Publication

Predicting Controversial News Using Facebook Reactions

Basile, A., Caselli, T. & Nissim, M., 2017, Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017).

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    Final publisher's version, 101 KB, PDF document

Different events and their re- ception in different reader communities may give rise to controversy. We pro- pose a distant supervised entropy-based model that uses Facebook reactions as proxies for predicting news controversy. We prove the validity of this approach by running within- and across-source exper- iments, where different news sources are conceived to approximately correspond to different reader communities. Contextu- ally, we also present and share an au- tomatically generated corpus for contro- versy prediction in Italian.
Original languageEnglish
Title of host publicationProceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017)
Publication statusPublished - 2017
EventCLiC-it 2017
: Italian Conference on Computational Linguistics
- Rome, Italy
Duration: 11-Dec-201713-Dec-2017

Conference

ConferenceCLiC-it 2017
CountryItaly
CityRome
Period11/12/201713/12/2017

Event

CLiC-it 2017
: Italian Conference on Computational Linguistics

11/12/201713/12/2017

Rome, Italy

Event: Conference

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