What is critical big data literacy and how can it be implemented?

Sander, Ina

doi:10.14763/2020.2.1479

Cited by 58 publications

(46 citation statements)

References 16 publications

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“…Categorizing the participants' privacy attitudes into "concerned" or "not concerned" proved difficult as they were often only worried about certain aspects of online privacy, seemed unconcerned but then expressed a guilty conscience or a resignation toward their online privacy, or they explained being torn between concern and convenience. While an elaborate discussion of the often contradictory and fluctuating nature of these concerns is beyond the scope of this short paper, the following paragraph gives a first overview of these findings, which will be discussed in more detail in Sander (2020). Overall, nuanced themes emerged both in relation to a concern about privacy but also with regard to a feeling of not "being bothered" by online privacy.…”

Section: Complexity Of Privacy Concernsmentioning

confidence: 98%

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Critical big data literacy tools—Engaging citizens and promoting empowered internet usage

Sander

2020

Data & Policy

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Datafied societies need informed public debate about the implications of data science technologies. At present, internet users are often unaware of the potential consequences of disclosing personal data online and few citizens have the knowledge to participate in such debates. This paper argues that critical big data literacy efforts are one way to address this lack of knowledge. It draws on findings from a small qualitative investigation and discusses the effectiveness of online critical big data literacy tools. Through pre and post use testing, the short- and longer-term influence of these tools on people’s privacy attitudes and behavior was investigated. The study’s findings suggested that the tools tested had a predominantly positive initial effect, leading to improved critical big data literacy among most participants, which resulted in more privacy-sensitive attitudes and internet usage. When analyzing the tools’ longer-term influence, results were more mixed, with evidence suggesting for some that literacy effects of the tools were short-lived, while for others they led to more persistent and growing literacy. The findings confirm previous research noting the complexity of privacy attitudes and also find that resignation toward privacy is multi-faceted. Overall, this study reaffirms the importance of critical big data literacy and produces new findings about the value of interactive data literacy tools. These tools have been under-researched to date. This research shows that these tools could provide a relevant means to work toward empowering internet users, promoting a critical internet usage and, ideally, enabling more citizens to engage in public debates about changing data systems.

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Section: Complexity Of Privacy Concernsmentioning

confidence: 98%

“…More detailed findings on these tools, their content and design approaches and the participants' suggestions for prospective tools are included inSander (2020). What is critical big data literacy and how can it be implemented?…”

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confidence: 99%

Critical big data literacy tools—Engaging citizens and promoting empowered internet usage

Sander

2020

Data & Policy

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“…Zwischen den Expert*innen besteht Konsens, dass digitale Bildung und Gesundheitskompetenz in der Bevölkerung Schlüsselfaktoren sein werden. Auf der Seite der Praxisakteure im Gesundheitsbereich geht es um die Data Literacy, d. h. den kompetenten Umgang mit Daten, welche bislang auch in der gesundheitswissenschaftlichen und medizinischen Ausbildung eine Herausforderung darstellt [16,25].…”

Section: Big Data In Health Promotion and Prevention Results Of A Delphi Study With A Focus On Vulnerable Groupsunclassified

“…Schrittzahl, Herzschlag oder UV-Strahlung, selbst überwachen und die Ergebnisse zur Verbesserung des Gesundheitsverhaltens und auch langfristig zur Verbesserung des Gesundheitszustands nutzen können [1]. [6,20], Data Literacy [16,25], Effizienzsteigerung [1,2,35], Ethik und Zugang [10,24,27,35], Risikoanalyse und Prognose [3,12,28,30,33]. Verschiedene Studien belegen das Potenzial von Big Data im Gesundheitsbereich.…”

Section: Hintergrund Und Fragestellungunclassified

Big Data in der Gesundheitsförderung und Prävention

Spranger

Niederberger

2021

Präv Gesundheitsf

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Zusammenfassung Hintergrund Die Nutzung großer und vielfältiger Datenmengen (Big Data) kann zur Gewinnung gesundheitsbezogener Erkenntnisse führen. Die Relevanz untermauern aktuelle Erfordernisse, bspw. in Zusammenhang mit der Digitalisierung, der Gesundheitsversorgung in Ausnahmesituationen und der zunehmenden Bedeutung von Personalisierungsprozessen in der Gesundheitsforschung. Das Potenzial von Big Data zur Erforschung vulnerabler Gruppen ist strittig, jedoch vor dem Hintergrund relativ stabiler sozialbedingter gesundheitlicher Ungleichheit besonders relevant. Ziel der Arbeit In der Studie wird untersucht, wie Expert*innen im Bereich der Analyse von Gesundheitsdaten das Potenzial von Big Data in der Gesundheitsförderung und Prävention, insbesondere zur Erforschung vulnerabler Gruppen, einschätzen. Material und Methode In einer Delphi-Studie wurden Expert*innen in zwei Runden mit einem Onlinefragebogen befragt, um Konsens und Dissens über das Potenzial von Big Data zu identifizieren. Ergebnisse und Schlussfolgerung Aus Sicht der Expert*innen birgt Big Data ein Potenzial für die Gesundheitsförderung und Prävention, insbesondere im klinischen Setting und durch die Personalisierung gesundheitsbezogener Maßnahmen. Vor allem Menschen mit seltenen Erkrankungen und ältere Personen könnten durch Big-Data-Analysen profitieren, bspw. durch beschleunigte Diagnoseprozesse oder personalisierte digitale Gesundheitsanwendungen. Uneinig sind sich die Expert*innen über den Umfang, in welchem es Forschungseinrichtungen, Krankenversicherungen oder Unternehmen, erlaubt sein soll, derartige Daten zu nutzen oder zu teilen.

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“…Drawing on the work of Biesta (2009;2015), this section draws a distinction between discursive representations of 'learning' as individualised, self-directed and 'life-long' in duration, and 'education' as public, institutionalised, and fundamentally concerned with collective purposes. Making connections with work in 'critical data literacy' (Sander 2020), this analysis will suggest, not only more critical ways of understanding 'learning' in the datafied society, but also the need for better recognition of the role that formal education can play in addressing the associated issues of power and inequality. This paper therefore aims to emphasise educational concerns within the broader discourses around data-driven technologies.…”

Section: Introductionmentioning

confidence: 99%

Refocusing Zuboff’s ‘division of learning’ on Education

Knox

2021

seminar

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This paper examines the concept of the ‘division of learning’, and the broader thesis of ‘surveillance capitalism’ within which it is situated, in terms of its relevance to education. It begins with defining the term, before suggesting two key ways in which aligning the ‘division of learning’ with perspectives from educational research might provide productive insights for both domains. The first considers the impact of increasing ‘datafication’ in education, where platform technologies are proliferating as powerful actors that both mediate and shape educational activity. Here the ‘division of learning’ offers useful insights concerning the disparities resulting from learning in and learning from educational platforms. The second explores the extent to which education theory might offer ways to develop the concept of the ‘division of learning’, through critique of the term ‘learning’ itself, as well as the foregrounding of questions of educational ‘purpose’. Here the ‘division of learning’ is suggested to maintain, rather than challenge, the dominant practices of data exploitation, for which further engagement with a purposive, political, and emancipatory form of ‘data science’ is suggested.

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What is critical big data literacy and how can it be implemented?

Cited by 58 publications

References 16 publications

Critical big data literacy tools—Engaging citizens and promoting empowered internet usage

Critical big data literacy tools—Engaging citizens and promoting empowered internet usage

Big Data in der Gesundheitsförderung und Prävention

Refocusing Zuboff’s ‘division of learning’ on Education

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