DISMISS: Database of Indian Social Media Influencers on Twitter

Arya, Arshia; De, Soham; Mishra, Dibyendu; Shekhawat, Gazal; Sharma, Aruna; Panda, Anmol; Lalani, Faisal; Singh, Parantak; Mothilal, Ramaravind Kommiya; Grover, Rynaa; Nishal, Sachita; Dash, Saloni; Shora, Shehla; Akbar, Syeda Zainab; Pal, Joyojeet

doi:10.1609/icwsm.v16i1.19370

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…To address the scalability issue and reduce noise attributable to subjectivity, we manually curate lists maintained by topic experts such as sports journalists and news media. We curated 33 such Twitter lists for Indian sportspersons and 47 lists for American sportspersons maintained by a set of journalists sampled from a pre‐existing database (Arya et al, 2022). We then combined the members of all lists, sorted them by their follower count and annotated these users to find the top 200 athletes based on follower counts from both the USA and India.…”

Section: Methodsmentioning

confidence: 99%

Sporting the government: Sportspersons' engagement with causes in India and the USA on twitter

2022

Self Cite

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With the ubiquitous reach of social media, influencers are becoming increasingly central to the articulation of political agendas on a range of topics. We curate a sample of tweets from the 200 most followed sportspersons in India and the USA since 2019, map their connections with politicians and visualise their engagements with key topics online. We find significant differences between the ways in which Indian and US sportspersons engage with politics—whereas leading Indian sportspersons tend to align closely with the ruling party and engage minimally in dissent, American sportspersons engage with a range of political issues and are willing to publicly criticise politicians or policy. Our findings suggest that the ownership and governmental control of sports affect public stances on issues that professional sportspersons are willing to engage in online. Also, depending on the government of the day, speaking up against the state and the government in power has different socioeconomic costs in the USA and India.

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Section: Methodsmentioning

confidence: 99%

Sporting the government: Sportspersons' engagement with causes in India and the USA on twitter

2022

Self Cite

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“…The selection of seed profiles is from the DISMISS dataset (Arya et al 2022), comprising a cohort of 11, 580 highly networked individuals. Since we are looking for individuals engaging with information sources, we want our seed set to consist of influential profiles triggering engagement.…”

Section: Empirical Datamentioning

confidence: 99%

Tight Sampling in Unbounded Networks

Jaglan,

Pindiprolu,

Sharma

et al. 2024

ICWSM

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The default approach to deal with the enormous size and limited accessibility of many Web and social media networks is to sample one or more subnetworks from a conceptually unbounded unknown network. Clearly, the extracted subnetworks will crucially depend on the sampling scheme. Motivated by studies of homophily and opinion formation, we propose a variant of snowball sampling designed to prioritize the inclusion of entire cohesive communities rather than any kind of representativeness, breadth, or depth of coverage. The method is illustrated on a concrete example, and experiments on synthetic networks suggest that it behaves as desired.

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