Search results

1 – 10 of 445
Article
Publication date: 30 November 2023

Ina Sander

In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and…

Abstract

Purpose

In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches – media literacy, the German “(politische) Bildung” and Freirean “critical pedagogy” – and empirical analyses of online educational resources about datafication.

Design/methodology/approach

The study interconnects theoretical analyses with an empirical mixed methods investigation that includes expert interviews with creators of online educational resources about datafication and a qualitative survey with educators interested in teaching about data technologies.

Findings

The research identified novel findings on the goals of resource creators and educators, such as a focus on empowering and emancipatory approaches, fostering systemic understanding of datafication and encouraging collective action. Such perspectives are rare in existing critical data literacy conceptualisations but show resemblance to traditional education scholarship. This highlights how much can be learnt from practitioners and from these more established educational approaches. Based on these findings, a framework for critical datafication literacy is suggested that aims for systemic understanding of datafication, encouraging critical thinking and enabling learners to make enlightened choices and take different forms of action.

Originality/value

The study is unique in its interconnection of theoretical and empirical research, and it advances previous research by suggesting a grounded framework for critical datafication literacy.

Details

Information and Learning Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5348

Keywords

Article
Publication date: 8 May 2019

Claire Seungeun Lee

The purpose of this paper is twofold: first, to explore how China uses a social credit system as part of its “data-driven authoritarianism” policy; and second, to investigate how…

5333

Abstract

Purpose

The purpose of this paper is twofold: first, to explore how China uses a social credit system as part of its “data-driven authoritarianism” policy; and second, to investigate how datafication, which is a method to legitimize data collection, and dataveillance, which is continuous surveillance through the use of data, offer the Chinese state a legitimate method of monitoring, surveilling and controlling citizens, businesses and society. Taken together, China’s social credit system is analyzed as an integrated tool for datafication, dataveillance and data-driven authoritarianism.

Design/methodology/approach

This study combines the personal narratives of 22 Chinese citizens with policy analyses, online discussions and media reports. The stories were collected using a scenario-based story completion method to understand the participants’ perceptions of the recently introduced social credit system in China.

Findings

China’s new social credit system, which turns both online and offline behaviors into a credit score through smartphone apps, creates a “new normal” way of life for Chinese citizens. This data-driven authoritarianism uses data and technology to enhance citizen surveillance. Interactions between individuals, technologies and information emerge from understanding the system as one that provides social goods, using technologies, and raising concerns of privacy, security and collectivity. An integrated critical perspective that incorporates the concepts of datafication and dataveillance enhances a general understanding of how data-driven authoritarianism develops through the social credit system.

Originality/value

This study builds upon an ongoing debate and an emerging body of literature on datafication, dataveillance and digital sociology while filling empirical gaps in the study of the global South. The Chinese social credit system has growing recognition and importance as both a governing tool and a part of everyday datafication and dataveillance processes. Thus, these phenomena necessitate discussion of its consequences for, and applications by, the Chinese state and businesses, as well as affected individuals’ efforts to adapt to the system.

Article
Publication date: 19 February 2021

Claire Seungeun Lee

The first case of coronavirus disease 2019 (COVID-19) was documented in China, and the virus was soon to be introduced to its neighboring country – South Korea. South Korea, one…

807

Abstract

Purpose

The first case of coronavirus disease 2019 (COVID-19) was documented in China, and the virus was soon to be introduced to its neighboring country – South Korea. South Korea, one of the earliest countries to initiate a national pandemic response to COVID-19 with fairly substantial measures at the individual, societal and governmental level, is an interesting example of a rapid response by the Global South. The current study examines contact tracing mobile applications (hereafter, contact tracing apps) for those who were subject to self-quarantine through the lenses of dataveillance and datafication. This paper analyzes online/digital data from those who were mandatorily self-quarantined by the Korean government largely due to returning from overseas travel.

Design/methodology/approach

This study uses an Internet ethnography approach to collect and analyze data. To extract data for this study, self-quarantined Korean individuals' blog entries were collected and verified with a combination of crawling and manual checking. Content analysis was performed with the codes and themes that emerged. In the COVID-19 pandemic era, this method is particularly useful to gain access to those who are affected by the situation. This approach advances the author’s understandings of COVID-19 contact tracing mobile apps and the experiences of self-quarantined people who use them.

Findings

The paper shows Korean citizens' understandings and views of using the COVID-19 self-tracing application in South Korea through examining their experiences. The research argues that the application functions as a datafication tool that collects the self-quarantined people's information and performs dataveillance on the self-quarantined people. This research further offers insights for various agreements/disagreements at different actors (i.e. the self-quarantined, their families, contact tracers/government officials) in the process of contact tracing for COVID-19.

Originality/value

This study also provides insights into the implications of information and technology as they affect datafication and dataveillance conducted on the public. This study investigates an ongoing debate of COVID-19's contact tracing method concerning privacy and builds upon an emerging body of literature on datafication, dataveillance, social control and digital sociology.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0377

Details

Online Information Review, vol. 45 no. 4
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 28 November 2023

Ezequiel Aleman

This paper aims to address the limitations in designing educational approaches that apply critical approaches to data literacy, given the obscure nature of digital platforms…

Abstract

Purpose

This paper aims to address the limitations in designing educational approaches that apply critical approaches to data literacy, given the obscure nature of digital platforms, which leave youth unable to develop discourses that challenge dominant narratives about the role of data in their lives. The purpose of this study is to propose and evaluate a critical data literacy approach that empowers youth to engage with data from a sociocultural perspective using a speculative participatory research approach that affords opportunities to develop alternative discourses.

Design/methodology/approach

This is a multiple-case study that involves five alternative schools in Uruguay which implemented the Nayah-Irú curriculum over ten weeks leading to the development of six distinct research projects about the materialization of data in youth lives. The curriculum incorporates an alternate reality game (ARG) to engage youth in critical data literacy, based on the principles of Youth Participatory Action Research (YPAR) epistemology and Speculative Civic Literacies.

Findings

The findings of this study highlight the integration of speculative storytelling and real-life experiences in developing alternative discourses about datafication. The analysis revealed instances of discursive closure among the youth, but through the curriculum's speculative fiction elements, such as the narrative of Nayah-Irú, emotional connections were formed, leading to increased engagement, critical inquiry, and problem framing.

Research limitations/implications

The study conducted on the Nayah-Irú curriculum shows its effectiveness in engaging youth and educators in critical data literacy by affording opportunities for youth to engage in the analysis of their personal data literacies in an alternative world. Bringing speculative approaches to data literacy can open new avenues for exploring data literacy with youth in ways that center their voices and help them overcome different forms of discursive closure.

Originality/value

This study offers new insights into critical data literacy education blending youth participatory action research epistemologies with a speculative literacies framework to support youth in developing alternative discourses regarding the role of data in their lives.

Details

Information and Learning Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5348

Keywords

Open Access
Article
Publication date: 29 December 2023

Priya C. Kumar

This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing…

Abstract

Purpose

This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing institutional, rather than community, goals.

Design/methodology/approach

This article analyzes theory and prior work on datafication, privacy, data literacy, privacy literacy and critical literacy to provide a vision for future privacy literacy research and praxis.

Findings

This article (1) explains why privacy is a valuable rallying point around which people can resist datafication, (2) locates privacy literacy within data literacy, (3) identifies three ways that current research and praxis have conceptualized privacy literacy (i.e. as knowledge, as a process of critical thinking and as a practice of enacting information flows) and offers a shared purpose to animate privacy literacy research and praxis toward social change and (4) explains how critical literacy can help privacy literacy scholars and practitioners orient their research and praxis toward changing the conditions that create privacy concerns.

Originality/value

This article uniquely synthesizes existing scholarship on data literacy, privacy literacy and critical literacy to provide a vision for how privacy literacy research and praxis can go beyond improving individual understanding and toward enacting social change.

Details

Information and Learning Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5348

Keywords

Article
Publication date: 28 November 2023

Lynn Rosalina Gama Alves and William de Souza Santos

This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors.

Abstract

Purpose

This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors.

Design/methodology/approach

This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution.

Findings

The results point to a lack of knowledge on the part of teachers regarding data security in the platforming scenario, as well as the lack of effectiveness of institutions in protecting student data.

Originality/value

Within the Brazilian scenario, this research seeks to contribute to the discussion on platformization in view of the gaps and existing demands on this process in the country.

Details

Information and Learning Sciences, vol. 125 no. 1/2
Type: Research Article
ISSN: 2398-5348

Keywords

Article
Publication date: 27 September 2023

Spencer P. Greenhalgh, Daniela K. DiGiacomo and Sarah Barriage

The purpose of this paper is to examine how higher education students think about educational technologies they have previously used – and the implications of this understanding…

Abstract

Purpose

The purpose of this paper is to examine how higher education students think about educational technologies they have previously used – and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context.

Design/methodology/approach

The authors conducted two surveys about students’ experience with the ClassDojo platform during their secondary education. In both surveys, the authors included a question asking students to identify which ClassDojo-like platform they used in school. For this study, the authors examined responses to these screening questions, identifying the technologies that responses referred to and sorting technologies into categories.

Findings

Students identified a wide range of technologies when prompted to identify a technology similar to ClassDojo. Many responses suggested students have a broad, monolithic understanding of educational technology. This suggests the prevalence of a utilitarian tool perspective (rather than a platform perspective) that may be entrenched by the time that students reach higher education, hampering efforts to inform and educate them in that context.

Originality/value

To the best of the authors’ knowledge, there are few studies of students’ conflation of educational technologies in the extant literature. Furthermore, the platform perspective emphasized in this manuscript remains relatively rare in many fields associated with educational technology.

Details

Information and Learning Sciences, vol. 124 no. 9/10
Type: Research Article
ISSN: 2398-5348

Keywords

Article
Publication date: 1 February 2016

Derina Holtzhausen

The purpose of this paper is to consider the threats and potential of Big Data for strategic communication. It explains the concepts of datafication and Big Data and establishes…

7581

Abstract

Purpose

The purpose of this paper is to consider the threats and potential of Big Data for strategic communication. It explains the concepts of datafication and Big Data and establishes the social and cultural context of Big Data from the way those constructing algorithms superimpose their value systems and cultural references onto the data. It links Big Data and strategic communication through the segmentation devices and strategies both use and propose discourse analysis as a valid method for the critique of Big Data. The importance of strategic communication for the public sphere suggests that Big Data can pose a serious threat to public discourse.

Design/methodology/approach

This is a conceptual and theoretical paper that first explains and interprets various new terms and concepts and then uses established theoretical approaches to analyze these phenomena.

Findings

The use of Big Data for the micro-segmentation of audiences establishes its relationship with strategic communication. Big Data analyses and algorithms are not neutral. Treating algorithms as language and communication allow them to be subjected to discourse analysis to expose underlying power relations for resistance strategies to emerge. Strategic communicators should guard the public sphere and take an activist stance against the potential harm of Big Data. That requires a seat at the institutional technology table and speaking out against discriminatory practices. However, Big Data can also greatly benefit society and improve discourse in the public sphere.

Research limitations/implications

There is not yet empirical data available on the impact of datafication on communication practice, which might be a problem well into the future. It also might be hard to do empirical research on its impact on practice and the public sphere. The heuristic value of this piece is that it laid down the theoretical foundations of the phenomena to be studied, which can in future be used for ethnographic research or qualitative studies. It might eventually be possible to follow personalized messages generated through datafication to study if they actually lead to behavior change in specific audience members.

Practical/implications

As guardians of the public sphere strategic communication practitioners have to educate themselves on the realities of Big Data and should consciously acquire a seat at the institutional technology table. Practitioners will need to be involved in decisions on how algorithms are formulated and who they target. This will require them to serve as activists to ensure social justice. They also will need to contribute to organizational transparency by making organizational information widely available and accessible through media bought, owned, and earned. Strategic communicators need to create a binary partnership with journalists of all kinds to secure the public sphere.

Social/implications

The paper exposes the role of algorithms in the construction of data and the extent to which algorithms are products of people who impose their own values and belief systems on them. Algorithms and the data they generate are subjective and value-laden. The concept of algorithms as language and communication and the use of Big Data for the segmentation of society for purposes of communication establish the connection between Big Data and strategic communication. The paper also exposes the potential for harm in the use of Big Data, as well as its potential for improving society and bringing about social justice.

Originality/value

The value of this paper is that it introduces the concept of datafication to communication studies and proposes theoretical foundations for the study of Big Data in the context of strategic communications. It provides a theoretical and social foundation for the inclusion of the public sphere in a definition of strategic communication and emphasizes strategic communicators’ commitment to the public sphere as more important than ever before. It highlights how communication practice and society can impact each other positively and negatively and that Big Data should not be the future of strategic communication but only a part of it.

Details

Journal of Communication Management, vol. 20 no. 1
Type: Research Article
ISSN: 1363-254X

Keywords

Article
Publication date: 5 March 2024

Yuchen Yang

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of…

Abstract

Purpose

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, “What to extract from AV materials and why?”.

Design/methodology/approach

This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards.

Findings

The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content – archival, affective and aesthetic, social and historical.

Originality/value

This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

Open Access
Article
Publication date: 8 February 2024

Leo Van Audenhove, Lotte Vermeire, Wendy Van den Broeck and Andy Demeulenaere

The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European…

Abstract

Purpose

The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as artificial intelligence. This paper analyses how DigComp 2.2 defines data literacy and how the framework looks at this from a societal lens.

Design/methodology/approach

This study critically examines DigComp 2.2, using the data literacy competence model developed by the Knowledge Centre for Digital and Media Literacy Flanders-Belgium. The examples of knowledge, skills and attitudes focussing on data literacy (n = 84) are coded and mapped onto the data literacy competence model, which differentiates between using data and understanding data.

Findings

Data literacy is well-covered in the framework, but there is a stronger emphasis on understanding data rather than using data, for example, collecting data is only coded once. Thematically, DigComp 2.2 primarily focusses on security and privacy (31 codes), with less attention given to the societal impact of data, such as environmental impact or data fairness.

Originality/value

Given the datafication of society, data literacy has become increasingly important. DigComp is widely used across different disciplines and now integrates data literacy as a required competence for citizens. It is, thus, relevant to analyse its views on data literacy and emerging technologies, as it will have a strong impact on education in Europe.

Details

Information and Learning Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5348

Keywords

1 – 10 of 445