Social cognition
Can the words a word keeps company with give it hidden feelings?
Open access · cc by · source: Europe PMC
Words that people rate as neutral, but that usually appear next to good or bad words in everyday language, still carry automatic positive or negative associations.
Study at a glance
- Design
- Human experiment — Within-subject evaluative priming: verb primes with positive/negative semantic prosody, valence-matched non-prosodic controls (and, in Study 2, strongly valenced verbs) shown for 200 ms before positive/negative target words (Study 1) or pictures (Study 2).
- N
- 78 students in Study 1 and 89 analysed in Study 2 (90 tested, one excluded); explicit valence came from existing norms, not from these participants.
- Population
- Introductory psychology undergraduates at a large Midwestern US university
- Outcome
- Speed of classifying positive vs negative targets after each prime (congruity effect, log reaction time)
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Key findings
In both studies, verbs with negative semantic prosody sped up classification of negative targets and verbs with positive prosody sped up positive targets, a congruity effect of small-to-medium size in Study 1 (d about 0.3) and medium-to-large in Study 2 (d about 0.6-0.7). Valence-matched control verbs produced no such congruity effect, and in Study 2 the effect for prosodic verbs was statistically indistinguishable from that of strongly valenced verbs. Word-embedding analyses confirmed the prosodic verbs sit near positive or negative words in a large news corpus.
Methodology
The researchers picked 'semantically prosodic' verbs such as cause, commit and peddle (usually followed by negative words) and restore, gain and provide (usually followed by positive words), which people nonetheless rate as neutral, plus control verbs with the same rated valence but no biased company. In an evaluative priming task, each verb flashed for 200 ms before a positive or negative target that participants had to classify as quickly as possible. Study 1 (78 students) used target words; Study 2 (89 students) used target pictures and added strongly positive or negative verbs as a check that the task works.
Limitations
The study measured naturally occurring language patterns rather than manipulating them, so it cannot show that exposure to biased company causes implicit associations; implicit attitudes could equally shape how people use words, as the authors acknowledge. Explicit valence came from norms collected on other people, not from these participants, and only eight prosodic verbs were tested with non-social words, so the jump to social implicit biases such as race or gender is an extrapolation. Samples were US undergraduates in single labs.
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