Advanced Fake News Detection packaged as a browser extension.
-
Updated
Nov 11, 2024 - Python
Advanced Fake News Detection packaged as a browser extension.
虚假新闻检测 - nku 南开大学《python语言程序设计》大作业
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models, CIKM 2024.
COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
This WebApp uses a combination of a Large Language Model and Logistic Regression to make predictions to identify fake news.
Fraud, Fake News, Fake Review, Detection using AI in a extention.
English and Turkish Misinformation Detection Dataset from "MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection"
I implemented 3HAN(Hierarchical Attention Network)for fake news detection in pytorch. The same model can be modified and trained for different text classification tasks.
In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.
A fact checking DApp which verifies the authenticity of news.
Fake News Detection Using Python and Data Science This project aims to detect fake news using Python and data science techniques. By leveraging machine learning algorithms and natural language processing (NLP), we classify news articles as real or fake.
A Rest API that can receive text, preprocess it and use Logistic Regression to predict if it is real or fake
Fake news detection using TF-IDF vectorization and LinearSVC
The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".
[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"
Submission for SemEval 2024 - Task 8 (Subtask A)
Projects completed during internship with code.
Add a description, image, and links to the fake-news-detection topic page so that developers can more easily learn about it.
To associate your repository with the fake-news-detection topic, visit your repo's landing page and select "manage topics."