activity
20162021
most citedFine-Grained Analysis of Propaganda in News Articles

96 citations · 279 across the 19 of their papers we have counts for

collaborators

22 papers

cs.CL2021★ 17 cited

Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims

Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño +4

We present an overview of the second edition of the CheckThat! Lab at CLEF 2019. The lab featured two tasks in two different languages: English and Arabic. Task 1 (English) challen…

cs.CL2021★ 18 cited

Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News

Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed +16

We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to…

cs.CL2020★ 3 cited

A Survey on Computational Propaganda Detection

Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno +3

Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of…

cs.CL2020★ 3 cited

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media

Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov +9

We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured five tasks in two different languages: English and Arabic. The first four tasks com…

cs.CL2020

Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction

Cristina España-Bonet, Alberto Barrón-Cedeño, Lluís Màrquez

We propose an automatic language-independent graph-based method to build à-la-carte article collections on user-defined domains from the Wikipedia. The core model is based on the e…

cs.CL2020★ 1 cited

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov +4

We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related ta…

cs.CL2019★ 2 cited

Proppy: A System to Unmask Propaganda in Online News

Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat +1

We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the im…

cs.CL2019

Global Thread-Level Inference for Comment Classification in Community Question Answering

Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino +4

Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic,…

cs.CL2019

Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection

Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov

We present the shared task on Fine-Grained Propaganda Detection, which was organized as part of the NLP4IF workshop at EMNLP-IJCNLP 2019. There were two subtasks. FLC is a fragment…

cs.CL2019★ 96 cited

Fine-Grained Analysis of Propaganda in News Articles

Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño +2

Propaganda aims at influencing people's mindset with the purpose of advancing a specific agenda. Previous work has addressed propaganda detection at the document level, typically l…

cs.CL2019★ 1 cited

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…

cs.CL2019★ 2 cited

It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction

Slavena Vasileva, Pepa Atanasova, Lluís Màrquez +2

We propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates. Given a political debate, such as the 2016 US Presidential and Vi…

cs.CL2019★ 30 cited

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…

cs.IR2019

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…

cs.CL2018

Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus

Yonatan Belinkov, Alexander Magidow, Alberto Barrón-Cedeño +2

Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties. Therefore, studying t…

cs.CL2018★ 28 cited

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness

Pepa Atanasova, Alberto Barron-Cedeno, Tamer Elsayed +5

We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 1: Check-Worthiness. The task asks to pr…

cs.CL2018

ClaimRank: Detecting Check-Worthy Claims in Arabic and English

Israa Jaradat, Pepa Gencheva, Alberto Barron-Cedeno +2

We present ClaimRank, an online system for detecting check-worthy claims. While originally trained on political debates, the system can work for any kind of text, e.g., interviews…

cs.CL2018

Fact Checking in Community Forums

Tsvetomila Mihaylova, Preslav Nakov, Lluis Marquez +4

Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information. Unfortunately,…

cs.CL2017

Cross-Language Question Re-Ranking

Giovanni Da San Martino, Salvatore Romeo, Alberto Barron-Cedeno +4

We study how to find relevant questions in community forums when the language of the new questions is different from that of the existing questions in the forum. In particular, we…

cs.CL2017★ 5 cited

Fully Automated Fact Checking Using External Sources

Georgi Karadzhov, Preslav Nakov, Lluis Marquez +2

Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from…

cs.CL2017★ 73 cited

An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification

Cristina España-Bonet, Ádám Csaba Varga, Alberto Barrón-Cedeño +1

End-to-end neural machine translation has overtaken statistical machine translation in terms of translation quality for some language pairs, specially those with large amounts of p…

cs.CL2016

Addressing Community Question Answering in English and Arabic

Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo +5

This paper studies the impact of different types of features applied to learning to re-rank questions in community Question Answering. We tested our models on two datasets released…