Sagarika Suresh Thimmanayakanapalya
Biographic Data
| ID | 6715268 |
|---|---|
| NAME | Sagarika Suresh Thimmanayakanapalya |
| GIVEN NAMES | Sagarika Suresh |
| FAMILY NAME | Thimmanayakanapalya |
| SIGNATURE | THIMMANAYAKANAPALYA S S |
| AFFILIATIONS | University at Buffalo, State University of New York |
| ORCID | 0000-0001-9457-2963 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
The growing partisan politicization of non-political online spaces
Drawing on theories of identity politics and partisan polarization, we explored the politicization of Google Play’s news app reviews—an explicitly non-political domain. Using a mixed-methods approach, Analysis of Topic Model Networks (ANTMNs), combining topic modeling, network analysis, community detection, and theory-driven qualitative reading, we analyzed 759,143 reviews from 2009 to 2022 across 46 news apps. Three themes emerged: Technical, Co…
The growing partisan politicization of non-political online spaces
Drawing on theories of identity politics and partisan polarization, we explored the politicization of Google Play’s news app reviews—an explicitly non-political domain. Using a mixed-methods approach, Analysis of Topic Model Networks (ANTMNs), combining topic modeling, network analysis, community detection, and theory-driven qualitative reading, we analyzed 759,143 reviews from 2009 to 2022 across 46 news apps. Three themes emerged: Technical, Co…
The growing partisan politicization of non-political online spaces
Drawing on theories of identity politics and partisan polarization, we explored the politicization of Google Play’s news app reviews—an explicitly non-political domain. Using a mixed-methods approach, Analysis of Topic Model Networks (ANTMNs), combining topic modeling, network analysis, community detection, and theory-driven qualitative reading, we analyzed 759,143 reviews from 2009 to 2022 across 46 news apps. Three themes emerged: Technical, Co…
Advertising (1 work) · Business (1 work) · Computer Science (1 work) · Fake news (1 work) · Gender, Feminism, and Media (1 work) · Impact of Technology on Adolescents (1 work) · Internet privacy (1 work) · Media studies (1 work) · Political science (1 work) · Politics (1 work)