On the relation between message sentiment and its virality on social media

Social Network Analysis and Mining volume 7, Article number: 19 (2017) Cite this article

Abstract

We investigate the relation between the sentiment of a message on social media and its virality, defined as the volume and speed of message diffusion. We analyze 4.1 million messages (tweets) obtained from Twitter. Although factors affecting message diffusion on social media have been studied previously, we focus on message sentiment and reveal how the polarity of message sentiment affects its virality. The virality of a message is characterized by the number of message repostings (retweets) and the time elapsed from the original posting of a message to its Nth reposting (N-retweet time). Through extensive analysis using the 4.1 million tweets and their retweets in 1 week, we discover that negative messages are likely to be reposted more rapidly and frequently than positive and neutral messages. Specifically, the reposting volume of negative messages is 20–60% higher than that of positive and neutral messages, and negative messages spread 25% faster than positive and neutral messages when the diffusion volume is quite high. We also perform longitudinal analysis of message diffusion observed over 1 year and find that recurrent diffusion of negative messages is less frequent than that of positive and neutral messages. Moreover, we present a simple message diffusion model that can reproduce the characteristics of message diffusion observed in this paper.

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Notes

  1. 1.

    We used the Search API in Twitter REST API v1.1 and collected Japanese tweets using the query q=RT, lang=ja.

  2. 2.

    http://taku910.github.io/mecab/

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Acknowledgements

The authors would like to thank Dr. Mitsuo Yoshida of Toyohashi University of Technology for his support to the data collection and Hisayuki Mori of Kwansei Gakuin University for helping the analyses. This work was partly supported by the Telecommunications Advancement Foundation.

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Affiliations

  1. Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8573, Japan

    Sho Tsugawa

  2. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyuki Ohsaki

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  1. Sho Tsugawa
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  2. Hiroyuki Ohsaki
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Correspondence to Sho Tsugawa.

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Tsugawa, S., Ohsaki, H. On the relation between message sentiment and its virality on social media. Soc. Netw. Anal. Min. 7, 19 (2017). https://doi.org/10.1007/s13278-017-0439-0

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Keywords

  • Social media
  • Twitter
  • Information diffusion
  • Retweet
  • Sentiment