Testing mediation via indirect effects in PLS-SEM: A social networking site illustration

Mediation analysis, in the context of structural equation modeling via partial least squares (PLSSEM), affords a better understanding of the relationships among independent and dependent variables, when the variables seem to not have a definite connection. In this paper, we demonstrate such an analysis in the context of social networking sites, using WarpPLS, a leading PLS-SEM software tool

The Role of Technology in Online Health Communities: A Study of Information-Seeking Behavior

This study significantly contributes to both theory and practice by providing valuable insights into the role and value of healthcare in the context of online health communities. This study highlights the increasing dependence of patients and their families on online sources for health information and the potential of technology to support individuals with health information needs. This study develops a theoretical framework by analyzing data from a cross-sectional survey using partial least squares structural equation modeling and multi-group and importance-performance map analysis. The findings of this study identify the most beneficial technology-related issues, like ease of site navigation and interaction with other online members, which have important implications for the development and management of online health communities. Healthcare professionals can also use this information to disseminate relevant information to those with chronic illnesses effectively. This study recommends proactive engagement between forum admins and participants to improve technology use and interaction, highlighting the benefits of guidelines for effective technology use to enhance users\u27 information-seeking processes. Overall, this study\u27s significant contribution lies in its identification of factors that aid online health community participants in the information-seeking process, providing valuable information to professionals on using technology to disseminate information relevant to chronic illnesses like COPD

Exploring the Coverage of Cyberchondria Addiction in Newspapers: A Perspective from the USA

Objectives: The purpose of this study is to investigate how US newspapers reported cyberchondria from 2009 to 2021. Cyberchondria shares similarities with addiction, making it imperative to delve into its representation in media. Cyberchondria refers to an issue of excessive and repetitive internet searches for health information often accompanied by obsessive-compulsive behavior. The goal of this research is locate the frames that appear in cyberchondria coverage, look at how the frames have changed over the given time span, and assess the emotions that the news frames portray. Method: After collecting the relevant news items, the study applies correspondence analysis, sentiment analysis, and cooccurrence network analysis. The NRC word-emotion lexicon is used for sentiment analysis, while the Fruchterman and Reingold algorithm is used for co-occurrence network analysis. Results: The co-occurrence network analysis reveals six frames in cyberchondria coverage. The frames depict themes such as defining cyberchondria, the impact on healthcare providers, health information-seeking behavior, internet diagnosis, and the exaggeration of health concerns. Sentiment analysis reveals that the predominant feeling, which reflects both the positive and negative elements of cyberchondria, is trust, followed by fear. Coding strategies validate the covering themes’ consistency during the years under examination. Correspondence analysis indicates a consistent framing pattern over the years, and we can see an increasing focus on academic studies addressing cyberchondria. Conclusions: The results point to the necessity of ongoing public awareness campaigns, health literacy initiatives, and stakeholder collaboration to effectively address the problems associated with cyberchondria addiction in the digital age. Policymakersand media practitioners can benefit greatly from the study’s insightful contributions in reducing the negative effects of cyberchondria addiction on society

Understanding quality factors of electronic health service in an emerging economy

In the context of an emerging economy, this research investigates consumers’ experiences with electronic health service systems and their impact on satisfaction and future usage intention. It draws from a user engagement and a value co-creation perspective to examine complex transferring mechanisms and boundary conditions. Survey data from users of online health service systems were collected from an emerging market and subjected to regression analysis to test the hypotheses. Consumers’ experience-based attributions of the electronic system – system and information quality as well as content reliability – have a positive impact on intention to use, which are mediated by satisfaction. Interaction of the consumer with the system moderates the effects of both information system quality and information quality on satisfaction. The indirect effects of information and system quality on intention to use via satisfaction differ based on the consumer interaction. Also, effects of information quality and content reliability on intention to use are moderated by consumers’ perceptions of behavioral control. The study provides further evidence in the link between quality and satisfaction in the use of electronic health services systems in the context of an emerging market. The study focuses on explicating complex associations and focus on mediation and moderation effects only. This deepens our understanding of transferring mechanisms and boundary conditions, and provides more insights into the theory than just investigating the direct effects

Framing of COVID-19 in Newspapers: A Perspective from the US-Mexico Border

The degree to which the media report a health emergency affects the seriousness with which the people respond to combat the health crisis. Engagement from local newspapers in the US has received scant scrutiny, even though there is a sizable body of scholarship on the analysis of COVID-19 news. We fill this void by focusing on the Rio Grande Valley area of the US-Mexico border. To understand the differences, we compared such local news coverage with the coverage of a national news outlet. After collecting the relevant news articles, we used sentiment analysis, rapid automatic keyword extraction (RAKE), and co-occurrence network analysis to examine the main themes and sentiments of COVID-19 news articles. The RAKE identified that county-specific news or local regulations are more prevalent among the key terms in The Monitor which are absent in USA Today. The co-occurrence network shows the coverage of the disruption of sports season in USA Today which is not present in The Monitor. The sentiment analysis presents fear emotion is more dominant in USA Today, but trust emotion becomes more prevalent in The Monitor news coverage. These findings show us that, although the subject of the health emergency is the same, local and national newspapers describe it in different ways, and the sentiments they convey are also not the same