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Modeling Twitter Engagement in Real-World Events
|Title:||Modeling Twitter Engagement in Real-World Events|
|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. \|
|Rights:||Attribution-NonCommercial-NoDerivatives 4.0 International|
|Appears in Collections:||Text Mining in Big Data Analytics Minitrack|
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