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

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2020

ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection

Fatima Haouari, Maram Hasanain, Reem Suwaileh +1

In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of Ap…

cs.CL20203 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

ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks

Fatima Haouari, Maram Hasanain, Reem Suwaileh +1

In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that spans one year, covering the period from 27th of January 2020 till 31st of January 2021. ArCOV-19 is the…

cs.CL20201 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.IR2017

EveTAR: Building a Large-Scale Multi-Task Test Collection over Arabic Tweets

Maram Hasanain, Reem Suwaileh, Tamer Elsayed +2

This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) task…