RESUMO
Previous research on health information seeking has primarily focused on individuals'intentions to seek or avoid information. However, limited empirical evidence exists regarding the actual behavioral patterns of information-seeking and non-seeking. To address this, we conducted a survey experiment manipulating cognitive load with mostly Belgian participants (N = 359). By integrating self-report and behavioral data, we investigated motivations and conditions associated with information (non)-seeking behaviors on a healthy diet. Guided by the risk information seeking and processing (RISP) model, we examined the roles of informational subjective norms and information insufficiency, as well as the moderating role of cognitive capacity. Neither informational subjective norms nor information insufficiency significantly correlated with information-seeking behaviors. However, a significant interaction between the predictors and cognitive capacity in predicting non-seeking behaviors was observed. These findings underscore the intricate nature of individuals' behavioral patterns in seeking or not seeking information about healthy eating.
RESUMO
Objective: The Arabic-speaking world had the lowest vaccine rates worldwide. The region's increasing reliance on social media as a source of COVID-19 information coupled with the increasing popularity of YouTube in the Middle East and North Africa region begs the question of what COVID-19 vaccine content is available in Arabic on YouTube. Given the platform's reputation for being a hotbed for vaccine-related misinformation in English, this study explored the COVID-19 vaccine-related content an individual is likely to be exposed to on YouTube when using keyword-based search or redirected to YouTube from another platform from an anti-vaccine seed video in Arabic. Methods: Only using the Arabic language, four networks of videos based on YouTube's recommendations were created in April 2021. Two search networks were created based on Arabic pro-vaccine and anti-vaccine keywords, and two seed networks were created from conspiracy theory and anti-vaccine expert seed videos. The network exposure model was used to examine the video contents and network structures. Results: Results show that users had a low chance of being exposed to anti-vaccine content in Arabic compared to the results of a previous study of YouTube content in English. Of the four networks, only the anti-vaccine expert network had a significant likelihood of exposing the user to more anti-vaccine videos. Implications were discussed. Conclusion: YouTube deserves credit for its efforts to clean up and limit anti-vaccine content exposure in Arabic on its platform, but continuous evaluations of the algorithm functionality are warranted.
RESUMO
The Egyptian government has acquired COVID-19 vaccines from different sources; however, the vaccination rates and vaccine acceptance among the public remained low. News media play an influential role in shaping the public's understanding of medical issues and promoting health behaviors such as vaccination. Guided by the Extended Parallel Processing Model (EPPM) and the framing theory, a content analysis of COVID-19 vaccines coverage in two established Egyptian newspapers in Arabic (Al-Goumhuria and Al-Masry Al-Youm) between January 2020 and November 2021 was conducted. Findings suggested that the Egyptian newspapers focused on the efficacy of the vaccines but downplayed the severity of COVID-19. Most articles from both newspapers did not use gain or loss frames, although Al-Goumhuria was most likely to use both (loss and gain) frames simultaneously. Specific vaccine information regarding its safety, side effects, and effectiveness was minimal in both newspapers. The differences in COVID-19 vaccine coverage between the two newspapers were limited, suggesting a high level of government control of COVID-19 related content, regardless of whether it is state- or private-owned newspaper. Theoretical and practical implications of the findings were discussed.