37   Artículos

 
en línea
Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin    
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Kevin K. W. Ho and Shaoyu Ye    
The COVID-19 pandemic heightened concerns about health and safety, leading people to seek information to protect themselves from infection. Even before the pandemic, false health information was spreading on social media. We conducted a review of recent ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Andra Sandu, Ioana Ioana?, Camelia Delcea, Margareta-Stela Florescu and Liviu-Adrian Cotfas    
Fake news is an explosive subject, being undoubtedly among the most controversial and difficult challenges facing society in the present-day environment of technology and information, which greatly affects the individuals who are vulnerable and easily in... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Andra Sandu, Ioana Ioana?, Camelia Delcea, Laura-Madalina Geanta and Liviu-Adrian Cotfas    
The proliferation of misinformation presents a significant challenge in today?s information landscape, impacting various aspects of society. While misinformation is often confused with terms like disinformation and fake news, it is crucial to distinguish... ver más
Revista: Information    Formato: Electrónico

 
en línea
Noemí Morejón-Llamas and F. J. Cristòfol    
This paper examines the disinformation and fact-checking activity of ten Ibero-American countries during the outbreak of monkeypox in 2022. Using a mixed-methods approach based on content analysis, the debunkings published by these organizations on their... ver más
Revista: Information    Formato: Electrónico

 
en línea
Nane Kratzke    
Background: This study presents a graph-based, macro-scale, polarity-based, echo chamber detection approach for Twitter. Echo chambers are a concern as they can spread misinformation, and reinforce harmful stereotypes and biases in social networks. Metho... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Charalampos A. Dimoulas and Andreas Veglis    
We live in a digital era, with vast technological advancements, which, among others, have a major impact on the media domain. More specifically, progress in the last two decades led to the end-to-end digitalization of the media industry, resulting in a r... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Olga Papadopoulou , Themistoklis Makedas , Lazaros Apostolidis , Francesco Poldi , Symeon Papadopoulos and Ioannis Kompatsiaris    
The proliferation of online news, especially during the ?infodemic? that emerged along with the COVID-19 pandemic, has rapidly increased the risk of and, more importantly, the volume of online misinformation. Online Social Networks (OSNs), such as Facebo... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Olga Papadopoulou, Evangelia Kartsounidou and Symeon Papadopoulos    
The overwhelming amount of information and misinformation on social media platforms has created a new role that these platforms are inclined to take on, that of the Internet custodian. Mainstream platforms, such as Facebook, Twitter and YouTube, are unde... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Giancarlo Ruffo and Alfonso Semeraro    
Misinformation posting and spreading in social media is ignited by personal decisions on the truthfulness of news that may cause wide and deep cascades at a large scale in a fraction of minutes. When individuals are exposed to information, they usually t... ver más
Revista: Future Internet    Formato: Electrónico

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