Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach

15 October 2020

Papers citing "Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach"

10 / 10 papers shown

Title
Enhancing Social Media Rumor Detection: A Semantic and Graph Neural Network Approach for the 2024 Global Election Liu Yan Liu Yunpeng Zhao Liang 64 0 0 03 Mar 2025
AMIR: Automated MisInformation Rebuttal -- A COVID-19 Vaccination Datasets based Recommendation System Shakshi Sharma Anwitaman Datta Rajesh Sharma 21 1 0 29 Oct 2023
Reinforcement Learning-based Knowledge Graph Reasoning for Explainable Fact-checking Gustav Nikopensius Mohit Mayank Orchid Chetia Phukan Rajesh Sharma OffRL 35 6 0 11 Oct 2023
Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination Shakshi Sharma Anwitaman Datta Vigneshwaran Shankaran Rajesh Sharma 34 4 0 25 Aug 2023
PRODIGY: Enabling In-context Learning Over Graphs Qian Huang Hongyu Ren Peng Chen Gregor Krvzmanc D. Zeng Percy Liang J. Leskovec 43 70 0 21 May 2023
GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection Mudit Dhawan Shakshi Sharma Aditya Kadam Rajesh Sharma Ponnurangam Kumaraguru GNN 27 35 0 25 Feb 2022
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses S. Butt Shakshi Sharma Rajesh Sharma Grigori Sidorov Alexander Gelbukh 38 28 0 09 Nov 2021
Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic Shakshi Sharma Rajesh Sharma Anwitaman Datta 21 10 0 16 Aug 2021
DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection Mohit Mayank Shakshi Sharma Rajesh Sharma GNN 14 51 0 04 Jul 2021
Misinformation Detection on YouTube Using Video Captions Raj Jagtap Abhinav Kumar Rahul Goel Shakshi Sharma Rajesh Sharma Clint P. George 25 21 0 02 Jul 2021