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Is Twitter Enough? Investigating Situational Awareness in Social and Print Media during the Second COVID-19 Wave in India

Published: 28 June 2023 Publication History

Abstract

The COVID-19 pandemic required efficient allocation of public resources and transforming existing ways of societal functions. To manage any crisis, governments and public health researchers exploit the information available to them in order to make informed decisions, also defined as situational awareness. Gathering situational awareness using social media, has been functional to manage epidemics. Previous research focused on using discussions during periods of epidemic crises on social media platforms like Twitter, Reddit, or Facebook and developing NLP techniques to filter out important/relevant discussions from a huge corpus of messages and posts. Social media usage varies with internet penetration and other socioeconomic factors, which might induce disparity in analyzing discussions across different geographies. However, print media is a ubiquitous information source, irrespective of geography. Further, topics discussed in news articles are already 'newsworthy', while on social media 'newsworthiness' is a product of techno-social processes. Developing this fundamental difference, we study Twitter data during the second wave in India focused on six high-population cities with varied macroeconomic factors. Through a mixture of qualitative and quantitative methods, we further analyze two Indian newspapers during the same period and compare topics from both Twitter and the newspapers to evaluate situational awareness around the second phase of COVID on each of these platforms. We conclude that factors like internet penetration and GDP in a specific city influence the discourse surrounding situational updates on social media. Thus, augmenting information from newspapers to information extracted from social media would provide a more comprehensive perspective in resource-deficit cities.

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cover image ACM Conferences
ASONAM '22: Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
November 2022
617 pages
ISBN:9781665456616
  • General Co-chairs:
  • Nitin Agarwal,
  • Zongmin Ma,
  • Jon Rokne,
  • Program Co-chairs:
  • Jisun An,
  • Chelmis Charalampos,
  • Walid Magdy,
  • Steering Chair:
  • Reda Alhajj

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  • IEEE CS

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IEEE Press

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Published: 28 June 2023

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  1. situational awareness
  2. Twitter
  3. print media
  4. data mining
  5. web mining

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ASONAM '22
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