FNDNet – A deep convolutional neural network for fake news detection
Sign Up to like & getrecommendations! Published in 2020 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2019.12.005
Abstract: Abstract With the increasing popularity of social media and web-based forums, the distribution of fake news has become a major threat to various sectors and agencies. This has abated trust in the media, leaving readers… read more here.
Keywords: news detection; news; neural network; fake news ... See more keywords
Fake news detection for epidemic emergencies via deep correlations between text and images
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2020.102652
Abstract: Abstract In recent years, major emergencies have occurred frequently all over the world. When a major global public heath emergency like COVID-19 broke out, an increasing number of fake news in social media networks are… read more here.
Keywords: news; news detection; semantic correlations; correlations text ... See more keywords
A Hybrid Linguistic and Knowledge-Based Analysis Approach for Fake News Detection on Social Media
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3181184
Abstract: The rapid development of different social media and content-sharing platforms has been largely exploited to spread misinformation and fake news that make people believing in harmful stories, which allow to influence public opinion, and could… read more here.
Keywords: news; knowledge based; news detection; fake news ... See more keywords
Utilization Strategy of User Engagements in Korean Fake News Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194269
Abstract: Fake News (disinformation with malicious intent) has emerged as a major social problem. To address this issue, previous studies mainly utilized single information, the news content, to detect fake news. However, using only news content… read more here.
Keywords: news detection; fake news; news; korean fake ... See more keywords
Selective Feature Sets Based Fake News Detection for COVID-19 to Manage Infodemic
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206963
Abstract: During the COVID-19 pandemic, the spread of fake news became easy due to the wide use of social media platforms. Considering the problematic consequences of fake news, efforts have been made for the timely detection… read more here.
Keywords: machine learning; feature; fake news; news ... See more keywords
Fake News Detection System Using Featured-Based Optimized MSVM Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3216892
Abstract: Fake News creates erroneous suspense information that can be identified. This spreads dishonesty about a country’s status or overstates the expense of special functions for a government, destroying democracy in certain countries, such as in… read more here.
Keywords: fake news; news; detection system; news detection ... See more keywords
Modality and Event Adversarial Networks for Multi-Modal Fake News Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3181893
Abstract: With the popularity of news on social media, fake news has become an important issue for the public and government. There exist some fake news detection methods that focus on information exploration and utilization from… read more here.
Keywords: event; multi modal; fake news; news ... See more keywords
Poligraph: Intrusion-Tolerant and Distributed Fake News Detection System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2021.3131026
Abstract: We present Poligraph, an intrusion-tolerant and decentralized fake news detection system. Poligraph aims to address architectural, system, technical, and social challenges of building a practical, long-term fake news detection platform. We first conduct a case… read more here.
Keywords: system; poligraph; fake news; news ... See more keywords
An Integrated Multi-Task Model for Fake News Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3054993
Abstract: Fake news detection attracts many researchers' attention due to the negative impacts on the society. Most existing fake news detection approaches mainly focus on semantic analysis of news' contents. However, the detection performance will dramatically… read more here.
Keywords: task; model; news; news detection ... See more keywords
Category-Controlled Encoder-Decoder for Fake News Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3103833
Abstract: The existing data-driven approaches typically capture credibility-indicative representations from relevant articles for fake news detection, such as skeptical and conflicting opinions. However, these methods still have several drawbacks: 1) Due to the difficulty of collecting… read more here.
Keywords: news; news detection; category controlled; fake news ... See more keywords
Leveraging social context for fake news detection
Sign Up to like & getrecommendations! Published in 2022 at "Communications of the ACM"
DOI: 10.1145/3517213
Abstract: dataset, with an AUC of 75%. This result represents a cautionary tale for future research in this domain. While using a broad range of features and sophisticated techniques, FANG is far from reaching optimal performance,… read more here.
Keywords: social context; leveraging social; context fake; fake news ... See more keywords