Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Yuni Quintero"'
Autor:
David Cabeza, Yuni Quintero, Irvin Dongo, Ana Aguilera, German Robayo, Fabiola Martinez, Yudith Cardinale
Publikováno v:
International Journal of Web Information Systems
International Journal of Web Information Systems, Emerald Publishing Limited, 2021, 17 (6), pp.580-606. ⟨10.1108/IJWIS-03-2021-0037⟩
International Journal of Web Information Systems, Emerald Publishing Limited, 2021, 17 (6), pp.580-606. ⟨10.1108/IJWIS-03-2021-0037⟩
Purpose This paper aims to perform an exhaustive revision of relevant and recent related studies, which reveals that both extraction methods are currently used to analyze credibility on Twitter. Thus, there is clear evidence of the need of having dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7b96a56d1461f505315ca3b2d56d6c
https://doi.org/10.1108/ijwis-03-2021-0037
https://doi.org/10.1108/ijwis-03-2021-0037
Publikováno v:
iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services
iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Nov 2020, Chiang Mai, Thailand. pp.263-273, ⟨10.1145/3428757.3429104⟩
iiWAS
iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Nov 2020, Chiang Mai, Thailand. pp.263-273, ⟨10.1145/3428757.3429104⟩
iiWAS
Twitter is one of the most popular information source available on the Web. Thus, there exist many studies focused on analyzing the credibility of the shared information. Most proposals use either Twitter API or web scraping to extract the data to pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61bda31b6f948b8aef71654881eae7a6
https://hal.archives-ouvertes.fr/hal-03217665
https://hal.archives-ouvertes.fr/hal-03217665
