Results 41 to 50 of about 17,623,491 (284)
NECSUS, 2023 In order to diversify the scope of scholarly formats within NECSUS, the new section Data Papers offers a curated platform for publishing commented datasets from film and media studies research projects.
Alexandra Schneider, Malte Hagener
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Critical data modeling and the basic representation model
J. Assoc. Inf. Sci. Technol., 2023 The increasing role and impact of information systems in modern life calls for new types of information studies that examine sociotechnical factors at play in the development and use of information systems.
Karen M. Wickett
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Towards a Closer Look at the Pipes and Joints of Educational Data Infrastructures
Seminar.net, 2021 More recently, scholars in the field Critical Data Studies have turned attention to the infrastructures by means of which educational data is produced, processed, circulated, and consumed.
Christoph Richter +2 more
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Youth Critical Data Practices in the COVID-19 Multipandemic
AERA Open, 2021 This study investigates how youth from two cities in the United States engage in critical data practices as they learn about and take action in their lives and communities in relation to COVID-19 and its intersections with justice-related concerns ...
Angela Calabrese Barton +8 more
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Data, algorithms, text, critical data literacies, identity [PDF]
Digital Culture & Education, 2020 In recent years, a debate has emerged around the question which data competencies students in higher education need in order to be able to adequately study contemporary social and cultural phenomena.
Eef Masson +2 more
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Weizenbaum Journal of the Digital Society, 2023 This article presents an approach to practicing ethics when working with large datasets and designing data representations. Inspired by feminist critique of technoscience and recent problematizations of digital literacy, we argue that machine learning ...
Selena Savic, Yann Patrick Martins
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The Flan Collection: Designing Data and Methods for Effective Instruction Tuning [PDF]
International Conference on Machine Learning, 2023 We study the design decisions of publicly available instruction tuning methods, and break down the development of Flan 2022 (Chung et al., 2022). Through careful ablation studies on the Flan Collection of tasks and methods, we tease apart the effect of ...
S. Longpre +10 more
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Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective
Frontiers in Big Data, 2020 As of 2020, the Public Employment Service Austria (AMS) makes use of algorithmic profiling of job seekers to increase the efficiency of its counseling process and the effectiveness of active labor market programs.
Doris Allhutter +4 more
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Follow the Data! A Strategy for Tracing Infrastructural Power
Media and Communication, 2023 Recalling the well-known strategy of “following the money” when investigating the underlying power structures and business models of legacy media, this article argues that studies of digital political economies can benefit instead from following the data.
Sofie Flensburg, Signe Sophus Lai
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Critical big data literacy tools—Engaging citizens and promoting empowered internet usage
Data & Policy, 2020 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 ...
Ina Sander
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