [<xref ref-type="bibr" rid="B29">29</xref>] Zambian evidence treats communication as a managerial output to be optimised, not a relationship to be negotiated, the same one-directional logic visible in Tanzania. South African organisations already treated WhatsApp groups as one platform among several for disseminating institutional messaging, a framing closer to broadcasting than dialogue even before Channels existed ([<xref ref-type="bibr" rid="B13">13</xref>]). This is not a regional pattern because [<xref ref-type="bibr" rid="B22">22</xref>] found Spanish local governments using WhatsApp primarily for direct service dissemination rather than civic deliberation, on infrastructure that remained fully reciprocal throughout. Three studies, three continents, one finding: given a reciprocal technology, organisations used it to disseminate rather than converse, well before Meta removed the option to do otherwise.</p>
        <p>Against this trajectory, dialogic and two-way symmetrical communication establishes the normative benchmark this review uses to evaluate Channels. [<xref ref-type="bibr" rid="B18">18</xref>] architectural reframing avoids assuming any platform automatically enables dialogue; dialogic potential is a designed property. [<xref ref-type="bibr" rid="B12">12</xref>] found organisations achieving genuinely reciprocal engagement through deliberate strategic choices rather than passive use, reinforcing that successful dialogic social media use depends on affordances supporting reply and exchange, precisely what Channels’ architecture removes.</p>
      </sec>
      <sec id="sec5dot2">
        <title>5.2. Theme 2: Broadcast Architecture, Audience Exposure and Organisational Control</title>
        <p>Platform documentation, Digital News Report ([<xref ref-type="bibr" rid="B42">42</xref>]; [<xref ref-type="bibr" rid="B31">31</xref>]), and Nieman Journalism Lab’s practitioner interviews confirm a consistent Channel architecture; that is, one-way, admin-only posting in a separate Updates tab; no reply or comment function; follower reaction limited to emoji and polls; and follower privacy maintained from the administrator and other followers, structurally distinct from Groups and Communities. No peer-reviewed study located examines this architecture through a corporate-communication lens. The theme is reconstructed from platform documentation and extrapolation from Theme 1, a gap discussed in Section 5.5 and Section 9.</p>
        <p>This architecture has direct consequences for how audience response should be classified, unfavourably to any claim that Channels are meaningfully interactive. This review applies the Consumer Online Brand-Related Activities (COBRA) framework, developed by [<xref ref-type="bibr" rid="B39">39</xref>] and formalised by [<xref ref-type="bibr" rid="B28">28</xref>] into three tiers, consumption, contribution, and creation, as its own analytical application; no source reviewed develops or applies COBRA to Channels. Applied to Channels, the architecture makes contribution and creation technically impossible as emoji reactions and polls are the entire ceiling, fixed by the software regardless of organisational choice or follower motivation.</p>
        <p>The force of this finding is best seen by contrast. [<xref ref-type="bibr" rid="B25">25</xref>] analysis of a Nigerian professional association’s WhatsApp Group found interactive messages the predominant category (64.5% of content) where reply was technically available. [<xref ref-type="bibr" rid="B48">48</xref>] found the same permissiveness supporting sustained peer support among individuals with post-traumatic stress disorder; cited strictly for what it demonstrates about Groups, not Channels or COBRA. Set against these findings, the consumption-tier ceiling on Channels is the removal of behaviour Groups support at rates of majority use, not a modest reduction from some baseline. The literature’s vanity-metrics critique applies with force follower counts and reaction tallies, the only metrics available to organisations using Channels, and are exactly the category identified as disconnected from evidence of engagement, and no other metric exists because the architecture generates none.</p>
        <p>The same architecture that caps engagement also concentrates control, and the evidence does not support treating this as incidental. This is because only administrators may post, organisations exercise complete authority over message selection, timing and framing, with no counter-messaging or dissent possible within the Channel. This is not novel but a pre-existing practitioner orientation Channels formalise and make permanent. [<xref ref-type="bibr" rid="B13">13</xref>] South African case study is direct evidence of the orientation independent of platform, saying practitioners described social media strategy in terms of controlling their agenda, not dialogue, even on platforms including Groups that remain technically capable of reply. The plain reading is that practitioners wanted the outcome Channels now deliver by design before Channels existed to deliver it.</p>
        <p>Two further studies corroborate this from different settings. [<xref ref-type="bibr" rid="B2">2</xref>] found mobile instant messaging in a Malaysian school organisation redistributing decision-making power toward those controlling message flow, even in a nominally multi-way Group. A companion study found event-management organisers using message-control functions, muting, restricting posting, deliberately to suppress open discussion for coordination efficiency ([<xref ref-type="bibr" rid="B1">1</xref>]). Neither examined Channels; both found organisations exploiting whatever control the architecture allowed. Read against [<xref ref-type="bibr" rid="B13">13</xref>], this is a consistent pattern across three countries: organisations select for reduced interactivity when the technology gives them the choice; Channels remove the choice and make the outcome structural.</p>
        <p>A South African study of WhatsApp’s managerial use in a sales company examines the same dynamic, though its findings fall outside what could be independently verified and are noted only as an unconfirmed, directionally consistent data point ([<xref ref-type="bibr" rid="B44">44</xref>]). [<xref ref-type="bibr" rid="B3">3</xref>] extend the finding into the affective register that employees awaiting a supervisor’s reply reported heightened negative emotion and self-monitoring, so control over messaging is experienced as psychological pressure, not merely an administrative feature. None of this concerns Channels directly, but four studies converging on the same orientation, across health, education, government and corporate settings, is not a weak basis for concluding Channels’ foreclosure of reply answers a demand organisations already had.</p>
      </sec>
      <sec id="sec5dot3">
        <title>5.3. Theme 3: The Digital Billboard</title>
        <p>This review tests, rather than assumes, whether Channels function as a digital billboard, and the test produces a mixed verdict. [<xref ref-type="bibr" rid="B4">4</xref>] and [<xref ref-type="bibr" rid="B40">40</xref>] establish the comparator empirically that a billboard is a logic in which an organisation purchases media space and audiences are exposed with no capacity for response, confirmed under close observation by their driving-behaviour studies. Channels reproduce the core of that logic, one-way exposure, no response mechanism, but diverge in three economically significant respects: Channels are free where a billboard is a paid buy; content travels to the follower’s device rather than a fixed location; and exposure requires an opt-in follow rather than passers-by. On the billboard literature’s strict definition, Channels are not a billboard; they lack the paid-media-space requirement central to what a billboard is. What they share is narrower. That is, the exposure logic: one organisation speaking, one audience receiving, nothing built in for reply.</p>
        <p>[<xref ref-type="bibr" rid="B46">46</xref>] found out-of-home advertising and social media each independently affect brand awareness through different mechanisms; this does not show Channels are a billboard, but shows the two media are functionally comparable, economically distinct routes to the same goal. The interesting question is therefore not whether Channels are a billboard; they are not, but what the different economics imply for who bears the cost.</p>
        <p>No study located, including the expanded database search in Section 4, has measured the data cost, storage, or attention burden Channel content imposes on followers; any claim of a measured connectivity cost would be unsupported, and this review makes none. What the evidence supports is a theoretical implication which [<xref ref-type="bibr" rid="B8">8</xref>] found WhatsApp’s affordability and prevalence were the stated reasons South Africans chose it over alternatives, establishing connectivity cost as a live, decision-shaping constraint independent of Channels-specific data; [<xref ref-type="bibr" rid="B7">7</xref>] document South African infrastructure inequality as general and well-established. Combined with the fact that Channels push an increasing volume of broadcast content onto exactly this cost-sensitive infrastructure, this is sufficient to conclude, as a theoretical implication rather than a measurement, that Channels shift a real infrastructural cost onto audiences in mobile-first markets. That the size of this cost is unmeasured for Channels specifically is a genuine limitation, stated in Section 9, not a reason to avoid the implication.</p>
      </sec>
      <sec id="sec5dot4">
        <title>5.4. Theme 4: Platformisation, Trust and the Strategic Case for Broadcast Architecture</title>
        <p>[<xref ref-type="bibr" rid="B38">38</xref>] discourse analysis provides the clearest documentation of platformisation as a lived process within WhatsApp, tracing how its self-presentation evolved alongside commercial expansion. A parallel study of WhatsApp Business in India found monetisation creating structural tension for smaller businesses between free accessibility and new feature costs ([<xref ref-type="bibr" rid="B9">9</xref>]), directly relevant to the digital billboard argument in Theme 3 and Section 7. This trajectory intersects with messaging-app trust literature. [<xref ref-type="bibr" rid="B34">34</xref>] and [<xref ref-type="bibr" rid="B27">27</xref>] argue trust in messaging platforms is determined by governance arrangements, not individual feature design in isolation. This rules out an easy reassurance, since reduced interactivity on Channels cannot be assumed trust-neutral just because it sits inside a platform users trust for other reasons. No study has tested this relationship for Channels directly, so the reputational consequence of Channels’ architecture remains an open empirical question this review cannot resolve favourably by default; the gap is noted again in Section 9.</p>
        <p>The organisational advantages of Channels are real, documented in the literature, not asserted for balance. Predictable distribution removes the moderation burden open commenting imposes, treated as substantial in organisational risk-management literature. Direct reach at no media cost improves on declining organic reach on curated feeds, the calculation behind publishers’ Channel adoption ([<xref ref-type="bibr" rid="B32">32</xref>]; [<xref ref-type="bibr" rid="B42">42</xref>]; [<xref ref-type="bibr" rid="B31">31</xref>]). [<xref ref-type="bibr" rid="B33">33</xref>] show this preference for control is deliberate when Malaysian Indian community agencies actively chose controlled, single-source crisis messaging to prevent conflicting information circulating; the same architectural feature Theme 2 shows concentrating power also makes communication reliable in this use case. Channels also reduce information overload relative to Groups, extending WhatsApp’s pandemic-era value for rapid health information dissemination in South Africa ([<xref ref-type="bibr" rid="B8">8</xref>]) into a lower-noise format.</p>
      </sec>
      <sec id="sec5dot5">
        <title>5.5. Theme 5: Communicative Limitations, and the Confirmed Literature Gap</title>
        <p>The limitations converse to Theme 4’s advantages—lack of dialogue, minimal feedback, audience passivity, and reduced accountability—are documented across Themes 2 and 4, and no evidence supports softening this for Channels specifically. [<xref ref-type="bibr" rid="B47">47</xref>] documents an ethical risk in WhatsApp’s work-related use generally, saying organisational messaging on a personal device blurs work-life boundaries. This risk worsens for Channels, which remove the one thing making it manageable in Groups, the recipient’s ability to reply or negotiate boundaries. [<xref ref-type="bibr" rid="B41">41</xref>] provide quantitative evidence that always-on availability increases work-related strain even while employees value the same tool’s convenience; strain and convenience are the same mechanism viewed from two angles, and a channel keeping the convenience while removing the audience’s remaining points of control cannot be expected to keep the strain constant.</p>
        <p>A further limitation, methodological rather than communicative, is a finding in its own right. Across an extensive combined search (Appendix), no peer-reviewed study examines WhatsApp Channels specifically through a corporate-communication lens. This is corroborated independently by a bibliometric analysis mapping 12,947 WhatsApp-related papers, which found organisational applications a comparatively minor strand within literature dominated by health and education studies, with no cluster around Channels as a corporate-communication phenomenon ([<xref ref-type="bibr" rid="B45">45</xref>]), strengthening the claim that this gap is a genuine feature of the literature, not an artefact of this review’s search strategy.</p>
        <p>This is a genuine literature gap consistent with RQ5, not a search failure. Channels launched globally only in September 2023, and typical peer-review timelines of eighteen months to three years mean Channel-specific scholarship may still be in the publication pipeline. The gap is nonetheless substantively important as it means the central claim this review investigates cannot yet be directly confirmed or disconfirmed by dedicated research on Channels themselves. The argument in Section 7 is presented as an evidence-based extrapolation, not a settled empirical finding.</p>
      </sec>
    </sec>
    <sec id="sec6">
      <title>6. Discussion</title>
      <p>The findings suggest Channels are best understood not as a wholly new communicative form but as the formalisation, at architecture level, of a broadcast-oriented pattern already latent in WhatsApp’s organisational adoption before 2023. [<xref ref-type="bibr" rid="B5">5</xref>] pre-Channel distinction between distribution and engagement channels anticipates the split Meta’s architecture hard-codes, corroborated by [<xref ref-type="bibr" rid="B22">22</xref>] finding that Spanish local governments already used WhatsApp’s reciprocal architecture one-way, where pre-Channel literature described this as organisational choice within a technically reciprocal medium; Channels remove the choice. This distinguishes re-broadcastification, developed in Section 7, from a claim that broadcasting on WhatsApp is merely new. The argument is that its architectural formalisation, and the foreclosure of alternative dialogic uses within that space, is new.</p>
      <p>Against the benchmarks in Section 3, Channels fail them outright, not marginally. [<xref ref-type="bibr" rid="B18">18</xref>] architectural account predicts exactly this outcome for a space designed without reply, and the Theme 2 finding that engagement is capped at COBRA’s lowest tier confirms the prediction that the ceiling is the floor, since contribution and creation are technically unavailable. [<xref ref-type="bibr" rid="B23">23</xref>] finding that WhatsApp’s core architecture, unlike Channels, sustained genuinely reciprocal PR-journalist dialogue sharpens this, as the same platform supports markedly different outcomes depending on configuration, so the shortfall is a property of Meta’s design choice for this feature, not a limitation of WhatsApp as a medium. This is not unmotivated because the same architecture reduces reputational risk and moderation burden, explaining publisher adoption ([<xref ref-type="bibr" rid="B42">42</xref>]; [<xref ref-type="bibr" rid="B31">31</xref>]) and appearing as a deliberate choice in crisis communication ([<xref ref-type="bibr" rid="B33">33</xref>]). An explanation for why organisations chose reduced dialogue is not evidence that dialogue was preserved.</p>
      <p>Platformisation theory offers the most productive explanatory frame. [<xref ref-type="bibr" rid="B38">38</xref>] documentation of tension between WhatsApp’s intimacy branding and commercial expansion, and [<xref ref-type="bibr" rid="B9">9</xref>] parallel documentation in India, suggest Channels are a predictable expression of that trajectory, which is that a platform whose commercial logic depends on organisational use will develop features serving broadcast needs even where this sits in tension with its founding identity. The shift toward broadcasting is a structural consequence of platformisation’s economic logic, not an accident of feature design.</p>
      <p>The digital billboard proposition, tested in Theme 3, does not hold on its strict definition. Channels lack the paid-media-space requirement central to what a billboard is. What holds is narrower; that is, Channels reproduce a billboard’s exposure logic without its cost structure. On connectivity cost, no Channel-specific data-use measurement was located even after the expanded search in Section 4, and no claim is made that audiences have been shown to pay for Channel content. The evidence in Section 5.3 supports a theoretical implication, not a measurement, that audiences in cost-sensitive markets bear a portion of the connectivity cost of broadcast content on infrastructure they fund; that this remains unmeasured is a gap this review reports, and Section 9 identifies it as a research priority.</p>
      <p>Taken together, three propositions follow. First, Channels reshape corporate communication toward reduced interactivity and increased control, consistent with re-broadcastification, though drawn from adjacent literature rather than dedicated Channel-specific research. Second, this is not evidence of regression toward pre-social-media broadcasting; it demonstrates that architecture, not medium, determines dialogic potential, supported by affordance theory ([<xref ref-type="bibr" rid="B37">37</xref>]; [<xref ref-type="bibr" rid="B21">21</xref>]) and the contrast between Channels and genuinely dialogic WhatsApp uses elsewhere ([<xref ref-type="bibr" rid="B6">6</xref>]; [<xref ref-type="bibr" rid="B48">48</xref>]; [<xref ref-type="bibr" rid="B23">23</xref>]). Third, the equivalences digital equals interactive, social media equals dialogic, and engagement equals participation are not supported, as each depends on affordance configurations platform owners design in or out according to commercial logic, of which Channels are one instance.</p>
    </sec>
    <sec id="sec7">
      <title>7. Towards a Concept of Re-Broadcastification</title>
      <p>This section develops re-broadcastification as a conceptual contribution, evaluated against existing terminology rather than assumed established. <bold>Table 4</bold> differentiates four adjacent concepts.</p>
      <p><bold>Table 4.</bold>Differentiating re-broadcastification from adjacent communication constructs.</p>
      <table-wrap id="tbl4">
        <label>Table 4</label>
        <table>
          <tbody>
            <tr>
              <td>Construct</td>
              <td>Core definition</td>
              <td>Distinguishing attributes</td>
              <td>Differentiation from re-broadcastification</td>
            </tr>
            <tr>
              <td>Classical broadcasting</td>
              <td>
                Centralised one-to-many transmission via dedicated media (e.g., television, radio) to mass audiences ([
                <xref ref-type="bibr" rid="B26">26</xref>
                ])
              </td>
              <td>Built on non-reciprocal infrastructure from inception; no return channel</td>
              <td>Never possessed an interpersonal baseline; re-broadcastification requires a documented prior or concurrent reciprocal use-context</td>
            </tr>
            <tr>
              <td>One-way communication</td>
              <td>Medium-agnostic descriptor for any communication lacking a feedback loop</td>
              <td>Applies equally to print advertising, billboards, and public notices</td>
              <td>Lacks the architectural-retrofitting and platform-identity tension specific to re-broadcastification</td>
            </tr>
            <tr>
              <td>Platformisation</td>
              <td>
                Structural penetration of platform infrastructures and economic logics into societal domains ([
                <xref ref-type="bibr" rid="B36">36</xref>
                ])
              </td>
              <td>Macro-level economic and governance process, not a communicative form</td>
              <td>Explains why re-broadcastification occurs; does not itself describe the resulting one-way architecture</td>
            </tr>
            <tr>
              <td>Dialogic communication (absence of)</td>
              <td>
                Normative standard describing openness, mutuality, and reciprocal exchange ([
                <xref ref-type="bibr" rid="B18">18</xref>
                ])
              </td>
              <td>A relational quality, evaluated rather than architecturally defined</td>
              <td>Provides the evaluative benchmark against which re-broadcastification is judged; does not itself name the architecture</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>None of these concepts captures the specific phenomenon documented here. The retrofitting of one-way architecture into a space previously, and still substantially, used for interpersonal communication elsewhere in the same application. Classical broadcasting never had an interpersonal baseline to retrofit; platformisation explains the economic driver but not the resulting architecture. [<xref ref-type="bibr" rid="B21">21</xref>] finding that WhatsApp requires disaggregation into its constituent bounded and broadcast spaces supports the claim that existing vocabulary is inadequate here. [<xref ref-type="bibr" rid="B23">23</xref>] documentation of reciprocal dialogue on WhatsApp’s core function and [<xref ref-type="bibr" rid="B22">22</xref>] documentation of one-way institutional dissemination on that same infrastructure confirm WhatsApp has long supported both modes simultaneously, precisely the pre-existing condition re-broadcastification requires.</p>
      <p>Therefore, re-broadcastification is defined as the process through which a platform, or a bounded space within it, previously associated with reciprocal communication is reconfigured, through deliberate architectural and commercial design choices, into a controlled, scalable, predominantly one-way channel for organisational dissemination, while the broader platform continues to support interpersonal communication elsewhere within its architecture.</p>
      <p>Three characteristics distinguish it from neighbouring concepts. Prior reciprocity: it requires a documented prior or concurrent reciprocal use-context, separating it from classical broadcasting and from born-broadcast formats such as email newsletters. Architectural formalisation: it describes a deliberate technical foreclosure of reply, distinguishing it from cases where users simply choose to use a reciprocal medium in a broadcast-like manner, such as an unanswered open Facebook page. Co-existence with continuing interpersonal identity: the tension [<xref ref-type="bibr" rid="B38">38</xref>] documents between branding that emphasises intimacy and features that formalise broadcast-only architecture gives the concept its critical force.</p>
      <p>A conceptual model proceeds through four stages. Traditional corporate communication, one-way messaging through owned and paid media, gives way to social media and dialogic communication, where networked platforms promise, and in documented cases deliver ([<xref ref-type="bibr" rid="B12">12</xref>]; [<xref ref-type="bibr" rid="B23">23</xref>]), genuine reciprocal engagement. Within specific bounded spaces, this trajectory bends back toward Channels, which formalise one-way distribution within an application otherwise associated with reciprocity. The result is re-broadcastification, and this is not a return to pre-digital broadcasting, since the platform and its opt-in distribution model differ substantially, but a structurally comparable reassertion of one-way, organisation-controlled communication, legitimated by continuing to operate within a platform publicly associated with sociality.</p>
      <p>This review’s confirmed literature gap, corroborated bibliometrically ([<xref ref-type="bibr" rid="B45">45</xref>]), means re-broadcastification is presented as a theoretically grounded proposition rather than an empirically confirmed phenomenon. Section 9 identifies direct empirical testing against Channel-specific data as the field’s most pressing priority.</p>
    </sec>
    <sec id="sec8">
      <title>8. Implications for Corporate Communication</title>
      <p>Practitioners should evaluate Channels for what their architecture permits rather than assume they inherit social media’s dialogic reputation. Channels suit time-sensitive, high-reach, low-controversy distribution where organisational control over framing is legitimate, service announcements, breaking updates, consistent with the advantages under Theme 4, including the deliberate preference for controlled crisis messaging ([<xref ref-type="bibr" rid="B33">33</xref>]). They suit poorly, on this evidence, tasks requiring stakeholder consultation, complaint handling, or relationship-building of the kind [<xref ref-type="bibr" rid="B23">23</xref>] documents for WhatsApp’s core function, since Channels provide no mechanism for these within the Channel itself; organisations pursuing such goals must route them through reciprocal messaging or Business API functions, or risk stakeholders perceiving a mismatch between the platform’s implied sociality and its actual one-way use.</p>
      <p>For reputation, Theme 4’s trust findings ([<xref ref-type="bibr" rid="B34">34</xref>]) and Theme 2’s vanity-metrics critique together caution against reporting follower counts or view metrics as evidence of meaningful engagement, which risks conflating exposure with the genuine exchange two-way symmetry and dialogic theory require. For transparency, the absence of a visible public response mechanism means organisations using Channels for civic-facing communication should consider what parallel accountability mechanisms exist for functions open commenting, however imperfectly, has historically provided.</p>
      <p>For strategy in mobile-first, data-cost-sensitive markets such as South Africa, Themes 3 and 4 point in two directions organisations must weigh against each other. Channels’ zero direct-media-cost structure genuinely benefits resource-constrained organisations. Against that sits the connectivity-cost burden placed on audiences (Section 5.3, a theoretical implication rather than a measured figure) and Meta’s broader WhatsApp Business monetisation trajectory ([<xref ref-type="bibr" rid="B9">9</xref>]), which gives no confidence that Channels-adjacent functionality stays free indefinitely. An organisation adopting Channels because they are currently free is shifting cost onto its audience now while carrying uncosted risk of a future fee; that trade-off should be named to decision-makers, not folded into a general efficiency claim.</p>
    </sec>
    <sec id="sec9">
      <title>9. Research Gaps and Future Research</title>
      <p>Five specific priorities emerge, consistent with RQ5. First, and most pressing given the gap in Section 5.5 corroborated by [<xref ref-type="bibr" rid="B45">45</xref>]), dedicated content analysis of corporate and public-institution Channels is needed to test re-broadcastification against Channel-specific data rather than by extrapolation. Second, interview research with practitioners who have adopted Channels would establish whether adoption is driven by the strategic advantages under Theme 4, by platform-dependency dynamics ([<xref ref-type="bibr" rid="B35">35</xref>]), or by other motivations. Third, audience-side studies of follower perception, whether Channels are seen as a continuation of WhatsApp’s identity or as equivalent to email newsletters, would test the claim that re-broadcastification depends on a tension between branding and architecture. Fourth, comparative studies against Telegram channels ([<xref ref-type="bibr" rid="B43">43</xref>]) and Instagram Broadcast Channels would establish whether this pattern is WhatsApp-specific or a general messaging-platform tendency. Fifth, empirical measurement of data usage and access costs associated with Channel subscriptions in mobile-first markets is needed, since the connectivity-cost argument here is a theoretical implication, not a measurement; existing South African evidence addresses WhatsApp generally but not Channels directly, a gap stated explicitly.</p>
    </sec>
    <sec id="sec10">
      <title>10. Conclusion</title>
      <p>This review asked if social media was celebrated for making corporate communication more interactive; what does it mean when organisations adopt architectures that let them speak to audiences without conversing with them? The evidence, from affordance theory, platformisation scholarship, dialogic theory, and pre-Channel WhatsApp literature, supports the conclusion that Channels represent a defensible instance of re-broadcastification, a reconfiguration of a platform still substantially associated with interpersonal reciprocity into a space that, within Channels specifically, forecloses that reciprocity by design. This is offered as a theoretically grounded argument, not an empirically settled finding, because this review’s search confirmed that dedicated peer-reviewed research on Channels through a corporate-communication lens does not yet exist in meaningful volume, a gap the field should now address. The broader implication extends beyond WhatsApp. Digital communication’s evolution should not be assumed to move linearly from dissemination toward dialogue; platform development can, under specific commercial and architectural conditions, reconstruct broadcasting within environments still publicly identified as social. The equivalences this review challenges—digital is inherently interactive, social media inherently dialogic, and engagement inherently meaningful participation—are not supported as general claims. Each depends on affordances platform owners retain the power to grant or withhold. What happens when social media becomes a broadcasting environment is that scholarship must resist treating platform and practice as synonymous, and examine, space by space, what a given architecture actually permits.</p>
    </sec>
    <sec id="sec11">
      <title>Acknowledgements</title>
      <p>I would like to thank the University of Limpopo Library and Information Services, particularly Ms Abigail Shoroma, for assisting me in accessing a broad range of research databases and in developing effective and meaningful search strategies.</p>
    </sec>
    <sec id="sec12">
      <title>Appendix: Search Strategy and PRISMA 2020 Flow</title>
      <p><bold>A1. Full Search History</bold></p>
      <p><bold>Table A1.</bold>Web of Science Core Collection search history.</p>
      <table-wrap id="tbl5">
        <label>Table 5</label>
        <table>
          <tbody>
            <tr>
              <td>Query</td>
              <td>Database</td>
              <td>Results</td>
            </tr>
            <tr>
              <td>WhatsApp channel and corporate communication</td>
              <td>Core Collection</td>
              <td>5</td>
            </tr>
            <tr>
              <td>“WhatsApp Channel” OR “WhatsApp Channels”</td>
              <td>Core Collection</td>
              <td>38</td>
            </tr>
            <tr>
              <td>(“WhatsApp Channel*” OR “WhatsApp Channels”) AND (communication OR “corporate communication” OR “organisational communication” OR “public relations” OR engagement)</td>
              <td>Core Collection</td>
              <td>38</td>
            </tr>
            <tr>
              <td>WhatsApp OR “WhatsApp Business” AND (“corporate communication” OR “organisational communication” OR “public relations”) AND (engagement OR dialogue OR dissemination)</td>
              <td>Core Collection</td>
              <td>5739</td>
            </tr>
            <tr>
              <td>WhatsApp Channels AND (“corporate communication” OR “organisational communication” OR “public relations”) AND (engagement OR dialogue OR dissemination)</td>
              <td>Core Collection</td>
              <td>284</td>
            </tr>
            <tr>
              <td>WhatsApp AND (“dialogic communication” OR dialogue OR “two-way communication” OR interactiv* OR reciprocity OR “stakeholder engagement”)</td>
              <td>Core Collection</td>
              <td>285</td>
            </tr>
            <tr>
              <td>WhatsApp AND (broadcast* OR “one-way communication” OR dissemination OR “message control” OR “organisational control”)</td>
              <td>Core Collection</td>
              <td>219</td>
            </tr>
            <tr>
              <td>WhatsApp AND (affordance* OR “social media affordance*”) AND (communication OR engagement)</td>
              <td>Core Collection</td>
              <td>106</td>
            </tr>
            <tr>
              <td>(“WhatsApp”) AND (“platformisation” OR “platformization” OR “platform power” OR “commercialisation”)</td>
              <td>Core Collection</td>
              <td>14</td>
            </tr>
            <tr>
              <td>(“WhatsApp Channel*” OR “Telegram channel*” OR “broadcast channel*”) AND (communication OR engagement OR organisation* OR “public relations”)</td>
              <td>Core Collection</td>
              <td>2812</td>
            </tr>
            <tr>
              <td>“WhatsApp Business” AND “corporate communication” OR “customer engagement” OR “public relations”</td>
              <td>Core Collection</td>
              <td>10,246</td>
            </tr>
            <tr>
              <td>“WhatsApp Channels” OR “re-broadcastification” OR “bounded social media places”</td>
              <td>Core Collection</td>
              <td>8</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><bold>A2. PRISMA 2020 Flow</bold></p>
      <p><bold>Table A2.</bold>PRISMA 2020 flow.</p>
      <table-wrap id="tbl6">
        <label>Table 6</label>
        <table>
          <tbody>
            <tr>
              <td>Stage</td>
              <td>Records (n)</td>
              <td>Notes</td>
            </tr>
            <tr>
              <td>Records identified across all databases and platforms</td>
              <td>~505</td>
              <td>
                ~150 supplementary publisher-platform records (18 Boolean queries, Section 4.2) + 317 Scopus consolidated export + 38 unique Web of Science records (
                <bold>Table A1</bold>
                )
              </td>
            </tr>
            <tr>
              <td>Duplicate records removed</td>
              <td>~45</td>
              <td>Same study located via multiple hosting platforms or across databases</td>
            </tr>
            <tr>
              <td>Records screened (title/abstract)</td>
              <td>~460</td>
              <td>Screened against Section 4.3 criteria; excludes the large low-precision Web of Science outputs, checked separately only for additional relevant records not otherwise captured</td>
            </tr>
            <tr>
              <td>Records excluded at screening</td>
              <td>~395</td>
              <td>Off-topic, incidental mentions, CSR/financial-performance focus, clinical/technical focus</td>
            </tr>
            <tr>
              <td>Full-text reports assessed for eligibility</td>
              <td>~65</td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Reports excluded after full-text assessment</td>
              <td>~23</td>
              <td>Reclassified as background theory; unverifiable bibliographic detail</td>
            </tr>
            <tr>
              <td>Total scholarly sources included in synthesis (Category A)</td>
              <td>42</td>
              <td>
                22 peer-reviewed journal articles and 2 conference/working papers identified directly through the search; 14 further peer-reviewed sources verified against DOI resolvers and publisher pages; 4 sources added through citation tracing and likewise verified. See
                <bold>Table 1</bold>
                , Section 4.4.
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
  </body>
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</article>