Sign inGet started
Dataset · Hugging Face

copenlu/scientific-exaggeration-detection

Dataset Card for Scientific Exaggeration Detection Dataset Summary Public trust in science depends on honest and factual communication of scientific papers. However, recent studies have demonstrated a tendency of news media to misrepresent scientific papers by exaggerating their findings. Given this, we present a formalization of and study into the problem of exaggeration detection in science communication. While there are an abundance of scientific papers and… See the full description on the dataset page: https://huggingface.co/datasets/copenlu/scientific-exaggeration-detection.

Author / organizationcopenlu
License (as declared)gpl-3.0
Downloads227 (as reported by Hugging Face)
Likes4
Created17 August 2022
Last updated at source3 July 2024
scientific textscholarly textinferencefact checkingmisinformation
Embed this entry
<iframe src="https://silytics.si/embed/item/9c8c90a5-12a2-468c-ae4d-b9495e4b7b2a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

227 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: Dataset Card for Scientific Exaggeration Detection Dataset Summary Public trust in science depends on honest and factual communication of scientific papers. However, recent studies have demonstrated a tendency of news media to misrepresent → Dataset Card for Scientific Exaggeration Detection Dataset Summary Public trust in science depends on honest and factual communication of scientific papers. However, recent studies have demonstrated a tendency of news media to misrepresent

Changes detected by Silytics between refreshes of the source.

More from copenlu

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.