A Blockchain-based approach for matching desired and real privacy settings of social network users

Lax, Gianluca; Russo, Antonia; Fascì, Lara Saidia

doi:10.1016/j.ins.2021.01.004

Cited by 20 publications

(12 citation statements)

References 31 publications

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“…Proposed Model [45] Model based on security data storage [53] Solution to managing the privacy preferences of a user [55] Autonomous decentralized online social network architecture [59] Blockchain-based data mining methodology [60] A blockchain-based privacy-preserving framework (BPP) [62] An auditable and trustworthy access control structure [65] A hierarchical blockchain-based attribute matching system [68] BCOSN, a blockchain-based Online Social Network [70] A decentralized social networking architecture [71] A blockchain-based model for data storage [76] An autonomous resource request transaction framework [80] Blockchain-enhanced version of social networking (BEV-SNSs) [81] Blockchain-based identity providers [82] A decentralized social network based on Ethereum and IPFS [83] RPchain, a blockchain based academic social networking platform [84] A protocol and authentication with a blockchain algorithm [86] Ushare: a blockchain scheme for social networks Similar to the models proposed for detecting fake content, the models proposed for protecting data use Blockchain-based elements such as smart contracts and consensus algorithms. Dawei Xu et al [45] recommended a novel truthfulness information storing system, CL-BC (Clark-Wilson), which contains a theoretical strategy, initial setting architecture, and comprehensive flux architecture to construct the entree regulator structure of a distributed veracity information storing system and optimize the safety of risks such as over-agreement and illegitimate completion in the storing of information.…”

Section: Referencementioning

confidence: 99%

The Application of Blockchain in Social Media: A Systematic Literature Review

2022

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Social media has transformed the mode of communication globally by providing an extensive system for exchanging ideas, initiating business contracts, and proposing new professional ideas. However, there are many limitations to the use of social media, such as misinformation, lack of effective content moderation, digital piracy, data breaches, identity fraud, and fake news. In order to address these limitations, several studies have introduced the application of Blockchain technology in social media. Blockchains can provides transparency, traceability, tamper-proofing, confidentiality, security, information control, and supervision. This paper is a systematic literature review of papers covering the application of Blockchain technology in social media. To the best of our knowledge, this is the first systematic literature review that elucidates the combination of Blockchain and social media. Using several electronic databases, 42 related papers were reviewed. Our findings show that previous studies on the applications of Blockchain in social media are focused mainly on blocking fake news and enhancing data privacy. Research in this domain began in 2017. This review additionally discusses several challenges in applying Blockchain technologies in social media contexts, and proposes alternative ideas for future implementation and research.

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Section: Referencementioning

confidence: 99%

The Application of Blockchain in Social Media: A Systematic Literature Review

2022

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“…Privacy for the user of a service, in the digital framework, is an issue of transcendental relevance and there are numerous recent research studies that analyze this variable and its impact on the user (Chung et al, 2021;Lax et al, 2021;Pilton et al, 2021;Saura et al, 2021c;Wu et al, 2021). This has led competent authorities to develop specific regulations that allow users to manage their privacy preferences when they log on to a platform (Tamburri, 2020;Curry, 2021).…”

Section: Hypotheses and Research Modelmentioning

confidence: 99%

Evaluation of User Satisfaction and Trust of Review Platforms: Analysis of the Impact of Privacy and E-WOM in the Case of TripAdvisor

2021

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Technological advances have had many advantages like an E-WOM (Electronic Word of Mouth) that has become a very important and powerful tool for users who wish to share their knowledge, experiences and emotions about a product or service. But the use of virtual platforms may affect the privacy of users data. This present study has a twofold objective: first check if the privacy of users when using TripAdvisor, the world’s largest travel platform, has an impact on their satisfaction and trust on the platform. Secondly, the relationship between E-WOM and the variables users trust and satisfaction when using TripAdvisor is examined. In order to achieve the objectives set out, the sample of 390 persons was analyzed. The PLS-SEM method has been used to process the data and test the hypotheses. The results of the analysis have shown that there is a positive and direct relationship between TripAdvisor users’ privacy and satisfaction. The direct and positive relationship between users’ E-WOM and their degree of satisfaction and trust toward the platform has also been confirmed. This study makes a significant contribution to the academic literature on the variables studied, as previous studies presented different results.

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“…Research on online privacy has focused on personal information that can be leaked in an e-commerce environment and online social networks [9]. These days, a massive amount of personal information has been collected and managed online, and it has raised privacy concerns about how to manage these data appropriately [10]. Fast-developing IT technology also causes various types of privacy invasions, which could further increase related incidents.…”

Section: Algorithms For Protecting Online Privacymentioning

confidence: 99%

“…A lot of research has been conducted to determine a method to protect online privacy by developing protection techniques such as differential privacy (DP), which has been introduced to preserve privacy in datasets [15,16]. It is defined as a way of circumventing the problems of an adversary with auxiliary information and provides the level of privacy with superior performance [10]. DP was based on a probability model with a set of conditions that need to be met to guarantee that auxiliary information will not result in a privacy breach [17,18].…”

Section: Algorithms For Protecting Online Privacymentioning

confidence: 99%

“…A new algorithm has recently emerged for lowering error by adapting to properties of the input data, so-called data-dependent algorithms [16]. Pythia proposes a meta-algorithm that does not need to understand valid algorithms or identify the subtle properties of input data [10]. Functional dependency (FD) is based on preserving probabilistic encryption scheme.…”

Section: Algorithms For Protecting Online Privacymentioning

confidence: 99%

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AI Model for Predicting Legal Judgments to Improve Accuracy and Explainability of Online Privacy Invasion Cases

Park

Chai

2021

Applied Sciences

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Since there are growing concerns regarding online privacy, firms may have the risk of being involved in various privacy infringement cases resulting in legal causations. If firms are aware of consequences from possible cases of invasion of online privacy, they can more actively prevent future online privacy infringements. Thus, this study attempts to predict the probability of judgment types caused by various invasions within US judicial cases that are related to online privacy invasions. Since legal judgment results are significantly influenced by societal factors and technological development, this study tries to identify a model that can accurately predict legal judgment with explainability. To archive the study objective, it compares the prediction performance by applying five types of classification algorithms (LDA, NNET, CART, SVM, and random forest) of machine learning. We also examined the relationship between privacy infringement factors and adjudications by applying network text analysis. The results indicate that firms could have a high possibility of both civil and criminal law responsibilities if they distributed malware or spyware, intentionally or non-intentionally, to collect unauthorized data. It addresses the needs of reflecting both quantitative and qualitative approach for establishing automatic legal systems for improving its accuracy based on the socio-technical perspective.

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A Blockchain-based approach for matching desired and real privacy settings of social network users

Cited by 20 publications

References 31 publications

The Application of Blockchain in Social Media: A Systematic Literature Review

The Application of Blockchain in Social Media: A Systematic Literature Review

Evaluation of User Satisfaction and Trust of Review Platforms: Analysis of the Impact of Privacy and E-WOM in the Case of TripAdvisor

AI Model for Predicting Legal Judgments to Improve Accuracy and Explainability of Online Privacy Invasion Cases

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