Using Data Analytics to Filter Insincere Posts from Online Social Networks A case study: Quora Insincere Questions

The internet in general and Online Social Networks (OSNs) in particular continue to play a significant role in our life where information is massively uploaded and exchanged. With such high importance and attention, abuses of such media of communication for different purposes are common. Driven by goals such as marketing and financial gains, some users use OSNs to post their misleading or insincere content. In this context, we utilized a real-world dataset posted by Quora in Kaggle.com to evaluate different mechanisms and algorithms to filter insincere and spam contents. We evaluated different preprocessing and analysis models. Moreover, we analyzed the cognitive efforts users made in writing their posts and whether that can improve the prediction accuracy. We reported the best models in terms of insincerity prediction accuracy

Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience

Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to deliver excellent quality, at optimized costs, while improving the health of the population. This study extends the existing literature by extracting dimensions related to the Mobile Patient Portal Use. We use a topic modeling approach to systematically analyze users’ feedback from the actual use of a common mobile patient portal, Epic’s MyChart. Comparing results of Latent Dirichlet Allocation analysis with those of human analysis validated the extracted topics. Practically, the results provide insights into adopting mobile patient portals, revealing opportunities for improvement and to enhance the design of current basic portals. Theoretically, the findings inform the social-technical systems and Task-Technology Fit theories in the healthcare field and emphasize important healthcare structural and social aspects. Further, findings inform the humanization of healthcare framework, support the results of existing studies, and introduce new important design dimensions (i.e., aspects) that influence patient satisfaction and adherence to patient portal

What are the Gaps in Mobile Patient Portal? Mining Users Feedback Using Topic Modeling

Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. In this article, we extend the existing literature by discovering design gaps for patient portals from a systematic analysis of negative users’ feedback from the actual use of patient portals. Specifically, we adopt topic modeling approach, LDA algorithm, to discover design gaps from online low rating user reviews of a common mobile patient portal, EPIC’s mychart. To validate the extracted gaps, we compared the results of LDA analysis with that of human analysis. Overall, the results revealed opportunities to improve collaboration and to enhance the design of portals intended for patient-centered care

The Influence of Peers Social Structure in Healthcare Social Networking Websites

Although the demand for online patients to look for online health information is in high, few of them seems to demonstrate effective use of the health Social Network Sites (SNSs) (Fox and Jones 2009). Exploring the design features that can motivate individuals to actively participate in the health SNSs is crucial to develop platforms that can support sustainable online social structures (Butler 2001). This study seeks to investigate the influence of the peers structure capacity as an important feature of health SNSs on two individuals’ behaviors, effective SNSs use and willingness to share Personal Health Information (PHI). Accordingly, our goals in this paper are in twofold: First, identifying the psychological influence of the SNSs structure that helps individuals find others who have similar medical conditions and concerns (i.e. shape their peer group), and second, examining the impact of these psychological factors on effective SNSs use and willingness to disclose PHI

A Systematic Analysis of Patient Portals Adoption, Acceptance and Usage: The Trajectory for Triple Aim?

Personal Health Records (PHR), often known as patient portal, are consumer-centric tools that can strengthen consumers’ ability to actively manage their own health and healthcare. The incorporation of patient portals provides the promise to assist with Triple Aim and population health goals. Patient portals encourage patients to play a more active role in their healthcare by giving them more responsibility for maintaining a healthy lifestyle and managing chronic diseases and thus may provide a cost-effective way to improve quality of care. In this study, we extend the existing literature by using a data analytic approach to provide more insights in adopting mobile patient portals. Specifically, we aim to use topic modeling approach, LDA algorithm, to systematically analyze users’ feedback (i.e., online users’ reviews) from the actual use of a common mobile patient portal, Epic’s MyChart. To validate the extracted topics, we compared the results of LDA analysis with that of human analysis. Overall, the extracted topics revealed opportunities for improvement and to enhance the design of current basic portals to improve usage. Improved portal usage will move toward effective population health management and achievement of the triple aim goals

Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience

Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to deliver excellent quality, at optimized costs, while improving the health of the population. This study extends the existing literature by extracting dimensions related to the Mobile Patient Portal Use. We use a topic modeling approach to systematically analyze users’ feedback from the actual use of a common mobile patient portal, Epic\u27s MyChart. Comparing results of Latent Dirichlet Allocation analysis with those of human analysis validated the extracted topics. Practically, the results provide insights into adopting mobile patient portals, revealing opportunities for improvement and to enhance the design of current basic portals. Theoretically, the findings inform the social-technical systems and Task-Technology Fit theories in the healthcare field and emphasize important healthcare structural and social aspects. Further, findings inform the humanization of healthcare framework, support the results of existing studies, and introduce new important design dimensions (i.e., aspects) that influence patient satisfaction and adherence to patient portal

The Effect of Perceived IS Support for Creativity on Job Satisfaction: The Role of effective IS use in virtual workplaces

Organizations have been increasingly utilizing various IT technologies to reduce boundaries, secure individuals’ explicit and tacit knowledge, facilitate information sharing and connect human capitals regardless of their geographically dispersed locations and cross-level unit structures. The core competency of information technology/systems (IT/IS) use is essential to maintain the effective functioning of virtual workplaces. While IS research has examined creativity on virtual teams, it has given little attention to how the relationship among creativity and job satisfaction may be altered as a consequence of effective use in virtual organizations. The roles of effective IS use in virtual team contexts have not been explicitly modeled to understand how and why effective IS use and creativity influence job satisfaction. This study examines the effect of creativity concepts by using perceived IS support for creativity as a proxy via effective IS use and compares such effect in two different work settings

Discovering Design Principles for Health Behavioral Change Support Systems: A Text Mining Approach

Behavioral Change Support Systems (BCSSs) aim to change users’ behavior and lifestyle. These systems have been gaining popularity with the proliferation of wearable devices and recent advances in mobile technologies. In this article, we extend the existing literature by discovering design principles for health BCSSs based on a systematic analysis of users’ feedback. Using mobile diabetes applications as an example of Health BCSSs, we use topic modeling to discover design principles from online user reviews. We demonstrate the importance of the design principles through analyzing their existence in users’ complaints. Overall, the results highlight the necessity of going beyond the techno-centric approach used in current practice and incorporating the social and organizational features into persuasive systems design, as well as integrating with medical devices and other systems in their usage context

Discovering Design Principles for Persuasive Systems: A Grounded Theory and Text Mining Approach

Persuasive systems aim to change users\u27 behavior and lifestyle. These systems have been gaining popularity with the proliferation of wearable devices and recent advances in information technology. In that regard, recent research aims at identifying system design principles that are specific to persuasive systems. In this article we extend the existing literature by discovering design principles for persuasive systems from a systematic analysis of users feedback from the actual use of persuasive systems. Specifically, we use grounded theory and text mining (topic modeling) to extract design concepts from online user reviews of mobile diabetes applications. Overall, the results extend existing findings by highlighting the necessity of going beyond the techno-centric approach used in current practice and incorporating the social and structural features into persuasive system design