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1809.03485
Cited By
Multi-view Models for Political Ideology Detection of News Articles
10 September 2018
Vivek Kulkarni
Junting Ye
Steven Skiena
William Yang Wang
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Papers citing
"Multi-view Models for Political Ideology Detection of News Articles"
39 / 39 papers shown
Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Zain Muhammad Mujahid
Dilshod Azizov
Maha Tufail Agro
Preslav Nakov
218
2
0
14 Jun 2025
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Yiqun Sun
Qiang Huang
Anthony K. H. Tung
Jun Yu
217
2
0
30 May 2025
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles
Filip Trhlik
Pontus Stenetorp
375
12
0
16 Jun 2024
Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection
Songtao Liu
Bang-wei Wang
Wei Xiang
Han Xu
Minghua Xu
190
5
0
29 May 2024
A Novel BERT-based Classifier to Detect Political Leaning of YouTube Videos based on their Titles
Nouar Aldahoul
Talal Rahwan
Yasir Zaki
156
7
0
16 Feb 2024
Modeling Political Orientation of Social Media Posts: An Extended Analysis
Sadia Kamal
Brenner Little
Jade Gullic
Trevor Harms
Kristin Olofsson
A. Bagavathi
257
2
0
21 Nov 2023
A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online Newspapers
Beomjune Kim
Eunsun Lee
Dongbin Na
185
1
0
03 Nov 2023
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yujian Liu
Xinliang Frederick Zhang
Kaijian Zou
Ruihong Huang
Nick Beauchamp
Lu Wang
300
6
0
28 Oct 2023
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Cristina España-Bonet
193
13
0
25 Oct 2023
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting
Chenkai Sun
Jinning Li
Yi R. Fung
Hou Pong Chan
Tarek Abdelzaher
Chengxiang Zhai
Heng Ji
386
18
0
20 Oct 2023
Target-Aware Contextual Political Bias Detection in News
International Joint Conference on Natural Language Processing (IJCNLP), 2023
Iffat Maab
Edison Marrese-Taylor
Yutaka Matsuo
248
6
0
02 Oct 2023
Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing
Gisela Vallejo
Timothy Baldwin
Lea Frermann
292
8
0
14 Sep 2023
Learning Unbiased News Article Representations: A Knowledge-Infused Approach
International Conference on Machine Learning and Applications (ICMLA), 2023
Sadia Kamal
Jimmy Hartford
Jeremy Willis
A. Bagavathi
212
1
0
12 Sep 2023
Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start
Sihao Chen
William F. Bruno
Dan Roth
182
2
0
06 Apr 2023
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jiwoo Hong
Yejin Cho
Jaemin Jung
Jiyoung Han
James Thorne
280
11
0
05 Apr 2023
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
International Conference on Machine Learning (ICML), 2022
Valentin Hofmann
J. Pierrehumbert
Hinrich Schütze
339
1
0
14 Dec 2022
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Changyuan Qiu
Winston Wu
Xinliang Frederick Zhang
Lu Wang
192
1
0
04 Nov 2022
Top Gear or Black Mirror: Inferring Political Leaning From Non-Political Content
A. Kurnaz
Scott A. Hale
109
0
0
11 Aug 2022
Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data
M. Makhortykh
E. D. León
Aleksandra Urman
C. Christner
Maryna Sydorova
S. Adam
Michael Maier
T. Gil-López
174
6
0
01 Jul 2022
Text and author-level political inference using heterogeneous knowledge representations
S. C. D. Silva
Ivandré Paraboni
248
0
0
24 Jun 2022
Modeling Multi-level Context for Informational Bias Detection by Contrastive Learning and Sentential Graph Network
Shi-Qiu Guo
Kenny Q. Zhu
158
10
0
25 Jan 2022
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
Prasad K. Hajare
Sadia Kamal
S. Krishnan
A. Bagavathi
269
5
0
18 Sep 2021
Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
Barea M. Sinno
Bernardo Oviedo
Katherine Atwell
Malihe Alikhani
Junjie Li
160
3
0
28 Jun 2021
Analyzing Online Political Advertisements
Findings (Findings), 2021
Danae Sánchez Villegas
S. Mokaram
Nikolaos Aletras
273
12
0
09 May 2021
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
Valentin Hofmann
Xiaowen Dong
J. Pierrehumbert
Hinrich Schütze
364
18
0
18 Apr 2021
Understanding Politics via Contextualized Discourse Processing
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Rajkumar Pujari
Dan Goldwasser
316
21
0
31 Dec 2020
Author's Sentiment Prediction
International Conference on Computational Linguistics (COLING), 2020
Mohaddeseh Bastan
Mahnaz Koupaee
Youngseo Son
Richard Sicoli
Niranjan Balasubramanian
207
27
0
12 Nov 2020
Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
Wei-Fan Chen
Khalid Al Khatib
Henning Wachsmuth
Benno Stein
196
63
0
20 Oct 2020
Detecting Media Bias in News Articles using Gaussian Bias Distributions
Findings (Findings), 2020
Wei-Fan Chen
Khalid Al Khatib
Benno Stein
Henning Wachsmuth
140
48
0
20 Oct 2020
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
R. Baly
Giovanni Da San Martino
James R. Glass
Preslav Nakov
327
184
0
11 Oct 2020
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen
Kazunari Sugiyama
Preslav Nakov
Min-Yen Kan
GNN
FedML
280
325
0
18 Aug 2020
Can We Spot the "Fake News" Before It Was Even Written?
Preslav Nakov
HILM
GNN
HAI
141
17
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
207
83
0
09 May 2020
Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information
Interspeech (Interspeech), 2019
Yoan Dinkov
Ahmed Ali
Ivan Koychev
Preslav Nakov
158
32
0
20 Oct 2019
Detecting Toxicity in News Articles: Application to Bulgarian
Recent Advances in Natural Language Processing (RANLP), 2019
Yoan Dinkov
Ivan Koychev
Preslav Nakov
204
15
0
26 Aug 2019
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction
Recent Advances in Natural Language Processing (RANLP), 2019
S. Vasileva
Pepa Atanasova
Lluís Màrquez i Villodre
Alberto Barrón-Cedeño
Preslav Nakov
287
48
0
19 Aug 2019
DpgMedia2019: A Dutch News Dataset for Partisanship Detection
Chia-Lun Yeh
B. Loni
Marielle Hendriks
Henrike Reinhardt
Anne Schuth
131
4
0
06 Aug 2019
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection
Abdelrhman Saleh
R. Baly
Alberto Barrón-Cedeño
Giovanni Da San Martino
Mitra Mohtarami
Preslav Nakov
James R. Glass
173
18
0
06 Apr 2019
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media
R. Baly
Georgi Karadzhov
Abdelrhman Saleh
James R. Glass
Preslav Nakov
197
80
0
01 Apr 2019
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