scholarly journals UISTD: A Trust-Aware Model for Diverse Item Personalization in Social Sensing with Lower Privacy Intrusion

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4383 ◽  
Author(s):  
Hongchen Wu ◽  
Mingyang Li ◽  
Huaxiang Zhang
Keyword(s):  
Clustering Algorithm ◽  
Personal Information ◽  
Personal Data ◽  
Privacy Concern ◽  
User Privacy ◽  
Real World Data ◽  
Privacy Concerns ◽  
Social Sensing ◽  
The Core ◽  
Online Social Media

Privacy intrusion has become a major bottleneck for current trust-aware social sensing, since online social media allows anybody to largely disclose their personal information due to the proliferation of the Internet of Things (IoT). State-of-the-art social sensing still suffers from severe privacy threats since it collects users’ personal data and disclosure behaviors, which could raise user privacy concerns due to data integration for personalization. In this paper, we propose a trust-aware model, called the User and Item Similarity Model with Trust in Diverse Kinds (UISTD), to enhance the personalization of social sensing while reducing users’ privacy concerns. UISTD utilizes user-to-user similarities and item-to-item similarities to generate multiple kinds of personalized items with common tags. UISTD also applies a modified k-means clustering algorithm to select the core users among trust relationships, and the core users’ preferences and disclosure behaviors will be regarded as the predicted disclosure pattern. The experimental results on three real-world data sets demonstrate that target users are more likely to: (1) follow the core users’ interests on diverse kinds of items and disclosure behaviors, thereby outperforming the compared methods; and (2) disclose more information with lower intrusion awareness and privacy concern.

scholarly journals Personal information inference from voice recordings: User awareness and privacy concerns

2021 ◽  
Vol 2022 (1) ◽  
pp. 6-27
Author(s):  
Jacob Leon Kröger ◽  
Leon Gellrich ◽  
Sebastian Pape ◽  
Saba Rebecca Brause ◽  
Stefan Ullrich
Keyword(s):  
Geographical Origin ◽  
Personal Information ◽  
Personal Data ◽  
Educational Video ◽  
Privacy Concern ◽  
Physical And Mental Health ◽  
Science Data ◽  
Privacy Concerns ◽  
Nationally Representative ◽  
The Uk

Abstract Through voice characteristics and manner of expression, even seemingly benign voice recordings can reveal sensitive attributes about a recorded speaker (e. g., geographical origin, health status, personality). We conducted a nationally representative survey in the UK (n = 683, 18–69 years) to investigate people’s awareness about the inferential power of voice and speech analysis. Our results show that – while awareness levels vary between different categories of inferred information – there is generally low awareness across all participant demographics, even among participants with professional experience in computer science, data mining, and IT security. For instance, only 18.7% of participants are at least somewhat aware that physical and mental health information can be inferred from voice recordings. Many participants have rarely (28.4%) or never (42.5%) even thought about the possibility of personal information being inferred from speech data. After a short educational video on the topic, participants express only moderate privacy concern. However, based on an analysis of open text responses, unconcerned reactions seem to be largely explained by knowledge gaps about possible data misuses. Watching the educational video lowered participants’ intention to use voice-enabled devices. In discussing the regulatory implications of our findings, we challenge the notion of “informed consent” to data processing. We also argue that inferences about individuals need to be legally recognized as personal data and protected accordingly.

scholarly journals Information Privacy Concerns Among Instagram Users: The Case of Indonesian College Students

2020 ◽  
Vol 6 (2) ◽  
pp. 159
Author(s):  
Eko Wahyu Tyas Darmaningrat ◽  
Hanim Maria Astuti ◽  
Fadhila Alfi
Keyword(s):  
College Students ◽  
Private Information ◽  
Structural Equation ◽  
Personal Information ◽  
Information Privacy ◽  
Risk Awareness ◽  
User Privacy ◽  
Privacy Concerns ◽  
Information Privacy Concerns ◽  
Increased Risk

Background: Teenagers in Indonesia have an open nature and satisfy their desire to exist by uploading photos or videos and writing posts on Instagram. The habit of uploading photos, videos, or writings containing their personal information can be dangerous and potentially cause user privacy problems. Several criminal cases caused by information misuse have occurred in Indonesia.Objective: This paper investigates information privacy concerns among Instagram users in Indonesia, more specifically amongst college students, the largest user group of Instagram in Indonesia.Methods: This study referred to the Internet Users' Information Privacy Concerns (IUIPC) method by collecting data through the distribution of online questionnaires and analyzed the data by using Structural Equation Modelling (SEM).Results: The research finding showed that even though students are mindful of the potential danger of information misuse in Instagram, it does not affect their intention to use Instagram. Other factors that influence Indonesian college students' trust are Instagram's reputation, the number of users who use Instagram, the ease of using Instagram, the skills and knowledge of Indonesian students about Instagram, and the privacy settings that Instagram has.Conclusion: The awareness and concern of Indonesian college students for information privacy will significantly influence the increased risk awareness of information privacy. However, the increase in risk awareness does not directly affect Indonesian college students' behavior to post their private information on Instagram.

scholarly journals Development of Personal Information Privacy Concerns Evaluation

2018 ◽  
pp. 4862-4871
Author(s):  
Anna Rohunen ◽  
Jouni Markkula
Keyword(s):  
Service Providers ◽  
Personal Information ◽  
Personal Data ◽  
Future Research ◽  
Privacy Concerns ◽  
The Public ◽  
Data Intensive ◽  
Information Privacy Concerns ◽  
Evaluation Instruments ◽  
Information And Communication

Personal data is increasingly collected with the support of rapidly advancing information and communication technology, which raises privacy concerns among data subjects. In order to address these concerns and offer the full benefits of personal data intensive services to the public, service providers need to understand how to evaluate privacy concerns in evolving service contexts. By analyzing the earlier used privacy concerns evaluation instruments, we can learn how to adapt them to new contexts. In this article, the historical development of the most widely used privacy concerns evaluation instruments is presented and analyzed regarding privacy concerns' dimensions. Privacy concerns' core dimensions, and the types of context dependent dimensions, to be incorporated into evaluation instruments are identified. Following this, recommendations on how to utilize the existing evaluation instruments are given, as well as suggestions for future research dealing with validation and standardization of the instruments.

Will it be Disclosure or Fabrication of Personal Information?

2010 ◽  
pp. 231-254 ◽  
Author(s):  
Xun Li ◽  
Radhika Santhanam
Keyword(s):  
Personal Information ◽  
Personal Data ◽  
Job Applicants ◽  
Accurate Information ◽  
Hiring Decisions ◽  
Job Applicant ◽  
Privacy Concerns ◽  
Willingness To Disclose ◽  
Information Sensitivity ◽  
Theoretical Foundations

Individuals are increasingly reluctant to disclose personal data and sometimes even intentionally fabricate information to avoid the risk of having it compromised. In this context, organizations face an acute dilemma: they must obtain accurate job applicant information in order to make good hiring decisions, but potential employees may be reluctant to provide accurate information because they fear it could be used for other purposes. Building on theoretical foundations from social cognition and persuasion theory, we propose that, depending on levels of privacy concerns, organizations could use appropriate strategies to persuade job applicants to provide accurate information. We conducted a laboratory experiment to examine the effects of two different persuasion strategies on prospective employees’ willingness to disclose information, measured as their intentions to disclose or falsify information. Our results show support for our suggestion As part of this study, we propose the term information sensitivity to identify the types of personal information that potential employees are most reluctant to disclose.

Privacy Concerns and Consumer Willingness to Provide Personal Information

2000 ◽  
Vol 19 (1) ◽  
pp. 27-41 ◽  
Author(s):  
Joseph Phelps ◽  
Glen Nowak ◽  
Elizabeth Ferrell
Keyword(s):  
Public Policy ◽  
Personal Information ◽  
Direct Marketing ◽  
Personal Data ◽  
Privacy Concerns ◽  
Consumer Privacy ◽  
Trade Offs ◽  
Situational Characteristics ◽  
Information Type

The authors examine potential relationships among categories of personal information, beliefs about direct marketing, situational characteristics, specific privacy concerns, and consumers’ direct marketing shopping habits. Furthermore, the authors offer an assessment of the trade-offs consumers are willing to make when they exchange personal information for shopping benefits. The findings indicate that public policy and self-regulatory efforts to alleviate consumer privacy concerns should provide consumers with more control over the initial gathering and subsequent dissemination of personal information. Such efforts must also consider the type of information sought, because consumer concern and willingness to provide marketers with personal data vary dramatically by information type.

scholarly journals That’s Private! Understanding Travelers’ Privacy Concerns and Online Data Disclosure

2020 ◽  
pp. 004728752095164
Author(s):  
Athina Ioannou ◽  
Iis Tussyadiah ◽  
Graham Miller
Keyword(s):  
Data Privacy ◽  
Personal Information ◽  
Empirical Studies ◽  
Personal Data ◽  
Tourism Industry ◽  
Online Data ◽  
Biometric Data ◽  
Identity Verification ◽  
Privacy Concerns ◽  
Travel And Tourism

Against the backdrop of advancements in technology and its deployment by companies and governments to collect sensitive personal information, information privacy has become an issue of great interest for academics, practitioners, and the general public. The travel and tourism industry has been pioneering the collection and use of biometric data for identity verification. Yet, privacy research focusing on the travel context is scarce. This study developed a valid measurement of Travelers’ Online Privacy Concerns (TOPC) through a series of empirical studies: pilot ( n=277) and cross-validation ( n=287). TOPC was then assessed for its predictive validity in its relationships with trust, risk, and intention to disclose four types of personal data: biometric, identifiers, biographic, and behavioral data ( n=685). Results highlight the role of trust in mitigating the relationship between travelers’ privacy concerns and data disclosure. This study provides valuable contribution to research and practice on data privacy in travel.

scholarly journals Silent Listeners: The Evolution of Privacy and Disclosure on Facebook

2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Fred Stutzman ◽  
Ralph Gross ◽  
Alessandro Acquisti
Keyword(s):  
Social Network ◽  
Personal Information ◽  
Social Network Sites ◽  
Personal Data ◽  
Extended Period ◽  
Third Party ◽  
Privacy Concerns ◽  
Trade Offs ◽  
Seeking Behavior ◽  
Over Time

Over the past decade, social network sites have experienced dramatic growth in popularity, reaching most demographics and providing new opportunities for interaction and socialization. Through this growth, users have been challenged to manage novel privacy concerns and balance nuanced trade-offs between disclosing and withholding personal information. To date, however, no study has documented how privacy and disclosure evolved on social network sites over an extended period of time. In this manuscript we use profile data from a longitudinal panel of 5,076 Facebook users to understand how their privacy and disclosure behavior changed between 2005---the early days of the network---and 2011. Our analysis highlights three contrasting trends. First, over time Facebook users in our dataset exhibited increasingly privacy-seeking behavior, progressively decreasing the amount of personal data shared publicly with unconnected profiles in the same network. However, and second, changes implemented by Facebook near the end of the period of time under our observation arrested or in some cases inverted that trend. Third, the amount and scope of personal information that Facebook users revealed privately to other connected profiles actually increased over time---and because of that, so did disclosures to ``silent listeners'' on the network: Facebook itself, third-party apps, and (indirectly) advertisers. These findings highlight the tension between privacy choices as expressions of individual subjective preferences, and the role of the environment in shaping those choices.

scholarly journals Privacy in mobile learning applications: user privacy concerns and implications of applying privacy by design approach

2021 ◽  
Author(s):  
Daria Ilkina
Keyword(s):  
Mobile Learning ◽  
Personal Information ◽  
Third Parties ◽  
Design Approach ◽  
Privacy By Design ◽  
User Privacy ◽  
Privacy Policies ◽  
Privacy Concerns ◽  
The Government ◽  
Privacy Risks

This thesis investigates the privacy risks that m-learning app users face by identifying the personal information that m-learning apps collect from their users, and the privacy policies of these apps. It reveals that most of the m-learning applications have similar privacy policies, which seem to protect the interest of the providers rather than the users. The Privacy by Design framework is reviewed to determine whether it can help the developers address user privacy practices. The results from the sample of 260 participants suggest that users are less concerned with the collection of personal information that is non-identifiable. The survey also revealed that the users are more concerned when an app shares their personal information with third parties for commercial purposes than when it is shared with the government.

scholarly journals Development of Personal Information Privacy Concerns Evaluation

2019 ◽  
pp. 180-190
Author(s):  
Anna Rohunen ◽  
Jouni Markkula
Keyword(s):  
Service Providers ◽  
Personal Information ◽  
Personal Data ◽  
Future Research ◽  
Privacy Concerns ◽  
The Public ◽  
Data Intensive ◽  
Information Privacy Concerns ◽  
Evaluation Instruments ◽  
Information And Communication

Personal data is increasingly collected with the support of rapidly advancing information and communication technology, which raises privacy concerns among data subjects. In order to address these concerns and offer the full benefits of personal data-intensive services to the public, service providers need to understand how to evaluate privacy concerns in evolving service contexts. By analyzing the earlier privacy concerns evaluation instruments, we can learn how to adapt them to new contexts. In this chapter, the historical development of the most widely used privacy concerns evaluation instruments is presented and analyzed regarding privacy concerns' dimensions. Privacy concerns' core dimensions and the types of context dependent dimensions to be incorporated into evaluation instruments are identified. Following this, recommendations on how to utilize the existing evaluation instruments are given, as well as suggestions for future research dealing with validation and standardization of the instruments.

scholarly journals The role of personal data value, culture and self-construal in online privacy behaviour

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253568
Author(s):  
Piers Fleming ◽  
Andrew P. Bayliss ◽  
S. Gareth Edwards ◽  
Charles R. Seger
Keyword(s):  
Personal Information ◽  
Personal Data ◽  
Privacy Concern ◽  
Cross Cultural Differences ◽  
Digital World ◽  
Potential Association ◽  
Data Value ◽  
Self Construal ◽  
Group Memberships

Personal data is ubiquitous in the digital world, can be highly valuable in aggregate, and can lead to unintended intrusions for the data creator. However, individuals’ expressions of concern about exposure of their personal information are generally not matched by their behavioural caution. One reason for this mismatch could be the varied and intangible value of personal data. We present three studies investigating the potential association between personal data value and privacy behaviour, assessing both individual and cross-cultural differences in personal data valuation, comparing collectivist and individualistic cultures. Study 1a, using a representative UK sample, found no relationship between personal data value and privacy behaviour. However, Study 1b found Indian (collectivist) participants’ privacy behaviour was sensitive to personal data value, unlike US (individualist) participants. Study 2 showed that in a UK sample, privacy behaviour was sensitive to personal data value but only for individuals who think of themselves as more similar to others (i.e., self-construe as similar, rather than different). We suggest those who prioritise group memberships are more sensitive to unintentional disclosure harm and therefore behave in accordance with personal data valuations—which informs the privacy concern-behaviour relationship. Our findings can suggest approaches to encourage privacy behaviours.

Sign in / Sign up

Export Citation Format

Share Document