Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena

Details Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena

2009-11-09

arxiv.org/abs/0911.1583v1

Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), 17-21 July 2011, Barcelona, S

Computer Science

Computers and Society

submitted to WWW2010

Scientific paper

Microblogging is a form of online communication by which users broadcast brief text updates, also known as tweets, to the public or a selected circle of contacts. A variegated mosaic of microblogging uses has emerged since the launch of Twitter in 2006: daily chatter, conversation, information sharing, and news commentary, among others. Regardless of their content and intended use, tweets often convey pertinent information about their author's mood status. As such, tweets can be regarded as temporally-authentic microscopic instantiations of public mood state. In this article, we perform a sentiment analysis of all public tweets broadcasted by Twitter users between August 1 and December 20, 2008. For every day in the timeline, we extract six dimensions of mood (tension, depression, anger, vigor, fatigue, confusion) using an extended version of the Profile of Mood States (POMS), a well-established psychometric instrument. We compare our results to fluctuations recorded by stock market and crude oil price indices and major events in media and popular culture, such as the U.S. Presidential Election of November 4, 2008 and Thanksgiving Day. We find that events in the social, political, cultural and economic sphere do have a significant, immediate and highly specific effect on the various dimensions of public mood. We speculate that large scale analyses of mood can provide a solid platform to model collective emotive trends in terms of their predictive value with regards to existing social as well as economic indicators.

Affiliated with

Also associated with

No associations

Rating

Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-659676