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Title: Measuring the reputa- tion in user-generated-content systems based on health information
Authors: Weitzel, Leila
Oliveira, José
Quaresma, Paulo
Editors: Abramson, David
Lee, Miachael
Krzhizhanovskaya, Valeria
Dongarra, Jack
Sloot, Peter
Issue Date: 2014
Publisher: Elsevier
Abstract: The Web 2.0 is the ultimate manifestation of User-Generated Content systems. Such systems contain information of different quality levels. This paper proposes how to measure reputation from social interactions existing in social networks built according to health information. We selected Twitter as a case study, since retweet function can be compared with spreading information mechanism. We provided a new methodology to rank trustworthy sources in a network based on retweet ties which can help authorities and experts about health information on the internet. Additionally, as a secondary contribution, we also perform a study about the scale free characteristics of the explored retweet network.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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