Fake news detection in Dravidian languages using transfer learning with adaptive finetuning
Fake news has become a major challenge for online platforms and society as a whole, with
potentially harmful consequences for individuals and organizations. While there has been a …
potentially harmful consequences for individuals and organizations. While there has been a …
Fake News Detection Using Deep Learning: A Systematic Literature Review
MQ Alnabhan, P Branco - IEEE Access, 2024 - ieeexplore.ieee.org
Nowadays, we witness rapid technological advancements in online communication
platforms, with increasing volumes of people using a vast range of communication solutions …
platforms, with increasing volumes of people using a vast range of communication solutions …
Deep vs. shallow: a comparative study of machine learning and deep learning approaches for fake health news detection
T Mahara, VLH Josephine, R Srinivasan… - IEEE …, 2023 - ieeexplore.ieee.org
Internet explosion and penetration have amplified the fake news problem that existed even
before Internet penetration. This becomes more of a concern, if the news is health-related …
before Internet penetration. This becomes more of a concern, if the news is health-related …
Overview of the shared task on fake news detection from social media text
This document contains the instructions for preparing a manuscript for the proceedings of
RANLP 2023. The document itself conforms to its own specifications and is therefore an …
RANLP 2023. The document itself conforms to its own specifications and is therefore an …
MTL‑rtFND: Multimodal Transfer Learning for Real-Time Fake News Detection on Social Media
Social media platforms have become crucial channels for the rapid dissemination of news in
various formats, including text, images, audio, and video. Ensuring the authenticity of news …
various formats, including text, images, audio, and video. Ensuring the authenticity of news …