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Brandt, J., Buckingham, K., Buntain, C., Anderson, W., Ray, S., Pool, J.-R., & Ferrari, N. (2020). Identifying Social Media User Demographics and Topic Diversity with Computational Social Science: A Case Study of a Major International Policy Forum. Journal of Computational Social Science, 3, 167-188.
https://doi.org/10.1007/s42001-019-00061-9

has been cited by the following article:

• TITLE: A Systematic Review of Political Media and Audience Engagement

  AUTHORS: Lege Liu, Norshahila Ibrahim

  KEYWORDS: Political Media, Audience Engagement, Media Factors, Public Factors

  JOURNAL NAME: Advances in Journalism and Communication, Vol.11 No.3, September 14, 2023

  ABSTRACT: Audience engagement in the new government media has become indispensable to government information dissemination. However, only some studies have analyzed the factors influencing audience engagement in new government media. Even fewer have compared the differences between Chinese and foreign studies on audience engagement in new government media. This study is a systematic literature review, selected Scopus and Cnki databases, and acquired 22 papers exploratively according to the review objective, which is to summarize the influencing factors of audience engagement in new government media and compare the differences between Chinese and foreign-related studies. The results of the study showed that a combination of media factors, public factors, environmental factors, and government factors influences audience engagement in new government media. Between Chinese and foreign scholars, there are huge differences in research platforms, research methods and research contents on audience engagement of the new government media.