That is Unacceptable: the Moral Foundations of Canceling
This addresses the issue of ideological polarization and unsafe social media platforms for researchers and platform developers, but it is incremental as it focuses on dataset creation and analysis without proposing new detection methods.
The paper tackles the problem of canceling on social media by creating the CADE dataset to analyze disagreements in evaluating canceling attitudes, finding that annotators' morality independently influences perceptions and judgments vary based on event types and celebrities involved.
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 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.