For journalists
Journalists can use deHype to identify and address common overclaiming patterns when reporting on health and science stories. The site helps with fact-checking evidence strength, highlighting study limitations, and improving headline accuracy.
deHype is a tool designed to help journalists navigate health and science reporting with greater accuracy and caution. Science and health stories often risk overstating evidence, omitting key caveats, or misunderstanding the strength of research findings. Journalists play a crucial role in informing the public, so careful assessment of evidence is essential to avoid amplifying misleading claims.
How deHype Can Help
- Quick study checks: See at a glance whether a highlighted study was conducted in humans, animals, or only in cells. This basic step helps avoid confusion about what the results mean for real-world health.
- Identify missing caveats: Use deHype’s breakdowns to spot limitations or gaps in studies—such as small sample sizes, short follow-up periods, or indirect outcomes—that should be communicated clearly to readers.
- Headline and framing guidance: Find specific guidance on how to write headlines and story introductions that reflect the real strength (or weaknesses) of the evidence, reducing the risk of overclaiming.
- Source chain clarity: Trace how a claim is linked back to source studies. deHype highlights when secondary reports or press releases have distorted the original research.
- Evidence literacy resources: Access plain-language explainers and guides on reading study results, understanding statistics, and interpreting uncertainty in science.
Common Reporting Pitfalls deHype May Help Avoid
- Overstating causation: Reporting that an intervention "prevents" or "causes" a health outcome when evidence only shows association or is based on low-strength study designs.
- Ignoring study population: Assuming findings in animals or very specific groups translate to the general public.
- Neglecting study limitations: Failing to mention small sample sizes, short duration, or lack of control groups can mislead audiences about reliability.
- Overgeneralizing early results: Describing early or preliminary results as if they are ready to inform clinical or public health decisions.
Using deHype for Story Preparation
- Before publishing, run your claims through deHype’s evidence check features to see if caveats or key context may be missing.
- Consult deHype’s plain-language study summaries for clearer communication to non-expert audiences.
- Review the platform’s guidance on responsible framing and headline writing.
By using deHype as part of your research process, you can help ensure your reporting promotes accurate understanding of health and science evidence among the public.