Estimating community feedback effect on topic choice in social media with predictive modeling

Estimating community feedback effect on topic choice in social media with predictive modeling

Abstract Social media users post content on various topics. A defining feature of social media is that other users can provide feedback—called community feedback—to their content in the form of comments, replies, and retweets. We hypothesize that the amount of received feedback influences the choice...

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Bibliographic Details
Main Authors: David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:EPJ Data Science
Subjects:
Social feedback
Social influence
User behavior modeling
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-020-00243-w

Internet

http://link.springer.com/article/10.1140/epjds/s13688-020-00243-w

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