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Register a new userPredicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels
التنبؤ بالتقويم الإبلاغ عن وسائل الإعلام الإخبارية باستخدام الملاحظات حول انتباه المستخدم في قنوات YouTube الخاصة بهم
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نقترح إطارا جديدا للتنبؤ بالتقدمية الإبلاغ عن وسائل الإعلام الإخبارية من خلال دراسة دورات اهتمام المستخدمين في قنوات YouTube الخاصة بهم.على وجه الخصوص، نقوم بتصميم مجموعة غنية من الميزات المستمدة من التطور الزمني لعدد طرق العرض، الإعجابات، الكراهية، والتعليقات عن مقطع فيديو، والذي نكتبه بعد ذلك إلى مستوى القناة.نقوم بتطوير وتحرير مجموعة بيانات للمهمة، وتحتوي على ملاحظات انتباه المستخدم على قنوات YouTube ل 489 رسالة إخبارية.تثبت تجاربنا على كلا التكاملين وتحسينات كبيرة على تمثيلات نصية من أحدث الأحوال.
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.
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