CoVaxLies v1

CoVaxLies v1 包括在 Twitter 上发现的关于 covid-19 疫苗的 17 个已知错误信息目标 (MiTs)。语言专家将推文注释为相关或不相关，然后用对每个 MisT 的立场进一步注释相关推文。该集合是为错误信息检测和错误信息立场识别提供大规模资源的第一步。CoVaxLies v1 comprises 17 known misinformation targets (MiTs) related to COVID-19 vaccines identified on Twitter. Language experts annotated the tweets as either relevant or irrelevant, and further annotated the relevant tweets with their stances toward each MiT. This dataset represents the first step toward providing a large-scale resource for misinformation detection and misinformation stance recognition.

搜集汇总

背景与挑战

背景概述

CoVaxLies v1是一个针对COVID-19疫苗错误信息的Twitter数据集，包含17个错误信息目标，由专家标注了相关性和立场。该数据集由德克萨斯大学达拉斯分校于2021年发布，旨在为错误信息检测和立场识别提供大规模资源。