Understanding and Utilization of Social Media Algorithms by Gen-Z Content Creators and Users - A Study of Reciprocal Relationship and Implications -
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This paper investigates the reciprocal relationship between social media algorithms and users, and the potential impact on the social media environment. As social media increasingly becomes an essential part of everyday life of Gen-Z, there are concerns about how its algorithms may influence users. We examine the extent to which users understand and use the algorithm, and the tactics they employ to do so. Additionally, we categorize users into content creators and content users, exploring how these questions apply to each group. By surveying 508 content users and conducting in-depth interviews with content creators, we provide both quantitative and qualitative data. Our findings indicate that users understand and actively manipulate algorithms to suit their preferences. We argue that algorithm designers must consider users' interests to ensure ethical and effective designs. This research has important implications for the future of algorithmic design.
Abstract
This paper investigates the reciprocal relationship between social media algorithms and users, and the potential impact on the social media environment. As social media increasingly becomes an essential part of everyday life of Gen-Z, there are concerns about how its algorithms may influence users. We examine the extent to which users understand and use the algorithm, and the tactics they employ to do so. Additionally, we categorize users into content creators and content users, exploring how these questions apply to each group. By surveying 508 content users and conducting in-depth interviews with content creators, we provide both quantitative and qualitative data. Our findings indicate that users understand and actively manipulate algorithms to suit their preferences. We argue that algorithm designers must consider users' interests to ensure ethical and effective designs. This research has important implications for the future of algorithmic design.
참고문헌 (15)
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