Go to home: Yunhee Shim

Research

Incorporating Procedural Fairness in Flag Submissions on Social Media Platforms (Tentative title)

Waiting for publishing, Ongoing, Link to OSF

The flagging mechanisms on current social media platforms vary in design, including the steps imposed on users. To illustrate, a simple one-click-based reporting system may be employed if the goal is to amass a substantial volume of toxic content for review. On the other hand, another flagging design might incorporate multiple steps to enhance the accuracy and validity of reporting. Our study adopted all flag design elements expected to relate to the users’ perception of fairness as independent variables — rule violation classification, guidelines, free text writing box, and information about the moderator. Through this exploration, we aim to elicit meaningful design recommendations for improving procedural fairness in flagging mechanisms.

Digital content distributor services provide pre-configured content packages but often contain material that conflicts with the library's curation policy. Through interviews with 15 public librarians in the US, the study identifies challenges faced by subscribing libraries, such as poor content quality, limited control over curation, and a lack of understnding of distribution service operations. Drawing from HCI and social media moderation literature, the study contextualizes these challenges and offers recommendations for improving digital distribution services in library settings. It emphasizes the importance of co-constructing a robust content curation policy and suggests leveraging librarian cooperation and content moderation mechanisms to enforce it.

A Study on the Development of Research Data Management Service in a Domestic University Library: Focused on the Analysis on the Needs of Researchers Affiliated in Seoul National University

Published at KSIM, 2019.09.30

This study aimed to develop Research Data Management (RDM) Services within a university library in Korea. The research examined the elements and levels of RDM services through in-depth interviews with university researchers affiliated with Seoul National University, which holds the largest research fund among Korean universities. The interviews sought to analyze researchers' data management practices and their needs for RDM services.