| ID | 194286 |
| Title Proper | Selection and Description Bias in Protest Reporting by Government and News Media on Weibo |
| Language | ENG |
| Author | Lu, Yao ; Zhang, Han ; Bai, Rui |
| Summary / Abstract (Note) | Extensive research in Western societies has demonstrated that media reports of protests have succumbed to selection and description biases, but such tendencies have not yet been tested in the Chinese context. This article investigates the Chinese government and news media's selection and description bias in domestic protest events reporting. Using a large protest event data set from Weibo (CASM-China), we found that government accounts on Weibo covered only 0.4 per cent of protests while news media accounts covered 6.3 per cent of them. In selecting events for coverage, the news media accounts tacitly struck a balance between newsworthiness and political sensitivity; this led them to gravitate towards protests by underprivileged social groups and shy away from protests targeting the government. Government accounts on Weibo, on the other hand, eschewed reporting on violent protests and those organized by the urban middle class and veterans. In reporting selected protest events, both government and news media accounts tended to depoliticize protest events and to frame them in a more positive tone. This description bias was more pronounced for the government than the news media accounts. The government coverage of protest events also had a more thematic (as opposed to episodic) orientation than the news media. |
| `In' analytical Note | China Quarterly ,No. 257; Mar 2024: p.75 - 99 |
| Journal Source | China Quarterly 2024-03 |
| Key Words | News Media ; Protest ; Social Media ; Weibo ; Text Analysis ; Media Bias ; Machine learning |