Predicting audience engagement across social media platforms in the news domain

• المؤلفون الرئيسيون: ALDOUS, Kholoud Khalil, AN, Jisun, JANSEN, Bernard J.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2019
• الموضوعات: audience engagement; news outlets; social media; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing; Social Media
• الوصول للمادة أونلاين: 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
• المؤسسة: Singapore Management University

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...