We describe the sixth edition of the CheckThat! lab, part of the 2023 Conference and Labs of the Evaluation Forum (CLEF). The five previous editions of CheckThat! focused on the main tasks of the information verification pipeline: check-worthiness, verifying whether a claim was fact-checked before, supporting evidence retrieval, and claim verification. In this sixth edition, we zoom into some new problems and for the first time we offer five tasks in seven languages: Arabic, Dutch, English, German, Italian, Spanish, and Turkish. Task 1 asks to determine whether an item —text or text plus image— is check-worthy. Task 2 aims to predict whether a sentence from a news article is subjective or not. Task 3 asks to assess the political bias of the news at the article and at the media outlet level. Task 4 focuses on the factuality of reporting of news media. Finally, Task 5 looks at identifying authorities in Twitter that could help verify a given target claim. For a second year, CheckThat! was the most popular lab at CLEF-2023 in terms of team registrations: 127 teams. About one-third of them (a total of 37) actually participated.

Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source / Barrón-Cedeño, Alberto; Alam, Firoj; Galassi, Andrea; Da San Martino, Giovanni; Nakov, Preslav; Elsayed, Tamer; Azizov, Dilshod; Caselli, Tommaso; Cheema, Gullal S.; Haouari, Fatima; Hasanain, Maram; Kutlu, Mucahid; Li, Chengkai; Ruggeri, Federico; Struß, Julia Maria; Zaghouani, Wajdi. - ELETTRONICO. - 14163:(2023), pp. 251-275. (Intervento presentato al convegno International Conference of the Cross-Language Evaluation Forum for European Languages tenutosi a Salonicco, Grecia nel 18-21 Settembre 2023) [10.1007/978-3-031-42448-9_20].

Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source

Barrón-Cedeño, Alberto
;
Galassi, Andrea;Da San Martino, Giovanni;Caselli, Tommaso;Ruggeri, Federico;
2023

Abstract

We describe the sixth edition of the CheckThat! lab, part of the 2023 Conference and Labs of the Evaluation Forum (CLEF). The five previous editions of CheckThat! focused on the main tasks of the information verification pipeline: check-worthiness, verifying whether a claim was fact-checked before, supporting evidence retrieval, and claim verification. In this sixth edition, we zoom into some new problems and for the first time we offer five tasks in seven languages: Arabic, Dutch, English, German, Italian, Spanish, and Turkish. Task 1 asks to determine whether an item —text or text plus image— is check-worthy. Task 2 aims to predict whether a sentence from a news article is subjective or not. Task 3 asks to assess the political bias of the news at the article and at the media outlet level. Task 4 focuses on the factuality of reporting of news media. Finally, Task 5 looks at identifying authorities in Twitter that could help verify a given target claim. For a second year, CheckThat! was the most popular lab at CLEF-2023 in terms of team registrations: 127 teams. About one-third of them (a total of 37) actually participated.
2023
Experimental IR Meets Multilinguality, Multimodality, and Interaction
251
275
Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source / Barrón-Cedeño, Alberto; Alam, Firoj; Galassi, Andrea; Da San Martino, Giovanni; Nakov, Preslav; Elsayed, Tamer; Azizov, Dilshod; Caselli, Tommaso; Cheema, Gullal S.; Haouari, Fatima; Hasanain, Maram; Kutlu, Mucahid; Li, Chengkai; Ruggeri, Federico; Struß, Julia Maria; Zaghouani, Wajdi. - ELETTRONICO. - 14163:(2023), pp. 251-275. (Intervento presentato al convegno International Conference of the Cross-Language Evaluation Forum for European Languages tenutosi a Salonicco, Grecia nel 18-21 Settembre 2023) [10.1007/978-3-031-42448-9_20].
Barrón-Cedeño, Alberto; Alam, Firoj; Galassi, Andrea; Da San Martino, Giovanni; Nakov, Preslav; Elsayed, Tamer; Azizov, Dilshod; Caselli, Tommaso; Cheema, Gullal S.; Haouari, Fatima; Hasanain, Maram; Kutlu, Mucahid; Li, Chengkai; Ruggeri, Federico; Struß, Julia Maria; Zaghouani, Wajdi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/941314
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