In the mood for sharing contents: Emotions, personality and interaction styles in the diffusion of news

作者：

Highlights：

• We develop an aligned corpus of Tweets and news articles with gold standard mood.

• We perform correlation analysis of personality, communication style and mood sharing in Twitter.

• We find the best attributes for the prediction of positive and negative mood sharers in Twitter.

• We predict positive and negative mood sharers from personality, communication style and Twitter metadata.

摘要

•We develop an aligned corpus of Tweets and news articles with gold standard mood.•We perform correlation analysis of personality, communication style and mood sharing in Twitter.•We find the best attributes for the prediction of positive and negative mood sharers in Twitter.•We predict positive and negative mood sharers from personality, communication style and Twitter metadata.

论文关键词：Personality,Communication,Mood detection,Social media,Twitter,Contagion

论文评审过程：Received 3 May 2014, Revised 7 July 2015, Accepted 17 August 2015, Available online 3 November 2015, Version of Record 10 December 2015.

论文官网地址：https://doi.org/10.1016/j.ipm.2015.08.002