- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07694739
E-cigarette Social Media Marketing and Its Perceptions by Youth
July 3, 2026 updated by: Jennifer Unger, University of Southern California
Evolution of Influencer-driven E-cigarette Marketing on Social Media and Its Effect on E-cigarette Perceptions and Use Patterns Among Adolescents
The proposed study will conduct two randomized between-subject experiments among 6,000 adolescents (per each experiment) recruited nationwide to test the effects of audio-visual features of e-cigarette influencer marketing on perceptions of influencer credibility, e-cigarette harm perceptions, appeal, and susceptibility to e-cigarette use.
This protocol represent the first experiment.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Detailed Description
We will estimate the effects of visual features often used in e-cigarette influencer marketing on social media on perceptions of influencer credibility, harm perceptions, appeal and susceptibility to e-cigarette use among adolescents.
We will assess interaction of the perceived age of influencers (young-looking vs older-looking) with the following features of influencer marketing, using two survey-based experiments: Experiment 1 will assess the effects of theme or social context appeal, i.e., use of generally positively perceived lifestyle contexts (e.g., healthy lifestyle, entertainment) alongside e-cigarette marketing.
Study Type
Interventional
Enrollment (Estimated)
6000
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Jennifer B Unger, PI, PhD
- Phone Number: (323) 442-7200
- Email: unger@usc.edu
Study Contact Backup
- Name: Julia Vassey, PhD
- Phone Number: (323) 442-7200
- Email: vassey@usc.edu
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- 14-17 years of age,
- English fluency,
Exclusion Criteria:
Not meeting the following criteria:
- 14-17 years of age,
- English fluency,
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Experimental: Videos featuring young influencers promoting e-cigarettes alongside fitness
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring young influencers promoting e-cigarettes alongside entertainment
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring young influencers promoting e-cigarettes alongside fashion
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring young influencers promoting e-cigarettes alongside avatar
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring older influencers promoting e-cigarettes alongside fitness
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring older influencers promoting e-cigarettes alongside fashion
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring older influencers promoting e-cigarettes alongside avatar
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring young influencers promoting e-cigarettes alone
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Active Comparator: Experimental: Videos featuring older influencers promoting e-cigarettes alone
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Placebo Comparator: Experimental: Videos featuring two neutral profiles of older influencers
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Placebo Comparator: Experimental: Videos featuring two neutral profiles of younger influencers
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
|
Experimental: Experimental: Videos featuring older influencers promoting e-cigarettes alongside entertainment
|
Participants watched online survey-imbedded promotional videos featuring influencers.
Influencer age appearance was manipulated using AI-based age filter.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Harm Perceptions of e-cigarettes
Time Frame: Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
Responses to one question adapted from PATH, "Based on the videos you just watched, do you think using e-cigarettes for vaping nicotine is harmful to your health?"
The outcome was assessed on the 5-point ordinal scale with the following response choices: Not at all harmful, slightly harmful, somewhat harmful, very harmful, extremely harmful.
|
Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
|
Perceived appeal of e-cigarettes
Time Frame: Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
Responses to the following questions: using e-cigarette is: not cool/cool, unattractive/attractive were assessed on the 7-point semantic differential scale with the word pairs anchored at each end.
The scale was adapted from prior research.
The items were combined (by summing all the non-missing values of the items) into one variable (α=0.94).
|
Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
|
Susceptibility to e-cigarette use
Time Frame: Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
Susceptibility to e-cigarette use was measured (among never-users of e-cigarettes), using the validated three-item scale (indicating peer influence, intention, and curiosity about e-cigarette use) adapted from PATH, and combined into one variable (α=0.93).
Consistent with prior research, the measure was dichotomized with responses "definitely not" to all items being coded as "not susceptible" and responses "probably not," "probably yes", or "definitely yes" being coded as "susceptible.
|
Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
|
Perceived influencer credibility
Time Frame: Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
Perceived influencer credibility (i.e., honesty, trustworthiness, knowledge) were assessed using a 0 (e.g., dishonest) -100 (e.g., honest) scale that has been validated in prior research.
|
Assessed 10 times immediately after each of the 10 videos during the 15-minute-long survey-based experiment
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Jennifer B Unger, PhD, University of Southern California
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
January 1, 2027
Primary Completion (Estimated)
December 30, 2028
Study Completion (Estimated)
December 30, 2030
Study Registration Dates
First Submitted
July 3, 2026
First Submitted That Met QC Criteria
July 3, 2026
First Posted (Actual)
July 10, 2026
Study Record Updates
Last Update Posted (Actual)
July 10, 2026
Last Update Submitted That Met QC Criteria
July 3, 2026
Last Verified
July 1, 2026
More Information
Terms related to this study
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
survey is anonymous.
Data will be publicly available on GitHub repository if manuscripts related to this study are accepted for publication
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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