Fake News Detection(虚假新闻检测)是在NLP(自然语言处理)领域相当热门的一个话题,无论是用传统Machine Learning 方法去分类true or false,还是用Deep learning 模型学习latent features 或是 language representations,都离不开对fake news本身的研究。 因此作为这个系列的第一篇文章,我先做了一个整体的框架表述。对于...
Given the ubiquity of fake news online, a reliable mechanism for automated detection is needed. This project proposes a new end-to-end detection pipeline, which uses Natural Language Processing (NLP) techniques for automated evidence extraction from online sources given an input claim of arbitrary ...
[1] Shu,Kai,Suhang Wang, and Huan Liu. "Understanding user profiles on socialmediafor fake news detection."2018 IEEE Conference on Multimedia InformationProcessing and Retrieval (MIPR). IEEE, 2018. [2] Shu, Kai,H.Russell Bernard, and Huan Liu. "Studying fake news via networkanalysis:detectio...
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks 基于持续增强社交上下文表示的图神经网络虚假新闻检测 论文作者:Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser 2022ACL 普渡大学 论文地址:https://aclanthology.org/2022.acl-long.97.pdf 代码和数...
UPFD-GOS (User Preference-aware Fake News Detection)|社交媒体分析数据集|图神经网络数据集 BanMANI|社交媒体新闻操纵数据集|低资源语言NLP数据集 Fake News Filipino Dataset|假新闻检测数据集|信息识别数据集 CIDII Dataset|信息真实性数据集|宗教研究数据集 ...
News plays a significant role in shaping people's beliefs and opinions. Fake news has always been a problem, which wasn't exposed to the mass public until the past election cycle for the 45th President of the United States. While quite a few detection methods have been proposed to combat ...
Ic**ot上传34.93 KB文件格式zipnlpdata-sciencemachine-learningnews fake_news_detection 使用Kaggle数据集检测假新闻的简单模型 (0)踩踩(0) 所需:9积分 anurbs-0.13.0-cp36-cp36m-manylinux2010_x86_64.whl.zip 2025-01-27 06:05:10 积分:1
To overcome these consequences, it is essential to develop automatic detection of fake news in order to protect the environment. When compared with traditional Machine Learning (ML) techniques, Deep Learning (DL) algorithms showed an encouraging outcomes in Natural Language Processing (NLP). So, ...
An advanced Arabic fake news detection model using LSTM and AraBERT. This project leverages the Arabic Fake News Dataset (AFND) to classify news articles as credible, not credible, or undecided. Includes preprocessing steps, model building, and evaluation using TensorFlow. nlp deep-learning text-...
我们在三个真实世界的数据集上进行了假新闻检测的实验,包括两个英文数据集( PolitiFact和GossipCop)和一个中文数据集(微博)。英文数据集PolitiFact和GossipCop是通过FakeNewsNet [ 53 ]收集的。微博数据集是通过爬虫工具获得的[ 54 ]。其主要统计数据如表1所示。