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Correction Pattern Browser Plugin

A lightweight browser extension (Chrome/Firefox) that researchers install once. When they visit a journal article or abstract page, the plugin auto-detects the journal name and instantly displays a correction-risk badge (green/yellow/red) with a one-sentence summary: 'This journal has 2.1% correction rate (vs. 0.4% baseline)' and a 'View full audit' link. Data comes from a pre-computed, regularly-updated database of journal correction profiles. No login required; free tier shows basic badge, premium tier shows detailed trend charts and peer comparisons.

PLUGIN

23 weeks • 70% confidence

Value Proposition

Instant, frictionless credibility check at the moment of reading. No extra steps, no dashboard to log into. Reduces time to assess journal trustworthiness from 10 minutes to 2 seconds. Researchers avoid citing problematic journals without thinking.

Target Audience

Individual researchers, graduate students, postdocs, medical residents reading papers daily. Secondary: librarians installing for institution-wide access.

Key Features

  • Auto-detect journal from article URL or metadata
  • Real-time badge display: correction rate, trend arrow, risk category
  • Hover tooltip: '12 corrections in last 2 years, 0.8% rate, trending up'
  • And more, with full implementation detail...

Tech Stack

JavaScript (Chrome/Firefox extension development) Manifest V3 (Chrome extension standard) React or Preact (lightweight UI for popup/badge) PostgreSQL or Firebase (user accounts, subscription data)
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Original Problem

Researchers cannot reliably assess journal credibility when publications have unexplained correction patterns

Academics and researchers face uncertainty when deciding whether to trust new articles from journals with abnormally high correction rates on older publications. Current solutions fail because journal impact factors and reputation metrics don't account for correction frequency or patterns, leaving researchers unable to quickly evaluate whether a journal's quality is declining or if they should cite recent papers with confidence.

Score: 17.5%