From Automation to User Empowerment: Investigating the Role of a Semi-automatic Tool in Social Media Accessibility

ACM Transactions on Accessible Computing(2023)

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摘要
This paper focuses on evaluating SONAAR (Social Networks Accessible Authoring), a tool that combines automation and end-user empowerment to enhance the accessibility of social media content. SONAAR aims to increase user engagement in creating accessible content and expanding the availability of accessible media online. Additionally, SONAAR provides supplementary information to support the authoring of accessible media content. To assess SONAAR's effectiveness, we conducted three distinct studies. First, we analyzed user patterns and behaviors through log analysis. Next, we evaluated the clarity, helpfulness, and efficiency of the additional documentation and its potential to improve engagement in accessible practices. Finally, we explored user perceptions and challenges when interacting with SONAAR. The obtained findings indicate positive user feedback and provide valuable insights for improvement. These results underscore the importance of raising awareness and offering support for accessible practices, as well as the necessity for enhanced platform backing. Our study contributes to advancing accessible content authoring, promoting inclusivity and accessibility in online social media. We suggest future research directions to facilitate broader adoption of accessible practices and address user engagement challenges, ultimately enhancing the accessibility of social media content.
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关键词
Accessibility,Social media,Visual content,User-generated content,Artificial Intelligence
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