Our findings could serve as baseline data for future ad campaigns. According to Snapchat’s policy, ads that “promote cigarettes , cigars, vaping products, tobacco, nicotine, or related products of any kind” are prohibited. Leveraging Snapchat’s platform features can help monitor and amplify the reach of health education campaigns. For instance, incorporating Snapcodes in health messages can link members of the audience to additional evidence-based resources related to cessation. As indicated by past work, use of geofencing to deliver tailored messages to adolescents and young adults in specific geographic locations could improve the impact of the messages. More generally, ad targeting features are available on most social media platforms suggesting that communication strategists could deploy similar messaging across platforms and evaluate exposure and engagement by target population . This may be crucial while considering hard-to-reach populations or those who may be priority populations for tobacco or cannabis use prevention.
Government and advocacy organizations may turn to Snapchat for targeted reach for their tobacco and cannabis-related ads cannabis grow equipment. Using a public dataset, the present study demonstrated how a communication strategist could collect and analyze ad metrics to inform future efforts. For example, a campaign may find that highlighting health consequences of poly-use of cannabis and tobacco may outperform a campaign that highlights legal consequences. Future research should explore determining factors shaping ad performance metrics on the adoption of sponsored social media health education campaigns. Findings may not generalize to other social media platforms or other time periods. This study could not determine if each ad was viewed in its entirety or viewed passively. This study was unable to determine whether all tobacco or cannabis-related ads were captured in the library or perform significance testing between themes and other categories of acteristics of ads sponsored on Snapchat and other platforms during 2019, which limits the interpretability of the findings. However, a prior study suggests that a million views or impressions is considered large on social media platforms.
Cannabis legalization is rapidly spreading throughout the United States . In 2010, approximately 27% of Americans lived in states with legal recreational and medical cannabis or medical cannabis only . By 2019, this figure had increased to 58% . In this rapidly changing legal environment, cannabis use has shifted. According to the National Survey on Drug Use and Health ,weed grow table for adults, past-month cannabis use increased significantly between 2002 and 2016 among 18-to-25-year-olds and adults 26 years of age and older. Conflicting data on cannabis legalization’s impact on public health has led to a quarrelsome debate regarding the relationship between cannabis use and traffic safety. Driving simulation data suggest that cannabis use impairs driving ability . However, national Fatal Accident Reporting System data has produced conflicting results on the effects of cannabis use on traffic safety. While one analysis of 2006-2008 FARS data found no relationship between testing positive for cannabis and traffic fatalities , an analysis of 2007 data did find a relationship .
A third analysis found a significant positive relationship between testing positive for cannabis and the severity of the injuries from crashes . Research on the effects of cannabis legalization on traffic safety are similarly complex. Although two analyses of FARS data from the 1990 s and 2000 s found fewer traffic fatalities in medical cannabis states , another analysis found no association between medical cannabis legalization and testing positive for THC. The only exception was in states with medical cannabis dispensaries; those states showed an increase in cannabis-positive drivers . Analyses in two recreational cannabis states, Colorado and Washington, suggest an association between recreational legalization and increases in self-reported driving under the influence of cannabis, the number of drivers testing positive for THC , and cannabis-related traffic deaths . Similarly, insurance claims data showed 3% more collisions over time in states that legalized recreational cannabis than in neighboring control states . Several reasons exist for variable findings. In addition, tests for cannabis impairment are limited in terms of their ability to account for frequency or dosage of use, both of which affect impairment while driving . Given the limitations of other data sources on DUIC, several studies have examined self-report data . For example, Fink et al. combined multiple national data sources to examine changes in the prevalence of self-reported DUIC between 1991 and 1992 and 2012 to 2013.