Why Are You More Engaged? Predicting Social Engagement from Word Use
arXiv (Cornell University)Published 26 February 2014Open access
Jalal Mahmud, Jilin Chen, Jeffrey Nichols
Citations13
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TL;DR
A study to analyze how word use can predict social engagement behaviors such as replies and retweets in Twitter, and compute psycholinguistic category scores from word usage, and investigates how people with different scores exhibited different reply and retweet behaviors on Twitter.
Abstract
We present a study to analyze how word use can predict social engagement behaviors such as replies and retweets in Twitter. We compute psycholinguistic category scores from word usage, and investigate how people with different scores exhibited different reply and retweet behaviors on Twitter. We also found psycholinguistic categories that show significant correlations with such social engagement behaviors. In addition, we have built predictive models of replies and retweets from such psycholinguistic category based features. Our experiments using a real world dataset collected from Twitter validates that such predictions can be done with reasonable accuracy.
Keywords
Computer Science
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