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Accenture at CheckThat!-2023: Learning to Detect Factuality Levels of News Sources.

, , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 494-499. CEUR-WS.org, (2023)

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Accenture at CheckThat!-2023: Learning to Detect Political Bias of News Articles and Sources., , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 500-506. CEUR-WS.org, (2023)Detection and Discovery of Misinformation Sources using Attributed Webgraphs., , and . CoRR, (2024)Accenture at CheckThat!-2023: Impacts of Back-translation on Subjectivity Detection., , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 507-517. CEUR-WS.org, (2023)Accenture at CheckThat!-2023: Identifying Claims with Societal Impact using NLP Data Augmentation., , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 518-525. CEUR-WS.org, (2023)Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of Claims using Transformer-based Models., , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Improving LDA Topic Modeling with Gamma and Simmelian Filtration., , and . ASONAM, page 692-696. IEEE, (2020)TSPA: Efficient Target-Stance Detection on Twitter., and . ASONAM, page 242-246. IEEE, (2022)Agent-Based Moral Interaction Simulations in Imbalanced Polarized Settings., and . SBP-BRiMS, volume 14161 of Lecture Notes in Computer Science, page 139-148. Springer, (2023)Homophily and Transitivity in Bot Disinformation Networks., , , , , and . SNAMS, page 1-7. IEEE, (2020)Accenture at CheckThat!-2023: Learning to Detect Factuality Levels of News Sources., , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 494-499. CEUR-WS.org, (2023)