DEAP-FAKED: Knowledge graph based approach for fake news detection

M Mayank, S Sharma, R Sharma - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
Fake News on social media platforms has attracted a lot of attention in recent times, primarily
for events related to politics (2016 US Presidential elections), and healthcare (infodemic …

Game-on: Graph attention network based multimodal fusion for fake news detection

M Dhawan, S Sharma, A Kadam, R Sharma… - Social Network Analysis …, 2024 - Springer
Fake news being spread on social media platforms has a disruptive and damaging impact
on our lives. Multimedia content improves the visibility of posts more than text data but is …

Misinformation concierge: a proof-of-concept with curated Twitter dataset on Covid-19 vaccination

S Sharma, A Datta, V Shankaran… - Proceedings of the 32nd …, 2023 - dl.acm.org
We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable
intelligence on misinformation prevalent in social media. Specifically, it uses language …

Reinforcement learning-based knowledge graph reasoning for explainable fact-checking

G Nikopensius, M Mayank, OC Phukan… - Proceedings of the …, 2023 - dl.acm.org
Fact-checking is a crucial task as it ensures the prevention of misinformation. However,
manual fact-checking cannot keep up with the rate at which false information is generated …

(Mis) leading the Covid-19 vaccination discourse on twitter: an exploratory study of infodemic around the pandemic

S Sharma, R Sharma, A Datta - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this work, we collect a moderate-sized representative corpus of tweets (over 200 000)
pertaining to COVID-19 vaccination spanning for a period of seven months (September …

AMIR: Automated MisInformation Rebuttal--A COVID-19 Vaccination Datasets based Recommendation System

S Sharma, A Datta, R Sharma - arXiv preprint arXiv:2310.19834, 2023 - arxiv.org
Misinformation has emerged as a major societal threat in recent years in general;
specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by …

A deep neural network-based approach for fake news detection in regional language

P Katariya, V Gupta, R Arora, A Kumar… - International Journal of …, 2022 - emerald.com
Purpose The current natural language processing algorithms are still lacking in judgment
criteria, and these approaches often require deep knowledge of political or social contexts …

Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts

J Gatto, SM Preum - arXiv preprint arXiv:2309.09877, 2023 - arxiv.org
User-generated texts available on the web and social platforms are often long and
semantically challenging, making them difficult to annotate. Obtaining human annotation …

Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media

F Wu, S Lakhanpal, Q Li, K Lee, D Kim… - Proceedings of the …, 2024 - dl.acm.org
Recent policy initiatives have acknowledged the importance of disaggregating data
pertaining to diverse Asian ethnic communities to gain a more comprehensive …

AMIR: An Automated Misinformation Rebuttal System–A COVID-19 Vaccination Datasets-Based Exposition

S Sharma, A Datta, R Sharma - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Misinformation has emerged as a major societal threat in the recent years in general;
specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by …