A Novel Approach for Detection of Fake News on Social Media Using Metaheuristic Optimization Algorithms

Deceptive content is becoming increasingly dangerous, such as fake news created by social media users. Individuals and society have been affected negatively by the spread of low-quality news on social media. The fake and real news needs to be detected to eliminate the disadvantages of social media....

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Vydáno v:Elektronika ir elektrotechnika Ročník 25; číslo 4; s. 62 - 67
Hlavní autoři: Altunbey Ozbay, Feyza, Alatas, Bilal
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kaunas University of Technology 07.08.2019
Kaunas University of Technology, Faculty of Telecommunications and Electronics
Témata:
Algorithms
Artificial intelligence
classification algorithms
data analysis
Data mining
Disinformation
Information management
Novels
optimization methods
Optimization theory
Social media
text mining
Text mining
Data analysis
Classification algorithms
Optimization methods
ISSN:1392-1215, 2029-5731
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Shrnutí:Deceptive content is becoming increasingly dangerous, such as fake news created by social media users. Individuals and society have been affected negatively by the spread of low-quality news on social media. The fake and real news needs to be detected to eliminate the disadvantages of social media. This paper proposes a novel approach for fake news detection (FND) problem on social media. Applying this approach, FND problem has been considered as an optimization problem for the first time and two metaheuristic algorithms, the Grey Wolf Optimization (GWO) and Salp Swarm Optimization (SSO) have been adapted to the FND problem for the first time as well. The proposed FND approach consists of three stages. The first stage is data preprocessing. The second stage is adapting GWO and SSO for construction of a novel FND model. The last stage consists of using proposed FND model for testing. The proposed approach has been evaluated using three different real-world datasets. The results have been compared with seven supervised artificial intelligence algorithms. The results show GWO algorithm has the best performance in comparison with SSO algorithm and the other artificial intelligence algorithms. GWO seems to be efficiently used for solving different types of social media problems.
ISSN:1392-1215
2029-5731
DOI:10.5755/j01.eie.25.4.23972