Comparative analysis of the availability of popular social networking sites
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Issue Vol. 32 (2024)
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Examination of the performance and scalability of a web application in a reactive and imperative approach using the Spring Framework
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Comparative analysis of the availability of popular social networking sites
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Abstract
In the era of growing number of Internet users and the importance of social media, ensuring the accessibility of these platforms for all audiences has become a crucial aspect of digital inclusion. This article presents a study on the accessibility of Facebook, Instagram, X, and TikTok using Google Lighthouse and eye tracking. Two hypotheses were analyzed: H1, assuming a relationship between accessibility scores and the time to the first eye fixation on key elements of social networks, and H2, suggesting a relationship between accessibility and performance. Eye tracking research on a sample of 15 people showed that high accessibility does not always translate to ease of use, and no significant correlation between accessibility and platform performance was found.
