Mining Social Media: Finding Stories in Internet Data

Vo, Lam Thuy

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商品描述

BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language.

Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media.

Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories.

Learn how to:
- Write Python scripts and use APIs to gather data from the social web
- Download data archives and dig through them for insights
- Inspect HTML downloaded from websites for useful content
- Format, aggregate, sort, and filter your collected data using Google Sheets
- Create data visualizations to illustrate your discoveries
- Perform advanced data analysis using Python, Jupyter Notebooks, and the pandas library
- Apply what you've learned to research topics on your own

Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.

商品描述(中文翻譯)

BuzzFeed新聞的高級記者Lam Thuy Vo解釋了如何使用Python編程語言從社交網絡中挖掘、處理和分析數據的方法。

假的Twitter帳戶是否有助於影響總統選舉?Facebook和Reddit的存檔能告訴我們有關人類行為的什麼信息?在《挖掘社交媒體》一書中,BuzzFeed的高級記者Lam Thuy Vo向您展示如何使用Python和關鍵的數據分析工具來發現社交媒體中隱藏的故事。

無論您是專業記者、學術研究人員還是公民調查者,您都將學習如何使用技術工具從社交媒體來源收集和分析數據,以建立引人入勝的數據驅動故事。

學習如何:
- 編寫Python腳本並使用API從社交網絡中收集數據
- 下載數據存檔並通過挖掘其中的信息獲取洞察
- 檢查從網站下載的HTML以獲取有用的內容
- 使用Google Sheets格式化、聚合、排序和過濾收集的數據
- 創建數據可視化圖表以展示您的發現
- 使用Python、Jupyter Notebooks和pandas庫進行高級數據分析
- 將所學應用於自己的研究主題

社交媒體中充滿了成千上萬個等待被揭示的隱藏故事。學習使用專業人士使用的數據挖掘工具,撰寫您自己的數據驅動故事。

作者簡介

Lam Thuy Vo is a senior reporter at BuzzFeed News where she focuses on the intersection of technology, society, and social media data. She has reported for The Wall Street Journal, Al Jazeera America, and NPR's Planet Money, telling economic stories across the US and throughout Asia. Vo has also spent over a decade as an educator, training newsrooms and developing courses for the Craig Newmark Graduate School of Journalism at CUNY.

作者簡介(中文翻譯)

Lam Thuy Vo 是 BuzzFeed News 的高級記者,專注於科技、社會和社交媒體數據的交集。她曾為《華爾街日報》、Al Jazeera America 和 NPR 的 Planet Money 報導,講述美國和亞洲各地的經濟故事。Vo 也擔任教育工作者超過十年,培訓新聞室並為 CUNY 的 Craig Newmark 研究生新聞學院開發課程。