Abstract
Online fake news can generate a negative impact on both users and society. Due to the concerns with spread of fake news and misinformation, assessing the network influence of online users has become an important issue. This study quantifies the influence of nodes by proposing an algorithm based on information entropy theory. Dynamic process of influence of nodes is characterized on mobile social networks (MSNs). Weibo (i.e., the Chinese version of microblogging) users are chosen to build the real network and quantified influence of them is analyzed according to the model proposed in this paper. MATLAB is employed to simulate and validate the model. Results show the comprehensive influence of nodes increases with the rise of two factors: the number of nodes connected to them and the frequency of their interaction. Indirect influence of nodes becomes stronger than direct influence when the network scope rises. This study can help relevant organizations effectively oversee the spread of online fake news on MSNs.
Highlights
The rapid development of information technology has radically changed the way in which people communicate with each other
We construct a relationship graph to gain a basic understanding of the influence of nodes, and we provide an innovative approach to ranking influential nodes to learn more about the spreading of fake news on mobile social networks (MSNs)
The spread of fake news on MSNs has been shown to have a seriously negative impact on the society. It is crucial for governmental and regulatory units to better manage information transmission, especially the early detection and prevention of fake news spreading on MSNs
Summary
The rapid development of information technology has radically changed the way in which people communicate with each other. Mobile social networks (MSNs) play a crucial role in people’s daily communications, nowadays. A growing number of social network users with similar interests can converse and share information via their mobile devices (Ferreira et al, 2019; Su et al, 2018; Syn & Oh, 2015). According to the latest data from GSMA Intelligence, by the end of 2019, there were 5.19 billion unique mobile phone users in the world, up 100 million from the prior year. Fake news spread on social networks can be distinctively abrupt and extremely fast-spreading, which can adversely affect the normal social order (Chua & Banerjee, 2018). The term “online fake news” refers to “unconfirmed bits of information” in circulation
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
