A psychologically-inspired fuzzy-based approach for user personality prediction in rumor propagation across social networks

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Fuzzy Systems Pub Date : 2021-01-01 DOI:10.3233/JIFS-189864
V. Indu, S. Thampi
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Abstract

Social networks have emerged as a fertile ground for the spread of rumors and misinformation in recent times. The increased rate of social networking owes to the popularity of social networks among the common people and user personality has been considered as a principal component in predicting individuals’ social media usage patterns. Several studies have been conducted to study the psychological factors influencing the social network usage of people but only a few works have explored the relationship between the user’s personality and their orientation to spread rumors. This research aims to investigate the effect of personality on rumor spread on social networks. In this work, we propose a psychologically-inspired fuzzy-based approach grounded on the Five-Factor Model of behavioral theory to analyze the behavior of people who are highly involved in rumor diffusion and categorize users into the susceptible and resistant group, based on their inclination towards rumor sharing. We conducted our experiments in almost 825 individuals who shared rumor tweets on Twitter related to five different events. Our study ratifies the truth that the personality traits of individuals play a significant role in rumor dissemination and the experimental results prove that users exhibiting a high degree of agreeableness trait are more engaged in rumor sharing activities and the users high in extraversion and openness trait restrain themselves from rumor propagation.
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社交网络谣言传播中基于心理启发的模糊用户个性预测方法
近年来,社交网络已成为传播谣言和错误信息的沃土。社交网络使用率的增加是由于社交网络在普通人中的普及,用户个性被认为是预测个人社交媒体使用模式的主要因素。已经有一些研究对影响人们社交网络使用的心理因素进行了研究,但很少有研究探讨用户的个性与他们传播谣言的倾向之间的关系。本研究旨在探讨人格对社交网络谣言传播的影响。在这项工作中,我们提出了一种基于行为理论五因素模型的基于心理学启发的模糊方法,以分析高度参与谣言传播的人的行为,并根据他们对谣言分享的倾向将用户分为易感组和抵抗组。我们对近825个人进行了实验,他们在推特上分享了与五个不同事件相关的谣言推文。我们的研究证实了个体的人格特质在谣言传播中起着显著的作用,实验结果证明亲和性高的用户更愿意参与谣言分享活动,而外向性和开放性高的用户会抑制谣言传播。
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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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