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Part 1: Document Description
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Citation |
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Title: |
Database of Indian Social Media Influencers on Twitter |
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Identification Number: |
doi:10.7910/DVN/T2CFHO |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-03-23 |
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Version: |
1 |
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Bibliographic Citation: |
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, 2022, "Database of Indian Social Media Influencers on Twitter", https://doi.org/10.7910/DVN/T2CFHO, Harvard Dataverse, V1 |
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Citation |
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Title: |
Database of Indian Social Media Influencers on Twitter |
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Identification Number: |
doi:10.7910/DVN/T2CFHO |
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Authoring Entity: |
Arya, Arshia (Microsoft Research India) |
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De, Soham (Ashoka University) |
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Mishra, Dibyendu (Microsoft Research India) |
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Shekhawat, Gazal (Microsoft Research India) |
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Sharma, Ankur (Microsoft Research India) |
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Panda, Anmol (Microsoft Research India) |
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M Lalani, Faisal (Microsoft Research India) |
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Singh, Parantak (Microsoft Research India) |
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Kommiya Mothilal, Ramaravind (Microsoft Research India) |
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Grover, Rynaa (Microsoft Research India) |
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Nishal, Sachita (Microsoft Research India) |
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Dash, Saloni (Microsoft Research India) |
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Rashid Shora, Shehla (Microsoft Research India) |
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Akbar, Syeda Zainab (Microsoft Research India) |
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Pal, Joyojeet (Microsoft Research India) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
De, Soham |
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Depositor: |
De, Soham |
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Date of Deposit: |
2022-03-23 |
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Holdings Information: |
https://doi.org/10.7910/DVN/T2CFHO |
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Study Scope |
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Keywords: |
Computer and Information Science, Computer and Information Science, Twitter Dataset |
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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 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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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Label: |
influencers.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |