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http://bura.brunel.ac.uk/handle/2438/25909Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hoy, N | - |
| dc.contributor.author | Koulouri, T | - |
| dc.date.accessioned | 2023-02-02T17:19:23Z | - |
| dc.date.available | 2022-12-17 | - |
| dc.date.available | 2023-02-02T17:19:23Z | - |
| dc.date.issued | 2023-01-26 | - |
| dc.identifier | ORCID iD: Theodora Koulouri https://orcid.org/0000-0001-9588-9647 | - |
| dc.identifier.citation | Hoy, N. and Koulouri, T. (2023) 'Exploring the Generalisability of Fake News Detection Models', 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, pp. 5731 - 5740. doi: 10.1109/bigdata55660.2022.10020583. | en_US |
| dc.identifier.isbn | 978-1-6654-8045-1 (ebk) | - |
| dc.identifier.isbn | 978-1-6654-8046-8 (PoD) | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/25909 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.rights | Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.source | 2022 IEEE International Conference on Big Data (Big Data) | - |
| dc.source | 2022 IEEE International Conference on Big Data (Big Data) | - |
| dc.subject | fake news detection | en_US |
| dc.subject | natural language processing | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | generalisability | en_US |
| dc.title | Exploring the Generalisability of Fake News Detection Models | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.doi | https://doi.org/10.1109/bigdata55660.2022.10020583 | - |
| dc.relation.isPartOf | 2022 IEEE International Conference on Big Data (Big Data) | - |
| pubs.finish-date | 2022-12-20 | - |
| pubs.finish-date | 2022-12-20 | - |
| pubs.publication-status | Published | - |
| pubs.start-date | 2022-12-17 | - |
| pubs.start-date | 2022-12-17 | - |
| dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | 226.97 kB | Adobe PDF | View/Open |
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