Different events and their reception in different readers communities may give rise to controversy. This work proposes an entropy-based model based on the distant supervision approach to predict news controversy using Facebook reactions as a proxy.
Cross-validation and cross-source experiments have proven the validity of the approach. Furthermore, we also present an automatically generated corpus for controversy prediction in Italian.
We release (here) an accompanying jupyter notebook containing all the code needed to reproduce the results.
Send us an email to get the corpus.
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