That is Unacceptable: the Moral Foundations of Canceling

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 disagreements 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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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.330
Primary Topic
Corporate Governance and Law
Type
article
Field-Weighted Citation Impact
0.00

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article

That is Unacceptable: the Moral Foundations of Canceling

Rajesh Sharma, Marco Antonio Stranisci, Siu Hing Lo, Óscar Araque
Corporate Governance and Law
article

That is Unacceptable: the Moral Foundations of Canceling

Rajesh Sharma, Marco Antonio Stranisci, Siu Hing Lo, Óscar Araque
article en

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 disagreements 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.

Comunidad de Madrid, European Commission, Universidad Politécnica de Madrid, Agencia Estatal de Investigación
Openalex Percentile: Top 71%
Corporate Governance and Law
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