Make bias visible
An article feels slanted — but where exactly? Klyptra shows six dimensions with a score and a verbatim quote, instead of just a gut feeling: whether it's the framing, the word choice or the source diversity.
Use cases
Three audiences, three problems.
Klyptra isn't equally useful to everyone. This page describes concretely what each group can do with Klyptra — and where the limits are.
01 · Citizens
Understand your media diet without a linguistics degree
Anyone who regularly reads three or four sources has an intuitive sense of their quirks — but rarely hard evidence. Klyptra turns that gut feeling into a traceable profile.
Put a single article in context
A viral article lands in your timeline. With Klyptra you can analyze the text directly — including verbatim evidence of which words carry the bias.
Check your own echo chamber
If all your sources have similar bias profiles, you are systematically reading one particular perspective. Klyptra makes that visible — without dictating what you should read.
What Klyptra is not for this group
Klyptra doesn't decide for you what is true. It shows how something is told — the judgment stays with you.
02 · Newsrooms & media outlets
Make your own editorial line visible
Editorial leadership usually knows well how it positions itself. The harder question is: do we hold that line in daily operations — and where do we drift unnoticed?
Check texts before publication
Before publication, a piece can be checked for framing, source diversity and fact/opinion separation — where does an unintended slant creep in, before readers comment on it?
Six dimensions instead of gut feeling
Instead of “that sounds slanted,” Klyptra delivers six separate scores with verbatim evidence — a debatable basis, not mere intuition.
Evidence chains for internal discussion
When the newsroom debates loaded words, verbatim capture helps: which words exactly did the model mark as evaluative — and does the newsroom share that assessment?
What Klyptra is not for this group
Klyptra is not a disciplinary tool. Profiles are not made public without the newsroom's consent.
03 · Research & academia
Reproducible empirics for media research
Empirical media research often fails at data acquisition. Klyptra documents methodology and model versions publicly — and provides JSON exports of all analyses.
Quarterly datasets
Each quarter, a complete dataset of all analyzed articles with scores, verbatim evidence and model provenance. CSV and JSON, documented schema.
MBIB comparison values
Klyptra's performance on MBIB subtasks is reported quarterly. Comparability with other bias-detection systems is an explicit design goal.
Custom analyses on request
Research questions that go beyond a single on-demand analysis (special topics, larger text volumes, longer time spans) can be covered by the Klyptra team on academic request.
What Klyptra is not for this group
Klyptra does not replace qualitative content analysis. For in-depth single-case studies, classic CDA methods are still needed.
Beta access
Which use case applies to you?
Join the beta list and tell us your role — we open the beta in waves, with research and newsrooms first.
Join the beta list