torok_2025_manipulation_fear

9,983 responses from 782 respondents to 13 items.

About this table

DescriptionFear of being manipulated by 13 named online actors and platforms, 1-5 scale, a nationally representative CATI sample of Hungarian adults, fielded 2019. 9,983 responses from 782 respondents on 13 items.
ReferenceTorok, B., Rab, A., Punkosty, A., Labody, P., Sorban, K., Menyhard, A., Szikora, T., Vadasz, P., & Zodi, Z. (2025). Trust, Awareness, and Risk Perception in the Online Environment [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15168213
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15168213

Size and shape

Responses9,983
Respondents782
Items13
Response categories5
Responses per respondent12.766
Responses per item767.923
Density0.982
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)hun

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument...mennyire tart attól, hogy ők, illetve ezek manipulálják Önt?
Mean words per item2
Mean characters per item19.385
Mean characters per response11.200
Flesch-Kincaid grade level22.029

Columns

cov_agecov_children_under14cov_countycov_educationcov_gendercov_household_sizecov_regioncov_settlement_typeiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("torok_2025_manipulation_fear")
# Python
pip install irw

import irw
df = irw.fetch("torok_2025_manipulation_fear")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_5 v4.0
Redivis dataset DOI10.57761/yvjw-0981
Manifest pin for this IRW versionv4.0
Metadata sourceirw_meta v23.0