Interaction Dynamics of Runic Symbols on Instagram: A Comparative Analysis of Rune Miracle and Rune Realm Pages

Abstract

This study aims to comparatively analyze the interaction rates of the content shared on two different Instagram pages, Rune Miracle and Rune Land, to reveal which themes users' interest is directed towards and the changes in these interactions over time. In this study, the interaction rates of the posts shared on the Rune Miracle and Rune Land Instagram pages were analyzed using the content analysis method. Within the scope of the study, the number of likes, comments and shares were compared on the basis of the categories (General Topics, Money-Abundance-Prosperity, Love-Marriage-Relationships, Home-Car Buying-Selling, Work-Relationships, Success). The data was analyzed on a monthly and annual basis to determine which content users showed more interest in certain time periods. The findings showed that users showed intense interest in certain themes (love, money, general satisfaction, health, etc.) and that posts shared under these themes received more likes, comments and interactions. The study revealed that users were particularly interested in themes such as “Love-Marriage-Relationships” and “Money-Abundance-Prosperity”, and that content shared under these themes received more engagement. In general, posts under “General Topics” received the highest engagement, but engagement rates vary by page. The Rune Miracle page saw the highest engagement in December, while the Rune Realm page saw the highest engagement in December 2024. Moreover, for both pages, engagement rates were lower at the beginning of the year and higher towards the end of the year. The content that received the highest engagement was under the headings “Love-Marriage-Relationships” and “General Topics”, while the lowest engagement was generally experienced during the summer months and on some specific topics. These results have important implications for social media content management and marketing strategies. Platform owners and content producers can use this data to understand which types of content attract more attention and shape their posts accordingly. They can also manage their strategies more effectively by analyzing how engagement rates change over certain periods. Future studies could focus on analyzing these interactions in more detail and delving deeper into user behavior.