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Jan 30, 2022 · In this paper, we propose a novel deep neural framework for fake news detection. We identify and address two unique challenges related to fake news: (1) early fake news detection and (2) label shortage. The framework has three essential parts: (1) news module, (2) social contexts module and (3) detection module.
Oct 26, 2022 · Fake News Detection Model using TensorFlow in Python Fake News means incorporating information that leads people to the wrong paths. It can have real-world adverse effects that aim to intentionally deceive, gain attention, manipulate public opinion, or damage reputation.
Fake News Detection is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake.
This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.
Fake News Detector* A deep learning network developed by CBMM computer scientists that detects patterns in the language of fake news.
Jan 1, 2022 · Fake news detection aims to identify the fake news automatically. Existing traditional ML based FND methods require feature engineering. According to the features that the models utilized, those methods can be broadly divided into three categories: linguistic features, temporal-structural features and the hybrid features.
Apr 14, 2023 · Content-Based Fake News Detection (CBFND) has the purpose of assessing news intention as a set of quantifiable features, often machine learning features, extracted from news content. CBFND is a critical tool for identifying news harmfulness.
May 1, 2023 · Currently, fake news detection relies mainly on news and context information. In this survey, we categorize factors that can aid fake news detection into seven categories of features: network-, sentiment-, linguistic-, visual-, post-, user-, and latent-based features. Download : Download high-res image (1MB) Download : Download full-size image ...
Apr 30, 2024 · To address these challenges, there is a growing need for automated fake news detection mechanisms. Pre-trained large language models (LLMs) have demonstrated exceptional capabilities across various natural language processing (NLP) tasks, prompting exploration into their potential for verifying news claims.
Oct 26, 2023 · The automatic detection of social media related fake news has thus emerged as a highly anticipated research area in recent years. This paper offers a comprehensive review of the automatic detection of fake news on social media platforms.
