3,110 rated or chosen profiles from 882 respondents, in up to 2 tasks of 2 profiles varying on 7 attributes.

About this table

Description	Political journalists (n = 882) chose which of two hypothetical candidates announcing a run for governor they would send a reporter to cover, in up to two pairs each; candidates varied in name (race and gender), occupation, party, past office, age, announcement statement and campaign manager.
Reference	Hassell, H. J. G., Holbein, J. B., & Miles, M. R. (2020). There is no liberal media bias in which news stories political journalists choose to cover. Science Advances, 6(14), eaay9344.
DOI	10.1126/sciadv.aay9344
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/U6EWUW

Notes

Conjoint table (irw_conjoint_2). Journalists chose which of two candidate announcements for governor to cover in person (no opt-out), two pairs each, seven attributes. The file has no respondent id, so id/task/profile are inferred from blocks of four rows; 897 respondents answered (the paper's N = 3,276 candidate rows), and 83 pairs with a blank occupation were dropped, leaving 882 respondents. Further outcomes (readerscover, editorscover) have undocumented wording and are not kept.

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	882
Rows (one per respondent, task and profile)	3,110
Tasks per respondent (most)	2
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

Design

Topic	political communication, candidate choice
A profile represents	scenario
Country	US
Language shown	en
Language of stored levels	en
Randomization restrictions	unknown
Task order	inferred from row order
Profile position	inferred from row order

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

Outcomes:

choice	Which of the two candidate announcements would you send a reporter to cover in person? (paraphrase; paper: 'which of the two candidate announcements they would send a reporter to cover in person') [choice, forced]

Columns

attr_ageattr_campaign_managerattr_nameattr_occupationattr_partyattr_past_experienceattr_statementchoicecov_agecov_party_id_codeidprofiletasktrial_previous_publication

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("hassell_2020_journalist_coverage", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("hassell_2020_journalist_coverage", source="conj")

How to cite

@article{Hassell_2020, title={There is no liberal media bias in which news stories political journalists choose to cover}, volume={6}, ISSN={2375-2548}, url={http://dx.doi.org/10.1126/sciadv.aay9344}, DOI={10.1126/sciadv.aay9344}, number={14}, journal={Science Advances}, publisher={American Association for the Advancement of Science (AAAS)}, author={Hassell, Hans J. G. and Holbein, John B. and Miles, Matthew R.}, year={2020}, month=Apr }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0