Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2019
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 8month 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.
Keywords
Facebook, Twitter, Instagram, Reddit, YouTube, Platform strategy, Social media, Social media platforms, Topic distributions, User engagement
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media
Research Areas
Data Science and Engineering
Publication
Proceedings of the 13th International AAAI Conference on Web and Social Media ICWSM 2019: Munich, June 11-14
Volume
13
First Page
47
Last Page
57
Publisher
AAAI Press
City or Country
Palo Alto, CA
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://ojs.aaai.org/index.php/ICWSM/article/view/3208
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons, Social Media Commons