Why Are You More Engaged? Predicting Social Engagement from Word Use
Social and Information Networks
2014-02-27 v1 Computation and Language
Computers and Society
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
Cite
@article{arxiv.1402.6690,
title = {Why Are You More Engaged? Predicting Social Engagement from Word Use},
author = {Jalal Mahmud and Jilin Chen and Jeffrey Nichols},
journal= {arXiv preprint arXiv:1402.6690},
year = {2014}
}