Is Twitter Enough? Investigating Situational Awareness in Social and Print Media during the Second COVID-19 Wave in India
Ishita Vohra, Meher Shashwat Nigam, Aryan Sakaria, Amey Kudari, Nimmi, Rangaswamy

TL;DR
This study compares social media and print media coverage during India's second COVID-19 wave, highlighting how socioeconomic factors influence information dissemination and suggesting combined media analysis enhances situational awareness.
Contribution
It introduces a comparative analysis of Twitter and print media in India during COVID-19, emphasizing the impact of socioeconomic factors on information dissemination and situational awareness.
Findings
Internet penetration and GDP influence Twitter discourse.
Print media coverage is consistent across regions.
Combining social and print media offers a comprehensive view.
Abstract
The 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 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.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMisinformation and Its Impacts · COVID-19 epidemiological studies · Sentiment Analysis and Opinion Mining
