A Literature Survey on Demographics and Topic Impacts on the co-spread of Healthcare prediction based on Twitter(X) Data
Journal Title: Engineering and Technology Journal - Year 2024, Vol 9, Issue 04
Abstract
Big data is being used much more frequently to monitor trends in business, economics, society, and health as a result of more individuals utilizing Twitter and other social media. Businesses utilize sophisticated statistical techniques to forecast and monitor events such as disease outbreaks and trends in mental health by combining a wide range of data sets from social media. This kind of data utilization has benefits, but there are drawbacks as well, such as the rapidity with which false information can proliferate on Twitter. The approach that is being suggested emphasizes the necessity of improving fact-checking procedures, especially in the healthcare industry where false information can have detrimental effects. This underscores the growing importance of reliable data, information, and knowledge flows in shaping economies while acknowledging the imperative to address challenges associated with the information revolution.
Authors and Affiliations
Ganesh Nedunuri, Sumanth Geddam, Srujana Inturi,
Keywords
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- EP ID EP733924
- DOI 10.47191/etj/v9i04.12
- Views 43
- Downloads 0
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