20 citations · 20 across the 3 of their papers we have counts for
3 papers · 1 filter
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets
Rachit Bansal, William Scott Paka, Nidhi +2
Fake tweets are observed to be ever-increasing, demanding immediate countermeasures to combat their spread. During COVID-19, tweets with misinformation should be flagged and neutra…
An Embedding-based Joint Sentiment-Topic Model for Short Texts
Ayan Sengupta, William Scott Paka, Suman Roy +2
Short text is a popular avenue of sharing feedback, opinions and reviews on social media, e-commerce platforms, etc. Many companies need to extract meaningful information (which ma…
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka, Rachit Bansal, Abhay Kaushik +2
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a tsunami of fake news and misinformation on social media. At the time when reliable information is vit…