@inproceedings{arya2022dismiss,
author = {Arya, Arshia and De, Soham and Mishra, Dibyendu and Shekhawat, Gazal and Sharma, Ankur and Panda, Anmol and Lalani, Faisal and Singh, Parantak and Mothilal, Ramaravind Kommiya and Grover, Rynaa and Nishal, Sachita and Dash, Saloni and Shora, Shehla and Akbar, Syeda Zainab and Pal, Joyojeet},
title = {DISMISS: Database of Indian Social Media Influencers on Twitter},
booktitle = {International AAAI Conference on Web and Social Media},
year = {2022},
month = {May},
abstract = {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.},
url = {http://approjects.co.za/?big=en-us/research/publication/dismiss-database-of-indian-social-media-influencers-on-twitter/},
}