DISMISS: Database of Indian Social Media Influencers on Twitter
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
DISMISS: Database of Indian Social Media Influencers on Twitter
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Identifier |
https://doi.org/10.7910/DVN/BPY2JY
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Creator |
Arya, Arshia
De, Soham Mishra, Dibyendu Shekhawat, Gazal Sharma, Ankur Panda, Anmol M Lalani, Faisal Singh, Parantak Kommiya Mothilal, Ramaravind Grover, Rynaa Nishal, Sachita Dash, Saloni Rashid Shora, Shehla Akbar, Syeda Zainab Pal, Joyojeet |
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Publisher |
Harvard Dataverse
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Description |
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 categorized 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.
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Subject |
Computer and Information Science
Twitter Dataset |
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Contributor |
De, Soham
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