The Data Journalism Handbook
Towards A Critical Data Practice
Seiten
2021
Amsterdam University Press (Verlag)
978-94-6298-951-1 (ISBN)
Amsterdam University Press (Verlag)
978-94-6298-951-1 (ISBN)
- Titel ist leider vergriffen;
keine Neuauflage - Artikel merken
This book offers an interdisciplinary introduction to data journalism, offering a unique combination of critical reflection and practical insight into the field, including how data journalism is done around the world and the broader consequences of datafication in the news.
The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It also gives a "behind the scenes" look at the social lives of data sets, data infrastructures, and data stories in newsrooms, media organizations, start-ups, civil society organizations and beyond. The book includes sections on "doing issues with data," "assembling data," "working with data," "experiencing data," "investigating data, platforms and algorithms," "organizing data journalism," "learning data journalism together" and "situating data journalism."
The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It also gives a "behind the scenes" look at the social lives of data sets, data infrastructures, and data stories in newsrooms, media organizations, start-ups, civil society organizations and beyond. The book includes sections on "doing issues with data," "assembling data," "working with data," "experiencing data," "investigating data, platforms and algorithms," "organizing data journalism," "learning data journalism together" and "situating data journalism."
Liliana Bounegru is Lecturer in Digital Methods at the Department of Digital Humanities, King's College London, co-founder of the Public Data Lab and Research Associate at the Digital Methods Initiative, University of Amsterdam. Jonathan Gray is Lecturer in Critical Infrastructure Studies at the Department of Digital Humanities, King's College London, co-founder of the Public Data Lab and Research Associate at the Digital Methods Initiative, University of Amsterdam.
Introduction (Jonathan Gray and Liliana Bounegru)
Doing Issues With Data
Assembling Data
Working With Data
Experiencing Data
Investigating Data, Platforms and Algorithms
Organizing Data Journalism
Learning Data Journalism Together
Index
Erscheinungsdatum | 10.05.2021 |
---|---|
Reihe/Serie | Digital Studies |
Co-Autor | Aaron Williams, Aika Rey, Andy Kirk |
Zusatzinfo | 50 Illustrations, black and white |
Verlagsort | Amsterdam |
Sprache | englisch |
Maße | 156 x 234 mm |
Themenwelt | Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Literaturwissenschaft |
Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
Sozialwissenschaften ► Kommunikation / Medien ► Journalistik | |
Wirtschaft | |
ISBN-10 | 94-6298-951-6 / 9462989516 |
ISBN-13 | 978-94-6298-951-1 / 9789462989511 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85