Neighborhoods are vaguely defined, localized regions that share similar characteristics. They are most often defined, delineated, and named by the citizens that inhabit them rather than municipal government or commercial agencies. The names of these neighborhoods play an important role as a basis for community and sociodemographic identity, geographic communication, and historical context.
Social media has provided a huge amount of user-generated data in capturing urban dynamics. Among them, place-level human behavior has been largely detected through people’s check-in records at certain places. Conventionally, places are characterized by a set of pre-defined features, often specified by the owner of the places. In this paper, we argue that capturing socially-meaningful features and dynamics of an urban place may also be done by analyzing human activity traces.
Information accessibility problems include diverse types of human- and system-driven barriers that make it difficult for individuals to access desired information. These issues have been studied in two main streams: (1) a human-centered view based on the understanding of individual-level characteristics such as physical impairment and economic status, and (2) a technology-focused view that emphasizes system-based factors such as the information filtering techniques and interface designs.
In this paper, we investigate the role of sociocultural contexts and technological characteristics in user behaviors on social networking sites (SNSs). This study focuses on Korean mothers’ social roles and their use of KakaoStory—one of the most popular SNSs in Korea. Through interviews with fifteen Korean mother users, this research studies changing social roles of Korean mothers with childbirth, and its influence on KakaoStory use. Also, we investigate how KakaoStory’s unique characteristics affect mothers’ usage.