Supporting Online Toxicity Detection with Knowledge Graphs: Data
Description
This data repository contains the output files from the analysis of the paper "Supporting Online Toxicity Detection with Knowledge Graphs" presented at the International Conference on Web and Social Media 2022 (ICWSM-2022). The data contains annotations of gender and sexual orientation entities provided by the Gender and Sexual Orientation Ontology (https://bioportal.bioontology.org/ontologies/GSSO). We analyse demographic group samples from the Civil Comments Identities dataset (https://www.tensorflow.org/datasets/catalog/civil_comments).
Resources
| Name |
Format |
Description |
Link |
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0 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-6379344 |
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0 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-6379344 |
Tags
- crowdsourcing
- toxic-speech
- lgbt
- knowledge-graph
- human-annotation
- ontology
- nlp
- civil-comments
- gender-language
- sexual-orientation