Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media

1 April 2019

Papers citing "Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media"

8 / 8 papers shown

Title
Target-Aware Contextual Political Bias Detection in News Iffat Maab Edison Marrese-Taylor Yutaka Matsuo 42 3 0 02 Oct 2023
GREENER: Graph Neural Networks for News Media Profiling P. Panayotov Utsav Shukla Husrev Taha Sencar Mohamed Nabeel Preslav Nakov 18 17 0 10 Nov 2022
To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence Caleb Ziems Diyi Yang 45 15 0 11 Sep 2021
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach Barea M. Sinno Bernardo Oviedo Katherine Atwell Malihe Alikhani Junjie Li 16 3 0 28 Jun 2021
We Can Detect Your Bias: Predicting the Political Ideology of News Articles R. Baly Giovanni Da San Martino James R. Glass Preslav Nakov 24 148 0 11 Oct 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 27 68 0 09 May 2020
FacTweet: Profiling Fake News Twitter Accounts Bilal Ghanem Simone Paolo Ponzetto Paolo Rosso GNN 27 19 0 15 Oct 2019
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction S. Vasileva Pepa Atanasova Lluís Màrquez i Villodre Alberto Barrón-Cedeño Preslav Nakov 31 46 0 19 Aug 2019