Results 11 to 20 of about 5,447,969 (268)
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022 The development of the internet and technology have led the world to online, every single step and every single move has become online, it seems everything can be done just with a click on the internet. It is not just limited to buying groceries or booking tickets, it has been exaggerated to online video meetings, online learning and more and more ...
K. Harshitha +4 more
+6 more sources
Fake News Detection on Social Networks: A Survey
Applied Sciences, 2023 In recent years, social networks have developed rapidly and have become the main platform for the release and dissemination of fake news. The research on fake news detection has attracted extensive attention in the field of computer science.
Yanping Shen +4 more
doaj +1 more source
Topic-Aware Fake News Detection Based on Heterogeneous Graph
IEEE Access, 2023 In recent years, fake news has had a bad impact on individuals and society, which has aroused widespread concern about fake news detection. The existing heterogeneous graph-based fake news detection model (CompareNet) mainly focuses on the semantic ...
Lijuan Sun, Hongbin Wang
doaj +1 more source
TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection [PDF]
, 2023 Compared to ordinary news, fake news is characterized by faster dissemination and lower production cost and therefore causes a great social harm. For these reasons, the challenge to efficiently and accurately detect fake news has attracted a lot of ...
core +1 more source
Utilization Strategy of User Engagements in Korean Fake News Detection
IEEE Access, 2022 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.
Myunghoon Kang +3 more
doaj +1 more source
Systems, 2023 With the popularization of digital technology, the problem of information pollution caused by fake news has become more common. Malicious dissemination of harmful, offensive or illegal content may lead to misleading, misunderstanding and social unrest ...
Lu Yuan +4 more
doaj +1 more source
IEEE Access, 2023 As fake news spreads rapidly in social media, attempts to develop detection technology to automatically identify fake news are actively being developed, recently.
Minjung Park, Sangmi Chai
doaj +1 more source
Credibility-Based Fake News Detection [PDF]
, 2020 Fake news can significantly misinform people who often rely on online sources and social media for their information. Current research on fake news detection has mostly focused on analyzing fake news content and how it propagates on a network of users. In this paper, we emphasize the detection of fake news by assessing its credibility.
Niraj Sitaula +4 more
openaire +2 more sources
A Comprehensive Review on Fake News Detection With Deep Learning
IEEE Access, 2021 A protuberant issue of the present time is that, organizations from different domains are struggling to obtain effective solutions for detecting online-based fake news.
M. F. Mridha +4 more
doaj +1 more source
Evaluating the Spread of Fake News and its Detection. Techniques on Social Networking Sites
Romanian Journal of Communications and Public Relations, 2020 The phenomenon of fake news has become a much contentious issue recently. The controversy regarding this issue has further been intensified by the openness of social media platforms.
Isyaku Hassan +2 more
doaj +1 more source