This project aims to create a web-based, interactive visualization tool for exploring ideological spectrums and the relationships between different viewpoints. In a world of complex political, social, and philosophical ideas, visualizing these concepts can aid understanding, facilitate discussion, and support research.
The goal is to move beyond simple left-right lines and represent ideological landscapes in a more nuanced way, potentially using graph structures or multi-dimensional plots.
- Education: A visual aid for students in political science, sociology, philosophy, etc., to grasp the connections and distinctions between ideologies.
- Research: A tool for researchers to plot and analyze data related to ideological positioning derived from surveys, text analysis, or other sources.
- Journalism & Analysis: An illustrative graphic for articles or reports discussing political landscapes or ideological trends.
- Public Discourse: A shared visual framework to help structure and clarify discussions about different belief systems.
- Personal Learning: A way for individuals to explore and understand the diversity of ideological thought.
- Static display of a predefined ideological map using HTML and potentially a JavaScript library (like D3.js).
- Nodes representing specific ideologies or key figures/concepts.
- Basic web rendering.
- Interactivity: Hovering over nodes for tooltips, clicking for detailed information panels (definitions, key proponents, related concepts, sources).
- Data Customization: Ability to load different datasets defining ideologies and their relationships (e.g., via JSON).
- Layout Algorithms: Options for different visual layouts (e.g., force-directed graphs, clustered layouts, predefined spatial arrangements).
- Search & Filtering: Functionality to search for specific ideologies or filter the view based on categories.
- User Input: Allow users to (privately) place themselves on the map or compare different viewpoints.
- Multiple Dimensions: Representing ideology across more than just one or two axes.
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Clone the repository:
git clone https://github.com/calderwong/ideology-visualizer.git -
Navigate to the directory:
cd ideology-visualizer -
Open the
index.htmlfile directly in your web browser.Note: For features involving data loading (future), running a simple local web server might be necessary due to browser security restrictions (CORS).
python -m http.serveror similar.
Currently, simply open index.html to view the static visualization.
[Usage instructions will be updated as interactive features are added]
Contributions are welcome! Please feel free to submit pull requests or open issues to suggest features, report bugs, or improve the documentation.
(Placeholder - specific contribution guidelines can be added later)