The relationship between the belief in fake news and the strategies to seek information from young Portuguese people

Baptista, João Pedro; Gradim, Anabela; Correia, Elisete

doi:10.15847/obsobs16320222082

Cited by 3 publications

(2 citation statements)

References 54 publications

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“…The term "fake news" has numerous definitions, including false information, statements that have no relationship to reality, information that is intentionally created to deceive or influence the public, and news that is created to gain clicks or ideological advantages [1]. Propaganda and conspiracy theories are two other common online sources of misinformation.…”

Section: Introductionmentioning

confidence: 99%

N-gram and Kernel Performance Using Support Vector Machine Algorithm for Fake News Detection System

Jollyta,

Gusrianty,

Prihandoko

et al. 2023

Ilk. J. Ilm.

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The modern technological advancements have made it simpler for fake news to circulate online. The researchers have developed several strategies to overcome this obstacle, including text classification, distribution network analysis, and human-machine hybrid methods. The most common method is text categorization, and many researchers offer deep learning and machine learning models as remedies. An Indonesian language fake news detection system based on news headlines was developed in this work using the Support Vector Machine (SVM) kernel and n-gram. The objective of this research is to identify the model that produces the best performance outcomes. The system deployment on the web will employ the model that produces the greatest outcomes. According to the research findings, the linear kernel SVM algorithm produces the best results, with an accuracy value of 0.974. Furthermore, the bigram feature used in the development of a classification model does not increase the precision of fake news identification in Indonesian. Utilizing the unigram function yields the most accurate results.

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Section: Introductionmentioning

confidence: 99%

N-gram and Kernel Performance Using Support Vector Machine Algorithm for Fake News Detection System

Jollyta,

Gusrianty,

Prihandoko

et al. 2023

Ilk. J. Ilm.

View full text Add to dashboard Cite

show abstract

“…A constante conexão entre os jovens e o mundo digital, juntamente com o fácil acesso e a rápida disseminação de informações, leva ao consumo de notícias através das redes sociais (Shu et al, 2019), o que os torna um grupo muito exposto às notícias falsas (Baptista et al, 2022), caracterizadas por serem de baixa qualidade, erradas ou construídas propositadamente para enganar (Rahmanian, 2023).…”

Section: Introductionunclassified

Avaliação em ambiente real de utilização de uma plataforma de criação de jornais escolares

Alves,

Júlio,

Teixeira

et al. 2023

risti

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A transição digital abre uma oportunidade para enriquecer o envolvimento e a experiência dos estudantes na criação de conteúdo relevante para a sociedade. Neste contexto, a plataforma TRUE foi desenvolvida para preencher uma lacuna em ferramentas de apoio à criação de jornais escolares digitais que potenciam as competências dos estudantes ao nível da escrita. A plataforma oferece funcionalidades que ajudam os utilizadores a navegar num ambiente integrado, facilitando a escrita de notícias e capacitando os alunos a pensar de forma critica. Este artigo centra-se na avaliação da experiência do utilizador da plataforma TRUE, em ambiente real de utilização. Uma vez que esta plataforma foi desenvolvida utilizando a abordagem metodológica de Design-Based Research, a avaliação aqui descrita permitiu melhorar o produto. Os resultados incluem os dados das rondas, fases e momentos de recolha de dados. A plataforma TRUE foi avaliada com foco na experiência do utilizador e na usabilidade, utilizando a System Usability Scale e o Self-Assessment Manikin.

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Consequences and Risks of Introducing Information Technology Into the Daily Social Reality of Youth

Rudenkin,

Lugin

2023

Bulletin of Science and Practice

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The paper is prepared in a genre of theoretical analysis and focuses on clarification of effects the influence of digitalization of society on the everyday reality surrounding young people. The authors consider the rapid introduction of information technologies into the life of society as a complex and contradictory process, leading not only to the emergence of various new opportunities, but also to a series of remarkable risks. Basing on the analysis of current Russian and foreign scientific literature, the authors seek to clarify the specific features of young people growing up in the context of the progressive digitalization of society, and to identify the most significant risks that appear in the lives of these people due to the high intensity of use of information technologies. Using the data of their theoretical analysis, the authors make a conclusion that growing up in conditions of intensive digitalization of society accustoms young people to active use of these technologies to solve a wide variety of everyday tasks. Analysis of the results of current sociological research leads the authors to the conclusion that such a high intensity of use of information technologies confronts young people with many serious risks, which can be grouped into three types: physiological, psychological, and social ones. The authors describe the specific manifestations of each type of such risks and identify factors of sensitivity of young people to each of them. Trying to refrain from inappropriate technophobia, the authors strive to note the importance of a critical look at the ambiguous consequences of the influence of such risks on the future of young people growing up in the conditions of digitalization of society and try to invite their colleagues for professional discussion and further research on relevant issues.

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The relationship between the belief in fake news and the strategies to seek information from young Portuguese people

Cited by 3 publications

References 54 publications

N-gram and Kernel Performance Using Support Vector Machine Algorithm for Fake News Detection System

N-gram and Kernel Performance Using Support Vector Machine Algorithm for Fake News Detection System

Avaliação em ambiente real de utilização de uma plataforma de criação de jornais escolares

Consequences and Risks of Introducing Information Technology Into the Daily Social Reality of Youth

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