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

Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari
2020 arXiv   pre-print
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat!  ...  Finally, the lab offers a fifth task that asks to predict the check-worthiness of the claims made in English political debates and speeches. CheckThat! features a full evaluation framework.  ...  CheckThat! at CLEF 2020 is the third edition of the lab. The 2018 edition [29] of CheckThat!  ... 
arXiv:2001.08546v1 fatcat:plsjwgofczhztp7sv4emojvgza

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

Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari
2020 Lecture Notes in Computer Science  
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat!  ...  Finally, the lab offers a fifth task that asks to predict the check-worthiness of the claims made in English political debates and speeches. CheckThat! features a full evaluation framework.  ...  This research is also part of the Tanbih project, developed by the Qatar Computing Research Institute, HBKU and MIT-CSAIL, which aims to limit the effect of "fake news", propaganda, and media bias.  ... 
doi:10.1007/978-3-030-45442-5_65 fatcat:tzqb2tmzindp5kosk26dl3pbtq

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

Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali
2020 arXiv   pre-print
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.  ...  and automatic claim verification.  ...  This research is also part of the Tanbih project, which aims to limit the effect of disinformation, "fake news", propaganda, and media bias.  ... 
arXiv:2007.07997v1 fatcat:gwrbaqolgbb7tm7vjulx7kji5a

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

Shaden Shaar, Alex Nikolov, Nikolay Babulkov, Firoj Alam, Alberto Barrón-Cedeño, Tamer Elsayed, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Giovanni Da San Martino, Preslav Nakov
2020 Conference and Labs of the Evaluation Forum  
We present an overview of the third edition of the Check-That! Lab at CLEF 2020. The lab featured five tasks in Arabic and English, and here we focus on the three English tasks.  ...  Task 2 asked to retrieve verified claims from a set of previously fact-checked claims, which could help fact-check the claims made in an input tweet.  ...  Acknowledgments This research is part of the Tanbih project, developed by the Qatar Computing Research Institute, HBKU and MIT-CSAIL, which aims to limit the effect of "fake news", propaganda, and media  ... 
dblp:conf/clef/ShaarNBABEHSHMN20 fatcat:ouilyth4czerzg35grm4sm6gjy

EvolutionTeam at CLEF2020 - CheckThat! lab : Integration of Linguistic and Sentimental Features in a Fake News Detection Approach

Ibtissam Touahri, Azzeddine Mazroui
2020 Conference and Labs of the Evaluation Forum  
Afterward, the claim will be verified according to evident sentences. At CLEF2020 -CheckThat!  ...  lab, three tasks run in Arabic, namely check-worthiness on tweets, evidence retrieval, and claim verification that corresponds respectively to task1, task3, and task4.  ...  [3] presented their participation at CheckThat!-2019 lab -Task 2 on Arabic claim verification. They proposed a cross-lingual approach to detect claims factuality.  ... 
dblp:conf/clef/TouahriM20 fatcat:zvia2fognzgebpwbjwcluoxfzu

GPLSI team at CheckThat! 2021: Fine-tuning BETO and RoBERTa

Robiert Sepúlveda-Torres, Estela Saquete
2021 Conference and Labs of the Evaluation Forum  
CheckThat! Lab is a challenging lab aimed at tackling the disinformation problem. The GPLSI team from the University of Alicante (Spain) has participated in two tasks of the CheckThat!  ...  Lab namely, Task 1 (Check-Worthiness Estimation) and Task 3 (Fake News Detection). We attained second and fifth place in the Spanish-version and English-version of Subtask 1A.  ...  Spanish Government through project "Modelang: Modeling the behavior of digital entities by Human Language Technologies" (RTI2018-094653-B-C22), and project "IN-TEGER -Intelligent Text Generation" (RTI2018  ... 
dblp:conf/clef/Sepulveda-Torres21 fatcat:c5kghxah3bbaxizjhawwtyl7du

Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates

Shaden Shaar, Fatima Haouari, Watheq Mansour, Maram Hasanain, Nikolay Babulkov, Firoj Alam, Giovanni Da San Martino, Tamer Elsayed, Preslav Nakov
2021 Conference and Labs of the Evaluation Forum  
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF).  ...  Last but not least, we release to the research community all datasets from the lab as well as the evaluation scripts, which should enable further research in detecting previously fact-checked claims.  ...  This work is part of the Tanbih mega-project, 6 developed at the Qatar Computing Research Institute, HBKU, which aims to limit the impact of "fake news", propaganda, and media bias by making users aware  ... 
dblp:conf/clef/ShaarHMHBAMEN21 fatcat:77ybr2pugvasnk74mx7bma5lra

Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates

Shaden Shaar, Maram Hasanain, Bayan Hamdan, Zien Sheikh Ali, Fatima Haouari, Alex Nikolov, Mücahid Kutlu, Yavuz Selim Kartal, Firoj Alam, Giovanni Da San Martino, Alberto Barrón-Cedeño, Rubén Míguez (+3 others)
2021 Conference and Labs of the Evaluation Forum  
We present an overview of Task 1 of the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF).  ...  We release to the research community all datasets from the lab as well as the evaluation scripts, which should enable further research in check-worthiness estimation for tweets and political debates.  ...  This work is also part of the Tanbih mega-project, 12 developed at the Qatar Computing Research Institute, HBKU, which aims to limit the impact of "fake news", propaganda, and media bias by making users  ... 
dblp:conf/clef/ShaarHHAHNKKAMB21 fatcat:eykpvfd2dba4fo23gydqen5qwm

Can We Spot the "Fake News" Before It Was Even Written? [article]

Preslav Nakov
2020 arXiv   pre-print
Given the recent proliferation of disinformation online, there has been also growing research interest in automatically debunking rumors, false claims, and "fake news."  ...  A number of fact-checking initiatives have been launched so far, both manual and automatic, but the whole enterprise remains in a state of crisis: by the time a claim is finally fact-checked, it could  ...  .: CheckThat! at CLEF 2020: Enabling the automatic identification and verification of claims in social media. In: Proceedings of the 42d European Conference on Information Retrieval. pp. 499-507.  ... 
arXiv:2008.04374v1 fatcat:wuspbs74v5fdbajpjxystx7clu

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification

Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho
2021 Conference and Labs of the Evaluation Forum  
Online Social Networks (OSNs) growth enables and amplifies the quick spread of harmful, manipulative and false information that influence public opinion while sow conflict on social or political issues  ...  The scope of this paper is to present a Natural Language Processing (NLP) approach that uses Doc2Vec and different state-of-the-art transformer-based models for the CLEF2021 Checkthat! lab Task 3.  ...  Relevant parts of this research is a result of the project IBERIFIER -Iberian Digital Media Research and Fact-Checking Hub, funded by the European Commission under the call CEF-TC-2020-2 (European Digital  ... 
dblp:conf/clef/Huertas-GarciaH21 fatcat:gxhhnpqecfacxeog5ieobnkwbu

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images [article]

Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino
2021 arXiv   pre-print
We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and Images: the data, the annotation guidelines, the evaluation setup, the results, and the participating systems.  ...  , i.e., both in the text and in the image.  ...  at CLEF 2020: Enabling the automatic iden- tification and verification of claims in social media.  ... 
arXiv:2105.09284v1 fatcat:2fpwudbkebebvdfa6iry4rsunq

Automated Fact-Checking: A Survey [article]

Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga
2021 arXiv   pre-print
research in the development of different components.  ...  This paper reviews relevant research on automated fact-checking covering both the claim detection and claim validation components.  ...  Acknowledgments This work was supported by the Engineering and Physical Sciences Research Council (grant EP/V048597/1). Xia Zeng is funded by China Scholarship Council (CSC). Amani S.  ... 
arXiv:2109.11427v1 fatcat:6ezha6y5svf4zkq7brodmd3vke

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society [article]

Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani (+5 others)
2021 arXiv   pre-print
of journalists, fact-checkers, social media platforms, policy makers, and society, and (iii) covers Arabic, Bulgarian, Dutch, and English.  ...  Addressing the issue requires solving a number of challenging problems such as identifying messages containing claims, determining their check-worthiness and factuality, and their potential to do harm  ...  This research is part of the Tanbih mega-project, developed at the Qatar Computing Research Institute, HBKU, which aims to limit the impact of "fake news," propaganda, and media bias by making users aware  ... 
arXiv:2005.00033v5 fatcat:pqmx6nl22jay7kvoiuunq4hrp4

DESYR: Definition and Syntactic Representation Based Claim Detection on the Web [article]

Megha Sundriyal, Parantak Singh, Md Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty
2021 arXiv   pre-print
Furthermore, the increase in the usage of online social media has resulted in an explosion of unsolicited information on the web presented as informal text.  ...  The formulation of a claim rests at the core of argument mining.  ...  at CLEF risk: UNESCO. (2020). 2020: Enabling the Automatic Identification and Verification of Claims in Social [25] Maximilian Nickel and Douwe Kiela. 2017.  ... 
arXiv:2108.08759v1 fatcat:bd5shqh7pbgsvncwuo7ohcawze

A Survey on Automated Fact-Checking [article]

Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
2022 arXiv   pre-print
predict the veracity of claims.  ...  Fact-checking has become increasingly important due to the speed with which both information and misinformation can spread in the modern media ecosystem.  ...  The authors would like to thank Rami Aly, Christos Christodoulopoulos, Nedjma Ousidhoum, and James Thorne for useful comments and suggestions.  ... 
arXiv:2108.11896v3 fatcat:zjfyftf4wfdbrjwnahaskrybqm
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