Data + Journalism: A Story-Driven Approach to Learning Data Reporting
暫譯: 數據 + 新聞：以故事為驅動的數據報導學習方法
Reilley, Mike, Sunne, Samantha
- 出版商: Routledge
- 出版日期: 2026-07-28
- 售價: $2,240
- 貴賓價: 9.5 折 $2,128
- 語言: 英文
- 頁數: 268
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041160496
- ISBN-13: 9781041160496
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相關分類:
Data-mining
海外代購書籍(需單獨結帳)
商品描述
In this second edition Data + Journalism continues to be a practical guide for journalists working with data and reporting data-driven stories.
The second edition of this popular text has been updated to include expanded coverage of artificial intelligence uses, revised sections on social media scraping and writing code, and new examples, tipsheets and training videos throughout. Also new to the book is expanded guidance on diversifying sources, finding accurate datapoints and including a multitude of voices.This book offers insights into data journalism from a global perspective, including datasets and interviews with data journalists from around the world. With examples drawn from frequently updated sets of open data posted by authoritative sources like the IMF, Eurostat and the US Census Bureau, the book takes a deep dive into data journalism's "heavy lifting" - searching for, scraping, and cleaning data. It again features useful resources at the end of each chapter, such as exercises and video training supplements, that help readers learn how to craft compelling, human-driven news stories based on solid analysis.
Data + Journalism, Second Edition is essential reading for reporting, data journalism, investigative and public records courses at the sophomore to graduate level and for early career professionals seeking a comprehensive introduction to data journalism skills.
This book is supported at DataPlusJournalism.com, with updated tools, formulas, best practices and book updates post-production.
商品描述(中文翻譯)
在這本第二版的《數據 + 新聞學》中，繼續作為一個實用指南，幫助記者使用數據並報導數據驅動的故事。這本受歡迎的書籍第二版已更新，擴展了人工智慧應用的內容，修訂了社交媒體抓取和編寫程式碼的部分，並新增了範例、提示表和訓練影片。此外，書中還新增了有關多元化來源、尋找準確數據點和納入多種聲音的擴展指導。本書提供了全球視角下的數據新聞學見解，包括來自世界各地數據記者的數據集和訪談。書中以國際貨幣基金組織（IMF）、歐洲統計局（Eurostat）和美國人口普查局等權威來源發布的經常更新的開放數據集為例，深入探討數據新聞學的「重任」——搜尋、抓取和清理數據。每章結尾再次提供有用的資源，如練習和視頻訓練補充材料，幫助讀者學習如何根據扎實的分析撰寫引人入勝的人性化新聞故事。
《數據 + 新聞學，第二版》是報導、數據新聞學、調查和公共記錄課程的必讀書籍，適合大二到研究生階段的學生，以及尋求全面介紹數據新聞學技能的早期職業專業人士。
本書在 DataPlusJournalism.com 獲得支持，提供更新的工具、公式、最佳實踐和書籍後續更新。
作者簡介
Mike Reilley is a senior lecturer in journalism at The University of Illinois Chicago, USA. He is also the author of The Journalist's Toolbox: A Guide to Digital Reporting and AI.
Samantha Sunne is a freelance journalist based in New Orleans. She is the recipient of several national grants and awards for investigative reporting, and has worked with publications including ProPublica, the Poynter Institute and The Washington Post.
作者簡介(中文翻譯)
邁克·瑞利 (Mike Reilley) 是美國伊利諾伊大學芝加哥分校的新聞學高級講師。他也是記者工具箱：數位報導與人工智慧指南 (The Journalist's Toolbox: A Guide to Digital Reporting and AI)的作者。
薩曼莎·桑恩 (Samantha Sunne) 是一位駐紐奧良的自由記者。她曾獲得多項全國性調查報導的補助金和獎項，並與包括ProPublica、Poynter Institute和華盛頓郵報 (The Washington Post)等出版物合作過。
