conroykrutz_2025_media_restrictions

19,396 rated or chosen profiles from 4,920 respondents, in up to 4 tasks of 1 profile varying on 3 attributes.

About this table

DescriptionRespondents in Cote d'Ivoire, Kenya, Nigeria and Uganda (n = 4,920 with at least one answer) each rated four hypothetical scenarios about a media outlet accused of an infraction, varying the funding source, the accuser and the infraction, on how harshly the station should be restricted (1 = nothing to 5 = shut down permanently).
ReferenceConroy-Krutz, J. (2025). Muzzling the media? Explaining popular support for media restrictions in Africa. The Journal of Politics, 87(3), 1169-1181.
DOI10.1086/732998
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/GO75QE

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents4,920
Rows (one per respondent, task and profile)19,396
Tasks per respondent (most)4
Profiles per task1
Attributes3

Design

Topicpolitical communication
A profile representsscenario
CountryCI, KE, NG, UG
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

ratingTask k Preference: what should be done to the station (Nothing / Issue a written warning to the station / Fine the station / Shut down the station for a temporary period / Shut down the station permanently) (paraphrase) [rating, 1 (Nothing) to 5 (Shut down the station permanently)]

Columns

attr_accuserattr_fundingattr_infractioncov_agecov_countrycov_educationcov_ethnicitycov_gendercov_lived_povertycov_trust_oppositioncov_trust_presidentidprofileratingtask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

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

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("conroykrutz_2025_media_restrictions", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("conroykrutz_2025_media_restrictions", source="conj")

How to cite

@article{Conroy_Krutz_2025, title={Muzzling the Media? Explaining Popular Support for Media Restrictions in Africa}, volume={87}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/732998}, DOI={10.1086/732998}, number={3}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Conroy-Krutz, Jeffrey}, year={2025}, month=July, pages={1169–1181} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0