Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract)
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Sister Conferences Best Papers. Pages 4760-4764.
https://doi.org/10.24963/ijcai.2021/646
Keywords
- Natural Language Processing: NLP Applications and Tools
- AI Ethics, Trust, Fairness: Societal Impact of AI
- AI Ethics, Trust, Fairness: Explainability
- Knowledge Representation and Reasoning: Semantic Web
Abstract
This paper summarises work where we combined semantic web technologies with deep learning systems to obtain state-of-the art explainable misinformation detection. We proposed a conceptual and computational model to describe a wide range of misinformation detection systems based around the concepts of credibility and reviews. We described how Credibility Reviews (CRs) can be used to build networks of distributed bots that collaborate for misinformation detection which we evaluated by building a prototype based on publicly available datasets and deep learning models.
@inproceedings{ijcai2021p646,
title = {Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract)},
author = {Denaux, Ronald and Mensio, Martino and Gomez-Perez, Jose Manuel and Alani, Harith},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {4760--4764},
year = {2021},
month = {8},
note = {Sister Conferences Best Papers},
doi = {10.24963/ijcai.2021/646},
url = {https://doi.org/10.24963/ijcai.2021/646},
}
TY - CPAPER TI - Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract) AU - Denaux, Ronald AU - Mensio, Martino AU - Gomez-Perez, Jose Manuel AU - Alani, Harith T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4760 EP - 4764 DO - 10.24963/ijcai.2021/646 UR - https://doi.org/10.24963/ijcai.2021/646 ER -Copied
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