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An Investigation of Predictors of Information Diffusion in Social Media: Evidence from Sentiment Mining of Twitter Messages

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Title:An Investigation of Predictors of Information Diffusion in Social Media: Evidence from Sentiment Mining of Twitter Messages
Authors:Salehan, Mohammad
Kim, Dan
Keywords:Text Analytics
emotional valence
information diffusion
sentiment mining
social media
show 1 moretwitter messages
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Date Issued:07 Jan 2020
Abstract:Social media have facilitated information sharing in social networks. Previous research shows that sentiment of text influences its diffusion in social media. Each emotion can be located on a three-dimensional space formed by dimensions of valence (positive–negative), arousal (passive / calm–active / excited), and tension (tense–relaxed). While previous research has investigated the effect of emotional valence on information diffusion in social media, the effect of emotional arousal remains unexplored. This study examines how emotional arousal influences information diffusion in social media using a sentiment mining approach. We propose a research model and test it using data collected from Twitter.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/63837
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.098
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Text Analytics


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