遇见数据集

COVID-19 Infodemic Twitter dataset

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DataONE2021-01-12 更新2024-06-08 收录
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This repository contains a dataset consisting of tweets annotated with fine-grained labels related to disinformation about COVID-19. The labels answer seven different questions that are of interests to journalists, fact-checkers, social media platforms, policymakers, and society as a whole. There are annotations for Arabic and English. To label the dataset, we prepared comprehensive annotation guidelines (https://arxiv.org/abs/2005.00033), which can help similar tasks in different domains. Moreover, we launched an annotation platform to label tweets, where anyone can contribute and help increase the size of the dataset, which we will be updating here periodically. Please also check Dataset in git repository

本仓库收录了一套数据集,该数据集由标注有细粒度标签的推文构成,标签主题围绕新冠疫情(COVID-19)相关虚假信息展开。这些标签对应七个不同的问题,这些问题是记者、事实核查人员、社交媒体平台、政策制定者乃至全社会共同关注的核心议题。本数据集包含阿拉伯语与英语两种语言的标注数据。为完成该数据集的标注工作,我们编制了详尽的标注指南(https://arxiv.org/abs/2005.00033),该指南可为不同领域的同类任务提供参考。此外,我们还搭建了推文标注平台,任何人士均可参与贡献,助力扩充数据集规模,我们将定期在此更新该数据集。请查阅本Git仓库中的数据集相关内容。

创建时间:
2023-11-19
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