Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Anthem Press
2020
|
| Links: | https://www.cambridge.org/core/product/identifier/9781785275340/type/BOOK |
| Zusammenfassung: | This book looks at how numbers and statistics have been used to underpin quality in news reporting. In doing so, the aim is to challenge some common assumptions about how journalists engage and use statistics in their quest for quality news. It seeks to improve our understanding about the usage of data and statistics as a primary means for the construction of social reality. This is a task, in our view, that is urgent in times of 'post-truth' politics and the rise of 'fake news'. In this sense, the quest to produce 'quality' news, which seems to require incorporating statistics and engaging with data, as laudable and straightforward as it sounds, is instead far more problematic and complex than what is often accounted for. |
| Umfang: | 1 Online-Ressource (x, 193 Seiten) |
| ISBN: | 9781785275340 |
Internformat
MARC
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| 520 | |a This book looks at how numbers and statistics have been used to underpin quality in news reporting. In doing so, the aim is to challenge some common assumptions about how journalists engage and use statistics in their quest for quality news. It seeks to improve our understanding about the usage of data and statistics as a primary means for the construction of social reality. This is a task, in our view, that is urgent in times of 'post-truth' politics and the rise of 'fake news'. In this sense, the quest to produce 'quality' news, which seems to require incorporating statistics and engaging with data, as laudable and straightforward as it sounds, is instead far more problematic and complex than what is often accounted for. | ||
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| id | ZDB-20-CTM-CR9781785275340 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-15T09:21:31Z |
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| isbn | 9781785275340 |
| language | English |
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| spelling | Martinisi, Alessandro Statistics and the quest for quality journalism a study in quantitative reporting Alessandro Martinisi, Jairo Lugo-Ocando London Anthem Press 2020 1 Online-Ressource (x, 193 Seiten) txt c cr This book looks at how numbers and statistics have been used to underpin quality in news reporting. In doing so, the aim is to challenge some common assumptions about how journalists engage and use statistics in their quest for quality news. It seeks to improve our understanding about the usage of data and statistics as a primary means for the construction of social reality. This is a task, in our view, that is urgent in times of 'post-truth' politics and the rise of 'fake news'. In this sense, the quest to produce 'quality' news, which seems to require incorporating statistics and engaging with data, as laudable and straightforward as it sounds, is instead far more problematic and complex than what is often accounted for. Lugo-Ocando, Jairo Erscheint auch als Druck-Ausgabe 9781785275333 |
| spellingShingle | Martinisi, Alessandro Statistics and the quest for quality journalism a study in quantitative reporting |
| title | Statistics and the quest for quality journalism a study in quantitative reporting |
| title_auth | Statistics and the quest for quality journalism a study in quantitative reporting |
| title_exact_search | Statistics and the quest for quality journalism a study in quantitative reporting |
| title_full | Statistics and the quest for quality journalism a study in quantitative reporting Alessandro Martinisi, Jairo Lugo-Ocando |
| title_fullStr | Statistics and the quest for quality journalism a study in quantitative reporting Alessandro Martinisi, Jairo Lugo-Ocando |
| title_full_unstemmed | Statistics and the quest for quality journalism a study in quantitative reporting Alessandro Martinisi, Jairo Lugo-Ocando |
| title_short | Statistics and the quest for quality journalism |
| title_sort | statistics and the quest for quality journalism a study in quantitative reporting |
| title_sub | a study in quantitative reporting |
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