Social Media Observatory

Gain the technical skills to monitor millions of social media accounts for a panoramic view of online communities.

How can we analyze the billions of social media posts published daily online? For engineers, scholars, activists, or citizen scientists, this book is an in-depth guide to coding web applications that monitor discourse on social media platforms.

You'll first set up a working observatory for Twitter, then incorporate Instagram and Telegram. 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. You'll:

• Use Python libraries to retrieve Twitter data from a remote API

• Scrape archival data from the Wayback Machine

• 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

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. Get a bird's eye view of the social and political discourses of our time and empower yourself to reach your own conclusions.

Dettagli