Abstract
Abstract To what extent does the wording and syntactic form of people's writing reflect their personalities? Using a bottom-up stratified corpus comparison, rather than the top-down content analysis techniques that have been used before, we examine a corpus of e-mail messages elicited from individuals of known personality, as measured by the Eysenck Personality Questionnaire–Revised (S. Eysenck, Eysenck, & Barrett, 1985). This method allowed us to isolate linguistic features associated with different personality types, via both word and part-of-speech n-gram analysis. We investigated the extent to which extraversion is associated with linguistic features involving positivity, sociability, complexity, and implicitness and neuroticism is associated with negativity, self-concern, emphasis, and implicitness. Numerous interesting features were uncovered. For instance, higher levels of extraversion involved a preference for adjectives, whereas lower levels of neuroticism involved a preference for adverbs. However, neither positivity nor negativity was as prominent as expected, and there was little evidence for implicitness.
Keywords
Related Publications
The effects of surface tension and viscosity on the stability of two superposed fluids
ABSTRACT The effect of surface tension on the stability of two superposed fluids can be described in a universal way by a non-dimensional ‘surface tension number’ S which provid...
MacClade 4.0: analysis of phylogeny and character evolution
MacClade is a computer program, with accompanying manual, that provides theory and tools for the graphic and interactive analysis of molecular and morphological data, phylogeny,...
Co‐Authorship in Management and Organizational Studies: An Empirical and Network Analysis*
In recent decades there has been growing interest in the nature and scale of scientific collaboration. Studies into co‐authorship have taken two different approaches. The first ...
Publication Info
- Year
- 2006
- Type
- article
- Volume
- 42
- Issue
- 3
- Pages
- 239-270
- Citations
- 134
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1207/s15326950dp4203_1