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  3. Measuring The Semantic Priming Effect Across Many Languages.
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  3. Measuring The Semantic Priming Effect Across Many Languages.

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Measuring the semantic priming effect across many languages.

Erin M Buchanan1, Kelly Cuccolo2, Tom Heyman3

  • 1Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, USA. ebuchanan@harrisburgu.edu.

Nature Human Behaviour
|September 24, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Semantic priming, the effect where related words are processed faster, is robust across 19 languages. This large-scale study reveals significant variability in semantic priming effects between different languages.

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Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Cross-linguistic Research

Background:

  • Semantic priming is a well-established phenomenon in cognitive psychology.
  • Previous research often lacked linguistic diversity and large sample sizes.
  • Understanding semantic representations requires cross-linguistic validation.

Purpose of the Study:

  • To quantify the semantic priming effect across a diverse range of 19 languages.
  • To investigate the variability of semantic priming across different linguistic contexts.
  • To establish the largest database of semantic priming values to date.

Main Methods:

  • Utilized an adaptive sampling procedure for data collection.
  • Analyzed data from 25,163 participants across 19 languages.
  • Employed response latency differences between related and unrelated word pairs to measure priming.

    • Main Results:

    • Confirmed the presence of semantic priming across all studied languages.
    • Demonstrated significant variability in the semantic priming effect between languages.
    • Statistical models indicated that language is a significant factor influencing priming effects.

    Conclusions:

    • Semantic priming is a robust cognitive phenomenon observable across diverse languages.
    • Linguistic and cultural factors contribute to the variability of semantic priming.
    • The study provides a valuable, large-scale, multilingual dataset for future research on semantic cognition.