Vartalaap: what drives #airquality discussions: politics, pollution or pseudo-science?

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dc.contributor.author Adhikary, Rishiraj
dc.contributor.author Patel, Zeel B.
dc.contributor.author Srivastava, Tanmay
dc.contributor.author Batra, Nipun
dc.contributor.author Singh, Mayank
dc.contributor.author Bhatia, Udit
dc.contributor.author Guttikunda, Sarath
dc.coverage.spatial United States of America
dc.date.accessioned 2021-05-14T05:18:41Z
dc.date.available 2021-05-14T05:18:41Z
dc.date.issued 2021-04
dc.identifier.citation Adhikary, Rishiraj; Patel, Zeel B.; Srivastava, Tanmay; Batra, Nipun; Singh, Mayank; Bhatia, Udit and Guttikunda, Sarath, "Vartalaap: what drives #airquality discussions: politics, pollution or pseudo-science?", Proceedings of the ACM on Human-Computer Interaction, DOI: 10.1145/3449170, vol. 5, Apr. 2021. en_US
dc.identifier.issn 2573-0142
dc.identifier.uri https://doi.org/10.1145/3449170
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/6412
dc.description.abstract Air pollution is a global challenge for cities across the globe. Understanding the public perception of air pollution can help policymakers engage better with the public and appropriately introduce policies. Accurate public perception can also help people to identify the health risks of air pollution and act accordingly. Unfortunately, current techniques for determining perception are not scalable: it involves surveying few hundred people with questionnaire-based surveys. Using the advances in natural language processing (NLP), we propose a more scalable solution called Vartalaap to gauge public perception of air pollution via the microblogging social network Twitter. We curated a dataset of more than 1.2M tweets discussing Delhi-specific air pollution. We find that (unfortunately) the public is supportive of unproven mitigation strategies to reduce pollution, thus risking their health due to a false sense of security. We also find that air quality is a year-long problem, but the discussions are not proportional to the level of pollution and spike up when pollution is more visible. The information required by Vartalaap is publicly available and, as such, it can be immediately applied to study different societal issues across the world.
dc.description.statementofresponsibility by Rishiraj Adhikary, Zeel B. Patel, Tanmay Srivastava, Nipun Batra, Mayank Singh, Udit Bhatia and Sarath Guttikunda
dc.format.extent vol. 5
dc.language.iso en_US en_US
dc.publisher Association for Computing Machinery en_US
dc.subject Human-centered computing en_US
dc.subject social media en_US
dc.subject air pollution en_US
dc.subject perception en_US
dc.title Vartalaap: what drives #airquality discussions: politics, pollution or pseudo-science? en_US
dc.type Article en_US
dc.relation.journal Proceedings of the ACM on Human-Computer Interaction


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