About Check Text Bias

Who We Are

Check Text Bias turns hidden influence into visible insight. Using AI, it uncovers an article’s lean and the bias cues behind it—framing, selection, confirmation, and emotional appeal—so individuals and teams make clearer decisions. We stand for transparency, media literacy, and independent thinking.

Built on Expertise

Created by Mind Metrology and led by Joel, Check Text Bias combines state-of-the-art large language models with data science. Joel’s academic work has been widely cited, and his background spans advanced statistical modeling, experimental social science, and applied AI development.
Joel Vuolevi, PhD
Founder
Principal Scientist & Developer

What Makes Us Different

  • AI + Social Science: Large language models guided by research-backed criteria from linguistics and social psychology.
  • Transparent Reports: Clear bias meters, stance indicators, and category explanations you can interpret at a glance.
  • Fast & Scalable: Analyze a single article or hundreds in seconds with consistent outputs.
  • Objective by Design: Fully automated analysis—no human reviewers influencing results.

Who Uses Check Text Bias

  • Casual Readers & News Consumers: Use AI bias detection with position detection to spot pro/anti leanings and the framing behind them.
  • Daily News Readers: Identify stance first, then detect emotional appeal and selection bias to build stronger media literacy.
  • General Readers: Compare stance across outlets and analyze framing bias to find more balanced reporting.
  • Political Readers: Separate fact from opinion, then opinion from influence by detecting confirmation and framing bias.
  • News Consumers: View pro/anti stance and framing bias together to separate narrative from facts in breaking news.
  • Students & Educators: Analyze stance first, then detect selection and emotional appeal to improve academic writing quality.
  • Moderators & Community Managers: Check position and bias in user posts to maintain fairness and reduce undue influence.
  • Writers & Bloggers: Use writing style analysis with framing and sentiment cues to keep opinion fair, not manipulative.
  • Journalists & Fact-Checkers: Audit pro/anti stance, then evaluate confirmation and selection bias to keep stories credible.
  • Researchers & Policy Analysts: Surface stance first, then check for selection bias to ensure representative evidence in reports.
  • Educators & Media Literacy Instructors: Teach the flow: fact → opinion (stance) → influence (bias). Build critical thinking skills with real texts.

Mind Metrology Ecosystem

Check Text Bias is a proud member of the Mind Metrology ecosystem—a family of tools that make human perspectives measurable and actionable, giving creators and decision-makers rapid, evidence-based insight. Explore our apps below.

Text analysis & LLM-powered tools

Participant-powered tools

Take a look around these apps to find the right fit. For general inquiries about Mind Metrology, visit our website or email us directly.

What Next