Anmol Panda
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Anmol Panda has a total of 19 co-authors. Here are the top co-authors by number of shared publications:
- Joyojeet Pal
University of Michigan, Ann Arbor, Michigan, USA
2 shared publications - Ankur Sharma1 shared publication
- Arshia Arya
University of California, San Diego, San Diego, CA, USA
1 shared publication - Ashwin Rajadesingan
University of Texas at Austin, Austin, Texas, USA
1 shared publication Dibyendu Mishra
1 shared publication- Faisal M. Lalani
Collective Intelligence Project, New York, New York, USA
1 shared publication
Latest Publications
- Open Access
Database of Indian Social Media Influencers on Twitter
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.
Open AccessDatabase of Indian Social Media Influencers on Twitter
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.
- 16 July 2021
- Published by Springer Nature
- p. 1-10
Minimizing Energy Through Task Allocation Using Rao-2 Algorithm in Fog Assisted Cloud Environment
- 16 July 2021
- Published by Springer Nature
- p. 1-10
Minimizing Energy Through Task Allocation Using Rao-2 Algorithm in Fog Assisted Cloud Environment
- Open Access
- 22 July 2020
- Published by Association for Computing Machinery (ACM)
- p. 174-183
Leader or Party? Personalization in Twitter Political Campaigns during the 2019 Indian Elections
Personality-centric politics has been a significant part of discussions on social media’s impact on electoral politics. In this study, we quantified personalization in mainstream politics by studying the extent to which parliamentary candidates referred to the key leader of their party as opposed to the party itself in their Twitter political campaigns. We found that the candidates of the incumbent right-wing Hindu nationalist party, the BJP, led by a popular and widely approved leader, Narendra Modi, were significantly more likely to run a leader-centric campaign than the candidates of the main opposition party, the INC. Smaller, state and regionalist parties showed mixed results - while candidates of some parties centralized their discourse significantly in their key leaders, in other parties’ campaigns, the party was more prominent than its leader in candidate campaigns. We also found that BJP candidates, rather than uniformly running campaigns coat tailing on their hugely popular leader, were strategic in the extent to which they ran Modi centric campaigns. For BJP candidates, their followers count, the type of constituency and Modi’s own approval rating in the region were closely associated with running Modi-centric campaigns. We found no discernible patterns in how INC candidates personalized their social media campaigns.
- 22 July 2020
- Published by Association for Computing Machinery (ACM)
- p. 174-183
Open AccessLeader or Party? Personalization in Twitter Political Campaigns during the 2019 Indian Elections
Personality-centric politics has been a significant part of discussions on social media’s impact on electoral politics. In this study, we quantified personalization in mainstream politics by studying the extent to which parliamentary candidates referred to the key leader of their party as opposed to the party itself in their Twitter political campaigns. We found that the candidates of the incumbent right-wing Hindu nationalist party, the BJP, led by a popular and widely approved leader, Narendra Modi, were significantly more likely to run a leader-centric campaign than the candidates of the main opposition party, the INC. Smaller, state and regionalist parties showed mixed results - while candidates of some parties centralized their discourse significantly in their key leaders, in other parties’ campaigns, the party was more prominent than its leader in candidate campaigns. We also found that BJP candidates, rather than uniformly running campaigns coat tailing on their hugely popular leader, were strategic in the extent to which they ran Modi centric campaigns. For BJP candidates, their followers count, the type of constituency and Modi’s own approval rating in the region were closely associated with running Modi-centric campaigns. We found no discernible patterns in how INC candidates personalized their social media campaigns.