v4.1.0 Data Labeler Tool
Overview
Launched the FIMI Taxonomy Data Labeler - a professional research annotation tool that enables analysts and researchers to apply taxonomy labels to text samples and generate structured reports.
Core Features
Interactive Text Annotation
- Select any portion of text to annotate
- Apply multiple taxonomy categories simultaneously:
- Functions - Strategic purposes of manipulation
- Mechanisms - Specific tactics and tools
- Terrain - Environmental vulnerability factors
- Channels - Platforms and media types
Smart Label Management
- Mechanism dropdown dynamically filters based on selected Function
- Real-time text highlighting with taxonomy-coded colors:
- Mulberry (
#551638) for Functions - Light mulberry (
#7B2D5F) for Mechanisms - Green (
#27ae60) for Terrain - Purple (
#8e44ad) for Channels
- Mulberry (
Live Analytics Dashboard
- Real-time statistics by category
- Annotation history panel with excerpts
- Visual breakdown of taxonomy application
Multi-Format Export
Generate structured reports in three formats:
- JSON - Machine-readable with full metadata
- CSV - Spreadsheet-compatible for analysis
- Markdown - Human-readable documentation
Design Philosophy
The labeler matches the main taxonomy site’s aesthetic:
- Typography: Crimson Pro (headings), Work Sans (body), IBM Plex Mono (metadata)
- Colors: InfoEpi.org mulberry palette
- Layout: Grid-based cards with colored top borders
- Approach: Academic interface design - clean, text-focused, professional
Use Cases
Research Analysis
Document FIMI operations by annotating: - News articles about disinformation campaigns - Social media content showing manipulation tactics - Government reports on foreign interference
Training Materials
Create annotated examples for: - Analyst training programs - Academic courses on information manipulation - Public education initiatives
Case Documentation
Build evidence repositories: - Tag incidents with taxonomy categories - Export structured data for research papers - Generate reports for stakeholders
Technical Implementation
Single-file HTML application (labeler.html):
- No dependencies or build process required
- Runs entirely in browser
- Privacy-focused - all data stays local
- Offline-capable after initial load
Access
The labeler is available at: labeler.html
Open in any modern browser to start annotating immediately.
Future Enhancements
Planned improvements:
- Batch text processing
- Saved annotation projects
- Airtable integration for collaborative analysis
- PDF import/export
- Citation generation for annotated samples
Impact
This tool transforms the FIMI Taxonomy from a reference resource into an active research instrument, enabling systematic application of the taxonomy framework to real-world content.
FIMI Taxonomy by Information Epidemiology Lab.
Citation
@article{li2026,
author = {Li, E. Rosalie},
title = {V4.1.0 {Data} {Labeler} {Tool}},
date = {2026-02-14},
url = {https://fimi.infoepi.org/notes/v4.1.0-data-labeler-tool.html},
langid = {en}
}