The Role of Sentiment Analysis and Data Mining Solutions in the Study of Fake News and Countering Disinformation
The Role of Sentiment Analysis and Data Mining Solutions in the Study of Fake News and Countering Disinformation
Author(s): Constantin BălanSubject(s): Media studies, Security and defense, Politics and communication, Theory of Communication, ICT Information and Communications Technologies
Published by: Centrul tehnic-editorial al armatei
Keywords: mass-media; trolling; fake news; sentiment analysis; public opinion;
Summary/Abstract: The proposed article highlights the importance of studying the phenomenon of fake news spreading based on sentiment analysis solutions (use of natural language processing techniques) and data mining (obtaining relevant information from the study of data), given the diversification and travel speed of these types of news, as well as the need to implement mechanisms to assist us, in a first stage, in gaining a thorough understanding of them and, subsequently, in taking the necessary steps to limit the spread of the phenomenon. The method of qualitative analysis of specialised studies was used for this article.
Journal: Romanian Military Thinking
- Issue Year: 2021
- Issue No: 3
- Page Range: 212-227
- Page Count: 16
- Language: English
