Predicting emotional reaction in social networks.

Clos, J�r�mie; Bandhakavi, Anil; Wiratunga, Nirmalie; Cabanac, Guillaume

doi:10.1007/978-3-319-56608-5_44

Predicting emotional reaction in social networks.

Clos, J�r�mie; Bandhakavi, Anil; Wiratunga, Nirmalie; Cabanac, Guillaume

Authors

J�r�mie Clos

Anil Bandhakavi

Professor Nirmalie Wiratunga n.wiratunga@rgu.ac.uk
Associate Dean for Research

Guillaume Cabanac

Contributors

Joemon M Jose
Editor

Claudia Hauff
Editor

Ismail Sengor Alt?ngovde
Editor

Dawei Song
Editor

Dyaa Albakour
Editor

Stuart Watt
Editor

John Tait
Editor

Abstract

Online content has shifted from static and document-oriented to dynamic 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 Facebook pages of a major news provider. The results of our approach significantly outperform our selected baselines.

Citation

CLOS, J., BANDHAKAVI, A., WIRATUNGA, N. and CABANAC, G. 2017. Predicting emotional reaction in social networks. In Jose, J.M., Hauff, C., Altingovde, I.S., Song, D., Albakour, D., Watt, S. and Tait, J. (eds.) Advances in information retrieval: proceedings of the 39th European conference on information retrieval (ECIR 2017), 8-13 April 2017, Aberdeen, UK. Lecture notes in computer science, 10193. Cham: Springer [online], pages 527-533. Available from: https://doi.org/10.1007/978-3-319-56608-5_44

Presentation Conference Type	Conference Paper (published)
Conference Name	39th European conference on information retrieval (ECIR 2017)
Start Date	Apr 8, 2017
End Date	Apr 13, 2017
Acceptance Date	Apr 8, 2017
Online Publication Date	Apr 8, 2017
Publication Date	Apr 8, 2017
Deposit Date	Apr 12, 2017
Publicly Available Date	Apr 12, 2017
Print ISSN	0302-9743
Electronic ISSN	1611-3349
Publisher	Springer
Peer Reviewed	Peer Reviewed
Pages	527-533
Series Title	Lecture notes in computer science
Series Number	10193
Series ISSN	1611-3349
ISBN	9783319566078
DOI	https://doi.org/10.1007/978-3-319-56608-5_44
Keywords	Social networks ; Emotional analysis ; Emotional triggers ; Sentiment analysis
Public URL	http://hdl.handle.net/10059/2269
Contract Date	Apr 12, 2017