Many governments impose traditional censorship methods on social media platforms. Instead of removing it completely, many social media companies, including Twitter, only withhold the content from the requesting country. This makes such content still accessible outside of the censored region, allowing for an excellent setting in which to study government censorship on social media. We mine such content using the Internet Archive's Twitter Stream Grab. We release a dataset of 583,437 tweets by 155,715 users that were censored between 2012-2020 July. We also release 4,301 accounts that were censored in their entirety. Additionally, we release a set of 22,083,759 supplemental tweets made up of all tweets by users with at least one censored tweet as well as instances of other users retweeting the censored user. We provide an exploratory analysis of this dataset. Our dataset will not only aid in the study of government censorship but will also aid in studying hate speech detection and the effect of censorship on social media users. The dataset is publicly available at https://doi.org/10.5281/zenodo.4439509
翻译:许多政府在社交媒体平台上推行传统审查方法。许多社交媒体公司,包括Twitter,没有完全取消这些审查方法,而只保留了请求国提供的内容。这使得此类内容在被审查区域之外仍然可以访问,这为研究政府对社交媒体的检查提供了良好的环境。我们利用互联网档案的Twitter流将此类内容埋设地雷;我们发布了2012-2020年7月被审查的155 715个用户的583 437个推特数据集;我们还发布了4 301个被审查的账户。此外,我们发布了一套22 083 759个补充推特,由至少一个被审查的推特用户以及重新使用被审查用户的其他用户提供。我们对这一数据集进行了探索性分析。我们的数据集不仅有助于政府审查研究,还将帮助研究仇恨言论的检测和社会媒体用户审查的影响。这些数据集公布在https://doi.org/10.5281/zenodo.449509。