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Transference Coder

A self-contained qualitative coding application for labeling transference patterns in AI companion community posts. Built for a study analyzing 1,000 Reddit posts across r/replika, r/KindroidAI, r/CharacterAI, r/therapyGPT, and r/MyBoyfriendIsAI.

No installation, no server, no dependencies. Everything runs in a single HTML file in your browser.

Usage

  1. Download transference_coder.html
  2. Open it in Chrome
  3. Upload your CSV file
  4. Code away — progress autosaves to your browser's local storage
  5. Export your CSV at the end of each session to save your work to disk

Features

  • Guided 7-step coding flow — steps activate, dim, or mark as N/A based on prior answers
  • Keyboard shortcuts — numpad-mapped for high-volume coding efficiency
  • Jump to index — navigate directly to any row by number
  • Text highlighting — select and annotate passages in post text; exports to CSV
  • Ambiguous case flagging — flag uncertain posts; exports as a binary ambiguous column
  • Overview & charts — live transference rates, type distribution, valence and intention breakdowns
  • Coder notes search — search across all your notes entries
  • Research memo pad — free-form scratch pad for cross-dataset observations
  • Text-to-speech — read posts aloud with adjustable speed
  • Session timer & streak counter — track momentum across long coding sessions
  • Autosave — progress saved to localStorage continuously; restored on re-upload
  • Round-trip CSV — exported CSV preserves highlights and flags for the next session

Coding Schema

Posts are coded across seven steps:

Step Field Notes
1 self_disclosure Present in all posts
2 manual_label_transference SD=1 only
3 transference_valence T=1 only
4 post_intention SD=1 only
5 Metadata Age, gender, relationship status, alt tool
6 Transference types T=1 only
7 manual_coder_notes Required if type_other=1

Media coding and the ambiguous flag apply to all posts.

Requirements

  • Google Chrome (recommended for text-to-speech support)
  • A CSV file matching the expected 34-column schema

Notes

All data stays in your browser. Nothing is uploaded anywhere.

About

Browser-based qualitative coding tool for labeling transference patterns in AI companion Reddit posts. No server, no install — runs entirely from a single HTML file. See walkthrough below!

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