most citedOverview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20233 cited

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes

Shreyash Mishra, S Suryavardan, Megha Chakraborty +9

Analyzing memes on the internet has emerged as a crucial endeavor due to the impact this multi-modal form of content wields in shaping online discourse. Memes have become a powerfu…

cs.CL2023

Findings of Factify 2: Multimodal Fake News Detection

S Suryavardan, Shreyash Mishra, Megha Chakraborty +9

With social media usage growing exponentially in the past few years, fake news has also become extremely prevalent. The detrimental impact of fake news emphasizes the need for rese…

cs.CL2023

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering

Megha Chakraborty, Khushbu Pahwa, Anku Rani +15

Combating disinformation is one of the burning societal crises -- about 67% of the American population believes that disinformation produces a lot of uncertainty, and 10% of them k…

cs.CL2023

IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images

Varuna Krishna, S Suryavardan, Shreyash Mishra +6

Word embeddings, i.e., semantically meaningful vector representation of words, are largely influenced by the distributional hypothesis "You shall know a word by the company it keep…

cs.CL2023

Factify 2: A Multimodal Fake News and Satire News Dataset

S Suryavardan, Shreyash Mishra, Parth Patwa +9

The internet gives the world an open platform to express their views and share their stories. While this is very valuable, it makes fake news one of our society's most pressing pro…