FakeNewsNet

FakeNewsNet is a multi-dimensional data repository that currently contains two datasets with news content, social context, and spatiotemporal information. The dataset is constructed using an end-to-end system, FakeNewsTracker. The constructed FakeNewsNet repository has the potential to boost the study of various open research problems related to fake news study. Because of the Twitter data sharing policy, we only share the news articles and tweet ids as part of this dataset and provide code along with repo to download complete tweet details, social engagements, and social networks. We describe and compare FakeNewsNet with other existing datasets in FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media (https://arxiv.org/abs/1809.01286). A more readable version of the dataset is available at https://github.com/KaiDMML/FakeNewsNet

FakeNewsNet是一款多维度数据仓库，当前收录了两类包含新闻内容、社会上下文（social context）及时空信息（spatiotemporal information）的数据集。该数据集依托端到端系统FakeNewsTracker构建而成。所构建的FakeNewsNet数据仓库，有望推动虚假新闻研究领域各类开放性研究课题的探索。受推特（Twitter）的数据共享政策限制，本数据集仅公开新闻文章与推文ID，并配套提供代码与仓库，以支持用户下载完整的推文详情、社会互动数据及社交网络信息。我们在论文《FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media》（https://arxiv.org/abs/1809.01286）中，对FakeNewsNet与其他现有数据集进行了详细描述与对比分析。该数据集的更易读版本可通过https://github.com/KaiDMML/FakeNewsNet 获取。