Explainable Deep Learning for False Information Identification: An Argumentation Theory Approach
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DOI: 10.1287/isre.2020.0097
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References listed on IDEAS
- Dongmin Kim & Izak Benbasat, 2006. "The Effects of Trust-Assuring Arguments on Consumer Trust in Internet Stores: Application of Toulmin's Model of Argumentation," Information Systems Research, INFORMS, vol. 17(3), pages 286-300, September.
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Cited by:
- Ahmed Abbasi & Jeffrey Parsons & Gautam Pant & Olivia R. Liu Sheng & Suprateek Sarker, 2024. "Pathways for Design Research on Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(2), pages 441-459, June.
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Keywords
false information; fake news; explainable deep learning; machine learning; natural language processing; argumentation theory; structural balance theory;All these keywords.
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