Methods of Twitter Users' Interaction in Saudi Arabia Toward Entertainment and Serious Issues:

Document Type : Original Article

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Doctoral researcher in the Department of Media - King Saud University

Abstract

The study aimed to examine and analyze hundreds of thousands of tweets using Artificial Intelligence (AI) tools and Natural Language Processing (NLP) to explore the engagement of Twitter users in the Kingdom of Saudi Arabia on various topics. It involved the analysis of frequently used words, sentiment trends in those tweets, and the extent of their reliance on emojis and external links. This was interpreted through the lens of Social Presence Theory. Users of the (X) platform, formerly known as Twitter, were categorized into regular users, influencers, and celebrities based on their follower count. This study was conducted on the three most trending hashtags in Saudi Arabia during the year 1443 Hijri. The results showed that as the number of followers for an account on platform X increased, the language used became more neutral, and conversely, accounts with fewer followers relied more on sharing external links. Additionally, the results highlighted the cloud of most used emojis in the study's hashtags. The researcher emphasizes the importance of research and development in analyzing social media network data through artificial intelligence tools to understand audience trends, behaviors, and motivations and make predictions based on that understanding.
 
 
 

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