research-article

Emotion Dynamics of Public Opinions on Twitter

Authors:

Debashis Naskar,

Sanasam Ranbir Singh,

Eva Onaindia de la RivaherreraAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 38, Issue 2

Article No.: 18, Pages 1 - 24

https://doi.org/10.1145/3379340

Published: 04 March 2020 Publication History

Abstract

Recently, social media has been considered the fastest medium for information broadcasting and sharing. Considering the wide range of applications such as viral marketing, political campaigns, social advertisement, and so on, influencing characteristics of users or tweets have attracted several researchers. It is observed from various studies that influential messages or users create a high impact on a social ecosystem. In this study, we assume that public opinion on a social issue on Twitter carries a certain degree of emotion, and there is an emotion flow underneath the Twitter network. In this article, we investigate social dynamics of emotion present in users’ opinions and attempt to understand (i) changing characteristics of users’ emotions toward a social issue over time, (ii) influence of public emotions on individuals’ emotions, (iii) cause of changing opinion by social factors, and so on. We study users’ emotion dynamics over a collection of 17.65M tweets with 69.36K users and observe 63% of the users are likely to change their emotional state against the topic into their subsequent tweets. Tweets were coming from the member community shows higher influencing capability than the other community sources. It is also observed that retweets influence users more than hashtags, mentions, and replies.

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Cited By

Zhao QYu CHuang JLian JAn D(2024)Sentiment Analysis Based on Heterogeneous Multi-Relation Signed NetworkMathematics10.3390/math1202033112:2(331)Online publication date: 19-Jan-2024
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Zhang ZWei ZMa L(2024)UBRMTC: User Behavior Recognition Model With Transaction CharacterIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.325722711:2(1589-1601)Online publication date: Apr-2024
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Zhang YWang NYaya Hamadou KSu YGuo XSong W(2024)Multi-level emotion propagation in natural disaster events: diverse leadership of super-spreaders in different levels of hierarchyOnline Information Review10.1108/OIR-03-2024-0192Online publication date: 6-Aug-2024
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Index Terms

Emotion Dynamics of Public Opinions on Twitter
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Sentiment analysis
2. Networks
  1. Network properties
    1. Network dynamics
  2. Network types
    1. Overlay and other logical network structures
      1. Social media networks

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Published In

cover image ACM Transactions on Information Systems

ACM Transactions on Information Systems Volume 38, Issue 2

April 2020

266 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/3379433

Editor:
Maarten de Rijke
University of Amsterdam, The Netherlands

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Copyright © 2020 ACM.

© 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 March 2020

Accepted: 01 January 2020

Revised: 01 November 2019

Received: 01 June 2019

Published in TOIS Volume 38, Issue 2

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Cited By

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https://doi.org/10.3390/math12020331
Zhang ZWei ZMa L(2024)UBRMTC: User Behavior Recognition Model With Transaction CharacterIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.325722711:2(1589-1601)Online publication date: Apr-2024
https://doi.org/10.1109/TCSS.2023.3257227
Zhang YWang NYaya Hamadou KSu YGuo XSong W(2024)Multi-level emotion propagation in natural disaster events: diverse leadership of super-spreaders in different levels of hierarchyOnline Information Review10.1108/OIR-03-2024-0192Online publication date: 6-Aug-2024
https://doi.org/10.1108/OIR-03-2024-0192
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