ai_fear_dong_2026_incentive
48,000 responses from 1,000 respondents to 48 items.
About this table
| Description | Fears About Artificial Intelligence Across 20 Countries and
Six Domains of Application |
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| Reference | Dong, M. (2024, November 25). A Psychological Model of AI fears. https://doi.org/10.17605/OSF.IO/MB5NZ |
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| DOI | 10.1037/amp0001454 |
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| Licence | CC BY 4.0 |
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| Source data | https://osf.io/mb5nz/overview |
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Size and shape
| Responses | 48,000 |
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| Respondents | 1,000 |
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| Items | 48 |
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| Response categories | 2 |
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| Responses per respondent | 48 |
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| Responses per item | 1,000 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | General/non-specific |
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| construct type | Behavioral, Other |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | Incentive Condition |
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Columns
cov_agecov_age_groupcov_countrycov_educationcov_gendercov_incomecov_social_classiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ai_fear_dong_2026_incentive")
# Python
pip install irw
import irw
df = irw.fetch("ai_fear_dong_2026_incentive")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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