1,148 research outputs found

    Exploring users’ desire for transparency and control in news recommender systems: A five-nation study

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    As news organizations increasingly adopt AI-driven technologies like news recommender systems (NRS), notions of responsible artificial intelligence (AI) design have attracted significant scholarly and public attention. Particularly, transparency and user control are crucial for the fulfilment of democratic freedoms and human rights. However, users’ desire for such features in NRS has not yet been sufficiently examined. Therefore, this study set out to comparatively examine how individual-level characteristics contribute to the desirability of transparency and user control in NRS across five nations (Netherlands, Poland, Switzerland, United Kingdom, United States; N = 5079). We show that the desire for features of responsible NRS is shaped by individual-level characteristics like NRS-related concerns and algorithmic awareness but does not always manifest equally across different national settings. By considering the audience’s view on features of responsible NRS, our study can be a stepping stone towards responsible journalistic AI

    Exploring Algorithmic Literacy for College Students: An Educator’s Roadmap

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    Research shows that college students are largely unaware of the impact of algorithms on their everyday lives. Also, most university students are not being taught about algorithms as part of the regular curriculum. This exploratory, qualitative study aimed to explore subject-matter experts’ insights and perceptions of the knowledge components, coping behaviors, and pedagogical considerations to aid faculty in teaching algorithmic literacy to college students. Eleven individual, semi-structured interviews and one focus group were conducted with scholars and teachers of critical algorithm studies and related fields. Findings suggested three sets of knowledge components that would contribute to students’ algorithmic literacy: general characteristics and distinguishing traits of algorithms, key domains in everyday life using algorithms (including the potential benefits and risks), and ethical considerations for the use and application of algorithms. Findings also suggested five behaviors that students could use to help them better cope with algorithmic systems and nine teaching strategies to help improve students’ algorithmic literacy. Suggestions also surfaced for alternative forms of assessment, potential placement in the curriculum, and how to distinguish between basic algorithmic awareness compared to algorithmic literacy. Recommendations for expanding on the current Association of College and Research Libraries’ Framework for Information Literacy for Higher Education (2016) to more explicitly include algorithmic literacy were presented

    Privacy Concerns regarding Wearable IoT Devices: How it is Influenced by GDPR?

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    Internet of Things (IoT) devices have implications for health and fitness. Fitness wearables can promote healthy behavior and improve an individual’s overall health and quality of life. Even though fitness wearables have various benefits, privacy concerns regarding the data collected remain as a major barrier to adoption of fitness wearables. Intrinsic factors like disposition to value privacy and extrinsic factors like privacy policies and General Data Protection Regulation (GDPR) can influence users’ privacy concerns. This research uses experimental design to understand how these factors influence privacy concerns. The results suggest that GDPR reduces the average privacy concerns of users. The study also shows that higher perception of effectiveness of privacy policy reduces the perception of privacy risks and increases the perception of privacy control. This study illustrates the effect of users’ perceptions on factors like privacy policy, privacy control and GDPR on mitigating privacy concerns

    Thinking Styles and Privacy Decisions: Need for Cognition, Faith into Intuition, and the Privacy Calculus

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    Investigating cognitive processes that underlie privacy-related decisions, prior research has primarily adopted a privacy calculus view, indicating privacy-related decisions to constitute rational anticipations of risks and benefits connected to data disclosure. Referring to psychological limitations and heuristic thinking, however, recent research has discussed notions of bounded rationality in this context. Adopting this view, the current research argues that privacy decisions are guided by thinking styles, i.e. individual preferences to decide in an either rational or intuitive way. Results of a survey indicated that individuals high in rational thinking, as reflected by a high need for cognition, anticipated and weighed risk and benefits more thoroughly. In contrast, individuals relying on experiential thinking (as reflected by a high faith into intuition) overleaped rational considerations and relied on their hunches rather than a privacy calculus when assessing intentions to disclose information. Theoretical and practical implications of these findings are discussed

    Consumer privacy: understanding the acceptance of consumer information collection

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    Fearsquare: hacking open crime data to critique, jam and subvert the 'aesthetic of danger'

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    We present a critical evaluation of a locative media application, Fearsquare, which provocatively invites users to engage with personally contextualized risk information drawn from the UK open data crime maps cross-referenced with geo-located user check-ins on Foursquare. Our analysis of user data and a corpus of #Fearsquare discourse on Twitter revealed three cogent appraisals ('Affect', 'Technical' and 'Critical') reflecting the salient associations and aesthetics that were made between different components of the application and interwoven issues of technology, risk, danger, emotion by users. We discuss how the varying strength and cogency of these public responses to Fearsquare call for a broader imagining and analysis of how risk and danger are interpreted; and conclude how our findings reveal important challenges for researchers and designers wishing to engage in projects that involve the computer-mediated communication of risk

    Empirical Studies on Online Information Privacy Concerns: Literature Review and an Integrative Framework

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    In the e-commerce environment, individuals’ concerns for online information privacy play critical roles in determining their intention to use the Internet to provide personal information for services and transactions. Understanding this relationship has important implications for e-commerce. Despite much research in this area, an overarching picture of the relationship between information privacy concerns and the antecedent and consequence factors is yet to be drawn. Based on a review on empirical studies in this area, this research summarizes the conceptualizations of privacy concerns and the antecedents and consequences. An integrative framework is developed to illustrate the relationships between the factors. In this framework, a person’s concern for information privacy regarding a specific e-commerce website is distinguished from his/her concern for information privacy regarding the general e-commerce environment. These two forms of privacy concerns have distinct impacts on a person’s online behavior. Their relationships with multiple antecedent and consequence factors are analyzed
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