Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/133068
Título: Fake news: characterization of different individual profiles in relation to different news topics
Autor: Barros, Maria Francisca de Sousa e Alvim Lima de
Orientador: Pinheiro, Flávio Luís Portas
Orghian, Diana
Palavras-chave: Fake news
Social Network
Opinion Dynamics
Social Interventions
Detection
SDG 16.6 - Peace, justice and strong institution, develop effective, accountable and transparent institutions at all levels
Data de Defesa: 17-Jan-2022
Resumo: The existence of fake news is an extremely topical concern which calls into question the veracity of the broadcasted information. Since nowadays the search and production of news is mainly done online, the costs with content production are low and the content’s reach and speed of propagation is very high. These factors facilitate the dissemination of fake news in social platforms that are not specialized means of communication, namely in online social networks. Therefore, this study aims to characterize different profiles of Portuguese individuals based on their susceptibility to several news topics. The attainment of the mentioned profiles is going to be a valuable contribution to information management and it is going to allow future definition of measures to mitigate the propagation of fake news in social platforms. To achieve this, critical literature review was done and accompanied by the creation of a survey to analyze how academic background and topic of the news pieces influence the accuracy of individuals identifying false news. This dissertation intents to understand if there is anyone immune to fake news, or if individuals can be more or less immune depending on the topic.
Descrição: Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
URI: http://hdl.handle.net/10362/133068
Designação: Mestrado em Gestão de Informação, especialização em Gestão dos Sistemas e Tecnologias de Informação
Aparece nas colecções:NIMS - Dissertações de Mestrado em Gestão da Informação (Information Management)

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