
This study assesses the scope and applicability of the “protest paradigm” in non-Western contexts by examining the news coverage of Brazilian, Chinese, and Indian protests in their domestic media. Two publications from each nation, one conservative and one progressive, are content analyzed for adherence to a series of marginalization devices that have often been used by the U.S. media to ridicule protest movements and portray them as violent. The Indian media emerge as the least likely to follow the protest paradigm, while Brazilian and Chinese media conform to it in moderate levels. Comparative analysis suggests the historical legitimacy of informal power negotiations in a political culture makes news media more willing to take protesters seriously and limits adherence to the protest paradigm. In contrast, a news organization’s ideological affiliation with the government of the day, rather than any ideology per se, makes it relatively more likely to conform to the protest paradigm. Marginalization devices such as circus, appearance, and eyewitness accounts are rarely used in any of these nations. But disparity of sources, (non)reference to protesters’ causes and violence, and violence blame appear to be abiding features of news coverage of protests everywhere.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 81 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
