CoChat
Sign Up
Cited by 1Mental Health via WritingAuthorship Attribution and ProfilingPsychological Testing and Assessment

Linguistic Analysis in Personality Research (including the Linguistic Inquiry and Word Count)

Kerr, Margaret L., Borelli, Jessica L.·2020·The Wiley Encyclopedia of Personality and Individual Differences
DOI 10.1002/9781119547167.ch82
Open this paper in CoChat — free account

Abstract

Linguistic analysis reveals a great deal about human thoughts, behaviors, and emotions. The most popular application for analyzing word use, Linguistic Inquiry and Word Count (LIWC) uses computer software to systematically categorize word usage in spoken and written language. Major contributions of linguistic analysis in personality assessment will be reviewed here.

Integrity signals

Registry

Crossref · 10.1002/9781119547167.ch82

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Personality factors influence language.

    “Several studies utilizing the Big Five Inventory have confirmed that personality factors influence language (Kerr & Borelli, 2020):”

    From The Role of Personality in Language Learning (2026) · cites this paper as Kerr & Borelli, 2020

Cites

Flagged first, then by citations

Research works printed but not linked: 23

  1. 10.1111/j.1475-6811.2012.01394.x · DOI · Paper page
  2. 10.1111/pere.12104 · DOI
  3. Chung C., 2007, The psychological functions of function words, Social Communication, 1, 343
  4. 10.1111/j.0956-7976.2004.00741.x · DOI · Paper page
  5. 10.1177/0093650209351468 · DOI
  6. 10.1027/0227-5910.28.2.102 · DOI
  7. 10.1177/1077801207307801 · DOI
  8. 10.1177/0956797610392928 · DOI
  9. Kahn J. H., 2007, Measuring emotional expression with the Linguistic Inquiry and Word Count, American Journal of Psychology, 120, 263, 10.2307/20445398 · DOI
  10. 10.1177/0261927X14526993 · DOI
  11. 10.1037/0022-3514.90.5.862 · DOI · Paper page
  12. 10.1177/0146167203029005010 · DOI
  13. Niederhoffer K. G., 2002, Handbook of positive psychology, 573
  14. Pennebaker J. W., 2001, Linguistic inquiry and word count (LIWC): LIWC 2001
  15. 10.1037/0022-3514.77.6.1296 · DOI · Paper page
  16. 10.1037/0022-3514.85.2.291 · DOI · Paper page
  17. 10.1037/a0013238 · DOI
  18. 10.1080/02699930441000030 · DOI · Paper page
  19. 10.1111/j.1467-9280.2005.01639.x · DOI
  20. 10.1111/j.1475-6811.2008.00207.x · DOI
  21. 10.1097/00006842-200107000-00001 · DOI · Paper page
  22. 10.1177/0261927X09351676 · DOI · Paper page
  23. Pennebaker J. W., 2012, The secret life of pronouns: How our words reflect who we are

Cited by

Sorted by citations

Authors
Kerr, M. L., & Borelli, J. L.
Affiliations
  • University of Wisconsin–Madison (US)
  • University of California, Irvine (US)
ORCID
Borelli, Jessica L.
Venue
The Wiley Encyclopedia of Personality and Individual Differences
Publisher
Wiley
Published
2020-09-18
Pages
73-78
DOI
10.1002/9781119547167.ch82
OpenAlex
W4237534805
Cited by
1
References
3
Citations by year
2022: 1
Type
reference entry
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
Locations
Wiley eBooks (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
  • Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
Keywords
LIWC, linguistic analysis, personality assessment, word usage, emotion recognition, text analysis, language and thought

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review