Loading...
Digital footprints of Kashmiri pandit migration on Twitter
Gulzar, Farzana ; Gul, Sumeer ; Mehraj, Midhat ; Bano, Shohar ;
Gulzar, Farzana
Gul, Sumeer
Mehraj, Midhat
Bano, Shohar
Editors
Other contributors
Affiliation
Epub Date
Issue Date
2022-11-16
Submitted date
Alternative
Abstract
The paper investigates changing levels of online concern about the Kashmiri Pandit migration of the 1990s on Twitter. Although decades old, this movement of people is an ongoing issue in India, with no current resolution. Analysing changing reactions to it on social media may shed light on trends in public attitudes to the event. Tweets were downloaded from Twitter using the academic version of its application programming interface (API) with the aid of the free social media analytics software Mozdeh. A set of 1000 tweets was selected for content analysis with a random number generator in Mozdeh. The results show that the number of tweets about the issue has increased over time, mainly from India, and predominantly driven by the release of films like Shikara and The Kashmir Files. The tweets show apparent universal sup-port for the Pandits but often express strong emotions or criticize the actions of politicians, showing that the migration is an ongoing source of anguish and frustration that needs resolution. The results also show that social media analysis can give insights even into primarily offline political issues that predate the popularity of the web, and can easily incorporate international perspectives necessary to understand complex migration issues.
Citation
Gulzar, F., Gul, S., Mehraj, M., Bano, S. and Thelwall, M. (2022). Digital footprints of Kashmiri Pandit migration on Twitter. Profesional De La información, 31(6). https://doi.org/10.3145/epi.2022.nov.07
Journal
Research Unit
PubMed ID
PubMed Central ID
Embedded videos
Type
Journal article
Language
en
Description
© 2022 The Authors. Published by EPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3145/epi.2022.nov.07
Series/Report no.
ISSN
1386-6710