Background To track and reduce the spread of COVID-19, apps have been developed to identify contact with individuals infected with SARS-CoV-2 and warn those who are at risk of having contracted the virus. However, the effectiveness of these apps depends highly on their uptake by the general population. Objective The present study investigated factors influencing app use intention, based on the health belief model. In addition, associations with respondents’ level of news consumption and their health condition were investigated. Methods A survey was administered in Flanders, Belgium, to 1500 respondents, aged 18 to 64 years. Structural equation modeling was used to investigate relationships across the model’s constructs. Results In total, 48.70% (n=730) of respondents indicated that they intend to use a COVID-19 tracing app. The most important predictor was the perceived benefits of the app, followed by self-efficacy and perceived barriers. Perceived severity and perceived susceptibility were not related to app uptake intention. Moreover, cues to action (ie, individuals’ exposure to [digital] media content) were positively associated with app use intention. As the respondents’ age increased, their perceived benefits and self-efficacy for app usage decreased. Conclusions Initiatives to stimulate the uptake of contact tracing apps should enhance perceived benefits and self-efficacy. A perceived barrier for some potential users is privacy concerns. Therefore, when developing and launching an app, clarification on how individuals’ privacy will be protected is needed. To sustain perceived benefits in the long run, supplementary options could be integrated to inform and assist users.

The double-edged nature of modern technology, continuously balancing between risks and opportunities, manifests itself clearly in an emerging societal problem known as cyberbullying. To analyse the extent and nature of the issue in Belgium, 1318 adolescents were questioned explicitly about their involvement in cyberbullying, as well as implicitly about their experience with specific types of cyberbullying-related behaviour. This alternate questioning revealed higher victimisation and perpetration rates. The study also provides better insight into predictors associated with victimisation or perpetration in cyberbullying. Especially past involvement in cyberbullying and engaging in online risk behaviour increase the likelihood of victimisation; non-rejection of cyberbullying and online identity experimentation augment the likelihood of perpetration. Girls are more likely to become victims of cyberbullying, whereas boys are more inclined to engage in electronic bullying. Moreover, the incidence of cyberbullying increases slightly with age. Finally, teens spending much time on the Internet, reporting higher ICT expertise and owning a computer with privileged online access share an increased likelihood of online bullying behaviour. Ó

To diminish the risk of spreading COVID-19 as society exits the lockdowns, several apps have been developed for contact tracing. These apps register which users have been in proximity of each other. If a user is diagnosed with COVID-19, app users who have been recently in proximity to this person are notified. The effectiveness of these apps highly depends on public support. Therefore, this study investigated the factors that influence app use intention, based on an extended unified theory of acceptance and use of technology model. A survey was administered in Belgium (Flanders) to 1,500 participants aged 18 to 64 years old. Structural equation modeling was used to test the relationships among the model's constructs. Our results indicated that 48.70 percent of the respondents wanted to use the app. The model explained 39 percent of the variance in app use intention. The most important predictor was performance expectancy, followed by facilitating conditions and social influence. Effort expectancy was not related to intention. Moreover, individuals' innovativeness was positively related with app use intention, whereas app-related privacy concerns negatively influenced intention. Based on the results, suggestions are made for policy makers and developers.

Sexting: Adolescents' Perceptions of the Applications Used for, Motives for, and Consequences of Sexting.

As chatbots have become increasingly popular over the past years, most social networking sites have recognized their far-reaching potential for commercial purposes. Their rapid and widespread usage warrants a better understanding. This study examines the effectiveness of chatbots on Facebook for brands. The study proposes and tests a model based on the Consumer Acceptance of Technology model (CAT-model) including three cognitive (i.e., perceived usefulness, perceived ease-of-use, and perceived helpfulness) and three affective (pleasure, arousal, and dominance; PAD-dimensions) determinants that potentially influence consumers' attitude toward brands providing a chatbot, and hence, their likelihood to use and recommend the chatbot (i.e., patronage intention). Structural equation modeling analyses show that two cognitive (i.e., perceived usefulness and perceived helpfulness) and all three affective predictors are positively related to consumers' attitude toward the chatbot brand. The findings further indicate that attitude toward the brand explained a significant amount of variation in consumers' patronage intention. Finally, all the significant determinants also have an indirect effect on patronage intention, mediated through attitude toward the brand. In conclusion, our findings hold valuable practical implications, as well as relevant suggestions for future research.