标题： DomainDemo：Twitter上不同人口统计群体之间领域共享活动的数据集 显示英文标题

标题： DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter

摘要： 社交媒体在传播网络内容中起着关键作用，尤其是在选举期间，但我们对人口统计因素与在线政治话语之间关系的理解仍然有限。 在此，我们引入了一个独特的数据集DomainDemo，将Twitter（X）上共享的域名与相关用户的口 demographic 特征（包括年龄、性别、种族、政治立场和地理位置）联系起来，时间跨度为2011年至2022年。 这一新资源来源于一个超过150万Twitter用户的样本，并与他们的美国选民注册记录进行匹配，有助于更好地理解十年来在最具影响力的社交媒体平台上信息流动的情况，以及不同社会人口群体中注册美国选民的政治和公共话语趋势。 通过将用户的人口统计信息汇总到域名上，我们得出了五个指标，这些指标提供了对超过129,000个网站的关键见解。 特别是本地化程度和党派受众指标分别量化了域名的地理覆盖范围和意识形态倾向。 这些指标与现有的分类有显著的一致性，表明DomainDemo方法的有效性和可靠性。 显示英文摘要

摘要： Social media play a pivotal role in disseminating web content, particularly during elections, yet our understanding of the association between demographic factors and political discourse online remains limited. Here, we introduce a unique dataset, DomainDemo, linking domains shared on Twitter (X) with the demographic characteristics of associated users, including age, gender, race, political affiliation, and geolocation, from 2011 to 2022. This new resource was derived from a panel of over 1.5 million Twitter users matched against their U.S. voter registration records, facilitating a better understanding of a decade of information flows on one of the most prominent social media platforms and trends in political and public discourse among registered U.S. voters from different sociodemographic groups. By aggregating user demographic information onto the domains, we derive five metrics that provide critical insights into over 129,000 websites. In particular, the localness and partisan audience metrics quantify the domains' geographical reach and ideological orientation, respectively. These metrics show substantial agreement with existing classifications, suggesting the effectiveness and reliability of DomainDemo's approach.