Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/194020
Title: MISMIS: Misinformation and Miscommunication in social media: aggregating information and analysing language
Author: Rosso, Paolo
Casacuberta, Francisco
Gonzalo, Julio
Plaza, Laura
Carrillo, J.
Amigó, E.
Verdejo, M. Felisa
Taulé Delor, Mariona
Salamó Llorente, Maria
Martí Antonin, M. Antònia
Keywords: Desinformació
Mitjans de comunicació digitals
Discurs de l'odi
Tractament del llenguatge natural (Informàtica)
Disinformation
Digital media
Hate speech
Natural language processing (Computer science)
Issue Date: Sep-2020
Publisher: Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN)
Abstract: The general objectives of the project are to address and monitor misinformation (biased and fake news) and miscommunication (aggressive language and hate speech) in social media, as well as to establish a high quality methodological standard for the whole research community (i) by developing rich annotated datasets, a data repository and online evaluation services; (ii) by proposing suitable evaluation metrics; and (iii) by organizing evaluation campaigns to foster research on the above issues.
Note: Reproducció del document publicat a: https://doi.org/10.26342/2020-65-13
It is part of: Procesamiento del lenguaje natural , 2020, num. 65, p. 101-104
URI: http://hdl.handle.net/2445/194020
Related resource: https://doi.org/10.26342/2020-65-13
ISSN: 1135-5948
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

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