Litcius/Paper detail

Emotion Dynamics of Public Opinions on Twitter

Debashis Naskar, Sanasam Ranbir Singh, Durgesh Kumar, Sukumar Nandi, Eva Onaindía

2020ACM Transactions on Information Systems40 citationsDOIOpen Access PDF

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.

Topics & Concepts

Dynamics (music)Social mediaPublic opinionComputer scienceSentiment analysisSocial network (sociolinguistics)Viral marketingInternet privacyWorld Wide WebPoliticsPsychologyPolitical scienceArtificial intelligencePedagogyLawOpinion Dynamics and Social InfluenceComplex Network Analysis TechniquesSentiment Analysis and Opinion Mining