A survey on fake news and rumour detection techniques-Reference-Cited by-同舟云学术

A survey on fake news and rumour detection techniques

Published:2019-09 Issue: Volume:497 Page:38-55
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Bondielli Alessandro,Marcelloni Francesco^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference116 articles.

1. Detecting hoaxes, frauds, and deception in writing style online;Afroz,2012

2. Fake news identification on twitter with hybrid CNN and RNN models;Ajao,2018

3. Simple open stance classification for rumour analysis;Aker,2017

4. Social media and fake news in the 2016 election;Allcott,2017

5. An analysis of rumor;Allport;Public Opin. Q.,1946

Cited by 365 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable rumor detection based on grey clustering: Fusion of manual features and deep learning features;Information Sciences;2024-09

2. Analysis of child development facts and myths using text mining techniques and classification models;Heliyon;2024-09

3. Fake video detection among secondary school students: The impact of sociocultural, media literacy and media use factors;Telematics and Informatics Reports;2024-09

4. Fact or Fake? How News Title, Sentiment and Writing Style help AI to detect COVID-19 Fake News?;Applied Artificial Intelligence;2024-08-10

5. Determinants of users' unverified information sharing on social media platforms: A herding behavior perspective;Acta Psychologica;2024-08