Social Media Observatory

Learn how to build a panoramic observatory app for monitoring and collecting datasets from major social-media platforms and online communities--no prior programming experience required!

Whether you're a security researcher, a journalist, an activist, or a scholar, this book is an essential blueprint for building your window into online worlds.

Analyzing the billions of social media posts published daily online provides essential data for modern researchers--and this book gives you the tools to build a panoramic view of the digital-community discourse out there waiting to be discovered. Social Media Observatory is an in-depth beginner's guide to coding web applications that monitor commentary on the major platforms in real time, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions.

You'll first set up a working observatory for public channels on the instant messaging app Telegram, then incorporate Instagram and Twitter with help from the Wayback Machine. You'll detect Twitter bots via account birth charts, extract text-embedded URLs for analysis, plot interactive Telegram networks to enumerate media bubbles, and map the structure of a social movement on Instagram. Finally, you'll deploy your observatory to a remote server to collaborate with other investigators. By the end of the book, you'll have a working website that allows team members to log in, request data collection, and perform analysis of collected data, via an intuitive and user-friendly interface.

Along the way, you'll learn to:

• Use Python libraries to retrieve Telegram data from a remote API
  
• Analyze the data you've retrieved with PostgreSQL, RabbitMQ, and other tools
  
• Store data in a relational database
  
• Create and securely deploy an interactive dashboard for data collection and analysis in the cloud
  
• Modify your observatory's functionality to suit your needs
  

Whether you're a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

學習如何建立一個全景觀測應用程式，用於監控和收集主要社交媒體平台和線上社群的數據集，無需任何編程經驗！無論您是安全研究人員、記者、活動家還是學者，本書都是建立您對線上世界的窗口的重要藍圖。

每天在線上發布的數十億條社交媒體帖子為現代研究人員提供了必要的數據，而本書則為您提供了構建全景式數字社群對話視圖的工具。《社交媒體觀測站》是一本深入淺出的初學者指南，教您編寫監控主要平台上評論的網絡應用程式，實時提供對當今文化和政治對話的獨特洞察，並賦予您自己得出結論的能力。

您將首先在即時通訊應用程式Telegram上建立一個可用的觀測站，然後借助Wayback Machine將Instagram和Twitter整合進來。您將通過帳戶出生圖表檢測Twitter機器人，提取嵌入文本的URL進行分析，繪製互動式Telegram網絡以列舉媒體泡泡，並在Instagram上繪製社會運動的結構。最後，您將將觀測站部署到遠程服務器上，與其他調查人員進行協作。通過本書，您將擁有一個可供團隊成員登錄、請求數據收集並通過直觀且用戶友好的界面進行數據分析的工作網站。

在此過程中，您將學習：

- 使用Python庫從遠程API檢索Telegram數據
- 使用PostgreSQL、RabbitMQ和其他工具分析檢索到的數據
- 將數據存儲在關聯式數據庫中
- 在雲端創建並安全部署用於數據收集和分析的互動式儀表板
- 修改觀測站的功能以滿足您的需求

無論您是安全研究人員、記者、活動家還是學者，《社交媒體觀測站》都是建立您對線上世界的窗口的重要藍圖。

Alexei Sisulu Abrahams is a postdoctoral research fellow with Joan Donovan's Technology and Social Change Project at the Harvard Kennedy School. He holds a PhD in Economics from Brown University and has over a decade of experience leading research investigations at Harvard, Princeton, Citizen Lab, and the World Bank. A social scientist by training, he learned to code by taking classes, online courses, and reading No Starch Press books.

Alexei Sisulu Abrahams是哈佛肯尼迪學院Joan Donovan的科技與社會變革項目的博士後研究員。他擁有布朗大學經濟學博士學位，並在哈佛大學、普林斯頓大學、公民實驗室和世界銀行等地擔任研究調查領導者已有十多年的經驗。作為一位社會科學家，他通過參加課程、線上課程和閱讀No Starch Press的書籍學習編程。