Use of Artificial Neural Networks to Identify Fake Profiles
Abstract
There is a tremendous increase in technologies these days. Mobiles are becoming smart. Technology is associated with online social networks which has become a part in every one’s life in making new friends and keeping friends, their interests are known easier. But this increase in networking online makes many problems like faking their profiles, online impersonation having become more and more in present days. Users are fed with more unnecessary knowledge during surfing which are posted by fake users. Researches have observed that 20% to 40% profiles in online social networks like Facebook are fake profiles. Thus, this detection of fake profiles in online social networks results into solution using frameworks.
How to cite this article:
Jabeen F, Biradar V, Nase G. Use of Artificial Neural Networks to Identify Fake Profiles. J Adv Res Appl Arti Intel Neural Netw 2021; 5(2): 23-27.
References
2. Keynote Speech 2: Detecting fake news and profiling fake news spreaders and conspiracy propagators.
2021 12th International Conference on Information
and Communication Systems (ICICS) Year: 2021.
3. Muñoz SD, Pinto EPG. A dataset for the detection of fake profiles on social networking services. 2020 International Conference on Computational Science and Computational Intelligence (CSCI) Year: 2020.
4. Roy PK, Chahar S. Fake Profile Detection on Social Networking Websites: A Comprehensive Review” IEEE Transactions on Artificial Intelligence Year: 2020; 1(3).
5. Sowmya P, Chatterjee M. Detection of Fake and Clone accounts in Twitter using Classification and Distance Measure Algorithms. 2020.
6. Krishnan P, John D, Aravindhar et al. Finite Automata for Fake Profile Identification in Online Social Networks. 2020. 4th International Conference on Intelligent Computing and Control Systems (ICICCS), 2020.