Results 241 to 250 of about 5,447,969 (268)
Some of the next articles are maybe not open access.

Bengali Fake News Detection

2020 IEEE 10th International Conference on Intelligent Systems (IS), 2020
Yellow journalism has become a buzzword for everyone nowadays. Increasing use of internet and social media makes people more vulnerable to fake news. To gain popularity and to have profit through clickbait news publisher and social media circulate fake news to deceive people by creating interesting content of a specific topic.
Farzana Islam   +6 more
openaire   +1 more source

Detecting Fake News Articles

2019 IEEE International Conference on Big Data (Big Data), 2019
Fake news has been generated and widely spread although journalists and researchers created fact-checking websites (e.g., Snopes and PolitiFact) and analyzed characteristics of fake news. To fill this gap, in this paper we focus on developing machine learning models based on only text information in news articles toward automatically detecting fake ...
Jun Lin   +4 more
openaire   +2 more sources

A Tool for Fake News Detection

2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2018
The word post-truth was considered by Oxford Dictionaries Word of the Year 2016. The word is an adjective relating to or denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief. This leads to misinformation and problems in society.
Bashar Al Asaad, Madalina Erascu
openaire   +2 more sources

Fake News Detection

2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2018
Information preciseness on Internet, especially on social media, is an increasingly important concern, but web-scale data hampers, ability to identify, evaluate and correct such data, or so called "fake news," present in these platforms. In this paper, we propose a method for "fake news" detection and ways to apply it on Facebook, one of the most ...
Akshay Jain, Amey Kasbe
openaire   +1 more source

Fake News Detection

International Journal of Scientific & Engineering Research, 2020
Now-a-days it's exceedingly common in this digital world that someone for his or her benefit try to manipulate a mass with false information. With the massive use of social media by the population which is beneficial for the users most of the time, can also be used as a really good platform to spread a fake news and at worse try to create chaos in ...
Aniket Kumar   +3 more
openaire   +2 more sources

Detecting fake news by image analysis

Proceedings of the 24th Symposium on International Database Engineering & Applications, 2020
The uncontrolled growth of fake news creation and dissemination we observed in recent years causes continuous threats to democracy, justice, and public trust. This problem has significantly driven the effort of both academia and industries for developing more accurate fake news detection strategies.
Masciari E.   +3 more
openaire   +2 more sources

AI and Fake News: A Conceptual Framework for Fake News Detection

Proceedings of the 2022 International Conference on Cyber Security, 2022
Leila Ameli   +5 more
openaire   +2 more sources

Distributed Architecture for Fake News Detection

2020
Countering the fake news phenomenon has become one of the most important challenges for democratic societies, governments and non-profit organizations, as well as for the researchers coming from several domains. This is not a local problem, and demands a holistic approach to analyzing heterogeneous data and storing the results.
Rafal Kozik   +3 more
openaire   +1 more source

Fake news detection: A survey of graph neural network methods

Applied Soft Computing Journal, 2023
Dosam Hwang   +2 more
exaly  

A Survey of Fake News

ACM Computing Surveys, 2021
Xinyi Zhou
exaly  

Home - About - Disclaimer - Privacy