Minimizing the spread of misinformation in online social networks: A survey

Zareie, Ahmad; Sakellariou, Rizos

doi:10.1016/j.jnca.2021.103094

Cited by 53 publications

(25 citation statements)

References 94 publications

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“…Influence blocking strategy functions by blocking critical nodes or edges in the spread of misinformation to minimize the flow of misinformation ( Wu and Pan, 2017 , Yang et al, 2018 ). And truth campaigns strategy select the optimal seed nodes to diffuse the truth information to influence users’ awareness and reduce the proliferation of misinformation ( Zareie & Sakellariou, 2021 ). The latter strategy is related to the focus of this paper: the dissemination of misinformation correction, so the methods of truth campaigns are elaborated here.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic

Zhang

Guo

Ding

et al. 2022

Information Processing & Management

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Section: Literature Reviewmentioning

confidence: 99%

Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic

Zhang

Guo

Ding

et al. 2022

Information Processing & Management

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“…Influence maximization and minimization are the leading research topic under Information cascade in the Social network domain [16]. The influence minimization problem reduces the rumor disinformation by blocking nodes from a topic modeling perspective [44].…”

Section: Related Workmentioning

confidence: 99%

“…Another approach is the minimization of rumor spreading by considering user experience dynamically [39], [27]. The method is to plug off a subset of the nodes to block malicious rumors.…”

Section: Related Workmentioning

confidence: 99%

Influence Minimization With Node Surveillance in Online Social Networks

Cheriyan

Nair

2022

IEEE Access

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Diffusion dynamics is the transfer of information from one node to another. Information diffusion has two goals: maximize or minimize information spread over the network. Attractive information such as innovations, awareness campaigns, branding, and advertising help people positively. However, awful information such as rumors, malicious viruses, pornography, and revenge disturb people. The negative information contributes to chaos; therefore, it must be blocked and inhibited from further diffusion. We are motivated to study the problem, namely Influence Minimization. The new information alters the energy level or entropy associated with a node. Entropy quantifies the influence propagation rate across the network. This article proposes two reduction policies that reduce repulsive information's influence through entropy. We validate the proposed system by considering the user response and surveillance on real-time networks.

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“…Although Online Social Networks (OSNs) provide a great convenience for people to interact andoften serve as a platform for countries to release critical decisions during disastrous events ( Ngamassi et al, 2016 ; Subramaniyaswamy et al, 2017 ), it also speeds up the spread of misinformation, such as rumors, in an unprecedented short time ( Islam et al, 2020 ), and thus threaten public order and social stability ( McKee et al, 2019 ). How to clarify and control online rumors has attracted significant attention from the research community ( Hosni et al, 2020b ; Wang X. et al, 2021 ; Zareie and Sakellariou, 2021 ; Agarwal et al, 2022 ; Yao et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…Over the past few years, numerous studies have characterized the propagation, detection, and control of rumors in OSNs ( Ahsan et al, 2019 ; Askarizadeh and Ladani, 2021 ; Zareie and Sakellariou, 2021 ). Specifically, Vosoughi et al (2018) found that compared with real news, false rumors have the characteristics of more novelty, faster propagation speed, and greater influence.…”

Section: Introductionmentioning

confidence: 99%

Interaction between official institutions and influential users of rumor control in online social networks

Bai

Jiang

2022

Front. Psychol.

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Online interactions have become major channels for people to obtain and disseminate information during the new normal of COVID-19, which can also be a primary platform for rumor propagation. There are many complex psychological reasons for spreading rumors, but previous studies have not fully analyzed this problem from the perspective of the interaction between official institutions and influential users. The purpose of this study is to determine optimal strategies for official institutions considering the impact of two different influential user types (trolls and reputed personalities) by designing two game-theoretic models, namely “Rumor Clarification and Interaction Model” and “Rumor Verification and Interaction Model,” which can, respectively decide whether to clarify and when to clarify. The results of this article show that clarification strategies can be decided according to the characteristics of rumors and the influential user’s reactions. Meanwhile, publishing verified information prevents trolls’ “loophole advantages” and prevents reputed personalities from spreading false information due to the vague authenticity of rumors. Results also show that the verification strategy is limited by cost, period, and verification index.

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Minimizing the spread of misinformation in online social networks: A survey

Cited by 53 publications

References 94 publications

Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic

Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic

Influence Minimization With Node Surveillance in Online Social Networks

Interaction between official institutions and influential users of rumor control in online social networks

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