Digital footprints of Kashmiri Pandit migration on Twitter
DOI:
https://doi.org/10.3145/epi.2022.nov.07Palabras clave:
Kashmiri Pandit migration, Content analysis, Twitter, Mozdeh, Cohen´s kappa, Twitter data analytics, Social media analytics, Kashmir, Social media, Public attitudes, IndiaResumen
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.
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Ansari, Mohd-Zeeshan; Aziz, Mohd-Bilal; Siddiqui, M. O.; Mehra, H; Singh, K. P. (2020). "Analysis of political sentiment orientations on Twitter". Procedia computer science, v. 167, pp. 1821-1828. https://doi.org/10.1016/j.procs.2020.03.201
Arcila-Calderón, Carlos; Blanco-Herrero, David; Frías-Vázquez, Maximiliano; Seoane, Francisco (2021). "Refugees welcome? Online hate speech and sentiments in Twitter in Spain during the reception of the boat Aquarius". Sustainability, v. 13, n. 5, p. 2728. https://doi.org/10.3390/su13052728
Aydemir, Mucahit; Akyol, Huseyin-Burak (2020). "#Imnotavirus: Pro-migrant activism on Twitter amidst the global corona virus (COVID-19) outbreak". Social science and humanities open, SSRN. https://doi.org/10.2139/ssrn.3599758
Backfried, Gerhard; Shalunts, Gayane (2016). "Sentiment analysis of media in German on the refugee crisis in Europe". In: Díaz, Paloma; Bellamine, Ben-Saoud-Narjès; Julie, Dugdale; Hanachi, Chihab (eds.). Information systems for crisis response and management in Mediterranean countries (Iscram-med). Lecture notes in business information processing, v. 265. Cham: Springer, pp. 234-241. ISBN: 978 3 31947092 4 https://doi.org/10.1007/978-3-319-47093-1_20
Bhat, Muzafar; Qadri, Monisa; Beg, Noor-ul-Asrar; Kundroo, Majid; Ahanger, Naffi; Agarwal, Basant (2020). "Sentiment analysis of social media response on the Covid19 outbreak". Brain, behavior, and immunity, v. 87, pp. 136-137. https://doi.org/10.1016/j.bbi.2020.05.006
Bose, Sumantra (1997). The challenge in Kashmir: Democracy, self-determination and a just peace. New Delhi: Sage. ISBN: 978 0 803993501
Bose, Sumantra (2009). Kashmir: Roots of conflict, paths to peace. Cambridge: Harvard University Press. ISBN: 978 0 674028555
Bose, Sumantra (2021). Kashmir at the crossroads: Inside a 21st-century conflict. New Haven: Yale University Press. ISBN: 978 0 300262711
Burki, Shahid-Javed; United States Institute of Peace (2007). Kashmir: A problem in search of a solution. Washington, DC: U.S. Institute of Peace. https://www.files.ethz.ch/isn/30148/2007_march_pwks59.pdf
Chew, Cynthia; Eysenbach, Gunther (2010). "Pandemics in the age of Twitter: content analysis of tweets during the 2009 H1N1 outbreak". PloS one, v. 5, n. 11, e14118. https://doi.org/10.1371/journal.pone.0014118
Cohen, Jacob (1960). "A coefficient of agreement for nominal scales". Educational and psychological measurement, v. 20, n. 1, pp. 37-46. https://doi.org/10.1177/001316446002000104
Coletto, Mauro; Lucchese, Claudio; Muntean, Cristina-Ioana; Nardini, Franco-Maria; Esuli, Andrea; Renso, Chiara; Perego, Raffaele (2016). "Sentiment-enhanced multidimensional analysis of online social networks: Perception of the Mediterranean refugees crisis". In: 2016 IEEE/ACM International conference on advances in social networks analysis and mining (Asonam) (18-21 August), San Francisco, CA, USA: IEEE, pp. 1270-1277. https://doi.org/10.1109/ASONAM.2016.7752401
Datta, Ankur (2016) "Dealing with dislocation: Migration, place and home among displaced Kashmiri Pandits in Jammu and Kashmir". Contributions to Indian sociology, v. 50, n. 1, pp. 52-79. https://doi.org/10.1177/0069966715615024
Datta, Ankur (2017). "Uncertain journeys: Return migration, home, and uncertainty for a displaced Kashmiri community". Modern Asian studies, v. 51, n. 4, pp. 1099-1125. https://doi.org/10.1017/S0026749X16000160
Evans, Alexander (2002), "A departure from history: Kashmiri Pandits, 1990-2001". Contemporary South Asia, v. 11, n. 1, pp. 19-37. https://doi.org/10.1080/0958493022000000341
Ferra, Ioanna; Nguyen, Dennis (2017). "#Migrantcrisis: "˜tagging´ the European migration crisis on Twitter". Journal of communication management, v. 21, n. 4, pp. 411-426. https://doi.org/10.1108/JCOM-02-2017-0026
Gascó, Mila; Bayerl, Petra-Saskia; Denef, Sebastian; Akhgar, Babak (2017). "What do citizens communicate about during crises? Analyzing Twitter use during the 2011 UK riots". Government information quarterly, v. 34, n. 4, pp. 635-645. https://doi.org/10.1016/j.giq.2017.11.005
Gí¶kí§e, Osman-Zeki; Hatipoglu, Emre (2021). "Syrian refugees, public attitudes, policy areas and political parties in Turkey: A systematic analysis of Twitter data". Working papers 1469, Economic Research Forum, Revised 20 April 2021. https://ideas.repec.org/p/erg/wpaper/1469.html
Guidry, Jeanine P. D.; Jin, Yan; Orr, Caroline A.; Messner, Marcus; Meganck, Shana (2017). "Ebola on Instagram and Twitter: How health organizations address the health crisis in their social media engagement". Public relations review, v. 43, n. 3, pp. 477-486. https://doi.org/10.1016/j.pubrev.2017.04.009
Gul, Sumeer; Mahajan, Iram; Nisa, Nahida-Tun; Shah, Tariq-Ahmad; Asifa, Jan; Ahmad, Suhail (2016). "Tweets speak louder than leaders and masses: an analysis of tweets about the Jammu and Kashmir elections 2014". Online information review, v. 40, n. 7, pp. 900-912. https://doi.org/10.1108/OIR-10-2015-0330
Gul, Sumeer; Shah, Tariq-Ahmad; Ahad, Muzaffer; Mubashir, Mir; Ahmad, Suhail; Gul, Muntaha; Sheikh, Shueb (2018). "Twitter sentiments related to natural calamities: analysing tweets related to the Jammu and Kashmir floods of 2014". The electronic library, v. 36, n. 1, pp. 38-54. https://doi.org/10.1108/EL-12-2015-0244
Hanif, Samia; Ullah, Inayat (2018). "War trauma, collective memory, and cultural productions in conflict zones: Kashmir in focus". SAGE Open, v. 8, n. 3. https://doi.org/10.1177/2158244018800912
Hussain, Shahla (2021). Kashmir in the aftermath of partition. Cambridge: Cambridge University Press. ISBN: 978 1 108901130
Jain, Vinay-Kumar; Kumar, Shishir (2015). "An effective approach to track levels of influenza-A (H1N1) pandemic in India using Twitter". Procedia computer science, v. 70, pp. 801-807. https://doi.org/10.1016/j.procs.2015.10.120
Karatzogianni, Athina; Nguyen, Dennis; Serafinelli, Elisa (2016). The digital transformation of the public sphere conflict, migration, crisis and culture in digital networks. London: Palgrave Macmillan. ISBN: 978 1 137504562
Kim, Do-Own-Donna; Curran, Nathaniel-Ming; Kim, Hyun-Tae-Calvin (2020). "Digital feminism and affective splintering: South Korean Twitter discourse on 500 Yemeni refugees". International journal of communication, v. 14, paper 19. https://ijoc.org/index.php/ijoc/article/view/14322
Kim, Hwalbin; Jang, S. Mo; Kim, Sei-Hill; Wan, Anan (2018). "Evaluating sampling methods for content analysis of Twitter data". Social media + society, v. 4, n. 2. https://doi.org/10.1177/2056305118772836
Li, Shiyue; Liu, Zixuan; Li, Yanling (2020). "Temporal and spatial evolution of online public sentiment on emergencies". Information processing & management, v. 57, n. 2, 102177. https://doi.org/10.1016/j.ipm.2019.102177
Medford, Richard J.; Saleh, Sameh N.; Sumarsono, Andrew; Perl, Trish M.; Lehmann, Christoph U. (2020). "An "˜infodemic´: Leveraging high-volume Twitter data to understand public sentiment for the COVID-19 outbreak". Open forum infectious diseases, v. 7, n. 7, ofaa258. https://doi.org/10.1093/ofid/ofaa258
Middleton, Stuart E.; Middleton, Lee; Modafferi, Stefano (2013). "Real-time crisis mapping of natural disasters using social media". IEEE Intelligent systems, v. 29, n. 2, pp. 9-17. https://doi.org/10.1109/MIS.2013.126
Misra, Pooja; Gupta, Jaya (2021). "Impact of COVID 19 on Indian migrant workers: decoding Twitter data by text mining". The Indian journal of labour economics, v. 64, n. 3, pp. 731-747. https://doi.org/10.1007/s41027-021-00324-y
Mittal, Anshul; Goel, Arpit (2012). Stock prediction using Twitter sentiment analysis. https://cs229.stanford.edu/proj2011/GoelMittalStockMarketPredictionUsingTwitterSentimentAnalysis.pdf
Nerghes, Adina; Lee, Ju-Sung (2018). "The refugee/migrant crisis dichotomy on Twitter: A network and sentiment perspective". In: WebSci 2018 - Proceedings of the 10th ACM Conference on web science, May 27-30. New York, NY, USA: ACM, pp. 271-280. ISBN: 978 1 450355636 https://doi.org/10.1145/3201064.3201087
Nganji, Julius; Cockburn, Lynn (2020). "Use of Twitter in the Cameroon Anglophone crisis". Behaviour & information technology, v. 39, n. 3, pp. 267-287. https://doi.org/10.1080/0144929X.2019.1620333
Odlum, Michelle; Yoon, Sunmoo (2015). "What can we learn about the Ebola outbreak from tweets?. American journal of infection control, v. 43, n. 6, pp. 563-571. https://doi.org/10.1016/j.ajic.2015.02.023
Ozduzen, Ozge; Korkut, Umut; Ozduzen, Cansu (2020). ""˜Refugees are not welcome´: Digital racism, online place-making and the evolving categorization of Syrians in Turkey". New media & society, v. 23, n. 11, pp. 3349-3369. https://doi.org/10.1177/1461444820956341
í–ztí¼rk, Nazan; Ayvaz, Serkan (2018). "Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis". Telematics and informatics, v. 35, n. 1, pp. 136-147. https://doi.org/10.1016/j.tele.2017.10.006
Pak, Alexander; Paroubek, Patrick (2010). "Twitter as a corpus for sentiment analysis and opinion mining". In: Proceedings of the Seventh international conference on language resources and evaluation (LREC´10), May, Valletta, Malta: European Language Resources Association (ELRA). https://aclanthology.org/L10-1263
Rai, Mridu (2020). "Narratives from exile: Kashmiri Pandits and their construction of the past". In: Jalal, Ayesha; Bose, Sugata. Kashmir and the future of South Asia. Oxford, UK: Routledge, pp. 91-115. ISBN: 978 1 000318845
Rajput, Sudha (2019). Internal displacement and conflict: The Kashmiri Pandits in comparative perspective. London: Routledge.
Sarkaria, Mallika-Kaur (2009). "Powerful pawns of the Kashmir conflict: Kashmiri Pandit migrants". Asian and Pacific migration journal, v. 18, n. 2, pp. 197-230. https://doi.org/10.1177/011719680901800202
Sawhney, Charu (2019). "Internally displaced Kashmiri Pandits: Negotiation and access to cultural capital". South Asia: Journal of South Asia studies, v. 42, n. 6, pp. 1062-1077. https://doi.org/10.1080/00856401.2019.1670412
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