Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States

no code implementations • 24 Jun 2023 • Ridam Pal, Sanjana S, Deepak Mahto, Kriti Agrawal, Gopal Mengi, Sargun Nagpal, Akshaya Devadiga, Tavpritesh Sethi

Disgust was the predominant emotion associated with misinformation tweets in the US, while anticipation was the predominant emotion in India.

Misinformation Sentiment Analysis +1

Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings

no code implementations • 2 Apr 2021 • Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima, Ananya Tyagi, Tavpritesh Sethi

We also observed a significant change in the linear trends of categories like hesitation and contentment before and after approval of vaccines.

Community Detection Misinformation +1

A Cross-lingual Natural Language Processing Framework for Infodemic Management

no code implementations • 30 Oct 2020 • Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi

In this work, we present a novel Cross-lingual Natural Language Processing framework to provide relevant information by matching daily news with trusted guidelines from the World Health Organization.

Management Misinformation +1

A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic

no code implementations • 16 Mar 2020 • Rohan Pandey, Vaibhav Gautam, Ridam Pal, Harsh Bandhey, Lovedeep Singh Dhingra, Himanshu Sharma, Chirag Jain, Kanav Bhagat, Arushi, Lajjaben Patel, Mudit Agarwal, Samprati Agrawal, Rishabh Jalan, Akshat Wadhwa, Ayush Garg, Vihaan Misra, Yashwin Agrawal, Bhavika Rana, Ponnurangam Kumaraguru, Tavpritesh Sethi

Conclusion: We conclude that a multi-pronged machine learning application delivering vernacular bite-sized audios and conversational AI is an effective approach to mitigate health misinformation.

BIG-bench Machine Learning Chatbot +3