2,044 rated or chosen profiles from 2,044 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.
| Description | 2,044 Argentine adults (Netquest panel, 20 Nov 2023, day after the presidential runoff) each saw one Facebook-style news post whose candidate (Milei or Massa), claim (can or cannot control inflation) and TRUE or FALSE label were randomized (2x2x2). Outcomes: 0/1 would-like, share, comment or ignore the post, and the emotion the post evoked (11 further 0/1 indicators). |
|---|---|
| Reference | Calvo, E., Aruguete, N., & Alvarado, J. D. (2026). Framing and news sharing behavior: the use of confirmation and refutation statements in the election of a right-wing populist leader. Humanities and Social Sciences Communications. |
| DOI | 10.1057/s41599-026-08888-0 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/dvn/ajol9e |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,044 |
|---|---|
| Rows (one per respondent, task and profile) | 2,044 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | political communication |
|---|---|
| A profile represents | message |
| Country | AR |
| Language shown | es |
| Language of stored levels | en |
| 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:
| rating_anger | How did the post make you feel? Emotion selected: anger (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
|---|---|
| rating_comment | Would you 'reply' to (comment on) the Facebook post? (selected = 1) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_disgust | How did the post make you feel? Emotion selected: disgust (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_fear | How did the post make you feel? Emotion selected: fear (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_ignore | Would you 'ignore' the Facebook post? (selected = 1; exclusive of the other three actions) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_indifferent | How did the post make you feel? Emotion selected: indifferent (no sentiment) (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_joy | How did the post make you feel? Emotion selected: joy (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_like | Would you 'like' the Facebook post? (selected = 1; may be combined with share and comment) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_optimism | How did the post make you feel? Emotion selected: optimism (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_sadness | How did the post make you feel? Emotion selected: sadness (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_share | Would you 'share' the Facebook post? (selected = 1) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
| rating_stress | How did the post make you feel? Emotion selected: stress (1 = selected; one emotion or indifferent) (paraphrase of SIF wording) [rating, 0 (not selected) to 1 (selected)] |
attr_candidateattr_claimattr_labelcov_age_groupcov_education_codecov_gendercov_ideologycov_log_read_timecov_vote_first_roundcov_vote_runoffidprofilerating_angerrating_commentrating_disgustrating_fearrating_ignorerating_indifferentrating_joyrating_likerating_optimismrating_sadnessrating_sharerating_stresstasktrial_prior_umbrella_experiment
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.
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("calvo_2026_milei_framing", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("calvo_2026_milei_framing", source="conj")
@article{Alvarado_2026, title={Framing and news sharing behavior: the use of confirmation and refutation statements in the election of a right-wing populist leader}, ISSN={2662-9992}, url={http://dx.doi.org/10.1057/s41599-026-08888-0}, DOI={10.1057/s41599-026-08888-0}, journal={Humanities and Social Sciences Communications}, publisher={Springer Science and Business Media LLC}, author={Alvarado, Juan Diego and Aruguete, Natalia and Calvo, Ernesto}, year={2026}, month=Sept }
| 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 |