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- Authors:
- Blanc, Olivier; Pritzkau, Albert; Schade, Ulrich; Geierhos, Michaela
- Document type:
- Konferenzbeitrag / Conference Paper
- Title:
- CODE at CheckThat! 2022: Multi-class fake news detection of news articles with BERT
- Collection editors:
- Faggioli, Guglielmo; Ferro, Nicola; Hanbury, Allan; Potthast, Martin
- Title of conference publication:
- Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum
- Subtitle of conference publication:
- Bologna, Italy, September 5th to 8th, 2022
- Series title:
- CEUR Workshop Proceedings
- Series volume:
- 3180
- Conference title:
- Conference and Labs of the Evaluation Forum (13., 2022, Bologna)
- Venue:
- Bologna, Italy
- Year of conference:
- 2022
- Date of conference beginning:
- 05.09.2022
- Date of conference ending:
- 08.09.2022
- URL conference paper:
- http://ceur-ws.org/Vol-3180/
- Year:
- 2022
- Pages from - to:
- 444-455
- Language:
- Englisch
- Keywords:
- Sequence Classification ; Deep Learning ; Transformers ; BERT
- Abstract:
- The following system description presents our approach for detecting fake news in texts. The given task was formulated as a multi-class classification problem. Our approach is based on the combination of two BERT-based classification models: One model determines whether the textual content is relevant to the task; the second model assigns it a truth value. Starting from a pre-trained model for language representation, we fine-tuned these models on the given classification task in supervised tra... »
- ISBN:
- 1613-0073
- URL:
- http://ceur-ws.org/Vol-3180/paper-34.pdf
- Department:
- Fakultät für Informatik
- Institute:
- INF 7 - Institut für Datensicherheit
- Chair:
- Geierhos, Michaela
- Research Hub UniBw M:
- CODE
- Open Access yes or no?:
- Ja / Yes
- Type of OA license:
- CC BY 4.0
- Licence URL:
- https://creativecommons.org/licenses/by/4.0/
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