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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
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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 +1 more source
A Tool for Fake News Detection
2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2018The 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
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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
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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
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
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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
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AI and Fake News: A Conceptual Framework for Fake News Detection
Proceedings of the 2022 International Conference on Cyber Security, 2022Leila Ameli +5 more
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Distributed Architecture for Fake News Detection
2020Countering 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
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Automatic fake news detection on Twitter
2022Nowadays, information is easily accessible online, from articles by reliable news agencies to reports from independent reporters, to extreme views published by unknown individuals. Moreover, social media platforms are becoming increasingly important in everyday life, where users can obtain the latest news and updates, share links to any information ...
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An Integrated Multi-Task Model for Fake News Detection
IEEE Transactions on Knowledge and Data Engineering, 2022Xuan Wang, Xiang Zhang, Ye Ding
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Fake news detection: A survey of graph neural network methods
Applied Soft Computing Journal, 2023Dosam Hwang +2 more
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