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Open Access

Negative Sentiment Shift on a Chinese Movie-Rating Website

Social Sciences Division, University of Chicago, Chicago, IL 60637, USA
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Abstract

Shifting to negativity is more and more prevalent in online communities and may play a key role in group polarization. While current research indicates a close relationship between group polarization and negative sentiment, they often link negative sentiment shifts with echo chambers and misinformation within echo chambers. In this work, we explore the sentiment drift using over 4 million comments from a Chinese online movie-rating community that is less affected by misinformation than other mainstream online communities and has no echo chamber structures. We measure the sentiment shift of the community and users of different engagement levels. Our analysis reveals that while the community does not show a tendency toward negativity, users of higher engagement levels are generally more negative, considering factors like the different movies they consume. The results indicate a fitting-in process, suggesting the possible mechanism of group identity on sentiment shift on social media platforms. These findings also provide guidance on web design to tackle the negativity issue and expand sentiment shift analysis to non-English contexts.

Keywords

sentiment analysiscomputational social scienceonline communitygroup polarizationuser engagementnegative sentiment

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Journal of Social Computing
Volume 4 Issue 2,
June 2023
Pages 168-180
DOI: 10.23919/JSC.2023.0014
Cite this article:
Mao H. Negative Sentiment Shift on a Chinese Movie-Rating Website. Journal of Social Computing, 2023, 4(2): 168-180. https://doi.org/10.23919/JSC.2023.0014

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Received: 21 February 2023
Revised: 06 June 2023
Accepted: 22 July 2023
Published: 30 June 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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