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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

Internet

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

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