Evaluation of a Social Media Campaign Designed to Increase Awareness of Thirdhand Smoke among California Adults

TikToks Lead to Higher Knowledge and Perceived Severity of Sexual Violence among Adolescent Men

Social media communication is a promising way to deliver important health messages about sexual violence to a key population of adolescent men. The researchers conducted an online, between-participants experiment to examine the impact of personal narrative TikToks about sexual violence on adolescent men. Participants were adolescent men (n = 580) aged 15 to 19 (M = 17.3, SD = 1.43). Participants were randomly assigned to treatment (personal narrative TikToks about sexual violence) or control (hair braiding TikTok tutorials) conditions. Adolescent men who viewed personal narrative TikToks about sexual violence had higher knowledge of consequences and higher perceived severity of sexual violence. Additionally, adolescent men found personal narrative TikToks more attention-grabbing (vs. control) and did not have negative reactions. Findings that short (approximately one-minute) TikTok videos led to differences in knowledge and beliefs among, and were interesting and not aversive to, adolescent men are important for sexual violence prevention research. Health messages on TikTok can help shift adolescent perceptions of sexual violence, which is a key starting point towards changing norms.

Attitudes towards the 'Shisha No Thanks' campaign video: Content analysis of Facebook comments

INTRODUCTION

While social media are commonly used in public health campaigns, there is a gap in our understanding of what happens after the campaign is seen by the target audience. This study aims to understand how the Shisha No Thanks campaign video was received by the Facebook audience by analyzing Facebook comments posted to it. Specifically, this study aims to determine whether the Facebook audience accepted or rejected the campaign’s message.

METHODS

A sample of the Facebook comments was extracted, and the study team, which included cultural support workers, developed content categories consistent with the research question. Each comment was then coded by three team members, and only assigned a category if there was agreement by at least two members.

RESULTS

Of the 4990 comments that were sampled, 9.1% (456) accepted the campaign message, 22.9% (1144) rejected the message, 21.8% (1089) were unclear, and 46.1% (2301) contained only tagged names. Of the sample, 2.8% (138) indicated the commenter took on board the campaign message by expressing an intention to stop smoking shisha, or asking a friend to stop smoking shisha. Of the comments that showed rejection of the campaign, the majority were people dismissing the campaign by laughing at it or expressing pro-shisha sentiments.

CONCLUSIONS

This study demonstrates that conducting content analyses of social media comments can provide important insight into how a campaign message is received by a social media audience.

Evaluation of Thirdhand Smoke Exposure after Short Visits to Public Facilities (Noraebang and Internet Cafés): A Prospective Cohort Study

We aimed to evaluate the degree of thirdhand smoke (THS) caused by short-term exposure to smoking-related substances. To this end, we evaluated the change in concentration of a smoking-related urine biomarker in volunteers before and after visiting public spaces where there is likely THS exposure. We hypothesized that a visit to such public spaces would result in an increase in such biomarkers. Participants visited one of the predetermined facilities (noraebang, PC café) and revisited the same facility after 24 h, spending around 2 h per visit. We selected creatinine-corrected urine cotinine (CUC) as a biomarker to evaluate THS. In addition, we collected nicotine-derived nitrosamine ketone (NNK) from surface dust at each site with cotton swabs (diameter of 2.5 cm). We examined whether CUC concentration significantly changed across three time points (baseline, first visit, and second visit) via repeated-measures analysis of variance (RM-ANOVA). Moreover, we analyzed the interaction to determine whether cigarette smell affects the CUC concentration. Finally, CUC and dust NNK were analyzed with Pearson’s correlation. The CUC concentration did not increase from baseline to the first visit, but increased from the baseline to the second visit (Diff = Ln [0.565] ng/mg, P < 0.01). Further, the CUC concentration increased from the first to the second visit (Diff = Ln [0.393] ng/mg, p < 0.01). In the case of the interaction effect, there were statistically significant differences in CUC concentration depending on the smell of smoke in the facility (Diff = Ln [0.325], F value = 4.438, p value = 0.041). The change in CUC concentration from baseline to the second visit (r = 0.562, p < 0.001) and from the first to the second visit (r = 0.544, p < 0.001) were correlated with NNK concentration. We evaluated whether a short stay in a facility with smoke-related substances that adhere to the surrounding environment would expose individuals to THS even if they do not smell or are directly exposed to cigarette smoke. We confirmed that even two relatively short stays (approximately 2 h each) in a facility in which people had previously smoked can lead to THS exposure.