Sci-Hub | Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks. Proceedings of the 2020 International Conference on Multimedia Retrieval | 10.1145/3372278.3390713 摘要:…
Context The speed with which the Fake News spread today has encouraged work in various areas to minimize the damage and the public insecurity caused by their proliferation. Objective To characterize and analyze Fake News threat detection. Method Systematic Mapping, since the area youthfulness still ...
The trend of interest in fake news detection (yellow) is similar, but with fewer papers. Interest in fake news and its detection is still expected to grow fast in the near future. In this paper we propose a new system, called FaNDS, that can be applied to detect fake news efficiently....
虚假新闻检测(Fake News Detection with Heterogenous Deep Graph Convolutional Network) 今天分享一篇来自PAKDD2021的一篇关于虚假新闻检测的文章《Fake News Detection with Heterogenous Deep Graph Convolutional Network》,论文作者来自中科院。 论文传送门link.springer.com/content/pdf/10.1007/978-3-030-75762-5_33...
Fake News Detection System The proposed system was divided into stages to completely segregate the work based on the field of data mining operations like data collection, data preprocessing, feature extraction, feature selection and implementation of machine learning models for making the prediction for...
【Fake News Detection on Social Media:A Data Mining Perspective】 【社交媒体上的假新闻检测:一个数据挖掘的视角】 本文是2017年发布在ACM SIGKDD上的一篇文章,谷歌学术中引用量为134。 假新闻检测应该是当前一个比较热门的应用领域,我在看这篇文章之前先搜索了一下目前是否有假新闻检测方面的应用,发现谷歌和微...
A Fake News Detection System built with Neural Networks. deep-neural-networks deep-learning fake-news-detection Updated Feb 5, 2024 Jupyter Notebook zoppellarielena / Multinomial-Naive-Bayes-for-Fake-News-Classification Star 0 Code Issues Pull requests Developed for the Advanced Statistics for...
fake news detection综述【文章标题:深度综述:伪新闻检测】 1. 介绍 伪新闻是当今社会一个备受争议的话题,它的存在严重影响了信息的真实性和推送的可信度。为了解决这一问题,伪新闻检测技术应运而生。本文将从多个角度对伪新闻检测进行全面评估,并探讨其在当前信息社会中的重要性和挑战。 2. 伪新闻检测的定义 伪...
论文标题:Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer 论文作者:Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li 论文来源:COLING 2022 论文地址:download 论文代码:download ...
基于深度学习的多模态虚假新闻检测(Fake News Detection, FND)一直饱受关注,本文发现以往关于多模态FND的研究仍未解决两个主要问题: 不同工作虽提出一系列复杂的特征提取和跨模态融合网络来从新闻中获取表征判断是否存在异常。然而,没有足够的机制保证每个模态提取的信息都能够被充分用于最终的新闻检测决策环节,也鲜有显...