DEAP-FAKED: Knowledge graph based approach for fake news detection
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 …
for events related to politics (2016 US Presidential elections), and healthcare (infodemic …
Game-on: Graph attention network based multimodal fusion for fake news detection
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 …
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
We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable
intelligence on misinformation prevalent in social media. Specifically, it uses language …
intelligence on misinformation prevalent in social media. Specifically, it uses language …
Reinforcement learning-based knowledge graph reasoning for explainable fact-checking
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 …
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
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 …
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
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 …
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
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 …
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
User-generated texts available on the web and social platforms are often long and
semantically challenging, making them difficult to annotate. Obtaining human annotation …
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
Recent policy initiatives have acknowledged the importance of disaggregating data
pertaining to diverse Asian ethnic communities to gain a more comprehensive …
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 …
specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by …