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Unraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis.

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Computational Social Science DataLab, University Institute of Research for Sustainable Social Development (INDESS), University of Cadiz, Jerez de la Frontera, Spain.

Background: During the COVID-19 pandemic, social media platforms have been a venue for the exchange of messages, including those related to fake news. There are also accounts programmed to disseminate and amplify specific messages, which can affect individual decision-making and present new challenges for public health.

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Ideological Consistency and News Sharing as Predictors of Masking Among College Students.

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School of Communication, Virginia Tech, Blacksburg, VA 24061, USA.

During the COVID-19 pandemic, the United States Centers for Disease Control and Prevention (CDC) recommended the use of well-fitting face masks or respirators as a strategy to reduce respiratory transmission; however, acceptance and utilization of face masks quickly became a contentious, politically charged matter. Given the effectiveness of masking against respiratory viruses, it is critical to understand the various normative factors and personal values associated with mask wearing. To this end, this study reports the findings of an online, cross-sectional survey ( = 1231) of college students during the COVID-19 pandemic.

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Social networks are increasingly taking over daily life, creating a volume of unsecured data and making it very difficult to capture safe data, especially in times of crisis. This study aims to use a Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM)-based hybrid model for health monitoring and health crisis forecasting. It consists of efficiently retrieving safe content from multiple social media sources.

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Introduction: The pandemic caused by COVID-19 has accentuated the debate on the need for vaccination and called into question the need to increasingly bring this topic, which is widely disseminated in the scientific world, to school classes at all schooling phases. In this scenario, science education plays a key role in disseminating knowledge about the importance of vaccination and the impacting factors of a lack of immunization. In order to better understand this movement, it is necessary to understand the representations of individuals as a way of broadening paths to change this scenario.

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Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.

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Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional, Ciudad de México, México.

Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, and attitudes beyond traditional educational settings. These platforms provide access to a broad range of learning materials, such as tutorials, blogs, forums, and interactive content, making education more accessible and tailored to individual interests and needs. However, challenges like information overload and the spread of misinformation highlight the importance of digital literacy in ensuring users can critically evaluate the credibility of information.

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