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Found 8 papers, 3 papers with code
AMIR: Automated MisInformation Rebuttal -- A COVID-19 Vaccination Datasets based Recommendation System
While the ideas herein can be generalized and reapplied in the broader context of misinformation mitigation using a multitude of information sources and catering to the spectrum of social media platforms, this work serves as a proof of concept, and as such, it is confined in its scope to only rebuttal of tweets, and in the specific context of misinformation regarding COVID-19.
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.
GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection
A plethora of previous multimodal-based work has tried to address the problem of modeling heterogeneous modalities in identifying fake content.
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses
In the descriptive line of works, where researchers have tried to analyse rumours using NLP approaches, there isnt much emphasis on psycho-linguistics analyses of social media text.
Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic
We build on this to study and contrast the characteristics of tweets in the corpus that are misleading in nature against non-misleading ones.
DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection
Our approach is a combination of the NLP -- where we encode the news content, and the GNN technique -- where we encode the Knowledge Graph (KG).
Misinformation Detection on YouTube Using Video Captions
Using caption dataset, the proposed models can classify videos among three classes (Misinformation, Debunking Misinformation, and Neutral) with 0. 85 to 0. 90 F1-score.
Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach
Thus, it is important to detect and control the misinformation in such platforms before it spreads to the masses.
