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Found 7 papers, 1 papers with code
Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions
Further, this misalignment between intentions and perceptions can be linked to the future health of a conversation: when a comment whose author intended to share a fact is misperceived as sharing an opinion, the subsequent conversation is more likely to derail into uncivil behavior than when the comment is perceived as intended.
An Army of Me: Sockpuppets in Online Discussion Communities
Further, pairs of sockpuppets controlled by the same individual are more likely to interact on the same discussion at the same time than pairs of ordinary users.
Do Cascades Recur?
In this paper, we perform a large-scale analysis of cascades on Facebook over significantly longer time scales, and find that a more complex picture emerges, in which many large cascades recur, exhibiting multiple bursts of popularity with periods of quiescence in between.
Antisocial Behavior in Online Discussion Communities
User contributions in the form of posts, comments, and votes are essential to the success of online communities.
How Community Feedback Shapes User Behavior
Interestingly, the authors that receive no feedback are most likely to leave a community.
Can Cascades be Predicted?
On a large sample of photo reshare cascades on Facebook, we find strong performance in predicting whether a cascade will continue to grow in the future.
You had me at hello: How phrasing affects memorability
Understanding the ways in which information achieves widespread public awareness is a research question of significant interest.
