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In these times of fear, panic, and anxiety surrounding COVID-19, general public turns to social media to communicate their opinions and express emotions.

There is increased sharing of news without validating its authenticity and accuracy.

But we’re not just fighting an epidemic; we’re fighting an infodemic. Fake news spreads faster and easily than the virus and is just as dangerous. _WHO

Absence of data-driven analysis leads to "freedom of speech" argument and restricts policy discussions to try and control the spread of mis-information.

Investigate how we can leverage data to emphasize the impact of the infodemic and how it impacts public sentiment.

Let the data do the talking !!

Twitter is one of the biggest social media platforms with millions of tweets a day

Utilize Natural Language Processing (NLP) to assess the tweets of media and influential personalities and how it influences public sentiment

Understand public perception and the influence of misinformation on public sentiment to

• Help Policymakers with data-driven decision making to introduce checks and balances to curb the spread of misinformation
• Inspire Media and influential personalities to be cognizant of their influence and share the right news
• Wake-up General Public to be more conscious about their news consumption.