نوع مقاله : علمی ـ پژوهشی
نویسندگان
1 عضو هیات علمی دانشگاه صدا و سیما
2 دانشجو
کلیدواژهها
عنوان مقاله English
نویسندگان English
Purpose: This study aimed to explain the process of filter bubble formation in users' encounters with political news on the Instagram platform, focusing on the dynamic interaction between the user, the algorithm, and the social network.
Method: The study was conducted using a qualitative method with a Grounded Theory approach. Data were collected through semi-structured interviews with 20 users and 6 experts, non-participant observation of profiles, and document analysis (comments). The data were analyzed using open, axial, and selective coding in MAXQDA software until theoretical saturation was achieved.
Findings: The findings led to the development of a "Tripartite Interaction Paradigmatic Model." This model demonstrates that the filter bubble forms through a reinforcing cycle resulting from the user's purposeful action (searching, following, and interacting), algorithmic reinforcement (suggestions, prioritization, and filtering), and the facilitating role of the social network (sharing and like-minded groups). The ultimate consequence of this process is the deepening of informational isolation, the reinforcement of confirmation bias, and the intensification of political polarization.
Conclusion: The r esults indicate that addressing the challenge of filter bubbles requires simultaneous intervention at three levels: "enhancing users' media literacy," "ensuring algorithmic transparency," and "considering the context of social networks."
کلیدواژهها English
