aequa-tech/CADE

CADE（取消态度检测）数据集是在研究论文《那是不可接受的：取消的道德基础》背景下创建的。该数据集是一个注释语料库，旨在探索评价社交媒体上取消态度的不同意见的因素。特别是，研究注释者的道德观对其对取消行为的看法的影响，表明道德是解释这种现象分歧的独立轴。注释者的判断严重依赖于争议事件类型和涉及的名人。这表明需要开发以事件为中心的数据集，以更好地理解社交媒体中伤害是如何实施的，并开发更有意识的技术来检测它们。数据集包含多个特征字段，如text_id、target、text等，适用于文本分类任务，与可接受性、立场、内容审查和取消文化等相关主题有关。

The CADE (Canceling Attitudes Detection) dataset is created in the context of the research paper That is Unacceptable: the Moral Foundations of Canceling. This dataset is an annotated corpus aimed at exploring the factors of disagreements in evaluating canceling attitudes on social media. Specifically, it examines the impact of annotators morality on their perception of canceling, showing that morality is an independent axis for explaining disagreements on this phenomenon. Annotators judgments heavily depend on the type of controversial events and the celebrities involved. This indicates 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. The dataset includes various feature fields such as text_id, target, text, and others related to the annotation of canceling incidents, and it is used for text classification tasks related to topics such as acceptability, stance, content moderation, and cancel culture.