2 citations · 4 across the 4 of their papers we have counts for
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cs.CL2020
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
Ramy Baly, Georgi Karadzhov, Jisun An +5
Predicting the political bias and the factuality of reporting of entire news outlets are critical elements of media profiling, which is an understudied but an increasingly importan…
cs.CL2019★ 2 cited
Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information
Yoan Dinkov, Ahmed Ali, Ivan Koychev +1
We address the problem of predicting the leading political ideology, i.e., left-center-right bias, for YouTube channels of news media. Previous work on the problem has focused excl…
cs.CL2019
Detecting Deception in Political Debates Using Acoustic and Textual Features
Daniel Kopev, Ahmed Ali, Ivan Koychev +1
We present work on deception detection, where, given a spoken claim, we aim to predict its factuality. While previous work in the speech community has relied on recordings from sta…