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Generic language in scientific communication.

Jasmine M DeJesus1, Maureen A Callanan2, Graciela Solis3

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Summary
This summary is machine-generated.

Scientists often use generic language in psychology articles, overgeneralizing findings. This can mislead readers into believing results are more broadly applicable than they are, impacting scientific understanding.

Keywords:
diversitygeneric languagemetasciencepsychological researchscientific communication

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Area of Science:

  • Psychology
  • Scientific Communication
  • Linguistics

Background:

  • Scientific communication aims to present clear conclusions while acknowledging evidence limitations.
  • Limited publication formats can pressure authors to simplify complex data, potentially favoring clarity over nuance.
  • Generic language in scientific articles may overgeneralize findings, especially when based on unrepresentative samples.

Purpose of the Study:

  • To examine the prevalence and implications of generic language in psychology research.
  • To investigate how generic language affects readers' perceptions of scientific findings.
  • To understand the unintended consequences of language choices in scientific reporting.

Main Methods:

  • Study 1: Text analysis of 1,149 psychology articles (2015-2016) to quantify generic language use in titles, highlights, and abstracts.
  • Studies 2-4: Reader perception studies (n=1,578) assessing the impact of generic versus nongeneric language on perceived importance and generalizability.

Main Results:

  • Generic language was prevalent in 89% of psychology articles, often appearing in shorter sections like research highlights.
  • The use of generic language was not associated with sample size.
  • Readers perceived findings presented with generic language as more important and generalizable than those with nongeneric language.

Conclusions:

  • The ubiquitous use of generic language in psychology may lead to overgeneralization and misinterpretation of research findings.
  • Authors' language choices can unintentionally inflate the perceived scope and significance of scientific results.
  • Understanding the implications of generic language is crucial for improving scientific communication and accurate data interpretation.