Abstract
We introduce the second edition of the CheckThat! Lab, part of the 2019 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes two complementary tasks. Task 1: predict which claims in a political debate should be prioritized for fact-checking. Task 2: rank Web-retrieved pages against a check-worthy claim based on their usefulness for fact-checking, extract useful passages from those pages, and then use them all to decide whether the claim is factually true or false. Checkthat! provides a full evaluation framework, consisting of data in English (derived from fact-checking sources) and Arabic (gathered and annotated from scratch) and evaluation based on mean average precision (MAP) for ranking and F\(_1\) for classification tasks.
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References
Atanasova, P., et al.: Overview of the CLEF-2018 CheckThat! lab on automatic identification and verification of political claims, task 1: check-worthiness. In: CLEF 2018 Working Notes. Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, CEUR Workshop Proceedings, Avignon, France. CEUR-WS.org (2018)
Ba, M.L., Berti-Equille, L., Shah, K., Hammady, H.M.: VERA: a platform for veracity estimation over web data. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 159–162. International World Wide Web Conferences Steering Committee (2016)
Baly, R., Mohtarami, M., Glass, J., Màrquez, L., Moschitti, A., Nakov, P.: Integrating stance detection and fact checking in a unified corpus. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), vol. 2, pp. 21–27 (2018)
Castillo, C., Mendoza, M., Poblete, B.: Information credibility on Twitter. In: Proceedings of the 20th International Conference on World Wide Web, pp. 675–684. ACM (2011)
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 2017 International Conference on Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria (2017)
Hardalov, M., Koychev, I., Nakov, P.: In search of credible news. In: Dichev, C., Agre, G. (eds.) AIMSA 2016. LNCS (LNAI), vol. 9883, pp. 172–180. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-44748-3_17
Hassan, N., Li, C., Tremayne, M.: Detecting check-worthy factual claims in presidential debates. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 1835–1838. ACM (2015)
Karadzhov, G., Gencheva, P., Nakov, P., Koychev, I.: We built a fake news & click-bait filter: what happened next will blow your mind! In: Proceedings of the 2017 International Conference on Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria (2017)
Karadzhov, G., Nakov, P., Màrquez, L., Barrón-Cedeño, A., Koychev, I.: Fully automated fact checking using external sources. In: Proceedings of the 2017 International Conference on Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria (2017)
Ma, J., et al.: Detecting rumors from microblogs with recurrent neural networks. In: Proceedings of IJCAI (2016)
Mukherjee, S., Weikum, G.: Leveraging joint interactions for credibility analysis in news communities. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 353–362. ACM (2015)
Nakov, P., et al.: Overview of the CLEF-2018 CheckThat! lab on automatic identification and verification of political claims. In: Bellot, I., et al. (eds.) CLEF 2018. LNCS, vol. 11018, pp. 372–387. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98932-7_32
Popat, K., Mukherjee, S., Strötgen, J., Weikum, G.: Credibility assessment of textual claims on the web. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 2173–2178. ACM (2016)
Yasser, K., Kutlu, M., Elsayed, T.: Re-ranking web search results for better fact-checking: a preliminary study. In: Proceedings of 27th ACM International Conference on Information and Knowledge Management (CIKM), Turin, Italy, pp. 1783–1786. ACM (2018)
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(3), e0150989 (2016)
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Elsayed, T. et al. (2019). CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science(), vol 11438. Springer, Cham. https://doi.org/10.1007/978-3-030-15719-7_41
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DOI: https://doi.org/10.1007/978-3-030-15719-7_41
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