Informed Consent to Address Trust, Control, and Privacy Concerns in User Profiling

More and more, services and products are being personalised or\ud tailored, based on user-related data stored in so called user profiles or user\ud models. Although user profiling offers great benefits for both organisations and\ud users, there are several psychological factors hindering the potential success of user profiling. The most important factors are trust, control and privacy\ud concerns. This paper presents informed consent as a means to address the\ud hurdles trust, control, and privacy concerns pose to user profiling

Effects of perceived privacy protection: does reading privacy notices matter?

Many consumers do not read privacy notices despite the fact that websites post privacy notices to address consumers\u27 long-standing concerns about privacy protection on the internet. To understand why consumers do not read privacy notices and the impact of reading (or not reading) privacy notices on the found effect of privacy notices, data were collected from 137 readers of privacy notices and 97 non-readers of privacy notices. This research\u27s test of the moderating effects of reading (or not reading) privacy notices found that perceived privacy protection positively affected trust and negatively affected perceived information risk and that the negative effect of perceived privacy protection on perceived information risk became stronger for privacy notice readers. This research also developed a typology of reasons why consumers read and do not read privacy notices

EXPLORING THE IMPACT OF READABILITY OF PRIVACY POLICIES ON USERS’ TRUST

Empirical studies have repeatedly pointed out that the readability of a privacy policy is a potential source of trust of online users. Nevertheless, many online companies still keep the readability of their privacy policies at a low level. This could possibly coincide with a low compliance of their privacy policies with the guidelines of fair information practices and thus with users’ privacy expectations. Against this background, this study seeks to clarify the role of perceived and actual readability of us-er-friendly and -unfriendly privacy policies in shaping user’s trust in a mobile service provider. Tested for two different mobile service scenarios that differ in the sensitivity of user data (educational enter-tainment app vs. health app), our hypotheses are verified based on the responses of 539 online users. Our findings reveal that in the case of a user-unfriendly data-handling policy, the effect of actual readability of a privacy policy outweighs the effect of its perceived readability in forming users’ trust. At the same time, for a user-friendly privacy policy, only perceived readability plays a significant role in promoting users’ trust in the provider of an educational entertainment app. In a sensitive healthcare context, however, perceived and actual readability of privacy policies are almost equally important

Privacy Policies and Users’ Trust: Does Readability Matter?

Over the years, a drastic increase in online information disclosure spurs a wave of concerns from multiple stakeholders. Among others, users resent the “behind the closed doors” processing of their personal data by companies. Privacy policies are supposed to inform users how their personal information is handled by a website. However, several studies have shown that users rarely read privacy policies for various reasons, not least because limitedly readable policy texts are difficult to understand. Based on our online survey with over 440 responses, we examine the objective and subjective readability of privacy policies and investigate their impact on users’ trust in five big Internet services. Our findings show the stronger a user believes in having understood the privacy policy, the higher he or she trusts a web site across all companies we studied. Our results call for making readability of privacy policies more accessible to an average reader

Examining audience perceptions and role of cookies in select news websites in Kenya: a case of nation Africa and the standard

This thesis investigates the audience perceptions and the role of cookies in the user experience of selected news websites in Kenya. In an era dominated by digital media consumption, understanding how users interact with online news platforms is crucial for media practitioners and technology developers. The study focuses on the Kenyan context, exploring the unique dynamics that shape user engagement with news content and the impact of cookies on their online experience. The research employed a mixed-methods approach, combining a quantitative survey focused on audience perceptions of cookies and interactions with cookie consent notices and in-depth interviews with commercial website developers. Through in-depth interviews, the study aims to capture the perspectives of commercial website developers on cookie applications on news websites. Concurrently, the analysis of cookies – small pieces of data stored on users\u27 devices provides insights into the technological mechanisms employed by news websites to enhance user experience, personalize content, and facilitate targeted advertising. Key objectives include understanding how users perceive the credibility and trustworthiness of news websites, assessing the role of personalized content in shaping user engagement and examining the implications of cookie usage on privacy concerns. The research also explores the potential trade-offs between personalized content delivery and user privacy within the Kenyan online news landscape. The findings of this study contribute to the fields of media studies, digital journalism, and user experience design. By shedding light on audience perceptions and the impact of cookies on news consumption in Kenya, this research offers practical insights for media organizations, web developers, and policymakers seeking to enhance the online news experience while respecting user privacy. In conclusion, this thesis provides a comprehensive analysis of audience perceptions and the role of cookies in selected news websites in Kenya. The research contributes to a nuanced understanding of the evolving dynamics between media consumption, technology, and user privacy in the digital age by bridging the gap between user perspectives and technological practices

Do Mobile App Providers Try Enough to Protect Users’ Privacy? – a Content Analysis of Mobile App Privacy Policies

Privacy policies are widely used to draw clear image of risks to users’ personal information in different contexts such as mobile apps. Nonetheless, many believe privacy policies are ineffective tools to notify and aware users about possible risks to information privacy merely because most users have a very low tendency to go through privacy policies to read and comprehend them. Due to intimacy of mobile apps, much of personal information disclosed to them are at risk. Specially, when mobile app users share sensitive personal information to apps chance of privacy violation and consequent risks are higher. It is not only important to understand how mobile developers practically implement a contract to protect users’ privacy based on users’ preferences but also crucial to examine the role of sensitivity of information on developers’ emphasis on different aspects of privacy. This research focuses on two aspects to understand the circumstance users experience when privacy policies are presented: efforts users have to make to read and understand privacy policies in terms of readability and length of statements, and developers’ emphasis on aspects of information privacy with respect to sensitivity of information. To elucidate easiness of reading privacy policy statements, readability and length are calculated. Through the lens of framing concept of prospect theory, this study investigates the information sensitivity level effect on developers’ emphasis on privacy dimensions. Three mobile app categories deal with different levels of sensitive data are health, navigation, and game apps. To differentiate between emphasis on different privacy dimensions when information sensitivity differs, a text mining method is developed in R to analyze the weights of four key privacy dimensions (collection, secondary use, improper access, and error). We downloaded 90 unique mobile app privacy policies. Readability calculations reveal that users should have a minimum of 12 years of secondary education to easily understand privacy policies. The average length of privacy policies is at least 1900 words, which hinders a thorough reading. ANOVA results show a significant difference between secondary uses of information in app privacy policies dealing with higher sensitive data. In addition, the findings demonstrate collection is more emphasized in health than game app privacy policies but do not find any significant difference between improper access dimensions. This study has made two key contributions. First, by building upon the framing concept of prospect theory, this research provides an effective framework to understand the organizational perspective of privacy concerns. Second, the results demonstrate the information sensitivity level is important for measuring privacy concerns

Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness

Retailers gather data about customers' online behavior to develop personalized service offers. Greater personalization typically increases service relevance and customer adoption, but paradoxically, it also may increase customers' sense of vulnerability and lower adoption rates. To demonstrate this contradiction, an exploratory field study on Facebook and secondary data about a personalized advertising campaign indicate sharp drops in click-through rates when customers realize their personal information has been collected without their consent. To investigate the personalization paradox, this study uses three experiments that confirm a firm's strategy for collecting information from social media websites is a crucial determinant of how customers react to online personalized advertising. When firms engage in overt information collection, participants exhibit greater click-through intentions in response to more personalized advertisements, in contrast with their reactions when firms collect information covertly. This effect reflects the feelings of vulnerability that consumers experience when firms undertake covert information collection strategies. Trust-building marketing strategies that transfer trust from another website or signal trust with informational cues can offset this negative effect. These studies help unravel the personalization paradox by explicating the role of information collection and its impact on vulnerability and click-through rates

Evaluating the End-User Experience of Private Browsing Mode

Nowadays, all major web browsers have a private browsing mode. However, the mode's benefits and limitations are not particularly understood. Through the use of survey studies, prior work has found that most users are either unaware of private browsing or do not use it. Further, those who do use private browsing generally have misconceptions about what protection it provides. However, prior work has not investigated \emph{why} users misunderstand the benefits and limitations of private browsing. In this work, we do so by designing and conducting a three-part study: (1) an analytical approach combining cognitive walkthrough and heuristic evaluation to inspect the user interface of private mode in different browsers; (2) a qualitative, interview-based study to explore users' mental models of private browsing and its security goals; (3) a participatory design study to investigate why existing browser disclosures, the in-browser explanations of private browsing mode, do not communicate the security goals of private browsing to users. Participants critiqued the browser disclosures of three web browsers: Brave, Firefox, and Google Chrome, and then designed new ones. We find that the user interface of private mode in different web browsers violates several well-established design guidelines and heuristics. Further, most participants had incorrect mental models of private browsing, influencing their understanding and usage of private mode. Additionally, we find that existing browser disclosures are not only vague, but also misleading. None of the three studied browser disclosures communicates or explains the primary security goal of private browsing. Drawing from the results of our user study, we extract a set of design recommendations that we encourage browser designers to validate, in order to design more effective and informative browser disclosures related to private mode