ICCCM Journal of Social Sciences and Humanities

From Immersion to Insularity: How Personalized Recommendations Shape User Behavior and Information Cocooning on Douyin

Linfang Li — 2026-01-16

This paper examines the operational principles and socio-behavioral impacts of personalized recommendation systems on short video platforms, with a particular focus on their role in shaping immersive experiences and contributing to the formation of information cocoons. By leveraging algorithms such as collaborative filtering and deep learning, these systems continuously refine user profiles based on behavioral data, thereby reinforcing content preferences and narrowing information exposure. Drawing on immersion theory and filter bubble theory, this study analyzes how prolonged algorithm-driven engagement leads to unidirectional consumption patterns and diminished cognitive diversity. The article also highlights the risks associated with algorithmic feedback loops, such as attention fixation, preference solidification, and reduced motivation to seek alternative viewpoints. In response, it offers a series of recommendations aimed at users, platforms, and policymakers to promote information diversity, algorithmic transparency, and critical digital literacy. This qualitative analysis contributes to a deeper understanding of algorithmic influence in the contemporary media landscape and proposes pathways toward more balanced and inclusive content ecosystems.

Attitude of Farmers Towards Sustainability of Rice Farming in Sub Urban Area of Sleman Regency

Muhamad Imanuddin — 2026-01-12

This study aims to determine the level of knowledge of farmers about government regulations on the protection of agricultural land sustainable food and knowing the factors that influence the attitude of farmers towards the sustainability of rice farming. The location is determined by purposive method in six villages which belong to sub urban area of sleman regency. Thirty farmers are chosen as respondents using simple random sampling technique. This research is using the descriptive analysis as the basic method and logistic regression to analyze the factors that influence the attitude of farmers towards the sustainability of rice farming. Primary data obtained through interview by using questionnaire and observation personally. The result showed that knowledge of farmers about government regulations on the protection of agricultural land sustainable food is still very low. Logistic regression analysis shows age, farming experience, farming income, dummy availability of credit and dummy land status significantly influence the attitude of farmers toward the sustainability of rice farming in the alpha 10 percent. On the average, the opportunity of the sustainable farming for farmer in sub urban area of sleman regency is amounted to 53.33 percent.