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  1. Chapter 2 Is journalism gender e-qual?
    Author: De Vuyst, Sara
    Published: 2020
    Publisher:  Taylor & Francis

    Chapter 2 explores the gender aspects of digital skills in journalism. There is a discussion of the gendered consequences of the increased value of digital skills in journalism. For example, what happens if media companies hire more people with a... more

     

    Chapter 2 explores the gender aspects of digital skills in journalism. There is a discussion of the gendered consequences of the increased value of digital skills in journalism. For example, what happens if media companies hire more people with a background in ICT, a field which is notorious for its gender imbalance both in education and professions? In order to gain a complete picture of gender dimensions, the book not only focuses on quantitative aspects but also asks more complex questions about how gender interacts with technology in journalism. The answers to these questions goes beyond merely describing gender divides, by offering insights into the underlying mechanisms that support them. Obstacles that are addressed here include the geek stereotype, the gendered evaluation of digital skills, the coding ceiling, and the gendered accumulation of digital skills. The chapter focuses on how female and male journalists experience and perceive these obstacles in their professional lives based on qualitative interviews with an international sample of journalism professionals (n = 37).

     
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    Source: OAPEN
    Language: English
    Media type: Ebook
    Format: Online
    Parent title: Hacking Gender and Technology in Journalism
    Subjects: Media studies
    Other subjects: digital journalism; gender; coding ceiling; data journalism; gender bias
    Scope: 1 electronic resource (17 p.)
  2. Datafied society
    studying culture through data
    Published: 2017
    Publisher:  Amsterdam University Press, [Place of publication not identified]

    As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and... more

    Location:
    Universitätsbibliothek Regensburg
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    Unlimited inter-library loan, copies and loan

     

    As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation

     
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    Content information
    Volltext (kostenfrei)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9048531012; 9462981361; 9789048531011; 9789462981362
    Other identifier:
    Subjects: Données volumineuses; Sciences humaines numériques; Datenanalyse; Forschung; Kulturwissenschaften; Reference, information and interdisciplinary subjects; Research and information: general; SOCIAL SCIENCE; SOCIAL SCIENCE; Sozialwissenschaften; Big data; Digital humanities; Digital Humanities; Soziologie; Big Data; Medienwissenschaft
    Other subjects: data analysis; data journalism; data visualization; internet research; social media; Electronic books; Electronic books
    Scope: 1 Online-Ressource
    Notes:

    Title from content provider

    Cover; Table of Contents; Acknowledgements; Foreword; Introduction: New Brave World / Karin van Es & Mirko Tobias Schäfer; Section 1 -- Studying Culture through Data; 1. Humanistic Data Research: An Encounter between Epistemic Traditions / Eef Masson; 2. Towards a 'Humanistic Cinemetrics'? / Christian Gosvig Olesen; 3. Cultural Analytics, Social Computing and Digital Humanities / Lev Manovich; 4. Case Study: On Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur & Lev Manovich; 5. Foundations of Digital Methods: Query Design / Richard Rogers

    11. How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy & Jonathan Gray12. Towards a Reflexive Digital Data Analysis / Karin van Es, Nicolás López Coombs & Thomas Boeschoten; Section 3 -- Research Ethics; 13. Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity / Gerwin van Schie, Irene Westra & Mirko Tobias Schäfer; 14. Research Ethics in Context: Decision-Making in Digital Research / Annette Markham & Elizabeth Buchanan

    15. Datafication & Discrimination / Koen Leurs & Tamara ShepherdSection 4 -- Key Ideas in Big Data Research; 16. The Myth of Big Data / Nick Couldry; 17. Data Point Critique / Carolin Gerlitz; 18. Opposing the Exceptionalism of the Algorithm / Evgeny Morozov; 19. The Need for a Dialogue with Technology / Mercedes Bunz; Tools; Notes on Contributors; Index

    6. Case Study: Webs and Streams -- Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content / Natalia Sánchez-QuerubínSection 2 -- Data Practices in Digital Data Analysis; 7. Digital Methods: From Challenges to Bildung / Bernhard Rieder & Theo Röhle; 8. Data, Culture and the Ambivalence of Algorithms / William Uricchio; 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Paßmann & Asher Boersma ; 10. Social Data APIs: Origin, Types, Issues / Cornelius Puschmann & Julian Ausserhofer
  3. Datafied society
    studying culture through data
    Published: 2017
    Publisher:  Amsterdam University Press, [Erscheinungsort nicht ermittelbar] ; JSTOR, New York

    As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and... more

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    As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789462981362; 9462981361; 9789048531011; 9048531012
    DDC Categories: 300
    Subjects: Digital humanities; Big data; SOCIAL SCIENCE; SOCIAL SCIENCE; Reference, information and interdisciplinary subjects; Research and information: general; Sozialwissenschaften; Forschung; Kulturwissenschaften; Datenanalyse
    Other subjects: social media; data analysis; data journalism; data visualization; internet research
    Scope: 1 Online-Ressource
    Notes:

    Title from content provider

    Includes bibliographical references and index