Quantifying scientific jargon

Autor: Leila Belle Sterman, Shannon D. Willoughby, Keith Johnson
Rok vydání: 2020
Předmět:
Zdroj: Public understanding of science (Bristol, England). 29(6)
ISSN: 1361-6609
0963-6625
Popis: When scientists disseminate their work to the general public, excessive use of jargon should be avoided because if too much technical language is used, the message is not effectively conveyed. However, determining which words are jargon and how much jargon is too much is a difficult task, partly because it can be challenging to know which terms the general public knows, and partly that it can be challenging to ensure scientific accuracy while avoiding esoteric terminology. To help address this issue, we have written an R script that an author can use to quantify the amount of scientific jargon in any written piece and make appropriate edits based on the target audience.Willoughby, Quantifying scientific jargon, 'Public Understanding of Science' (, ) pp. 096366252093743. Copyright © 2020. DOI: 10.1177/0963662520937436. Users who receive access to an article through a repository are reminded that the article is protected by copyright and reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference. For permission to reuse an article, please follow our Process for Requesting Permission. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing help@openaccessbutton.org.
Databáze: OpenAIRE
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