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Predicting Emotional Reaction in Social Networks

Abstract : Online content has shifted from static and document-oriented to dy- namic and discussion-oriented, leading users to spend an increasing amount of time navigating online discussions in order to participate in their social network. Recent work on emotional contagion in social networks has shown that information is not neutral and affects its receiver. In this work, we present an approach to detect the emotional impact of news, using a dataset extracted from the Face- book pages of a major news provider. The results of our approach significantly outperform our selected baselines.
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https://hal.archives-ouvertes.fr/hal-01809392
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Submitted on : Wednesday, June 6, 2018 - 4:32:40 PM
Last modification on : Monday, August 24, 2020 - 2:24:14 PM
Long-term archiving on: : Friday, September 7, 2018 - 2:13:24 PM

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  • HAL Id : hal-01809392, version 1
  • OATAO : 19030

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Jérémie Clos, Anil Bandhakavi, Nirmalie Wiratunga, Guillaume Cabanac. Predicting Emotional Reaction in Social Networks. 39th European Colloquium on Information Retrieval (ECIR 2017), Apr 2017, Aberdeen, United Kingdom. pp. 527-533. ⟨hal-01809392⟩

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