ITM Web Conf.
Volume 59, 2024II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|Number of page(s)
|Data Mining, Machine Learning and Patern Recognition
|25 January 2024
Developing a machine learning model for fake news detection
Bryansk State Technical University,
* Corresponding author: email@example.com
The article is devoted to the problem of detecting fake news. This issue is relevant nowadays. Fake news paves the way for deceiving people and promoting ideologies. People who provide incorrect information benefit by earning money from the number of interactions with their publications. One of the typical tasks that arise in the process of identifying news is determining whether news belongs to one of two classes, namely the fake news or the real news. With the help of modern methods of machine learning and primary data processing, this problem is effectively solved.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.