Data · dataset · 2023
Tweet Annotation Sensitivity Experiment 1
Listed in BERD@NFDI Data Portal
We drew a stratified sample of 20 tweets, that were pre-annotated in a study by Davidson et al. (2017) for Hate Speech / Offensive Language / Neither.
Description
The stratification was done with respect to majority-voted class and level of disagreement. We then recruited 1000 Prolific workers to annotate each of the 20 tweets.
Annotators were randomly selected into one of six experimental conditions, as shown in the following figures. In these conditions, they were asked to assign the labels Hate Speech / Offensive Language / Neither. In addition, we collected a variety of demographic variables (e.g. age and gender) and some para data (e.g. duration of the whole task, duration per screen).
Links
Where it is published
- BERD@NFDI Data Portal record berd-platform.de/records/ezhmw-g8x51 ↗
landing page · from berd platform de
Catalogue records · 1
- InvenioRDM API berd-platform.de/api/records/ezhmw-g8x51 ↗
metadata API · from berd platform de
Topics
- From keywords
- Economics & Finance
- Inferred from text
- Audio 65%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| BERD@NFDI Data Portal | ezhmw-g8x51 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · berd platform de | connector:berd_platform_de@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · berd platform de | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · berd platform de | connector:berd_platform_de@1.0.0 | /metadata/description |
| publication_date | source · berd platform de | connector:berd_platform_de@1.0.0 | |
| title | source · berd platform de | connector:berd_platform_de@1.0.0 | /metadata/title |
| updated_date | source · berd platform de | connector:berd_platform_de@1.0.0 |