28,880 rated or chosen profiles from 1,444 respondents, in up to 10 tasks of 2 profiles varying on 2 attributes.

One of 2 tables from the same source; this one is the choice_mturk table. The others are listed under Related tables.

About this table

Description	US Democrats and Republicans from an MTurk sample (n = 1,444) made 10 choices between two news items, each a headline (11 topics x 3 wordings) attributed to Fox News, MSNBC or USA Today.
Reference	Mummolo, J. (2016). News from the other side: How topic relevance limits the prevalence of partisan selective exposure. The Journal of Politics, 78(3), 763-773.
DOI	10.1086/685584
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/HQKQCQ

Notes

Conjoint table (irw_conjoint). choice = which of the two news items the respondent would choose to read (paraphrase; wording not in the deposit), forced choice, no opt-out, 10 tasks per respondent. Partisans only (cov_dem / cov_rep). Two attributes: headline text and outlet; the two items share a topic in about 9% of tasks and an outlet in about 34%, with no restriction documented. Qualtrics response ids re-keyed; the author's derived topic and friendly/unfriendly-source dummies dropped.

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

Size and shape

Respondents	1,444
Rows (one per respondent, task and profile)	28,880
Tasks per respondent (most)	10
Profiles per task	2
Attributes	2
Tasks with no profile chosen	0

Design

Topic	political communication
A profile represents	message
Country	US
Language shown	en
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Which of these two news stories would you choose to read? (paraphrase) [choice, forced]

Columns

attr_headlineattr_sourcechoicecov_agecov_bacov_blackcov_concov_demcov_gender_codecov_health_care_jobcov_incomecov_latinocov_libcov_lose_weightcov_other_racecov_repcov_seniorcov_smokercov_studentcov_uninsuredcov_whiteidprofiletasktrial_rowstrial_scheme

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 needed Browse on Redivisexplore and query Croissant 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("mummolo_2016_news_choice_mturk", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("mummolo_2016_news_choice_mturk", source="conj")

How to cite

@article{Mummolo_2016, title={News from the Other Side: How Topic Relevance Limits the Prevalence of Partisan Selective Exposure}, volume={78}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/685584}, DOI={10.1086/685584}, number={3}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Mummolo, Jonathan}, year={2016}, month=July, pages={763–773} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0