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Content analysis of a crowdsourced social media platform about alcohol law and policy enforcement: Using qualitative software to achieve quantitative results
methods: Analyses were conducted on a crowdsourced social media platform (32,800 followers) that focuses on the area surrounding a large, public university in the Southeastern U.S. An open-coding approach to categorizing tweets and retweets relayed across 12 months (N=855 tweets) was conducted using qualitative analysis software. The software’s web browser add-on was employed to quickly upload and quantify tweets. Frequencies of each category were compiled into word clouds, which are graphical representations of information based on word frequency.
results: Categories of information most frequently tweeted by the platform included: police and emergency personnel presence, traffic updates, and speed enforcement locations. The majority of information concerned off-campus locations, and the most retweeted messages were safety alerts. The highest activity occurred on Fridays and Saturdays, with a clear decrease during months when students were not enrolled in classes.
conclusions: While the platform provides information on alcohol-related law enforcement, practical information about safety and traffic patterns were more strongly represented. Results of the current analysis showed that students were clearly interested in information about off-campus areas, indicating that universities should expand their social media coverage to include areas where students live and work, particularly when delivering safety alerts.
Learning Areas:
Conduct evaluation related to programs, research, and other areas of practiceOther professions or practice related to public health
Public health or related research
Social and behavioral sciences
Learning Objectives:
Describe how qualitative analysis software can be used to facilitate social media analysis
Identify usage and content patterns of a particular crowdsourced social media platform popular with college students
Keyword(s): Social Media, Data Collection and Surveillance
Qualified on the content I am responsible for because: I am the principal investigator of the current work, which is part of my dissertation in pursuit of a doctoral degree in Health Promotion, Education, and Behavior. I conceptualized and executed the current work. I have eight years of experience in substance abuse prevention and health promotion on college campuses. My research focuses on prevention of high-risk alcohol use in college populations.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.