2019
DOI: 10.1177/2059436419834124
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Is citizen journalism better than professional journalism for fact-checking rumours in China? How Weibo users verified information following the 2015 Tianjin blasts

Abstract: This article investigates how citizens contribute to rumour verification on social media in China, drawing on a case study of Weibo communication about the 2015 Tianjin blasts. Three aspects of citizen engagement in verifying rumours via Weibo are examined: (1) how they directly debunked rumours related to the blasts, (2) how they verified official rumour messages and (3) how they used Weibo's community verification function to collectively identify and fact-check rumours. The article argues that in carrying o… Show more

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Cited by 41 publications
(35 citation statements)
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“…Scholars pointed out that social issues or security incidents are on the fringe of censorship, as they do not constitute a direct threat to the legitimacy of the ruling party and to the overall social stability (e.g., Su, 2019; Su & Borah, 2019). Moreover, for the purpose herein, the Tianjin Explosion was not treated as the alleged sensitive words at the time (e.g., Zeng, Burgess, & Bruns, 2019; Zeng, Chan, & Fu, 2017). Therefore, the concern of the sampling bias caused by censorship is minimal.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Scholars pointed out that social issues or security incidents are on the fringe of censorship, as they do not constitute a direct threat to the legitimacy of the ruling party and to the overall social stability (e.g., Su, 2019; Su & Borah, 2019). Moreover, for the purpose herein, the Tianjin Explosion was not treated as the alleged sensitive words at the time (e.g., Zeng, Burgess, & Bruns, 2019; Zeng, Chan, & Fu, 2017). Therefore, the concern of the sampling bias caused by censorship is minimal.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Due to geographical social distancing, rumor resolution mainly relied on online rebuttal. Therefore, this study first used Sina Weibo’s application programming interface [ 10 ] to crawl the original tweets containing the keywords “novel coronavirus (新冠)/COVID-19” and “rumor rebuttal (辟谣)” from 10 AM on January 23, 2020, to midnight on April 8, 2020; the posters’ information was also included. Next, we examined the list of retweets and comments of each original tweet to obtain the retweets and comments as well as the corresponding user information.…”
Section: Methodsmentioning
confidence: 99%
“…By the same rule, they categorized the retweeting and commenting users, and intercoder reliability was calculated (retweeting users: κ=0.889; commenting users: κ=0.961). The high number of users who retweeted or commented on and agreed with the rumor rebuttal post served as a sign of effective refutation [ 10 , 64 ].…”
Section: Methodsmentioning
confidence: 99%
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