Open datasets · Harvard Dataverse
Replication Data to "Uncovering gender stereotypes in controversial science discourse: Evidence from computational text and visual analyses across digital platforms"
Published 2024-02-12 · Harvard Dataverse
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by Kaiping Chen, Zening Duan, Sang Jung Kim
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 0 studies in total.
About this dataset
The purpose is to share the dataset & scripts to replicate the figures and tables in our forthcoming publication. You can use the Read Me Replication Instruction Document to get started.
Collection: Harvard Dataverse
Use it in a run
Download the files into your project's data/ folder and start a template. The data stay on your machine; the published research records the DOI, so the authors are credited.
e2er run "<your research question>"Automatic download by DOI is planned.
Cite
@dataset{chen2024,
title = {Replication Data to "Uncovering gender stereotypes in controversial science discourse: Evidence from computational text and visual analyses across digital platforms"},
author = {Chen, Kaiping and Duan, Zening and Kim, Sang Jung},
year = {2024},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/FISS8S},
url = {https://doi.org/10.7910/DVN/FISS8S}
} Research that uses it
No published research on E2ER uses this dataset yet.
Description
Data model- Discipline
- Social sciencesInformation systems
- Method family
- Replication
- Design
- not specified
- Research stage
- Data acquisition
- Contributors
- Kaiping Chen (Data curation); Zening Duan (Data curation); Sang Jung Kim (Data curation)
- Usage
- not used in published research yet
- Source
- Harvard Dataverse · Harvard Dataverse
- Record
- dataset:dataverse/10-7910-dvn-fiss8s · JSON
Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.