In this paper, we address the issue of how different personalities interact in Twitter. In particular we study users' interactions using one trait of the standard model known as the ``Big Five'': emotional stability. We collected a corpus of about 200000 Twitter posts and we annotated it with an unsupervised personality recognition system. This system exploits linguistic features, such as punctuation and emoticons, and statistical features, such as followers count and retweeted posts. We tested the system on a dataset annotated with personality models produced from human judgements. Network analysis shows that neurotic users post more than secure ones and have the tendency to build longer chains of interacting users. Secure users instead have more mutual connections and simpler networks.

The role of emotional stability in twitter conversations

Celli, Fabio;
2012-01-01

Abstract

In this paper, we address the issue of how different personalities interact in Twitter. In particular we study users' interactions using one trait of the standard model known as the ``Big Five'': emotional stability. We collected a corpus of about 200000 Twitter posts and we annotated it with an unsupervised personality recognition system. This system exploits linguistic features, such as punctuation and emoticons, and statistical features, such as followers count and retweeted posts. We tested the system on a dataset annotated with personality models produced from human judgements. Network analysis shows that neurotic users post more than secure ones and have the tendency to build longer chains of interacting users. Secure users instead have more mutual connections and simpler networks.
2012
Proceedings of workshop on semantic analysis in social media, in conjunction with EACL 2012
Avignon
Association for Computational Linguistics
Celli, Fabio; L., Rossi
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/91451
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact