Search results

The purpose of this paper is to contribute to a better understanding of governance choice in the area of algorithmic selection. Algorithms on the Internet shape our daily lives and realities. They select information, automatically assign relevance to them and keep people from drowning in an information flood. The benefits of algorithms are accompanied by risks and governance challenges.

Based on empirical case analyses and a review of the literature, the paper chooses a risk-based governance approach. It identifies and categorizes applications of algorithmic selection and attendant risks. Then, it explores the range of institutional governance options and discusses applied and proposed governance measures for algorithmic selection and the limitations of governance options.

Analyses reveal that there are no one-size-fits-all solutions for the governance of algorithms. Attention has to shift to multi-dimensional solutions and combinations of governance measures that mutually enable and complement each other. Limited knowledge about the developments of markets, risks and the effects of governance interventions hampers the choice of an adequate governance mix. Uncertainties call for risk and technology assessment to strengthen the foundations for evidence-based governance.

The paper furthers the understanding of governance choice in the area of algorithmic selection with a structured synopsis on rationales, options and limitations for the governance of algorithms. It provides a functional typology of applications of algorithmic selection, a comprehensive overview of the risks of algorithmic selection and a systematic discussion of governance options and its limitations.

The purpose of this study is to introduce a comprehensive and dynamic framework that focuses on the role of algorithms in persuasive communication: the algorithmic persuasion framework (APF).

In this increasingly data-driven media landscape, algorithms play an important role in the consumption of online content. This paper presents a novel conceptual framework to investigate algorithm-mediated persuasion processes and their effects on online communication.

The APF consists of five conceptual components: input, algorithm, persuasion attempt, persuasion process and persuasion effects. In short, it addresses how data variables are inputs for different algorithmic techniques and algorithmic objectives, which influence the manifestations of algorithm-mediated persuasion attempts, informing how such attempts are processed and their intended and unintended persuasive effects.

The paper guides future research by addressing key elements in the framework and the relationship between them, proposing a research agenda (with specific research questions and hypotheses) and discussing methodological challenges and opportunities for the future investigation of the framework.

The shift to the fourth industrial revolution presents new sustainable development challenges. The externalities of the second and third industrial revolutions were related to the degradation of the biosphere. It is suggested that the externalities of the fourth industrial revolution, underpinned by artificial intelligence, are extending the repertoire of externalities to include the degradation and manipulation of cognition and by extension the fabric of society. The implications for South Africa’s transformation within the fourth industrial revolution are highlighted. It is shown that digital nudging and choice architecture are tools that are capable of maximising profit while externalising social value through the algorithmic manipulation of our decision-making processes. The case for an alternative explanatory framework is presented because the limitations of the prevailing conception of physical reality appear unable to adequately resolve these super-wicked problems. Constructor theory is introduced as an alternative explanatory framework, and the constructor-theoretic conception is suggested as an ontological framework that will provide better explanations. Some principles of the theory are introduced.

This study aims to discover the legal borderline between licit online marketing and illicit privacy-intrusive and manipulative marketing, considering in particular consumers’ expectations of privacy.

A doctrinal legal research methodology is applied throughout with reference to the relevant legislative frameworks. In particular, this study analyzes the European Union (EU) data protection law [General Data Protection Regulation (GDPR)] framework (as it is one of the most advanced privacy laws in the world, with strong extra-territorial impact in other countries and consequent risks of high fines), as compared to privacy scholarship on the field and extract a compliance framework for marketers.

The GDPR is a solid compliance framework that can help to distinguish licit marketing from illicit one. It brings clarity through four legal tests: fairness test, lawfulness test, significant effect test and the high-risk test. The performance of these tests can be beneficial to consumers and marketers in particular considering that meeting consumers’ expectation of privacy can enhance their trust. A solution for marketers to respect and leverage consumers’ privacy expectations is twofold: enhancing critical transparency and avoiding the exploitation of individual vulnerabilities.

This study is limited to the European legal framework scenario and to theoretical analysis. Further research is necessary to investigate other legal frameworks and to prove this model in practice, measuring not only the consumers’ expectation of privacy in different contexts but also the practical managerial implications of the four GDPR tests for marketers.

This study originally contextualizes the most recent privacy scholarship on online manipulation within the EU legal framework, proposing an easy and accessible four-step test and twofold solution for marketers. Such a test might be beneficial both for marketers and for consumers’ expectations of privacy.

This study aims to identify and assess the key ethical challenges associated with integrating artificial intelligence (AI) in knowledge-sharing (KS) practices and their implications for decision-making (DM) processes within organisations.

The study employs a mixed-methods approach, beginning with a comprehensive literature review to extract background information on AI and KS and to identify potential ethical challenges. Subsequently, a confirmatory factor analysis (CFA) is conducted using data collected from individuals employed in business settings to validate the challenges identified in the literature and assess their impact on DM processes.

The findings reveal that challenges related to privacy and data protection, bias and fairness and transparency and explainability are particularly significant in DM. Moreover, challenges related to accountability and responsibility and the impact of AI on employment also show relatively high coefficients, highlighting their importance in the DM process. In contrast, challenges such as intellectual property and ownership, algorithmic manipulation and global governance and regulation are found to be less central to the DM process.

This research contributes to the ongoing discourse on the ethical challenges of AI in knowledge management (KM) and DM within organisations. By providing insights and recommendations for researchers, managers and policymakers, the study emphasises the need for a holistic and collaborative approach to harness the benefits of AI technologies whilst mitigating their associated risks.

The purpose of this paper is to examine how the shifting conceptualization of the democratizing potential of digital technology can be more comprehensively understood by bringing in science and technology studies (STS) perspectives to communication scholarship. The synthesis and discussion are aiming at providing an interdisciplinary theoretical framework for comprehensively understand the democratizing potential of digital technology, and urging researchers to be conscious of assumptions underpinning epistemological positions they take when examining the issue of democratizing potential of digital technology.

The paper is a constructive literature review that synthesizes and integrates existed literature from communication and STS on the democratizing potential of digital technology. The author attempts to bridge theoretical perspectives from communication and STS by identifying core arguments and debates around key concepts and discussing potential implications of different epistemological positions.

Tracing the evolving analytical perspectives of technological determinism, the social construction of technology and actor-network theory, the author argues that researchers should be aware of their underlying epistemological assumptions embedded in relationships among users, technological systems and social factors. Analyzing the contested notion of power in the democratizing potential of digital technology from two contrasting perspectives, the author argues that researchers should recognize both the front end and the back end of digital technology in their analysis. In addition, new challenges of algorithm opacity and accountability in impacting the democratizing potential of digital technology are further discussed.

This study provides an original interdisciplinary theoretical framework by reviewing and bridging scholarship from communication and STS in examining the democratizing potential of digital technology. Adopting this interdisciplinary theoretical framework helps researchers develop a more nuanced and comprehensive understanding of the democratizing potential of digital technology.

Seeks to argue that procedural literacy, of which programming is a part, is critically important for new media scholars and practitioners and that its opposite, procedural illiteracy, leaves one fundamentally unable to grapple with the essence of computational media.

This paper looks at one of the earliest historical calls for universal procedural literacy, explores how games can serve as an ideal object around which to organize a procedural literacy curriculum, and describes a graduate course developed at Georgia Tech, Computation as an Expressive Medium, designed to be a first course in procedural literacy for new media practitioners.

To achieve a broader and more profound procedural literacy will require developing an extended curriculum that starts in elementary school and continues through college. Encountering procedurality for the first time in a graduate level course is like a first language course in which students are asked to learn the grammar and vocabulary, read and comment on literature, and write short stories, all in one semester; one's own students would certainly agree that this is a challenging proposition.

New media scholars and practitioners, including game designers and game studies scholars, may assume that the “mere” technical details of code can be safely bracketed out of the consideration of the artifact. Contrary to this view, it is argued that procedural literacy, of which programming is a part, is critically important for new media scholars and practitioners and that its opposite, procedural illiteracy, leaves one fundamentally unable to grapple with the essence of computational media.

This article is a contribution to the development of a comprehensive interdisciplinary theory of LIS in the hope of giving a more precise evaluation of its current problems. The article describes an interdisciplinary framework for lis, especially information retrieval (IR), in a way that goes beyond the cognitivist ‘information processing paradigm’. The main problem of this paradigm is that its concept of information and language does not deal in a systematic way with how social and cultural dynamics set the contexts that determine the meaning of those signs and words that are the basic tools for the organisation and retrieving of documents in LIS. The paradigm does not distinguish clearly enough between how the computer manipulates signs and how librarians work with meaning in practice when they design and run document mediating systems. The ‘cognitive viewpoint’ of Ingwersen and Belkin makes clear that information is not objective, but rather only potential, until it is interpreted by an individual mind with its own internal mental world view and purposes. It facilitates further study of the social pragmatic conditions for the interpretation of concepts. This approach is not yet fully developed. The domain analytic paradigm of Hjørland and Albrechtsen is a conceptual realisation of an important aspect of this area. In the present paper we make a further development of a non‐reductionistic and interdisciplinary view of information and human social communication by texts in the light of second‐order cybernetics, where information is seen as ‘a difference which makes a difference’ for a living autopoietic (self‐organised, self‐creating) system. Other key ideas are from the semiotics of Peirce and also Warner. This is the understanding of signs as a triadic relation between an object, a representation and an interpretant. Information is the interpretation of signs by living, feeling, self‐organising, biological, psychological and social systems. Signification is created and con‐trolled in a cybernetic way within social systems and is communicated through what Luhmann calls generalised media, such as science and art. The modern socio‐linguistic concept ‘discourse communities’ and Wittgenstein's ‘language game’ concept give a further pragmatic description of the self‐organising system's dynamic that determines the meaning of words in a social context. As Blair and Liebenau and Backhouse point out in their work it is these semantic fields of signification that are the true pragmatic tools of knowledge organ‐isation and document retrieval. Methodologically they are the first systems to be analysed when designing document mediating systems as they set the context for the meaning of concepts. Several practical and analytical methods from linguistics and the sociology of knowledge can be used in combination with standard methodology to reveal the significant language games behind document mediation.

This paper will provide an overview of the contemporary surveillance environment in the age of Big Data and an insight into the complexities and overlap between security, bodily and informational surveillance as well as the subsequent impacts on privacy and democracy. These impacts include the ethical dilemmas facing librarians and information scientists as they endeavour to uphold principles of equality of access to information, and the support of intellectual freedom in private in an increasingly politicised informational environment. If we accept that privacy is integral to the notion of learning, free thought and intellectual exploration and a crucial element in the separation of the state and the individual in democratic society, then the emergence of the data age and the all-encompassing surveillance and exposure of once private acts will undoubtedly lead to the reimagining of the social and political elements of society.

It has been demonstrated that AI-powered, data-driven tools’ usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy.

The authors introduce the results of a case study based on a large educational intervention at a fully online university. The views of the participants from degrees representing different knowledge areas and contexts of technology adoption (work, education and leisure) were explored after engaging in the analysis of the terms and conditions of use about privacy and data usage. After consultation, 27 course instructors (CIs) integrated the activity and worked with 823 students (702 of whom were complete and correct for analytical purposes).

The results of this study indicated that the intervention increased privacy-conscious online behaviour among most participants. Results were more contradictory when looking at the tools’ daily usage, with overall positive considerations around the tools being mostly needed or “indispensable”.

Though appliable only to the authors’ case study and not generalisable, the authors’ results show both the complexity of privacy views and the presence of forms of renunciation in the trade-off between data protection and the need of using a specific software into a personal and professional context.

This study provides an example of teaching and learning activities that supports the development of data literacy, with a focus on data privacy. Therefore, beyond the research findings, any educator can build over the authors’ proposal to produce materials and interventions aimed at developing awareness on data privacy issues.

Developing awareness, understanding and skills relating to data privacy is crucial to live in a society where digital technologies are used in any area of our personal and professional life. Well-informed citizens will be able to obscure, resist or claim for their rights whenever a violation of their privacy takes place. Also, they will be able to support (through adoption) better quality apps and platforms, instead of passively accepting what is evident or easy to use.

The authors specifically spot how students and educators, as part of a specific learning and cultural ecosystem, need tailored opportunities to keep on reflecting on their degrees of freedom and their possibilities to act regarding evolving data systems and their alternatives.