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View, like, comment, post: Analyzing user engagement by topic at 4 levels across 5 social media platforms for 53 news organizations

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We evaluate the effects of the topics of social media posts on audiences across five social media platforms (i.e., Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of user engagement. We collected 3,163,373 social posts from 53 news organizations across five platforms during an 8-month period. We analyzed the differences in news organization platform strategies by focusing on topic variations by organization and the corresponding effect on user engagement at four levels. Findings show that topic distribution varies by platform, although there are some topics that are popular across most platforms. User engagement levels vary both by topics and platforms. Finally, we show that one can predict if an article will be publicly shared to another platform by individuals with precision of approximately 80%. This research has implications for news organizations desiring to increase and to prioritize types of user engagement.

Original languageEnglish
Title of host publicationProceedings of the 13th International AAAI Conference on Web and Social Media, ICWSM 2019
PublisherAssociation for the Advancement of Artificial Intelligence
Pages47-57
Number of pages11
ISBN (Print)9781577358060
Publication statusPublished - 2019
Event13th International AAAI Conference on Web and Social Media, ICWSM 2019 - Munich, Germany
Duration: 11 Jun 201914 Jun 2019

Publication series

NameProceedings of the 13th International Conference on Web and Social Media, ICWSM 2019
Volume13

Conference

Conference13th International AAAI Conference on Web and Social Media, ICWSM 2019
Country/TerritoryGermany
CityMunich
Period11/06/1914/06/19

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