fakenews
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A dataset of millions of news articles scraped from a curated list of data sources.
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Jan 25, 2020
An in-progress collection of sites that spread clickbait, hoaxes, propaganda and disinformation.
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Nov 5, 2023
[EMNLP'21] Visual News: Benchmark and Challenges in News Image Captioning
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Jul 18, 2024 - Jupyter Notebook
Fake News Detection by Learning Convolution Filters through Contextualized Attention
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Sep 26, 2021 - Python
TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19
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Jun 17, 2024 - Jupyter Notebook
The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning
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May 21, 2021 - Python
Tools and algorithms to analyze Paraguayan Tweets in times of elections
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Dec 8, 2022 - Jupyter Notebook
Full stack Fake News Detection using machine learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
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Mar 11, 2023 - Python
PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection
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Jan 25, 2022 - Python
🔍 Chráňte vašich blízkych pred nedôveryhodným 🇸🇰 a 🇨🇿 obsahom
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Nov 14, 2023 - TypeScript
Utilities & scripts to collect and find insight from social network data and users.
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Jan 11, 2020 - Python
This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018
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Feb 19, 2022 - Python
A system aiming to solve fake news and propaganda through a vetting mechanism to verify facts from trash. A system to end cyclic discussions on the Internet and curve the spread of misinformation.
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Sep 21, 2024 - JavaScript
Fake News Detection-Naive Bayes Model
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Apr 23, 2020 - Jupyter Notebook
Detecting fake news articles by analyzing patterns in writing.
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Mar 30, 2020 - Jupyter Notebook
[EACL'23] COVID-VTS: Fact Extraction and Verification on Short Video Platforms
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Sep 26, 2023
This is the repository of Pytorch code and dataset for paper "Learning from Fact-checkers: Analysis and Generation of Fact-checking Language", SIGIR 2019
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Feb 19, 2022 - Python
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