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Fight Against Misinformation on Social Media: Detecting Attention-Worthy and Harmful Tweets and Verifiable and Check-Worthy Claims

Authors :
Altun, B.
Kutlu, M.
Sonmezer, E.
Arslan, M.B.
Eyuboglu, A.B.
Altun, B.
Kutlu, M.
Sonmezer, E.
Arslan, M.B.
Eyuboglu, A.B.
Publication Year :
2023

Abstract

Proceedings of the 14th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2023 -- 18 September 2023 through 21 September 2023 -- 300519<br />In this paper, we present our participation in CLEF 2022 CheckThat! Lab’s Task 1 on detecting check-worthy and verifiable claims and attention-worthy and harmful tweets. We participated in all subtasks of Task 1 for Arabic, Bulgarian, Dutch, English, and Turkish datasets. We investigate the impact of fine-tuning various transformer models and how to increase training data size using machine translation. We also use feed-forward networks with the Manifold Mixup regularization for the respective tasks. We are ranked first in detecting factual claims in Arabic and harmful tweets in Dutch. In addition, we are ranked second in detecting check-worthy claims in Arabic and Bulgarian. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1426271002
Document Type :
Electronic Resource