30 citations · 59 across the 6 of their papers we have counts for
10 papers
Interpretable Propaganda Detection in News Articles
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami +2
Online users today are exposed to misleading and propagandistic news articles and media posts on a daily basis. To counter thus, a number of approaches have been designed aiming to…
Contrastive Language Adaptation for Cross-Lingual Stance Detection
Mitra Mohtarami, James Glass, Preslav Nakov
We study cross-lingual stance detection, which aims to leverage labeled data in one language to identify the relative perspective (or stance) of a given document with respect to a…
Automatic Fact-Checking Using Context and Discourse Information
Pepa Atanasova, Preslav Nakov, Lluís Màrquez +5
We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (i) detecting check-w…
FAKTA: An Automatic End-to-End Fact Checking System
Moin Nadeem, Wei Fang, Brian Xu +2
We present FAKTA which is a unified framework that integrates various components of a fact checking process: document retrieval from media sources with various types of reliability…
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…