Developing a machine learning model for fake news detection
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/02/itmconf_hmmocs2023_03001.pdf |
| Summary: | 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. |
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| ISSN: | 2271-2097 |