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Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets
  Hyperpartisan News Detection

Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection

6 April 2019
Abdelrhman Saleh
R. Baly
Alberto Barrón-Cedeño
Giovanni Da San Martino
Mitra Mohtarami
Preslav Nakov
James R. Glass
ArXiv (abs)PDFHTML

Papers citing "Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection"

8 / 8 papers shown
Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts
Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human ExpertsAnnual 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
Interpretable Propaganda Detection in News Articles
Interpretable Propaganda Detection in News ArticlesRecent Advances in Natural Language Processing (RANLP), 2021
Seunghak Yu
Giovanni Da San Martino
Mitra Mohtarami
James R. Glass
Preslav Nakov
204
33
0
29 Aug 2021
Cross-Domain Learning for Classifying Propaganda in Online Contents
Cross-Domain Learning for Classifying Propaganda in Online ContentsConference for Truth and Trust Online (TTO), 2020
Liqiang Wang
Xiaoyu Shen
Gerard de Melo
Gerhard Weikum
169
16
0
13 Nov 2020
We Can Detect Your Bias: Predicting the Political Ideology of News
  Articles
We Can Detect Your Bias: Predicting the Political Ideology of News ArticlesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
R. Baly
Giovanni Da San Martino
James R. Glass
Preslav Nakov
327
182
0
11 Oct 2020
Can We Spot the "Fake News" Before It Was Even Written?
Can We Spot the "Fake News" Before It Was Even Written?
Preslav Nakov
HILMGNNHAI
141
17
0
10 Aug 2020
Stance Prediction and Claim Verification: An Arabic Perspective
Stance Prediction and Claim Verification: An Arabic Perspective
Jude Khouja
254
75
0
21 May 2020
What Was Written vs. Who Read It: News Media Profiling Using Text
  Analysis and Social Media Context
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
204
83
0
09 May 2020
Hierarchical Reinforcement Learning for Open-Domain Dialog
Hierarchical Reinforcement Learning for Open-Domain DialogAAAI Conference on Artificial Intelligence (AAAI), 2019
Abdelrhman Saleh
Natasha Jaques
Asma Ghandeharioun
J. Shen
Rosalind W. Picard
OffRL
351
60
0
17 Sep 2019
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