Concept
“I Won the Election!”: An Empirical Analysis of Soft Moderation Interventions on Twitter Analysis of RQ2 - engagement analysis
- Hypothesize that users less likely to share and reference tweets with warnings labels because warning labels indicate questionable content
- Obtained tweets with warning labels and tweets without (control) for each of the 115 users that had at least 3 tweets with warning labels
- Engagement is determined by likes, retweets, quotes, and replies and increased with tweets with warning labels, most likely due to Twitter’s prioritizing content through soft moderation
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Updated 2021-05-18
Tags
CSCW (Computer-supported cooperative work)
Computing Sciences
Related
“I Won the Election!”: An Empirical Analysis of Soft Moderation Interventions on Twitter Analysis of RQ1 - warnings labels and users
“I Won the Election!”: An Empirical Analysis of Soft Moderation Interventions on Twitter Analysis of RQ2 - engagement analysis
“I Won the Election!”: An Empirical Analysis of Soft Moderation Interventions on Twitter Analysis of RQ3 - user interaction with tweets containing warning labels