Jinghui Hou

While the senior population has been increasingly engaged with reading on mobile technologies, research that specifically documents the impact of technologies on reading for this age group has still been lacking. The present study investigated how different reading media (screen versus paper) might result in different reading outcomes among older adults due to both cognitive and psychological factors. Using a laboratory experiment with 81participants aged 57 to 85, our results supported past research and showed the influence of cognitive map formation on readers’ feelings of fatigue. We contributed empirical evidence to the contention that reading on a screen could match that of reading from paper if the presentation of the text on screen resemble that of the print. Our findings also suggested that individual levels of technophobia was an important barrier to older adults’ effective use of mobile technologies for reading. In the post hoc analyses, we further showed that technophobia was correlated with technology experience, certain personality traits, and age. The present study highlights the importance of providing tailored support that helps older adults overcome psychological obstacles in using technologies.

Previous literature has suggested that examining Twitter messages can be productive for studying how the public shares and spreads health information on social media. Preexposure prophylaxis (PrEP) is a promising approach to HIV prevention, yet there are many issues that may influence its effective implementation. This study examined social representations of PrEP on Twitter. One thousand four hundred and thirty-five Tweets were collected and 774 English Tweets were content-analyzed to explore propagation of various issues around daily oral PrEP, as well as characteristics of the sources of those Tweets. We also examined how Twitter message content influenced information propagation. Our findings revealed that PrEP-related information on Twitter covered a wide range of issues, and individual users constituted the majority of the Tweet creators among all the sources, including news media, nonprofit and academic groups, and commercial entities. Using Poisson regression, we also found that a Tweet’s affective tone was a significant predictor of message propagation frequency. Implications for health practitioners are discussed.