Predicting audience engagement across social media platforms in the news domain
We analyze cross-platform factors for posts on both single and multiple social media platforms for numerous news outlets to better predict audience engagement, precisely the number of likes and comments. We collect 676,779 social media posts from 53 news outlets during eight months on four social me...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2019
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6294 https://ink.library.smu.edu.sg/context/sis_research/article/7297/viewcontent/Predicting_Audience_Engagement_Across_Social_Media_Platforms_in_the_News_Domain.pdf |
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| Institution: | Singapore Management University |
| Language: | English |