That is Unacceptable: the Moral Foundations of Canceling
- Soda Marem Lo,
- Oscar Araque,
- Rajesh Sharma,
- University of Torino,
- Aequa-tech,
- Polytechnic University of Madrid,
- University of Tartu,
- Plaksha University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
Volume 1: Long PapersOriginal language
EnglishPages from-to (Number of pages)
Pages 1-15 (15 pages)Publication milestones
- Published - 2025
Publication status
Published - 2025
Volume
1Book series
- Book series name: Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISBN (Print)
9798891762510, 9798891762510Publication IDs
- ORCID: /0000-0001-9337-7250/work/220441835
- Scopus: 105021031433
Host publication title
Proceedings of the 63rd Annual Meeting of the Association for Computational LinguisticsHost publication editors
- Wanxiang Che
- Joyce Nabende
- Ekaterina Shutova
- Mohammad Taher Pilehvar
Abstract
Canceling is a morally-driven phenomenon that hinders the development of safe social media platforms and contributes to ideological polarization. To address this issue we present the Canceling Attitudes Detection (CADE) dataset, an annotated corpus of canceling incidents aimed at exploring the factors of disjavascript:void(0);agreements in evaluating people’s canceling attitudes on social media. Specifically, we study the impact of annotators’ morality in their perception of canceling, showing that morality is an independent axis for the explanation of disagreement on this phenomenon. Annotator’s judgments heavily depend on the type of controversial events and involved celebrities. This shows the need to develop more event-centric datasets to better understand how harms are perpetrated in social media and to develop more aware technologies for their detection.
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Funding Details
Oscar Araque would like to acknowledge the funding of funded by the Spanish Ministry for Economic Affairs and Digital Transformation and by the European Union - NextGenerationEU within the Programme UNICO I+D Cloud (TSI-063100-
2022-0002); as well as the funding of the project CPP2023-010437 financed by the MCIN / AEI / 10.13039/501100011033 / FEDER, UE. This work has been supported by the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement 2023-2026 with Universidad Politécnica de Madrid in the Line A, Emerging PhD researchers (project MORA, DOCTORESEMERGENTES-24-9UMLXZ-37-IIGW). The work of Soda Marem Lo was partially supported by “HARMONIA” project - M4-C2, I1.3 Partenariati Estesi - Cascade Call - FAIR - CUP C63C22000770006 - PE PE0000013 under the NextGenerationEU programme and by aequa-tech.
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Related Event
Title
63rd Annual Meeting of the Association for Computational Linguistic
Event type
ConferenceDegree of recognition
International eventDate
27/07/2025 - 01/08/2025Location
ViennaAustria
