Trust-aware privacy control for social media

Li, Na; Razavi, Maryam Najafian; Gillet, Denis

doi:10.1145/1979742.1979814

Cited by 8 publications

(4 citation statements)

References 4 publications

(1 reference statement)

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“…Prior work has shown that privacy policies are often diicult for users to comprehend due to language complexity and inconsistent policy format [59,62,73,87], and the time required to read them [71]. In turn, researchers have thus sought to develop strategies to improve privacy policy accessibility [59,65,68,82,98,100,103,112], and have created tools to aid users in reading and interpreting the policies themselves [50,62,82,94,106,108,111]. Our work, however, most closely relates to analyses of what content privacy policies communicate, e.g., [48,52].…”

Section: Privacy Policy Analysismentioning

confidence: 99%

Privacy Concerns for Visual Assistance Technologies

Stangl

Davis

Xie

et al. 2022

ACM Trans. Access. Comput.

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Section: Privacy Policy Analysismentioning

confidence: 99%

Privacy Concerns for Visual Assistance Technologies

Stangl

Davis

Xie

et al. 2022

ACM Trans. Access. Comput.

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“…The primary role of trust in social networks is described by different levels of perception among users, suggesting that trust in the SNS may cause the response of social network users to the information they find during use and navigation (Hussain and Wegmann, 2021;Zafar et al, 2021). Individuals' perceptions of trust in social networks can attract and keep users' attention to posts, comments, or videos shared through certain social channels or existing profiles/accounts on the network used (Li et al, 2011). Therefore, browsing social networks and the influence they have on their use on individuals depends on their trust in the SNS and will be more substantial for those who have a stronger trust in social networks than for those who show a certain degree of skepticism or distrust of them (Cao et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Overview on Social Media User Behavior during the COVID-19 Pandemic: From Fear of Missing Out and Social Networking Fatigue to Privacy Concerns

Mican

Mihuț

Sterie

et al. 2022

Studia Universitatis Babes-Bolyai Oeconomica

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Social networking sites and social media serve as vital avenues of interaction among people all over the world as well as essential platforms for the distribution of information. Companies, like individuals, embrace social networks as a non-formal way to engage with their customers and suppliers, gather information about their online behavior, and offer personalized content. Both scholars and managers from various organizations looking to increase their competitive edge or market shares have an interest in the impact that social networks have on human behavior. Because of this, the current research seeks to investigate how users perceive a wide range of concepts related to using social networking sites, including fear of missing out (FoMO), social networking fatigue, information and communication overload, ubiquitous connectivity and peer communication, and privacy concerns. The authors also examined users’ intentions to continue using social networking sites despite the COVID-19 outbreak in order to ensure a more thorough understanding of the research topic. The findings aim to provide a better knowledge of how users see interaction on social networks in their daily lives as well as an overview of user perspectives on the terms mentioned above.

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“…Raynes-Goldie [2] defines social privacy of users as "the control of information flow about how and when their personal information is shared with other people". As an example, social privacy can be achieved by introducing a trustaware data sharing mechanism [3]. According to Boyd [4], instrumental privacy is defined as the control of data access by corporations and government, for instance for data analysis or data mining.…”

Section: Introductionmentioning

confidence: 99%

AngeLA: Putting the teacher in control of student privacy in the online classroom

Vozniuk

Govaerts

Bollen

et al. 2014

2014 Information Technology Based Higher Education and Training (ITHET)

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Learning analytics (LA) is often considered as a means to improve learning and learning environments by measuring student behaviour, analysing the tracked data and acting upon the results. The use of LA tools implies recording and processing of student activities conducted on software platforms. This paper proposes a flexible, contextual and intuitive way to provide the teacher with full control over student activity tracking in online learning environments. We call this approach AngeLA, inspired by an angel guarding over LA privacy. AngeLA mimics in a virtual space the privacy control mechanism that works well in a physical room: if a person is present in a room, she is able to observe all activities happening in the room. AngeLA serves two main purposes: (1) it increases the awareness of teachers about the activity tracking and (2) provides an intuitive way to manage the activity tracking permissions. This approach can be applied to various learning environments and social media platforms. We have implemented AngeLA in Graasp, a social platform that fosters collaborative activities.

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Trust-aware privacy control for social media

Cited by 8 publications

References 4 publications

Privacy Concerns for Visual Assistance Technologies

Privacy Concerns for Visual Assistance Technologies

Overview on Social Media User Behavior during the COVID-19 Pandemic: From Fear of Missing Out and Social Networking Fatigue to Privacy Concerns

AngeLA: Putting the teacher in control of student privacy in the online classroom

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