Sue Yeon Syn

Purpose: This research examines how caregivers' information-seeking behaviors have been studied by analyzing research designs, theoretical frameworks, methodological approaches, target populations, caregivers' information needs, information access and patterns of information use. Design/methodology/approach: A systematic review was conducted following the PRISMA guidelines. A total of 69 articles published between January 2014 and December 2024 were retrieved from the Web of Science (WoS) and Library, Information Science and Technology Abstracts (LISTA) databases database for analysis. Findings: This study reveals a growing scholarly interest in caregivers' information-seeking behaviors, with an increase in publications since 2020. In terms of research design, there was a heavy reliance on exploratory methods, demonstrating the need for more theory-based explanations of caregivers' information behaviors. The findings also presented both a narrow scope and internal diversity within caregiver populations, as well as information needs reflecting a holistic and emotionally charged experience. Caregivers' ability to access and use health information was shaped by a combination of physical, intellectual and social factors. Research limitations/implications: This review contributes to a more comprehensive theoretical understanding of information behavior in high-stakes caregiving contexts and offers a foundation for future research aiming to inform the development of inclusive, culturally sensitive, and user-centered information services and interventions. The study is limited to articles indexed in two databases, focusing on peer-reviewed research only. Originality/value: The focus on caregivers' health information behaviors in this systematic literature review study provides a novel insight for health information behavior researchers emphasizing the trends and needs for investigating caregivers.

This study investigates public library innovations during COVID-19. Many public libraries quickly adapted to the pandemic environment, changing and improving their operations and services to meet the new challenges and user demands. We collected 2 datasets to understand public libraries’ innovations: 751 tweets from the 12 largest public libraries in the U.S. and 72 articles from 3 major professional magazines. These datasets were analyzed to identify innovative services provided between 2020 and 2021. The Twitter data illustrated quick adoption of innovative library services, publicized to user communities, and the magazine articles provided detailed accounts of innovations both user services and internal operations within libraries. The findings of content analysis from both datasets highlight that public libraries quickly changed their service delivery modes and implemented diverse innovative services. These efforts included informing users about the disease, combating racism, bridging the digital divide, supporting health and technology literacy, and assisting with unemployment and career development. Libraries served as community centers during difficult times, focusing on outreach efforts during lockdowns and providing crucial support to vulnerable populations.

In today's rapidly evolving digital landscape, nurturing information literacy (IL) skills is paramount for lifelong learning and informed citizenship. School library programs serve as crucial catalysts in this endeavor, imparting essential IL competencies to K-12 students and fostering a community adept at accessing, evaluating, and utilizing information resources responsibly. However, the abundance of information sources complicates the task of discerning credible and relevant sources from unreliable ones. Additionally, the widespread presence of false, misleading, or outdated information presents significant challenges to educators striving to impart students with essential IL skills. This proposal seeks to address these challenges by investigating the potential of using generative Artificial Intelligence (GenAI), specifically the ChatGPT, in the creation and dissemination of IL information for K-12 educators. Specifically, the study will evaluate resources generated by ChatGPT on digital citizenship using the template aided by Common Sense Media’s Digital Citizenship, a widely recognized and utilized resource for information literacy in K-12 education. By assessing the suitability and effectiveness of AI-generated resources, the study aims to provide insights into the potential of AI in supporting IL instruction. The results of the study can guide future development in K-12 information literacy curricula by providing and utilizing valid and reliable AI-generated resources for IL education. This study directly engages with the conference theme of the evolution of information by examining the potential of employing AI-generated information for K-12 information literacy education. It introduces a novel approach to both the production and consumption of information.

Purpose: This study aimed to examine the impact of perceived risks of COVID-19 and users’ intention to continually use social media for COVID-19 information, thereby revealing social media users’ perceptions and behaviors regarding the pandemic.Design/methodology/approach: The Health Belief Model was used to develop the research model. Data were collected from social media users in Korea using an online survey.Findings: The findings showed that social media users’ intention to continually use social media for COVID-19 information explained 46.5% of the variance in their perceived severity, perceived susceptibility, perceived benefits, and perceived barriers. The degree of impact and relationships varied across the constructs. Two age groups were examined, and it transpired that perceived risks and perceived use were more highly recognized by young users than old users.Research limitations/implications: This study focused on Korean social media users, providing valuable insights but limiting its generalizability. The proposed research model and methodology can include participants from various countries or cultures to enhance global relevance and diversified perspectives on how perceived risks impact social media use for health information.Practical implications: This study’s findings can be used to provide tailored health information services to those with different levels of perceived risks, social media use, and different age groups.Originality/value: This study adopted the Health Belief Model to understand users’ perceptions of COVID-19 information on social media and examined users’ intentions to continue using social media as a channel for COVID-19 information.

With an increasing interest in RDM services in libraries and information organizations, research on RDM has evolved dramatically in recent years. This study aims to investigate how RDM research evolves globally and to provide an understanding of how RDM research differs by countries. Through bibliometrics approaches, this study analyzes a large set of RDM research publications to provide a comprehensive landscape of the RDM research field. The findings from the examination of 403 articles extracted from the Web of Science database successfully demonstrate the global trends of RDM research, showing how RDM research has spread from North American and European countries to Asian and African countries. The analysis of RDM research topics from the three top publishing countries—Germany, USA and the UK—reveals that different countries focus on different topics and that research topics change along with other factors, such as the adoption of a standard. The bibliometrics analysis on the topic trends show that there were five major research topics which are identified as the fundamentals and practices of library services, and the research data sharing topics. There was a clear distinction of the interests in RDM research until 2018 and after 2019. The findings show that the distinction was impacted by the new appearance of the FAIR Guiding Principles in 2016. The findings of the study successfully identify major trends in RDM research topics and different trends by countries based on their interests and circumstances. From these findings, researchers and library professionals in RDM services can gain a good understanding of current interests in RDM services and identify needs from these research trends to improve their services.

Background: Gaze movement analysis is a human–computer interaction analysis method to assess time and viewing patterns of screen pages. Aims/Objectives: This study examines Facebook users' health information viewing patterns and identifies social media interface factors that affect users' health information behaviour on Facebook. The findings of this study should help researchers and health information providers understand how Facebook is used, and how users might be appraising information viewed. Methods: This study investigated gaze movement data collected from 48 participants while participants were viewing Facebook pages that presented health‐related posts. Each session was designed to represent four health information sources and four health topics. Each session included an exit interview for a better interpretation of data. Results: Participants spent the most time viewing the content of the posts, particularly post images. Findings revealed that users' viewing patterns differed when different health topics were presented, but not according to the type of information provider. However, the study showed that users check the Facebook page's banner to verify the health information provider's identity. Conclusion: This study indicates what health information consumers look for on Facebook when finding, appraising, and reacting to, or sharing health‐related content.

Purpose: This study aimed to provide user-centered evidence for health professionals to make optimal use of images for the effective dissemination of health information on Facebook (FB).Design/methodology/approach: Using an eye-tracking experiment and a survey method, this study examined 42 participants' reading patterns as well as recall and recognition outcomes with 36 FB health information posts having various FB post features.Findings: The findings demonstrated that FB posts with text-embedded images received more attention and resulted in the highest recall and recognition. Meanwhile, compared to text-embedded images, visual only images yielded less effective recall of information, but they caught the viewers' attention; graphics tended to attract more attention than photos. For effective communication, the text features in FB posts should align with the formats of the images.Practical implications: The findings of this study provide practical implications for health information disseminators by suggesting that text-embedded images should be used for effective health communication.Originality/value: This study provided evidence of users' different viewing patterns for FB health information posts and the relationship between FB post types and recall and recognition outcomes.

Objective: This study investigates research data management (RDM) services using a crosstab framework with the National Institutes of Health (NIH) Library as a case study to provide practical considerations for libraries seeking to improve their RDM services.Methods: We conducted semistructured interviews with four librarians who provide data services at the NIH Library regarding library user characteristics, RDM services provided, RDM infrastructure, and collaboration experiences. Through the analysis of interview transcripts, we identified and analyzed the NIH Library’s RDM services according to Online Computer Library Center (OCLC)'s three categories of RDM services and the six stages of the data lifecycle.Results: The findings show that the two models’ crosstab framework can provide an overview of an institution’s current RDM services and identify service gaps. The NIH Library tends to take more responsibility in providing education and expertise services while relying more on information technology departments for curation services. The library provides significant support for data creation, analysis, and sharing stages to meet biomedical researchers’ needs, suggesting areas for potential expansion of RDM services in the less supported stages of data description, storage, and preservation. Based on these findings, we recommend three key considerations for libraries: identify gaps in current services, identify services that can be supported via partnerships, and get regular feedback from users.Conclusion: These findings provide a deeper understanding of RDM support on the basis of RDM service categories and the data lifecycle and promote discussion of issues to be considered for future improvements in RDM services.

Purpose: This study investigates the Centers for Disease Control and Prevention (CDC) Facebook Page to examine what kinds of information is shared to public using Facebook and how Facebook users share and engage with information during a health crisis situation with a case of the COVID-19 pandemic.Design/methodology/approach: Using Facebook Graph API, CDC's Facebook Page posts and users' engagement and reactions for six months from January to June 2020 were collected and analyzed. The posts were categorized into five categories. Users' engagement and reactions include share, comment, like, love, haha, wow, sad and angry.Findings: The findings show that the type of posts have significant association with COVID-19 situation and the level of users' engagement and reactions differs significantly when COVID-19 related information is shared. The findings show that users become more active during health emergency situation. The results provided an insight into how different types of posts gain users' attention and motivation to interact.Originality/value: This study investigates the use of social media during a national health crisis situation. While literature provides the use of social media during emergency and crisis cases, as health crisis situation is unique in that the boundary of time and location as well as people's daily life, the findings of this study provide an insight into how health authorities could communicate with the public during a health crisis situation.Peer review: The peer review history for this article is available at:https://publons.com/publon/10.1108/OIR-09-2020-0416