Comparative analysis of the availability of popular social networking sites
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...
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2024-09-01
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| Series: | Journal of Computer Sciences Institute |
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| Online Access: | https://ph.pollub.pl/index.php/jcsi/article/view/6292 |
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| _version_ | 1832570028004737024 |
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| author | Maciej Ciukaj Maria Skublewska-Paszkowska |
| author_facet | Maciej Ciukaj Maria Skublewska-Paszkowska |
| author_sort | Maciej Ciukaj |
| collection | DOAJ |
| description |
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.
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| format | Article |
| id | doaj-art-c5cfcf297b844d618a1d6cf01ac2be51 |
| institution | Kabale University |
| issn | 2544-0764 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Journal of Computer Sciences Institute |
| spelling | doaj-art-c5cfcf297b844d618a1d6cf01ac2be512025-02-02T17:59:50ZengLublin University of TechnologyJournal of Computer Sciences Institute2544-07642024-09-013210.35784/jcsi.6292Comparative analysis of the availability of popular social networking sitesMaciej Ciukaj0Maria Skublewska-Paszkowska1https://orcid.org/0000-0002-0760-7126Lublin University of TechnologyLublin University of Technology 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. https://ph.pollub.pl/index.php/jcsi/article/view/6292social mediaaccessibilityusabilityeyetracker |
| spellingShingle | Maciej Ciukaj Maria Skublewska-Paszkowska Comparative analysis of the availability of popular social networking sites Journal of Computer Sciences Institute social media accessibility usability eyetracker |
| title | Comparative analysis of the availability of popular social networking sites |
| title_full | Comparative analysis of the availability of popular social networking sites |
| title_fullStr | Comparative analysis of the availability of popular social networking sites |
| title_full_unstemmed | Comparative analysis of the availability of popular social networking sites |
| title_short | Comparative analysis of the availability of popular social networking sites |
| title_sort | comparative analysis of the availability of popular social networking sites |
| topic | social media accessibility usability eyetracker |
| url | https://ph.pollub.pl/index.php/jcsi/article/view/6292 |
| work_keys_str_mv | AT maciejciukaj comparativeanalysisoftheavailabilityofpopularsocialnetworkingsites AT mariaskublewskapaszkowska comparativeanalysisoftheavailabilityofpopularsocialnetworkingsites |