Author: Bozhanova, Krasimira; Dinkov, Yoan; Koychev, Ivan; Castaldo, Maria; Venturini, Tommaso; Nakov, Preslav
Title: Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels Cord-id: m0bc82k5 Document date: 2021_8_27
ID: m0bc82k5
Snippet: 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
Document: 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.
Search related documents:
Co phrase search for related documents- absolute error and additional feature: 1
- absolute error and logistic regression: 1, 2, 3, 4
- absolute error and low quality: 1, 2, 3, 4
- absolute error and mae absolute error: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73
- absolute error and mae absolute error mean: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73
- accuracy improve and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
- accuracy improve and low quality: 1, 2, 3, 4, 5, 6, 7
- accuracy improve and mae absolute error: 1, 2
- accuracy improve and mae absolute error mean: 1, 2
Co phrase search for related documents, hyperlinks ordered by date