Literature DB >> 35286618

Quantifying social semantics: An inclusive definition of socialness and ratings for 8388 English words.

Veronica Diveica1, Penny M Pexman2, Richard J Binney3.   

Abstract

It has been proposed that social experience plays an important role in the grounding of concepts, and socialness has been proffered as a fundamental organisational principle underpinning semantic representation in the human brain. However, the empirical support for these hypotheses is limited by inconsistencies in the way socialness has been defined and measured. To further advance theory, the field must establish a clearer working definition, and research efforts could be facilitated by the availability of an extensive set of socialness ratings for individual concepts. Therefore, in the current work, we employed a novel and inclusive definition to test the extent to which socialness is reliably perceived as a broad construct, and we report socialness norms for over 8000 English words, including nouns, verbs, and adjectives. Our inclusive socialness measure shows good reliability and validity, and our analyses suggest that the socialness ratings capture aspects of word meaning which are distinct to those measured by other pertinent semantic constructs, including concreteness and emotional valence. Finally, in a series of regression analyses, we show for the first time that the socialness of a word's meaning explains unique variance in participant performance on lexical tasks. Our dataset of socialness norms has considerable item overlap with those used in both other lexical/semantic norms and in available behavioural mega-studies. They can help target testable predictions about brain and behaviour derived from multiple representation theories and neurobiological accounts of social semantics.
© 2022. The Author(s).

Entities:  

Keywords:  Grounded cognition; Lexical decisions; Semantic cognition; Social cognition; Word ratings

Year:  2022        PMID: 35286618     DOI: 10.3758/s13428-022-01810-x

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  38 in total

1.  Concreteness ratings for 40 thousand generally known English word lemmas.

Authors:  Marc Brysbaert; Amy Beth Warriner; Victor Kuperman
Journal:  Behav Res Methods       Date:  2014-09

2.  Moving beyond Kucera and Francis: a critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English.

Authors:  Marc Brysbaert; Boris New
Journal:  Behav Res Methods       Date:  2009-11

Review 3.  Words as social tools: Language, sociality and inner grounding in abstract concepts.

Authors:  Anna M Borghi; Laura Barca; Ferdinand Binkofski; Cristiano Castelfranchi; Giovanni Pezzulo; Luca Tummolini
Journal:  Phys Life Rev       Date:  2018-12-06       Impact factor: 11.025

4.  Toward a brain-based componential semantic representation.

Authors:  Jeffrey R Binder; Lisa L Conant; Colin J Humphries; Leonardo Fernandino; Stephen B Simons; Mario Aguilar; Rutvik H Desai
Journal:  Cogn Neuropsychol       Date:  2016-06-16       Impact factor: 2.468

5.  Fronto-temporal brain activity and connectivity track implicit attention to positive and negative social words in a novel socio-emotional Stroop task.

Authors:  Maria Arioli; Gianpaolo Basso; Paolo Poggi; Nicola Canessa
Journal:  Neuroimage       Date:  2020-11-19       Impact factor: 6.556

Review 6.  Social Semantics: The role of conceptual knowledge and cognitive control in a neurobiological model of the social brain.

Authors:  Richard J Binney; Richard Ramsey
Journal:  Neurosci Biobehav Rev       Date:  2020-01-23       Impact factor: 8.989

7.  The English Lexicon Project.

Authors:  David A Balota; Melvin J Yap; Michael J Cortese; Keith A Hutchison; Brett Kessler; Bjorn Loftis; James H Neely; Douglas L Nelson; Greg B Simpson; Rebecca Treiman
Journal:  Behav Res Methods       Date:  2007-08

8.  Test-based age-of-acquisition norms for 44 thousand English word meanings.

Authors:  Marc Brysbaert; Andrew Biemiller
Journal:  Behav Res Methods       Date:  2017-08

9.  Mapping the Multiple Graded Contributions of the Anterior Temporal Lobe Representational Hub to Abstract and Social Concepts: Evidence from Distortion-corrected fMRI.

Authors:  Richard J Binney; Paul Hoffman; Matthew A Lambon Ralph
Journal:  Cereb Cortex       Date:  2016-10-01       Impact factor: 5.357

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