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The Role of Explainability in Collaborative Human-AI Disinf..:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,

Schmitt, Vera ; Villa-Arenas, Luis-Felipe ; Feldhus, Nils... - p. 2157-2174 , 2024

Link: https://dl.acm.org/doi/10.1145/3630106.3659031

RT 
T1 <cTitle>Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>The Role of Explainability in Collaborative Human-AI Disinformation Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3659031&Exemplar=1&LAN=DE
				
A1 Schmitt, Vera
A1 Villa-Arenas, Luis-Felipe
A1 Feldhus, Nils
A1 Meyer, Joachim
A1 Spang, Robert P.
A1 Möller, Sebastian
PB ACM
YR 2024
K1 Collaborative disinformation detection
K1 XAI
K1 expert and lay people evaluation
K1 transparent AI systems
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Empirical studies in HCI
K1 HCI design and evaluation methods
K1 Information systems
K1 Information systems applications
K1 Decision support systems
K1 Interactive systems and tools
K1 Collaborative and social computing
K1 Empirical studies in collaborative and social computing
K1 User studies
K1 Interaction design
K1 Empirical studies in interaction design
SP 2157
OP 2174
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3630106.3659031
DO https://dl.acm.org/doi/10.1145/3630106.3659031
SF ELIB - SuUB Bremen

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