Databases of highly networked individuals have been indispensable in studying narratives and influence on social media. To support studies on Twitter in India, we present a systematically categorised database of accounts of influence on Twitter in India, identified and annotated through an iterative process of friends, networks, and self-described profile information, verified manually. We built an initial set of accounts based on the friend network of a seed set of accounts based on real-world renown in various fields, and then snowballed "friends of friends" multiple times, and rank ordered individuals based on the number of in-group connections, and overall followers. We then manually classified identified accounts under the categories of entertainment, sports, business, government, institutions, journalism, civil society accounts that have independent standing outside of social media, as well as a category of "digital first" referring to accounts that derive their primary influence from online activity. Overall, we annotated 11580 unique accounts across all categories. The database is useful studying various questions related to the role of influencers in polarisation, misinformation, extreme speech, political discourse etc.
翻译:高度网络化的个人数据库在研究叙述和对社交媒体的影响方面是不可或缺的。为了支持在印度的Twitter上的研究,我们在印度的Twitter上提供了一个系统分类的、通过朋友、网络和自我描述的简介信息的迭代进程识别和附加说明的印度Twitter影响账户数据库,我们通过手工核查,通过朋友、网络和自我描述的简介信息的迭代过程进行识别和验证。我们根据基于在各个领域以真实世界为名的账户的种子网络建立了一套初始账户。然后是雪球式的“朋友之友”多次和按团体内联系和总体追随者数量排列的个人名次。我们随后将查明的账户手工分类为娱乐、体育、商业、政府、机构、新闻、民间社会账户等类别,以及“数字第一”类账户,指从在线活动中获得主要影响的账户。总体而言,我们为所有类别加注了11580个独特账户。该数据库非常有用地研究与影响者在极分化、错误信息、极端言论、政治言论等方面的作用有关的各种问题。