36 citations · 45 across the 6 of their papers we have counts for
10 papers
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
Ramy Baly, Giovanni Da San Martino, James Glass +1
We explore the task of predicting the leading political ideology or bias of news articles. First, we collect and release a large dataset of 34,737 articles that were manually annot…
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…
Tanbih: Get To Know What You Are Reading
Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño +10
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and ge…
ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets
Ramy Baly, Alaa Khaddaj, Hazem Hajj +2
Sentiment analysis is a highly subjective and challenging task. Its complexity further increases when applied to the Arabic language, mainly because of the large variety of dialect…
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
Tsvetomila Mihaylova, Georgi Karadjov, Pepa Atanasova +3
We present SemEval-2019 Task 8 on Fact Checking in Community Question Answering Forums, which features two subtasks. Subtask A is about deciding whether a question asks for factual…
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection
Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño +4
In this paper, we describe our submission to SemEval-2019 Task 4 on Hyperpartisan News Detection. Our system relies on a variety of engineered features originally used to detect pr…