Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41265

Modeling Twitter Engagement in Real-World Events

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Item Summary

Title: Modeling Twitter Engagement in Real-World Events
Authors: Hu, Yuheng
Hong, Yili
Keywords: Event Social Media Twitter
Issue Date: 04 Jan 2017
Abstract: Twitter offers tremendous opportunities for people to engage with real-world events (e.g., political election) through information sharing and communicating about these events. However, little is understood about the factors that affect people’s Twitter engagement (e.g., posting) in such real-world events. This paper examines multiple predictive factors associated with four different perspectives of users’ Twitter engagement, and quantify their potential influence on predicting the (i) presence; and (ii) degree of the user’s engagement with real-world events. We find that the measures of people’s prior Twitter activities, topical interests, geolocation, and social network structures are all variously correlated to their engagement with real-world events. \
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41265
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.113
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Text Mining in Big Data Analytics Minitrack



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