Topic
Datafication
About: Datafication is a research topic. Over the lifetime, 653 publications have been published within this topic receiving 13218 citations.
Papers
TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
Abstract: The era of Big Data has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and other scholars are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions. Diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people. Significant questions emerge. Will large-scale search data help us create better tools, services, and public goods? Or will it usher in a new wave of privacy incursions and invasive marketing? Will data analytics help us understand online communities and political movements? Or will it be used to track protesters and suppress speech? Will it transform how we study human communication and culture, or narrow the palette of research options and alter what ‘research’ means? Given the rise of Big Data as a socio-tech...
5,199 citations
TL;DR: This article deconstructs the ideological grounds of datafication, a ideology rooted in problematic ontological and epistemological claims that shows characteristics of a widespread secular belief in the context of a larger social media logic.
Abstract: Metadata and data have become a regular currency for citizens to pay for their communication services and security—a trade-off that has nestled into the comfort zone of most people. This article deconstructs the ideological grounds of datafication. Datafication is rooted in problematic ontological and epistemological claims. As part of a larger social media logic, it shows characteristics of a widespread secular belief. Dataism, as this conviction is called, is so successful because masses of people — naively or unwittingly — trust their personal information to corporate platforms. The notion of trust becomes more problematic because people’s faith is extended to other public institutions (e.g. academic research and law enforcement) that handle their (meta)data. The interlocking of government, business, and academia in the adaptation of this ideology makes us want to look more critically at the entire ecosystem of connective media.
1,881 citations
TL;DR: In this paper, the authors analyse data as a form of capital that is distinct from, but complementary to, human capital and argue that the collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism.
Abstract: The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but h...
797 citations
TL;DR: Mayer-Schonberger's and Cukier's guide to big data as mentioned in this paper focuses on the culture changes that big data will bring, rather than technological or business areas, examining how 'datafication' will affect personal matters, such as relationships, experiences and moods.
Abstract: This book review describes Mayer-Schonberger's and Cukier's guide to big data as being one of the most accessible of the recent publications on the subject. It focuses on the culture changes that big data will bring, rather than technological or business areas, examining how 'datafication' will affect personal matters, such as relationships, experiences and moods. The authors claim that rather than getting data certainties in businesses, big data will actually lead to greater messiness and creativity.
625 citations
TL;DR: This paper aims to identify some of the most promising trends in blended learning implementations in higher education, the capabilities provided by the technology, the contexts of use of these capabilities, and some common capabilities among digital educational technologies.
Abstract: Education is a complex system that requires multiple perspectives and levels of analysis to understand its contexts, dynamics, and actors’ interactions, particularly concerning technological innovations. This paper aims to identify some of the most promising trends in blended learning implementations in higher education, the capabilities provided by the technology (e.g., datafication), and the contexts of use of these capabilities. This literature review selected and analyzed forty-five peer-reviewed journal articles. The findings highlight some common capabilities among digital educational technologies. In particular, digital tools or platforms with human-to-machine interaction capabilities may enhance automated processes for blended learning delivery modes. In this context, digital technologies such as video capsules and intelligent tutoring systems may improve learning-teaching activities. First, by providing access to more students and facilitating self-paced online learning activities. Second, by offering an individual path of learning for each student, thus improving out-of-class activities and feedback. Educational technology capabilities (ETC) provide complementary insights to identify the best approach when aligning learning goals in technology-based implementations. Further research will be required to empirically validate these results.
450 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 145 |
| 2020 | 157 |
| 2019 | 129 |
| 2018 | 70 |
| 2017 | 65 |
| 2016 | 44 |