Very few studies have examined information sentiment and explored other factors that contribute to health information dissemination and sharing. In particular, there is a lack of studies that performed these combined analyses in the modern social network environment during the disease outbreaks, such as with zika, ebola, SARS, or COVID-19. This study aimed to fill the gap in the literature by investigating what drives social media users to widely disseminate health-related information during a pandemic. Diffusion of innovation theory and theory of planned behavior were the basis of the theoretical approach utilized to answer the research questions. The two theories identified antecedents of sharing online health information. Data was collected through an online survey distributed to students in a higher education institution in the United States of America. The study revealed the extent of the relationships between the four major factors derived from the previous literature—attitudes toward sharing, beliefs toward source, peer influence, and information sentiment—and the behavioral intention to share information. The results would support the information science literature by offering and testing a new model that identifies the factors that affect users' intentions to share health information in the social network environment. This study will further the understanding …

This study explored issues related to the adoption and implementation of electronic health record (EHR) systems including building the awareness, knowledge, and experience of physicians toward cyber hygiene. This study used a qualitative research method to assess (a) the barriers to EHR systems adoption and implementation in Kuwait and (b) the level of awareness, knowledge and experiences related to cyber hygiene practices in Kuwait. The findings of the study supported the conceptual framework used to guide the research of the factors impacting the adoption and implementation of EHR systems in Kuwait as well as explore the level of awareness, knowledge, and experience of physicians about both EHR systems and cyber hygiene. The results from the systematic literature review analysis identified seven major barriers. These are financial barriers, time, difficulty of using technology, lack of support, negative attitude, legal and ethical (policies), and cultural barriers. The findings from the semistructured interviews supported the literature findings and provided more in-depth insights into the structural and social issues affecting the adoption and implementation of EHR systems. Given that Kuwait is a member of the Gulf Cooperation Countries (GCC), the results from the literature analysis showed that the problems in Kuwait are similar to …

This study aims to apply user reviews and numerical ratings toward items to create an aspect-aware high-order representation for a recommendation system. We propose a novel aspect-aware knowledge graph recommendation model (AKGR) with the deep learning method to predict users' ratings on non-interacted items, from which more personalized recommendations can be made. First, we create a sequence-to-sequence encoder and decoder model by exploiting contextual and syntactic information in user reviews to extract aspects critical to items. Then we utilize the principal component analysis (PCA) and the K-means clustering to analyze the extracted aspects for category classification. Based on the aspects, we construct a graph structure to connect users and items which share the same aspect-based opinions for mining user preferences and item attributes. Finally, we combine the user and item latent features from the reviews and the user-item rating matrix to complete the rating prediction task by applying the factorization machine model. We conducted experiments on three aspect extraction datasets and five rating prediction datasets. To verify the effectiveness of the proposed aspect extraction model and rating prediction model, comparison experiments were made with some state-of-the-art baseline models, such as double embeddings convolutional neural network (DE-CNN) and dual graph convolutional …

The purpose of this study was to assess visual analytics technology acceptance and user experience among in vitro fertilization (IVF) consumers. The research aimed to show how visual analytics tools and technologies can be applied in the consumer space to enhance how users interpret healthcare success rate data. This exploratory user evaluation study utilized a quantitative dominant, mixed-methods approach with a convergent parallel design based on the data-validation variant. Survey data were collected from consumers who were currently seeking information about IVF treatment in the United States. The study findings indicated that the extended unified theory of acceptance and use of technology (UTAUT2) constructs of performance expectancy and hedonic motivation influenced consumer behavioral intention to use visual analytics technology, while effort expectancy did not. Further, the findings from the user experience and qualitative analyses indicated that there is strong support for consumer adoption of visual analytics technology for personal healthcare decision-making. These findings may help in the design and development of modern, interactive visualization tools that could be used to visualize public or private healthcare data for analysis by consumers. Stakeholders, including the US Centers for Disease Control and Prevention, the World Health Organization, and medical practitioners, may use the …

In this study we explore the factors impacting physician patient interaction time and how these factors can be used to improve health knowledge transfer from physicians to patients. We also investigate how technology tools can be used to improve this interaction time. Physician patient interaction time is important because this is the time when both sides engage with each other, exchange information so that physicians understand their patients' health issues. Given the increasing health care costs and demand for physician time, over the years, this interaction time has been distracted due to many factors. It is important to explore these factors and provide some possible solutions, such as advanced knowledge management systems, such as knowledge portals. To identify the factors impacting this interaction time and the role of technology, we first identified the variables and then developed hypotheses. We used data from the surveys administered by the AHRQ and NCHS to test these hypotheses. We conducted correlation analyses to determine the factors that can be used to improve health knowledge transfer from physicians to patients and how technology tools can be used to improve physician patient interaction time. Our analyses indicate that the factors we identified to improve health knowledge …

This study applied social disruption as a concept that highlights factors responsible for the breakdown of social relationships in societies. Social disruption has many forms, however, the focus in this study was on strikes, which create constant social disruption in Nigerian public universities and could have serious impact on students' information behavior. Two universities – Federal University of Technology Owerri (FUTO) and Imo State University Owerri (IMSU) – were chosen for the study, and data was obtained through an online survey across sample of approximately 250 participants from the two selected public universities in Nigeria. The study applied the principle of least effort theory and the model of information search process to investigate the research questions of this dissertation which were: (1) what kinds of information do university students in Nigeria seek, and to what extent do strikes have implications on their information behavior?; (2) how do Nigerian students perceive the impact of strikes on their information source location and information resource usage?; (3) to what extent can information and communication technology (ICT) minimize the impact of strikes on students' information behavior?; and (4) how can universities in Nigeria prevent strikes from impacting students' information behavior? t-Tests were applied to …

The purpose of the current study was to confirm or dismiss Saudi students' behavioral intention with regard to using smartphone applications for learning purposes. A quantitative, non-experimental survey research design and descriptive research conducted on the determinants -performance expectancy, effort expectancy, and social influence- that predict Saudi students' intention at University of North Texas to use smartphone applications for learning purposes, based on the unified theory of acceptance and use of technology (UTAUT) as the framework. This study aims at filling gap found in understanding of students' intentions and their behaviors regarding the adoption and use of the Smartphone applications. Data was collected by means of an online questionnaire. The hypothesized model validated empirically using data collected from around 234 Saudi students who enrolled at University of North Texas. The model developed from UTAUT explained 50.1% of the variance of behavioral intention, and behavioral intentions explained 13.6% of the variance of usage behavior. The result of this study support that the determinants of performance expectancy, effort expectancy, and facilitating conditions were the highest predictors of behavioral intentions in using smartphone applications for learning purposes. The results of this study could encourage students, educators, and the Saudi Arabia Ministry of Education …

The word diaspora is currently understood as the large scale voluntary movement of people, along with capital and goods due to the mechanisms of globalization. Adopting a diaspora, gender and leisure perspective, this dissertation looked at the information and document experiences of a particular fan community of women belonging to the Indian diaspora and the online spaces created and occupied by them (fan fiction blogs which can be viewed as book clubs). The study also looked at memory making and documenting of the same as a part of document experience, resulting in what can be termed as "serendipitous memory archives." The blogs hosting fan fiction and the mediated practices they support were viewed as documents for the study. The online spaces were conceptualized as small worlds and the theoretical framework used for the study consisted of a preliminary model of a small world (based on literature review and my understanding of the world under study), information experience as a concept as well as document experience models. The results show that social ties play a big role in the information and document experience, while memory making and documenting of the same are also seen to happen as part of the document …

Although digital equity is a recognized challenge in our K-12 school system, there is little research in using a holistic framework to investigate pre-conditions necessary for K-12 students to participate in digital learning and online processes. A conceptual framework of students' digital opportunity (SDO) is developed to represent the essential components of digital connectivity. The four key components are broadband internet availability, broadband usage, digital device ownership, and speed quality. A composite measure of SDO was created to quantitatively represent and measure the differences across 3,138 counties in the United States. Furthermore, spatial autocorrelation was applied to evaluate if the distribution of the SDO score is associated with geographical characteristics at the county level. The result showed the presence of significant county-level clusters with concentrations of high or low SDO scores. While the spatial analysis provided evidence of where the gaps in digital opportunities are located, there are underlying factors at the micro level that would need further investigation. This study suggests a collective approach between private and public entities to address the K-12 digital equity issue. The necessary conditions presented in the SDO model must be addressed first in order to bring change to K-12 students and schools in …

This dissertation addresses research questions related to defining user's trust and risk perceptions associated with social networking usage behavior in relation to the repeated privacy and security breaches. The general research question is explored in the dissertation via the conduct of three related studies. The finding from these three investigations are presented in the results section as 3 essays that collectively examine the social networking sites usage behavior. Essay 1 proposes a conceptual model based on the review of multiple breaches. The review provides a conceptual model which is further analyzed using a quantitative survey in the second essay. Essay 2 measures the trust and risk perceptions associated with different sources of information when presented with multiple breaches. This portion of the research used a quantitative method that included surveying of college students from University of North Texas (UNT) to understand the relation between user's trust and risk perceptions. Essay 3 examines the social networking usage behavior on account of repeated privacy and security breaches. This essay uses the insights from the other two essays to identify the usage behavior and how it is affected. The proposed model was tested using a survey questionnaire method. Results show a significant relationship …

This dissertation is organized in a traditional format while including three essays that address specific research questions. Essay 1 examined the relationship between physical activity and community engagement and their effect on mental well-being among older men and women. Data from National Health and Aging Trends Study (NHATS) from 2018 to 2020 were explored and the posited relationships were tested. This essay provides empirical support that older adults who are reasonably active and involved in the community have greater mental well-being than those who isolate themselves. Essay 2 provides insight into older adults' motivation to improve their physical activity through the use of a fitness tracker. The key finding from this study is that wearables, especially fitness trackers, can significantly facilitate increased physical activity. Essay 3 is a mixed-methods study to understand older adults' perception of the usefulness of fitness trackers and interaction with such devices. Findings suggest that to increase the adoption of fitness trackers among older adults, makers could improve the esthetics and quality of the wristband in addition to the battery life of the tracker.

In the traditional agenda-setting theory, the agenda-setters were the news media and the public has a minimal role in the process of agenda-setting, which makes the public a passive receiver located at the bottom in the top-down agenda-setting dynamics. This study claims that with the development of Information communication technologies, primarily social media, the networked public may be able to set their own agendas through connective actions, outside the influence of the news media agenda. There is little empirical research focused on development and dynamics of public agenda-setting through social media platforms. Understanding the development and dynamics of public agenda-setting may be key to accounting for and overcoming conflicting findings in previous reverse agenda-setting research. This study examined the public agenda-setting dynamics through a case of gun violence prevention activism Twitter network, the #MarchForOurLives Twitter network. This study determined that the agenda setters of the #MarchForOurLives Twitter network are the key Never Again MSD student leaders and the March For Our Lives. The weekly reflected important events and issues and the identified topics were highly co-related with the themes examined in the tweets created by the agenda setters. The amplifiers comprised the vast majority of the tweets. The advocates and …

The purpose of this study is to investigate the use of decisions support systems (DSS) by critical care physicians and to address the following questions: Does the use of a decision support system during diagnosis reduce diagnostic error and how are decision support systems used by critical care physicians? There are no studies that address these research questions in a clinical setting. The information assessment method (IAM) was used to guide the development of the survey questions. Critical care physicians from the University of Oklahoma Health Sciences Center were surveyed. Chi squared test for independence was used to determine the relationship between DSS use and diagnostic error rates. There were three main findings of the study: (1) use of a DSS by a critical care physician can decrease diagnostic error by up to 60%; (2) 56% of critical care physicians are using a DSS during diagnosis to learn something new, confirm something they already knew, and/or to reassure themselves; and (3) the increased use of a DSS by critical care physicians can lead to a decrease in the belief of the ability of a DSS to reduce diagnostic error.

This study explored a part of our population that can be misunderstood, marginalized, and underserved: veterans who are seeking to transition from the military to employment in North Texas. At the time of this research (before the COVID-19 pandemic), overall unemployment in North Texas was only 3.9%.Veteran unemployment was calculated at approximately the same before considering the underemployed veterans or those who have given up finding employment (and before the COVID-19 global pandemic), and that calculation likely exceeds 16-18% according to the Texas Workforce Commission. By understanding the information-seeking behaviors of the veteran population targeting North Texas for future employment, their ability to find useful information for successful relocation, attainment of employment, and the resources that enables their sense-making processes, the services provided to veterans seeking employment can be improved. Further understanding can be gained by using a qualitative approach that references Dervin's sense making model (SMM) as the framework. The revelations and conclusions can be used to improve existing programs, inspire new programs, and provide answers that are useful to the Veteran's Administration (VA), other veteran-focused organizations, policymakers, non-profits who serve veterans, veterans themselves, and future employers who enable successful transitions by providing satisfying and inclusive employment opportunities for …

According to the U.S. Department of Health and Human Services (HHS), patients and providers do not understand the Health Information Privacy and Accountability Act (HIPAA). Non-compliance with HIPAA is primarily due to confusion, along with insufficient understanding. HSS has taken measures to simplify the language they use to communicate HIPAA, however, they have not taken steps that consider if one's culture, religious and social perspectives, institutional training, credentials, and comprehension of legal terminology affects medical providers and non-clinical administrative personnel's abilities to understand HIPAA. This research uses bibliometrics to examine the literature from January 2010 – September 2020 that addresses HIPAA's use of legal terminology, literacy level, and institutional training, along with religious and social perspectives, and credentials of medical providers and non-clinical administrative personnel. A total of 107 articles were examined, 42 were assigned article influence scores with values that were less than 1.00, which is a below-average influence score for the article. There were 29 articles with values equal to or above 1.00, which translates to an equal or above-average influence score. The remaining 36 articles did not have article influence scores and were assigned values as not available. Results of the review of the literature indicate that …

The purpose of this study was to collect design requirements from women engineers on artificial intelligence teammates such as Microsoft Teams, Slack, and Trello. A mixed methods research design was used for this study with an online survey and semi-structure interviews. The study results revealed design requirements from women engineers including solutions to sociotechnical issues that could arise from artificial intelligence teammates in the workplace. The results showed various ways women engineers collaborate in the workplace with and without artificial intelligence. Additionally, women engineers' attitude towards artificial intelligence was examined to identify if there was a correlation to self-efficacy. This research study fills a previous study gap that solicited design requirements from research scientists, by soliciting practitioners. Practitioners such as women engineers are underrepresented in the workplace, and they could benefit from an artificial intelligence teammate with their design requirements. Finally, this study contributes to the information science literature on collaborative information seeking, artificial intelligence design, and engineers' information seeking behaviors.

In this research the focus is on data-centric AI with a specific concentration on data quality evaluation and improvement for machine learning. We first present a practical framework for data quality evaluation and improvement, using a legal domain as a case study and build a corpus for legal argument mining. We first created an initial corpus with 4,937 instances that were manually labeled. We define five data quality evaluation dimensions: comprehensiveness, correctness, variety, class imbalance, and duplication, and conducted a quantitative evaluation on these dimensions for the legal dataset and two existing datasets in the medical domain for medical concept normalization. The first group of experiments showed that class imbalance and insufficient training data are the two major data quality issues that negatively impacted the quality of the system that was built on the legal corpus. The second group of experiments showed that the overlap between the test datasets and the training datasets, which we defined as "duplication," is the major data quality issue for the two medical corpora. We explore several widely used machine learning methods for data quality improvement. Compared to pseudo-labeling, co-training, and expectation-maximization (EM), generative adversarial network (GAN) is more effective for automated data augmentation, especially …

Life coaching is a rapidly expanding industry that focuses on client development, enhancement of life experience, and goal attainment often when clients are experiencing personal, professional, and social change. Online communities of practice (CoPs) provide opportunity for individuals to connect, share experiences, and learn from each other under the auspices of a unifying theme or subject. Since the 1990s, CoPs have spread from education to other areas of business and industry and continue to shape participant professional development. However, the everyday life information seeking and practices of life coaches remains unexplored within information science literature from the perspectives of life coach engagement in seeking information, life coach engagement in CoPs, and life coach interactions with other coaches. The purpose of this research study was to explore life coach perspectives of coaching, the diverse information needs of life coaches, the types and strength of relationships between life coaches and CoPs, the role of coaching certification and/or licensing as contributing to the professionalization of life coaching, and the means of communication exchange by life coaches through information communication technologies. This mixed method study focused on life coaches who self-identify as belonging to a CoP and those that do not. Theoretical frameworks for …

Research in scholarly communication is usually limited to the use and dissemination of scientific material by scholars. This excludes the transfer of knowledge from research producers to service providers. Some may argue the primary function of science is to investigate the conditions in the lab so everyday interactions with the environment are more effective and efficient. This is the underlying philosophy of the science of behavior analysis. Comprised of a basic science, an applied science and a philosophy the field of behavior analysis relies on research developments to inform effective practice. Guided by dissemination processes studied in information science, this investigation revealed the content layer in behavior analysis is primarily comprised of journal articles. Ninety four percent of the research artifacts cited in the current content layer are from journal articles. Other dissemination channels used to develop the behavior analytic content layer included scientific magazine articles, oral reports, dissertations and theses, and unpublished manuscripts. The information use environment for professionals in this field is very different than that of the scholars; most professionals do not have access to a university library. Therefore, the research producers are disseminating developments via communication channels some service providers cannot access. This investigation reveals the …

Educators often inquire about the readability of books and other documents used in the classroom, with the idea that readability supports students' reading comprehension and growth. Documents used in classrooms tend to be language-based, so readability metrics have long focused on the complexity of language. However, such metrics are unsuitable for multimodal documents because these types of documents also use non-language modes of communication. This is problematic because multimodal reading is increasingly recognized as a 21st-century skill. One information theoretic solution is transinformation analysis, an approach that measures readability as the difference between the objective entropy of a document and the subjective entropy of its reader. Higher transinformation indicates more information complexity. This study explored the viability of transinformation analysis as a measure of multimodal readability. Think aloud screen recordings from 15 eighth grade "advanced readers" of Episode 2 of the born-digital novel, Inanimate Alice served as the dataset. Findings showed that 14 of the readers attended to less than half the information in the story. Mean readability was .57, indicating a complex reading experience. Readers attended to and recalled information primarily from the linguistic mode, which may have been a strategy for reducing cognitive load, or it may have …

The U.S. National Library of Medicine brought the intensifying interest in open science to national attention when it joined enthusiastic scientists to introduce and host an Amazon-like rating forum on PubMed—the world's largest database of indexed biomedical and life sciences literature. The result was PubMed Commons. In June 2013, the commenting forum was introduced for open discussion about published scientific literature as part of a three-pronged approach to improve research rigor, reproducibility, and transparency. In Feb. 2018, the forum was unexpectedly discontinued. This retrospective explanatory case study research asked the question, "What happened on the way to the forum?" Answers came from a variety of resources using multiple methodologies for data collection and analysis. Historical data from PubMed Commons' 7,629 comments and 1,551 commenters; key informant interviews with PubMed Commons editors; and a systematized search for published articles, gray literature; and social media content about PubMed Commons were analyzed using computer-mediated discourse analysis and a social network analysis. Results from the quantitative content analysis described a forum with little participation, and the qualitative content analysis demonstrated that active forum members were focused primarily on providing links to other information resources and discussing aspects of post-publication peer review. The social network …

Cheating, beguiling, and misleading information exist all around us; understanding deception and its consequences is crucial in our information environment. This study investigates deception in phishing emails that successfully bypassed Microsoft 365 filtering system. We devised a model that explains why some people are deceived and how targeted individuals and organizations can prevent or counter attacks. The theoretical framework used in this study is Anderson's functional ontology construction (FOC). The methodology involves quantitative and qualitative descriptive design, where the data source is the set of phishing emails archived from a Tier 1 University. We looked for term frequency-inverse document frequency (Tf-idf) and the distribution of words over documents (topic modeling) and found the subjects of phishing emails that targeted educational organizations are related to finances, jobs, and technologies. Also, our analysis shows the phishing emails in the dataset come under six categories; reward, urgency, curiosity, fear, job, and entertainment. Results indicate that staff and students were primarily targeted, and a list of the most used verbs for deception was compiled. We uncovered the stimuli being used by scammers and types of reinforcements used to misinform the target to ensure successful trapping via phishing emails. We identified how scammers pick their …

When people access online health information, unfortunately, they have access to both clinically accurate and inaccurate information that they may then utilize to make informed personal health decisions. This research fills a gap in the literature of online health communities as they relate to chronic obstructive pulmonary disease (COPD). The conduct of this research required a multi-phased and multi-method approach, best presented in three distinct essays. In Essays 1 and 2, data gathering within two online health communities specific to COPD allowed this study to address three research questions: (1) what are the information needs of COPD patients that result in their participation in online health communities; (2) what are the information sources offered to the participants in these online communities; and (3) is the information obtained via those communities credible. Essay 1 harvested data from a moderated website hosted by a non-profit organization for patients with COPD and Essay 2 harvested data from a non-moderated Facebook group also serving this unique group. Data Miner, a Chrome extension designed to extract data, was used to collect data, key words and themes which brought an understanding of the health information needs of participants and identified what health information sources were preferred. …

Health disparities are a recognized public health concern and the need to address these disparities remains worthy of bringing new methods that assist in closing the gap. This research examined the effectiveness of data science to highlight health disparities, and to convey the value of data science applications in related health care applications. The goal of this research was accomplished by undertaking a multi-phased and multi-method approach, best represented in three individual essays. In essay one, a systematic literature review assessed the state in current academic literature of data science applications used to explore health disparities and to determine its applicability. The systematic review was guided by the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Essay two assessed the capacity of data science software to address the effectiveness of these data science technologies in examining health disparities data. This was conducted using KDnuggets data pertaining to analytics, data science, and machine-learning software. The research in this essay demonstrated the potential utility of leading software to perform the kinds of data science operations that can achieve improved care in healthcare networks by addressing health disparities. Essay three provided an appropriate case study to showcase the value data science …