Microblog Analysis as a Programme of Work
summary
Argues that Twitter is a distinct social phenomenon requiring a standalone Microblog Analysis programme, motivated by work on the PHEME project about rumor veracity; applies conversation-analytic tools to inspect turn-taking, showing organization via follow/follower turn distribution and no visible overlaps or gaps in the timeline, and demonstrates that a single tweet is not a rumor — rumors unfold through sequential response patterns, a finding that reshapes how veracity classifiers should use contextual sequences rather than isolated tweets.
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chapters (10)
- 0:00Introduction to microblog analysis
- 1:09Project background and focus
- 3:58Twitter as a social phenomenon
- 5:24Why study Twitter's turn-taking
- 6:47Twitter vs. conversation analysis
- 9:42Turn change in Twitter interactions
- 10:45Time gaps and overlaps in Twitter
- 13:55Fragmented interaction in Twitter
- 15:20Rumor propagation on Twitter
- 17:05Q&A on turn-taking systems
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