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We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF).
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Nakov, P., Màrquez, L., Moschitti, A., Magdy, W., Mubarak, H., Freihat, A.A., Glass, J., Randeree, B.: SemEval-2016 Task 3: Community question answering. In: Proceedings of the 10th International Workshop on Semantic Evaluation. pp. 525–545. SemEval ’15 (2016)
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Zubiaga, A., Liakata, M., Procter, R., Hoi, G.W.S., Tolmie, P.: Analysing how people orient to and spread rumours in social media by looking at conversational threads. PLoS ONE 11
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Derczynski, L., Bontcheva, K., Liakata, M., Procter, R., Wong Sak Hoi, G., Zubiaga, A.: SemEval-2017 task 8: RumourEval: Determining rumour veracity and support for rumours. In: Proceedings of the 11th International Workshop on Semantic Evaluation. pp. 69–76. SemEval ’17 (2017)
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Gencheva, P., Nakov, P., Màrquez, L., Barrón-Cedeño, A., Koychev, I.: A context-aware approach for detecting worth-checking claims in political debates. In: Proceedings of the International Conference Recent Advances in Natural Language Processing. pp. 267–276. RANLP’17 (2017)
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Hassan, N., Zhang, G., Arslan, F., Caraballo, J., Jimenez, D., Gawsane, S., Hasan, S., Joseph, M., Kulkarni, A., Nayak, A.K., et al.: ClaimBuster: The first-ever end-to-end fact-checking system. Proceedings of the VLDB Endowment 10
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Karadzhov, G., Nakov, P., Màrquez, L., Barrón-Cedeño, A., Koychev, I.: Fully automated fact checking using external sources. In: Proceedings of the International Conference Recent Advances in Natural Language Processing. pp. 344–353. RANLP’ 17 (2017)
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Shu, K., Sliva, A., Wang, S., Tang, J., Liu, H.: Fake news detection on social media: A data mining perspective. SIGKDD Explor. Newsl. 19
2017
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Atanasova, P., Marquez, L., Barrón-Cedeño, A., Elsayed, T., Suwaileh, R., Zaghouani, W., Kyuchukov, S., Da San Martino, G., Nakov, P.: Overview of the CLEF-2018 CheckThat! lab on automatic identification and verification of political claims. Task 1: Check-worthiness. In: Cappellato et al. [ 21 ]
2018
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Barrón-Cedeño, A., Elsayed, T., Suwaileh, R., Marquez, L., Atanasova, P., Zaghouani, W., Kyuchukov, S., Da San Martino, G., Nakov, P.: Overview of the CLEF-2018 CheckThat! lab on automatic identification and verification of political claims. Task 2: Factuality. In: Cappellato et al. [ 21 ]
2018
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Cappellato, L., Ferro, N., Nie, J.Y., Soulier, L. (eds.): Working Notes of CLEF 2018–Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings, CEUR-WS.org (2018)
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Cazalens, S., Lamarre, P., Leblay, J., Manolescu, I., Tannier, X.: A content management perspective on fact-checking. In: Proceedings of the International Conference on World Wide Web. pp. 565–574. WWW ’18 (2018)
2018
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Hanselowski, A., PVS, A., Schiller, B., Caspelherr, F., Chaudhuri, D., Meyer, C.M., Gurevych, I.: A retrospective analysis of the fake news challenge stance-detection task. In: Proceedings of the 27th International Conference on Computational Linguistics. pp. 1859–1874. COLING ’18 (2018)
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Hansen, C., Hansen, C., Simonsen, J., Lioma, C.: The Copenhagen team participation in the check-worthiness task of the competition of automatic identification and verification of claims in political debates of the CLEF-2018 fact checking lab. In: Cappellato et al. [ 21 ]
2018
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Nakov, P., Barrón-Cedeño, A., Elsayed, T., Suwaileh, R., Màrquez, L., Zaghouani, W., Gencheva, P., Kyuchukov, S., Da San Martino, G.: Overview of the CLEF-2018 lab on automatic identification and verification of claims in political debates. In: Working Notes of CLEF 2018 – Conference and Labs of the Evaluation Forum. CLEF ’18 (2018)
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Thorne, J., Vlachos, A., Christodoulopoulos, C., Mittal, A.: FEVER: a large-scale dataset for fact extraction and VERification. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 809–819. NAACL-HLT ’18 (2018)
2018
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Atanasova, P., Nakov, P., Karadzhov, G., Mohtarami, M., Da San Martino, G.: Overview of the CLEF-2019 CheckThat! lab on automatic identification and verification of claims. Task 1: Check-worthiness. In: Cappellato et al. [ 20 ]
2019
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Cappellato, L., Ferro, N., Losada, D., Müller, H. (eds.): Working Notes of CLEF 2019 Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings, CEUR-WS.org (2019)
2019
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Elsayed, T., Nakov, P., Barrón-Cedeño, A., Hasanain, M., Suwaileh, R., Da San Martino, G., Atanasova, P.: CheckThat! at CLEF 2019: Automatic identification and verification of claims. In: Advances in Information Retrieval. pp. 309–315 (2019)
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Elsayed, T., Nakov, P., Barrón-Cedeño, A., Hasanain, M., Suwaileh, R., Da San Martino, G., Atanasova, P.: Overview of the CLEF-2019 CheckThat!: Automatic identification and verification of claims. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction. pp. 301–321. LNCS (2019)
2019
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Gorrell, G., Kochkina, E., Liakata, M., Aker, A., Zubiaga, A., Bontcheva, K., Derczynski, L.: SemEval-2019 task 7: RumourEval, determining rumour veracity and support for rumours. In: Proceedings of the 13th International Workshop on Semantic Evaluation. pp. 845–854. SemEval ’19 (2019)
2019
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Hasanain, M., Suwaileh, R., Elsayed, T., Barrón-Cedeño, A., Nakov, P.: Overview of the CLEF-2019 CheckThat! lab on automatic identification and verification of claims. Task 2: Evidence and factuality. In: Cappellato et al. [ 20 ]
2019
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Mihaylova, T., Karadzhov, G., Atanasova, P., Baly, R., Mohtarami, M., Nakov, P.: SemEval-2019 task 8: Fact checking in community question answering forums. In: Proceedings of the 13th International Workshop on Semantic Evaluation. pp. 860–869. SemEval ’19 (2019)
2019
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Tchechmedjiev, A., Fafalios, P., Boland, K., Gasquet, M., Zloch, M., Zapilko, B., Dietze, S., Todorov, K.: ClaimsKG: A knowledge graph of fact-checked claims. In: Proceedings of the International Semantic Web Conference. pp. 309–324. ISWC ’19, Springer (2019)
2019
Cited alongside, same era.
Vasileva, S., Atanasova, P., Màrquez, L., Barrón-Cedeño, A., Nakov, P.: It takes nine to smell a rat: Neural multi-task learning for check-worthiness prediction. In: Proceedings of the International Conference on Recent Advances in Natural Language Processing. pp. 1229–1239. RANLP ’19 (2019)
2019
Cited alongside, same era.
Alam, F., Shaar, S., Dalvi, F., Sajjad, H., Nikolov, A., Mubarak, H., Da San Martino, G., Abdelali, A., Durrani, N., Darwish, K., Nakov, P.: Fighting the COVID-19 infodemic: Modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society. ArXiv preprint 2005.00033 (2020)
2020
Cited alongside, same era.
Carik, B., Yeniterzi, R.: SU-NLP at CheckThat! 2021: Check-worthiness of Turkish tweets. In: Faggioli et al. [ 33 ]
2021
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Chernyavskiy, A., Ilvovsky, D., Nakov, P.: Aschern at CLEF CheckThat! 2021: Lambda-calculus of fact-checked claims. In: Faggioli et al. [ 33 ]
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Cusmuliuc, C.G., Amarandei, M.A., Pelin, I., Cociorva, V.I., Iftene, A.: UAICS at CheckThat! 2021: Fake news detection. In: Faggioli et al. [ 33 ]
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Dimitrov, D., Ali, B.B., Shaar, S., Alam, F., Silvestri, F., Firooz, H., Nakov, P., Martino, G.D.S.: SemEval-2021 task 6: Detection of persuasion techniques in texts and images. In: Proceedings of the International Workshop on Semantic Evaluation. SemEval ’21 (2021)
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Faggioli, G., Ferro, N., Joly, A., Maistro, M., Piroi, F. (eds.): CLEF 2021 Working Notes. Working Notes of CLEF 2021–Conference and Labs of the Evaluation Forum. CEUR-WS.org (2021)
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Baly, R., Karadzhov, G., An, J., Kwak, H., Dinkov, Y., Ali, A., Glass, J., Nakov, P.: What was written vs. who read it: News media profiling using text analysis and social media context. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 3364–3374. ACL ’20 (2020)
2020
Cited alongside, same era.
Barrón-Cedeño, A., Elsayed, T., Nakov, P., Da San Martino, G., Hasanain, M., Suwaileh, R., Haouari, F., Babulkov, N., Hamdan, B., Nikolov, A., Shaar, S., Ali, Z.: Overview of CheckThat! 2020 — automatic identification and verification of claims in social media. In: Proceedings of the 11th International Conference of the CLEF Association: Experimental IR Meets Multilinguality, Multimodality, and Interaction. pp. 215–236. CLEF ’2020 (2020)
2020
Cited alongside, same era.
Barrón-Cedeño, A., Elsayed, T., Nakov, P., Da San Martino, G., Hasanain, M., Suwaileh, R., Haouari, F., Babulkov, N., Hamdan, B., Nikolov, A., Shaar, S., Sheikh Ali, Z.: Proceedings of the eleventh international conference of the CLEF association: Experimental IR meets multilinguality, multimodality, and interaction. In: Arampatzis, A., Kanoulas, E., Tsikrika, T., Vrochidis, S., Joho, H., Lioma, C., Eickhoff, C., Névéol, A., Cappellato, L., Ferro, N. (eds.) Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media. CLEF ’20, Springer (2020)
2020
Cited alongside, same era.
Bouziane, M., Perrin, H., Cluzeau, A., Mardas, J., Sadeq, A.: Buster.AI at CheckThat! 2020: Insights and recommendations to improve fact-checking. In: Cappellato et al. [ 19 ]
2020
Cited alongside, same era.
Cappellato, L., Eickhoff, C., Ferro, N., Névéol, A. (eds.): CLEF 2020 Working Notes. CEUR Workshop Proceedings, CEUR-WS.org (2020)
2020
Cited alongside, same era.
Cheema, G.S., Hakimov, S., Ewerth, R.: Check_square at CheckThat! 2020: Claim detection in social media via fusion of transformer and syntactic features. In: Cappellato et al. [ 19 ]
2020
Cited alongside, same era.
Da San Martino, G., Barrón-Cedeno, A., Wachsmuth, H., Petrov, R., Nakov, P.: SemEval-2020 task 11: Detection of propaganda techniques in news articles. In: Proceedings of the 14th Workshop on Semantic Evaluation. pp. 1377–1414. SemEval ’20 (2020)
2020
Cited alongside, same era.
Dumani, L., Neumann, P.J., Schenkel, R.: A framework for argument retrieval - ranking argument clusters by frequency and specificity. In: Advances in Information Retrieval - 42nd European Conference on IR Research (ECIR). Lecture Notes in Computer Science, vol. 12035, pp. 431–445. Springer (2020)
2020
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Hasanain, M., Elsayed, T.: bigIR at CheckThat! 2020: Multilingual BERT for ranking Arabic tweets by check-worthiness. In: Cappellato et al. [ 19 ]
2020
Cited alongside, same era.
2021
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Hartl, P., Kruschwitz, U.: University of Regensburg at CheckThat! 2021: Exploring text summarization for fake newsdetection. In: Faggioli et al. [ 33 ]
2021
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Álvaro Huertas-Garcıia, Huertas-Tato, J., Martín, A., Camacho, D.: CIVIC-UPM at CheckThat! 2021: Integration of transformers in misinformation detection and topic classification. In: Faggioli et al. [ 33 ]
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Juan R. Martinez-Rico, J.M.R., Araujo, L.: NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer models. In: Faggioli et al. [ 33 ]
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Kumari, S.: NoFake at CheckThat! 2021: Fake news detection using BERT. In: Faggioli et al. [ 33 ]
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L, H.R., M, A.: NITK_NLP at CLEF CheckThat! 2021: Ensemble transformer model for fake news classification. In: Faggioli et al. [ 33 ]
2021
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Mihaylova, S., Borisova, I., Chemishanov, D., Hadzhitsanev, P., Hardalov, M., Nakov, P.: DIPS at CheckThat! 2021: Verified claim retrieval. In: Faggioli et al. [ 33 ]
2021
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Nakov, P., Corney, D., Hasanain, M., Alam, F., Elsayed, T., Barrón-Cedeño, A., Papotti, P., Shaar, S., Martino, G.D.S.: Automated fact-checking for assisting human fact-checkers. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence. IJCAI ’21 (2021)
2021
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Nakov, P., Martino, G.D.S., Elsayed, T., Barrón-Cedeño, A., Míguez, R., Shaar, S., Alam, F., Haouari, F., Hasanain, M., Babulkov, N., Nikolov, A., Shahi, G.K., Struß, J.M., Mandl, T.: The CLEF-2021 checkthat! lab on detecting check-worthy claims, previously fact-checked claims, and fake news. In: Hiemstra, D., Moens, M., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds.) Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science, vol. 12657, pp. 639–649. Springer (2021). https://doi.org/10.1007/978-3-030-72240-1_75, https://doi.org/10.1007/978-3-030-72240-1˙75
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Pritzkau, A.: NLytics at CheckThat! 2021: Check-worthiness estimation as a regression problem on transformers. In: Faggioli et al. [ 33 ]
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Pritzkau, A.: NLytics at CheckThat! 2021: Multi-class fake news detection of news articles and domain identification with RoBERTa - a baseline model. In: Faggioli et al. [ 33 ]
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Sardar, A.A.M., Salma, S.A., Islam, M.S., Hasan, M.A., Bhuiyan, T.: Team Sigmoid at CheckThat! 2021: Multiclass fake news detection with machine learning. In: Faggioli et al. [ 33 ]
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Sepúlveda-Torres, R., Saquete, E.: GPLSI team at CLEF CheckThat! 2021: Fine-tuning BETO and RoBERTa. In: Faggioli et al. [ 33 ]
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Shaar, S., Haouari, F., Mansour, W., Hasanain, M., Babulkov, N., Alam, F., Da San Martino, G., Elsayed, T., Nakov, P.: Overview of the CLEF-2021 CheckThat! lab task 2 on detect previously fact-checked claims in tweets and political debates. In: Faggioli et al. [ 33 ]
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Shaar, S., Hasanain, M., Hamdan, B., Ali, Z.S., Haouari, F., Nikolov, A., Kutlu, M., Kartal, Y.S., Alam, F., Da San Martino, G., Barrón-Cedeño, A., Míguez, R., Beltrán, J., Elsayed, T., Nakov, P.: Overview of the CLEF-2021 CheckThat! lab task 1 on check-worthiness estimation in tweets and political debates. In: Faggioli et al. [ 33 ]
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Shahi, G.K., Dirkson, A., Majchrzak, T.A.: An exploratory study of COVID-19 misinformation on Twitter. Online social networks and media pp. 100–104 (2021)
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Shahi, G.K., Dirkson, A., Majchrzak, T.A.: Exploring the spread of COVID-19 misinformation on Twitter. arXiv preprint (2021)
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Shahi, G.K., Struß, J.M., Mandl, T.: CT-FAN-21 corpus: A dataset for Fake News Detection (Apr 2021). https://doi.org/10.5281/zenodo.4714517, https://doi.org/10.5281/zenodo.4714517
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Shahi, G.K., Struß, J.M., Mandl, T.: Overview of the CLEF-2021 CheckThat! lab: Task 3 on fake news detection. In: Faggioli et al. [ 33 ]
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Skuczyńska, B., Shaar, S., Spenader, J., Nakov, P.: BeaSku at CheckThat! 2021: Fine–tuning sentence BERT with triplet loss and limited data. In: Faggioli et al. [ 33 ]
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Sohan, S., Rajon, H.S., Khusbu, A., Islam, M.S., Hasan, M.A.: Black Ops at CheckThat! 2021: User profiles analyze of intelligent detection on fake tweets notebook in shared task. In: Faggioli et al. [ 33 ]
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Utsha, R.S., Keya, M., Hasan, M.A., Islam, M.S.: Qword at CheckThat! 2021: An extreme gradient boosting approach for multiclass fake news detection. In: Faggioli et al. [ 33 ]
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Williams, E., Rodrigues, P., Tran, S.: Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation. In: Faggioli et al. [ 33 ]
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Zengin, M.S., Kartal, Y.S., Kutlu, M.: TOBB ETU at CheckThat! 2021: Data engineering for detecting check-worthy claims. In: Faggioli et al. [ 33 ]
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Zhou, X., Wu, B., Fung, P.: Fight for 4230 at CLEF CheckThat! 2021: Domain-specific preprocessing and pretrained model for ranking claims by check-worthiness. In: Faggioli et al. [ 33 ]
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Zuo, C., Karakas, A., Banerjee, R.: A hybrid recognition system for check-worthy claims using heuristics and supervised learning. In: Cappellato et al. [ 21 ]
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