Data · dataset · 2021
Fake News Dataset
Listed in Teesside University Research Data Repository
This is some collections of fake news dataset that has been cleaned, augmented, and preprocessed.
Description
Each of the datasets has been split into train and test data with an 80:20 ratio. There are four folders in the file: 1.
ISOT Fake News Dataset H. Ahmed, I. Traore, S. Saad, Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques, in: Lect.
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Notes
Comput. Sci. (Including Subser.
Lect.
Notes
Artif. Intell. Lect.
Notes
Bioinformatics), 2017: pp. 127–138. doi.org/10.1007/978-3-319-69155-8_9. 2. Fake News Dataset UTK Machine Learning Club, Fake News, (2018). kaggle.com/c/fake-news/overview. 3. Fake or Real News Dataset G. McIntire, Fake or Real News, (2017). github.com/joolsa/fake_real_news_dataset. 4.
Fake News Detection Dataset Jruvika, Fake News Detection, (2017). kaggle.com/jruvika/fake-news-detection/version/1.
Links
Where it is published
- DOI doi.org/10.17632/945z9xkc8d.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Deep learning · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Social Science
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/945z9xkc8d.1 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |