Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information

20 October 2019

Papers citing "Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information"

9 / 9 papers shown

Title
To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence Caleb Ziems Diyi Yang 112 16 0 11 Sep 2021
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets Shraman Pramanick Shivam Sharma Dimitar Dimitrov Md. Shad Akhtar Preslav Nakov Tanmoy Chakraborty 77 131 0 11 Sep 2021
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 T. Venturini Preslav Nakov 41 5 0 27 Aug 2021
A Survey on Multimodal Disinformation Detection Firoj Alam S. Cresci Tanmoy Chakraborty Fabrizio Silvestri Dimiter Dimitrov Giovanni Da San Martino Shaden Shaar Hamed Firooz Preslav Nakov 84 101 0 13 Mar 2021
Understanding YouTube Communities via Subscription-based Channel Embeddings Sam Clark Anna Zaitsev 18 6 0 19 Oct 2020
We Can Detect Your Bias: Predicting the Political Ideology of News Articles R. Baly Giovanni Da San Martino James R. Glass Preslav Nakov 94 155 0 11 Oct 2020
Can We Spot the "Fake News" Before It Was Even Written? Preslav Nakov HILM GNN HAI 49 16 0 10 Aug 2020
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context R. Baly Georgi Karadzhov Jisun An Haewoon Kwak Yoan Dinkov Ahmed Ali James R. Glass Preslav Nakov 73 73 0 09 May 2020
Detecting Toxicity in News Articles: Application to Bulgarian Yoan Dinkov Ivan Koychev Preslav Nakov 44 14 0 26 Aug 2019