# Improving Web Readability Using Video Content: A Relevance-Based Approach
## 1 Introduction  
The web is now a multimedia place in which users encounter different forms of content like text, images, and videos. As the time people spend on sites is gradually decreasing, videos are used by web developers as a more efficient means of delivering information [1]. Regarding teaching strategies, videos are very useful because they provide live demonstrations of the ideas. They are effective in the demonstration of procedures, in the presentation of experiments, and in the demonstration of theories that cannot readily be described in writing [2].  
Despite the benefits of videos in capturing user interest and enhancing understanding, misaligned or unrelated video content can detract from a webpage's readability and lead to user disengagement. Inappropriate or unsynchronized videos may cause users to be misled and therefore divert their attention away from the other parts of a webpage. This misalignment can lead to frustration and disengagement and may then affect the readability of the site [3, 4, 5, 6]. The importance of integrating multimedia elements that closely align with the textual content is especially critical in learning environments, in which the presentation of unambiguous and cohesive information is key.  
Prior research on web readability has focused on the textual content of a webpage, such as the size, color contrast, and overall presentation of the text on the website. The Flesch-Kincaid and SMOG indices are some of the most common ones used in determiningthe readability of text [7; 8; 9; 10; 11], while the Web Content Accessibility Guidelines (WCAG) are used in defining the accessibility standard [12]. Although these studies have offered the first attempt to describe how users interact with text and images, there is no emphasis on the role of videos in this process. The impact of video relevance on web readability and user engagement has not been studied before.  
In the context of multimedia learning, it has been identified that when using videos as a type of visual support, it is easier to understand the material, and cognitive processes are promoted [13]. However, there is a lack of research studies focused on measuring the extent of the match between the content of videos and textual information on websites. The failure to develop a standard method to assess the appropriateness of videos to the text on a webpage is still a challenge for web designers and educators.  
To fill this gap, the present study proposes the NLP-based framework for evaluating the impact of the video content on enhancing the web readability. In this paper, we employ NLP approaches to propose a framework for mapping video transcripts to the text content of webpages. The aim of the proposed approach is to obtain a numerical measure of video relevance which will help web developers to determine which videos should be incorporated into their work and how these videos can strengthen the main messages of the content. Through this research, we seek to answer the following key questions:  
* How effectively do existing videos on educational websites align with their corresponding textual content?
* What is the impact of video relevance on user engagement and comprehension?
* Can a standardized methodology for assessing video relevance provide insights that improve the overall user experience on educational websites?  
Our objectives are to fill a critical gap in web readability studies, contributing to the fields of web design, educational technology, and multimedia learning. Our findings offer practical insights for web designers, educators, and content creators in developing educational resources that support effective learning and knowledge retention.