activity
20182026
most citedFighting an Infodemic: COVID-19 Fake News Dataset

273 citations · 441 across the 37 of their papers we have counts for

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Showing 2022Show all

13 papers · 1 filter

cs.CY2022★ 2 cited

What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes

Shivam Sharma, Siddhant Agarwal, Tharun Suresh +3

Memes are powerful means for effective communication on social media. Their effortless amalgamation of viral visuals and compelling messages can have far-reaching implications with…

cs.CL2022★ 1 cited

Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues

Shivani Kumar, Ishani Mondal, Md Shad Akhtar +1

Conversations emerge as the primary media for exchanging ideas and conceptions. From the listener's perspective, identifying various affective qualities, such as sarcasm, humour, a…

cs.CL2022★ 2 cited

Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter

Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya +2

The widespread diffusion of medical and political claims in the wake of COVID-19 has led to a voluminous rise in misinformation and fake news. The current vogue is to employ manual…

cs.CL2022★ 2 cited

Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar +1

Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-l…

cs.CL2022

Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis

Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar +1

Existing self-supervised learning strategies are constrained to either a limited set of objectives or generic downstream tasks that predominantly target uni-modal applications. Thi…

cs.CY2022

Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction

Venktesh V, Md. Shad Akhtar, Mukesh Mohania +1

Online learning platforms conduct exams to evaluate the learners in a monotonous way, where the questions in the database may be classified into Bloom's Taxonomy as varying levels…

cs.CL2022★ 3 cited

Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization

Sarah Masud, Manjot Bedi, Mohammad Aflah Khan +2

Curbing online hate speech has become the need of the hour; however, a blanket ban on such activities is infeasible for several geopolitical and cultural reasons. To reduce the sev…

cs.CL2022

Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering

Aseem Srivastava, Tharun Suresh, Sarah Peregrine +3

The psychotherapy intervention technique is a multifaceted conversation between a therapist and a patient. Unlike general clinical discussions, psychotherapy's core components (viz…

cs.CL2022★ 3 cited

Detecting and Understanding Harmful Memes: A Survey

Shivam Sharma, Firoj Alam, Md. Shad Akhtar +7

The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audi…

cs.CL2022★ 1 cited

DISARM: Detecting the Victims Targeted by Harmful Memes

Shivam Sharma, Md. Shad Akhtar, Preslav Nakov +1

Internet memes have emerged as an increasingly popular means of communication on the Web. Although typically intended to elicit humour, they have been increasingly used to spread h…

cs.CL2022★ 5 cited

A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer

Ayan Sengupta, Tharun Suresh, Md Shad Akhtar +1

Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learning the semantics an…

cs.CL2022

Detecting Anchors' Opinion in Hinghlish News Delivery

Siddharth Sadhwani, Nishant Grover, Md Akhtar +1

Humans like to express their opinions and crave the opinions of others. Mining and detecting opinions from various sources are beneficial to individuals, organisations, and even go…

cs.CL2022★ 1 cited

When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues

Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar +1

Indirect speech such as sarcasm achieves a constellation of discourse goals in human communication. While the indirectness of figurative language warrants speakers to achieve certa…