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A defining feature of social media is that other users can provide feedback\u2014called community feedback\u2014to their content in the form of comments, replies, and retweets. We hypothesize that the amount of received feedback influences the choice of topics on which a social media user posts. However, it is challenging to test this hypothesis as user heterogeneity and external confounders complicate measuring the feedback effect. Here, we investigate this hypothesis with a predictive approach based on an interpretable model of an author\u2019s decision to continue the topic of their previous post. We explore the confounding factors, including author\u2019s topic preferences and unobserved external factors such as news and social events, by optimizing the predictive accuracy. This approach enables us to identify which users are susceptible to community feedback. Overall, we find that 33% and 14% of active users in Reddit and Twitter, respectively, are influenced by community feedback. The model suggests that this feedback alters the probability of topic continuation up to 14%, depending on the user and the amount of feedback.<\/jats:p>","DOI":"10.1140\/epjds\/s13688-020-00243-w","type":"journal-article","created":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T09:02:57Z","timestamp":1598864577000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Estimating community feedback effect on topic choice in social media with predictive modeling"],"prefix":"10.1140","volume":"9","author":[{"given":"David Ifeoluwa","family":"Adelani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3935-5701","authenticated-orcid":false,"given":"Ryota","family":"Kobayashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ingmar","family":"Weber","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6043-6928","authenticated-orcid":false,"given":"Przemyslaw A.","family":"Grabowicz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,8,31]]},"reference":[{"issue":"2","key":"243_CR1","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s40429-015-0056-9","volume":"2","author":"CS Andreassen","year":"2015","unstructured":"Andreassen CS (2015) Online social network site addiction: a comprehensive review. 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