Background: Mobile health (mHealth) as an innovative form of information and communications technology can efficiently deliver high-quality health care by enhancing communication and health management, reducing costs, and increasing access to health services. An individual’s internal health locus of control (HLOC) is found to be associated with the behavioral intent to adopt mHealth. However, little is known about the underlying mechanism of this association. Objective: The primary objective of this study was to test the mediation influence of the Unified Theory of Acceptance and Use of Technology (UTAUT) on the relationship between internal HLOC and the behavioral intention to use mHealth. Methods: A total of 374 responses were collected from Malaysian adult users of mHealth, using convenience and snowball sampling methods. Partial least squares structural equation modeling was used to analyze the data. Data were collected for variables, including demographics, internal HLOC, and modified UTAUT constructs (ie, performance expectancy, effort expectancy, and social influence). Results: The results showed that there was no direct relationship between internal HLOC and the behavioral intention to use mHealth (β=−0.039, P=.32). The indirect relationship between internal HLOC and the intent to adopt mHealth was supported, indicating that the UTAUT constructs performance expectancy (β=0.104, P<.001), effort expectancy (β=0.056, P=.02), and social influence (β=0.057, P=.002) mediated this relationship. The results showed full mediation, with total variance explained at 47.2%. Conclusions: This study developed an integrative model, where a health-related disposition (internal HLOC), mHealth-related beliefs (performance expectancy and effort expectancy), and normative pressure (social influence) were combined to explain the underlying mechanism of the behavioral intent to adopt mHealth. The results showed that the intention to adopt mHealth is mediated by the influence of UTAUT factors, while HLOC has no direct effect on adoption intention. The findings provide insights into augmenting mHealth adoption among the public by enhancing the perceived benefits of mHealth, helping design more effective and user-friendly mHealth tools, and capitalizing on social normative influence to adopt mHealth. This study utilized the constructs of the UTAUT model to determine the intention to use mHealth. Future research should focus on other health- and technology-related theories to ascertain other possible factors influencing the behavioral intent of mHealth adoption.

The metaverse has sparked lots of interest worldwide as many giant tech companies are pursuing this futuristic idea. However, it has not been properly studied empirically by social science scholars yet. Considering the vital role played by media frames in affecting people's attitudes and behaviors towards the technology, this study examined the framing of the metaverse in popular news across Social Network Sites (SNSs) by cluster analyzing Entman's four operational frame elements. It identified five frames: economic prospect frame, unwanted future frame, consumer prospect frame, threatening future frame, and probable future frame. Overall, findings suggest a polarized framing of the metaverse on social media. While the majority of voices about the metaverse are optimistic, there is also a strong negative and dystopian perspective in more than one third of the SNS news. This positive or negative one-sided framing of the metaverse on SNSs may therefore fragmentize and polarize the audience, rather than informing in a balanced way. Implications for future research are discussed.

Deepfakes pose a serious threat to societies. While deepfake-specific literacy programs are emerging, they may backfire and reduce trust in media. This study aims to explore traditional news literacy as an alternative buffering factor. We examine how news literacy can combat the effects of deepfakes and whether deepfake knowledge and heterogeneous political discussion moderate this effect. We conducted a cross-sectional survey with a representative sample in the United States (N = 1,008) using Qualtrics. We run bootstrapped regression mediation and moderation analysis to test our hypotheses. Results suggest that higher news literacy is associated with lower deepfake sharing by helping individuals discern deepfakes. Those with greater deepfake knowledge and more frequent heterogeneous political discussions are better at using news literacy to identify deepfakes and avoid sharing them. This study is among the first to examine how traditional news literacy can counter deepfakes, a growing form of disinformation. It extends news literacy theory by assessing its role in protecting against multimodal disinformation. Additionally, it contributes to cognitive theory by highlighting the combined influence of news literacy, deepfake knowledge, and social media discussion heterogeneity in resisting deepfakes. These insights offer practical strategies to reduce the harm caused by deepfakes.

The mental health issues due to COVID-19, such as intolerance of uncertainty (IOU), anxiety, stress, and depression, have attracted extensive attention from researchers. The challenges for Pakistani university students could be worse than developed countries due to the lack of online courses/programs and online mental health support provided by academic institutions. Therefore, the current study aims to assess the intolerance of uncertainty, depression, anxiety, and stress of Pakistani university students after the second wave of COVID-19 and the relationship among these constructs. A convenience cross-sectional sampling method was used to collect data from university students in Pakistan between January 2021 and April 2022 via a structured online questionnaire. The Descriptive analysis focused on frequencies, percentages, mean, and standard deviation (SD) were calculated on IOU-12 and DASS-21. Covariance for the research model and confirmatory factor analyses fit indices for the IOU-12 and DASS-21 were analyzed by AMOS statistical packages. As expected, anxiety, depression, and stress persist among Pakistani university students. On average, they report mild to moderate mental health problems regarding anxiety, depression, stress, and intolerance of uncertainty. Our results indicate a strong positive relationship among the three emotional distress components - anxiety, depression, and stress. However, our results suggest no significant relationship between IOU and the three subcomponents of emotional distress (anxiety, depression, and stress). First, the cross-sectional survey design means we cannot conclude on the causal relations. Second, the self-report questionnaire embeds subjectivity issues. Last, the generalizability of the sample to the whole student population in Pakistan is limited, considering the sampling method. This study expanded the current knowledge in the psychological health domain (intolerance of uncertainty, anxiety, depression, and stress) due to the COVID-19 pandemic. In practice, higher education institutions should further mitigate university students' mental health issues. For researchers, our findings inspire future studies to delve into the relationship between IOU and mental health issues due to COVID-19 since our findings display contrary evidence for various reasons.