Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation
Conference or workshop item
Losada, David E., Pichel, Juan C., Elsweiler, David
and Fernández-Pichel, Marcos
(2021)
Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation.
In: CLEF 2021: Experimental IR Meets Multilinguality, Multimodality, and Interaction, September 21–24, 2021, Virtual Event.
Alternative links to fulltext
Involved Institutions
Details
| Item type | Conference or workshop item (Paper) | ||||
| Page Range | pp. 78-90 | ||||
| Date | 14 September 2021 | ||||
| Date of publication | 06 Oct 2021 06:01 | ||||
| Institutions | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz) | ||||
| Identification Number |
| ||||
| Keywords | Health-related content; Misinformation; Language; Neural approaches | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 020 Library & information sciences | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 49349 |
Export bibliographical data
Owner only: item control page
Altmetric
Altmetric