Praxis
  • Get Started
    • Quickstart Guide
  • Courses
    • AMNE-376
    • SOCI-415
    • SOCI-280
    • ECON-227

    • Browse All
  • All Topics
  • Teach with prAxIs
    • Learn how to teach with prAxIs
  • Launch prAxIs
    • Launch on JupyterOpen (with Data)
    • Launch on JupyterOpen (lite)
    • Launch on Syzygy
    • Launch on Colab
    • Launch Locally

    • Github Repository
  • |
  • About
    • prAxIs Team
    • Copyright Information
Categories
All (2)
Python (2)
SOCI 280 (2)
lesson plan (1)
natural language processing (2)
sentiment analysis (2)

Data and Society: Exploring Disinformation through Textual Analysis (SOCI 280)

Published

5 September 2025

This section contains material to support UBC’s Data and Society (SOCI 280). Below, you can find:

  • A link to the lesson plan for the module, outlining suggested activities and time-frames.
  • A link to the notebook for the module, which contains the content, code, and activities.

Modules

Introduction to Sentiment Analysis: Identifying and Mapping Disinformation Campaigns using NLP
An introduction to BERT-based NLP using online examples of disinformation and exploration of how embeddings and classification models can be used to analyze and detect…
24 Jul 2025

Lesson Plan: Introduction to Sentiment Analysis
Duration: 110 minutes
Course: SOCI 280
24 Jul 2025
No matching items
  • Creative Commons License. See details.
 

Report an issue

  • The prAxIs Project and UBC are located on the traditional, ancestral and unceded territory of the xʷməθkʷəy̓əm (Musqueam) and Sḵwx̱wú7mesh (Squamish) peoples.