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That is Unacceptable: the Moral Foundations of Canceling

  • 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-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Host publication Subtitle

Volume 1: Long Papers

Original language

English

Pages from-to (Number of pages)

Pages 1-15 (15 pages)

Publication milestones

  • Published - 2025

Publication status

Published - 2025

Volume

1

Book series

  • Book series name: Proceedings of the Annual Meeting of the Association for Computational Linguistics
9798891762510, 9798891762510

Publication IDs

  • ORCID: /0000-0001-9337-7250/work/220441835
  • Scopus: 105021031433

Host publication title

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics

Host 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.

Publication metrics

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.

Related Event

Title

63rd Annual Meeting of the Association for Computational Linguistic

Event type

Conference

Degree of recognition

International event

Date

27/07/2025 - 01/08/2025

Location

ViennaAustria