What really matters?: Characterising and predicting user engagement of news postings using multiple platforms, sentiments and topics

• Main Authors: ALDOUS, Kholoud K., AN, Jisun, JANSEN, Bernard J.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: User engagement; cross platforms; news organisation; opical analysis; sentiment analysis; social media; Communication Technology and New Media; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/9853; https://ink.library.smu.edu.sg/context/sis_research/article/10853/viewcontent/What_really_matters_pvoa_nc_nd.pdf
• Institution: Singapore Management University

This research characterises user engagement of approximately 3,000,000 news postings of 53 news outlets and 50,000,000 associated user comments during 8 months on 5 social media platforms (i.e. Facebook, Instagram, Twitter, YouTube, and Reddit). We investigate the effect of sentiments and topics on...