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

Author:

Tsugawa ShoORCID,Ohsaki Hiroyuki

Funder

Telecommunications Advancement Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference37 articles.

1. Agarwal A, Xie B, Vovsha I, Rambow O, Passonneau R (2011) Sentiment analysis of Twitter data. In: Proceedings of the workshop on languages in social media (LSM’11), pp 30–38

2. Bakshy E, Hofman JM, Mason WA, Watts DJ (2011) Everyone’s an influencer: quantifying influence on Twitter. In: Proceedings of the 4th ACM international conference on web search and data mining (WSDM’11), pp 65–74

3. Bakshy E, Rosenn I, Marlow C, Adamic L (2012) The role of social networks in information diffusion. In: Proceedings of the 21st international conference on world wide web (WWW’12), pp 519–528

4. Barbosa L, Feng J (2010) Robust sentiment detection on Twitter from biased and noisy data. In: Proceedings of the 23rd international conference on computational linguistics (COLING’10), pp 36–44

5. Baumeister RF, Bratslavsky E (2001) Bad is stronger than good. Rev Gen Psychol 5(4):323–370

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