Maria Castaldo


2021

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Predicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels
Krasimira Bozhanova | Yoan Dinkov | Ivan Koychev | Maria Castaldo | Tommaso Venturini | Preslav Nakov
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)

We propose a novel framework for predicting the factuality of reporting of news media outlets by studying the user attention cycles in their YouTube channels. In particular, we design a rich set of features derived from the temporal evolution of the number of views, likes, dislikes, and comments for a video, which we then aggregate to the channel level. We develop and release a dataset for the task, containing observations of user attention on YouTube channels for 489 news media. Our experiments demonstrate both complementarity and sizable improvements over state-of-the-art textual representations.