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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).

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.

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.

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.

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.

The purpose of this paper is to use ideas drawn from two founders of American pragmatism, William James and Charles Sanders Peirce, in order to propose a philosophical foundation that supports the value of collaborative tagging and reinforces the structure and goals of the Semantic Web.

The study employs a close analysis of key literature by James and Peirce to answer recent calls for a philosophy of the Web and to respond to research in the LIS literature that has assessed the value and limitations of folksonomy. Moreover, pragmatic views are applied to illustrate the relationships among collaborative tagging, linked data, and the Semantic Web.

With a philosophical foundation in place, the study highlights the value of the minority tags that fall within the so-called “long tail” of the power law graph, and the importance of granting sufficient time for the full value of folksonomy to be revealed. The discussion goes further to explore how “collaborative tagging” could evolve into “collaborative knowledge” in the form of linked data. Specifically, Peirce’s triadic architectonic is shown to foster an understanding of the construction of linked data through the functional requirements for bibliographic records entity-relation model and resource description framework triples, and James’s image of the multiverse anticipates the goals Tim Berners-Lee has articulated for the Semantic Web.

This study is unique in using Jamesian and Peircean thinking to argue for the value of folksonomy and to suggest implications for the Semantic Web.

The purpose of this paper is to empirically test whether individuals’ internal factors (prior knowledge, resources, and capability) and environmental factors (stimuli, limitation) have any influence on the development of personal health information management (PHIM) literacy skills and which constructs are statistically associated with general health-related outcomes.

Survey responses were collected from Amazon’s Mechanical Turk (mTurk), a crowdsourcing internet service, in December 2013. A total of 578 responses were analyzed using partial-least squares structural equation modeling technique.

The model as a whole exhibited 62.8 percent of variance in health-related outcomes. The findings suggest that prior knowledge has a direct effect on health literacy (HL) skills (H3: β=0.212, p<0.001). The PHIM stimuli (H4: β=0.475, p<0.001) have a direct impact on HL skills, and they have an indirect effect on the comprehension of stimuli (H6: β=0.526, p<0.001) through the mediator of stimuli and the knowledge variable.

One possible limitation of this study is that the study may include a highly technology literate group, as survey respondents were recruited from the online service mTurk.

The study poses implications for further research and practice. This research was an exploratory work for further model development so future studies should investigate deeper into real personal health record (PHR) user groups (e.g. patients and caregivers). For example, studies by White and Horvitz (2009a, b) conducted real-time user studies that the authors could apply to the authors’ future PHR studies. Since the findings cannot be generalizable to these specific groups, similar research may be conducted. Using caregiver groups of PHR users in comparison to patient groups could determine the similarities and differences of their PHIM activities and related outcomes for optimal design of self-care management.

Further, it is suggested to conduct large scale, real-time-based studies using a PHR transaction log analysis to achieve conclusiveness and generalizability. Additionally, future studies should address not only diverse real-time user groups, but also various PHR data sources and their presentation issues.

This study model offers an important perspective on PHIM and its causal pathway for use not only by patient educators and healthcare providers but also information providers, personal health record (PHR) system developers, and PHR users.

This study aims to investigate how college students' personal information behaviors were impacted by contexts, resource types and perceptions of personal information management.

Using an online survey, a total of 1,194 valid responses were collected from college students. The three contexts used for this study include academic, health and personal digital history. Specific scenarios, along with sets of resource types, were provided for each context.

The findings show that college students' perceptions and contexts strongly influence their activities related to personal information, and that resource types impact their activities depending on the context in which the resource types are situated. The findings of this study provide evidence of how varying factors influence personal information behaviors at different levels. Information professionals need to design their services and programs in a way that is cognizant of the factors that influence users and the challenges that users meet with in different contexts and resource types.

The findings of this study contribute to personal information research by providing an understanding of how context, perceptions and resource types intertwiningly influence personal information behaviors. This study provides an insight into widely accepted patterns and perceptions of personal information behavior with particular information resource types and within specific contexts.

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.

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.

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.

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.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2020-0416

The purpose of this paper is to investigate the associations of personal archiving behaviors to factors and challenges that have been assumed to affect personal digital archiving strategies.

This study created an online survey to understand general patterns of personal digital archiving practices and related phenomena. The survey was employed to investigate to what extent people show a certain behavior or feel certain factors and challenge when archiving personal digital content.

Some of the findings of this study regarding specific personal digital archiving practices were in accordance with existing studies. However, the associations between digital archiving challenges and archiving practices were not observed statistically significantly as assumed in previous studies. General technology efficacy and the awareness of the importance of personal records appeared to influence personal archiving practices.

This study used Amazon’s Mechanical Turk. As this is not a commonly used internet service, the workers here could have higher than average levels of internet efficacy. This possibility may have affected the demographics, and the survey responses may be biased in this respect.

As the study results suggest that technology efficacy and personal heritage awareness are the influencing factors of personal digital archiving, these are the areas where information professionals can involve in assisting users for future cultural heritage.

This is the first study that develops measures for personal digital archiving related practices and perceptions that the previous qualitative studies have identified. With these measures, it examines the general status of individuals’ archiving strategies and the overall associations of digital archiving challenges as well as looking into other technological and personal factors.

This study aims to understand how college students' personal and health-related characteristics are related to their reading behaviors and cognitive outcomes of Facebook health information through eye tracking data and cognitive outcomes.

This study analyzed users' gaze movement data and results of recall and recognition tests to investigate users' reading patterns and their consequences with cognitive outcomes. The gaze movements are analyzed with eye tracking data including the average fixation count and time to first fixation.

The results of reading patterns show that Texts and Images are highly viewed and viewed immediately by participants when the posts were presented. There was no clear pattern with fixation counts to determine cognitive outcomes. However, the findings of study suggest that there is a clear pattern of reading Facebook posts with areas of interest (AOIs). Among five AOIs observed, participants viewed Images first and then Texts when a Facebook post is presented. On the other hand, they read Texts more carefully than Images. The findings of this study suggest that while images contribute to gaining users' attention, a clear and precise message needs to be delivered in text message to ensure readers' correct understanding and application of health information.

The user-centered evidence on reading behaviors and cognitive outcomes will make contributions to how health professionals and health organizations can make optimal use of Facebook for effective health information communication.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0177