Title |
Humor norms for 4,997 English words
|
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Published in |
Behavior Research Methods, July 2017
|
DOI | 10.3758/s13428-017-0930-6 |
Pubmed ID | |
Authors |
Tomas Engelthaler, Thomas T. Hills |
Abstract |
Humor ratings are provided for 4,997 English words collected from 821 participants using an online crowd-sourcing platform. Each participant rated 211 words on a scale from 1 (humorless) to 5 (humorous). To provide for comparisons across norms, words were chosen from a set common to a number of previously collected norms (e.g., arousal, valence, dominance, concreteness, age of acquisition, and reaction time). The complete dataset provides researchers with a list of humor ratings and includes information on gender, age, and educational differences. Results of analyses show that the ratings have reliability on a par with previous ratings and are not well predicted by existing norms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 27% |
United States | 3 | 14% |
Germany | 1 | 5% |
Canada | 1 | 5% |
Unknown | 11 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 77% |
Scientists | 4 | 18% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 18% |
Student > Ph. D. Student | 11 | 18% |
Researcher | 7 | 12% |
Student > Bachelor | 5 | 8% |
Professor | 5 | 8% |
Other | 8 | 13% |
Unknown | 13 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 18 | 30% |
Linguistics | 6 | 10% |
Arts and Humanities | 5 | 8% |
Computer Science | 4 | 7% |
Nursing and Health Professions | 3 | 5% |
Other | 7 | 12% |
Unknown | 17 | 28% |