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Related Concept Videos

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Stimulants are substances that enhance neural activity and elevate dopamine levels in the brain, leading to their highly addictive nature. These drugs include cocaine, amphetamines, MDMA, caffeine, and nicotine, each with distinct mechanisms of action and varied health implications.
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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Related Experiment Video

Updated: Oct 1, 2025

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
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Published on: August 25, 2018

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#Vape: Measuring E-Cigarette Influence on Instagram With Deep Learning and Text Analysis.

Julia Vassey1, Catherine Metayer1, Chris J Kennedy1

  • 1The UC Berkeley Center for Integrative Research on Childhood Leukemia and the Environment, Berkeley, CA, United States.

Frontiers in Communication
|March 2, 2022
PubMed
Summary

The Food and Drug Administration's (FDA) anti-vaping campaign on social media did not significantly reduce e-cigarette content engagement. Vaping posts on Instagram saw increased likes and engagement after the campaign, with a rise in images of nicotine pods popular among young users.

Keywords:
deep learninge-cigarettesimagesinstagramsocial mediavapevaping

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Area of Science:

  • Public Health
  • Social Media Analysis
  • Digital Marketing

Background:

  • Adolescent e-cigarette use is rising, fueled by social media marketing that falsely promotes vaping as safe.
  • The Food and Drug Administration (FDA) launched "The Real Cost" campaign in September 2018 to counter youth vaping.
  • Understanding the impact of public health campaigns on social media requires advanced analytical methods.

Purpose of the Study:

  • To assess the impact of the FDA's "The Real Cost" campaign on vaping-related content on Instagram.
  • To analyze changes in engagement metrics and content themes on Instagram before and after the campaign launch.
  • To investigate the prevalence of specific e-cigarette devices, like nicotine pods, in social media imagery.

Main Methods:

  • Collected 245,894 Instagram posts using vaping-related hashtags from 2017-2019.
  • Employed deep learning for image classification (men, women, devices) and text analysis (topic modeling) on 49,655 images.
  • Compared engagement metrics (likes) and content themes pre- and post-FDA campaign intervention.

Main Results:

  • Despite the FDA campaign, vaping-related hashtags were used up to 10,000 times more frequently than the FDA's campaign hashtag.
  • Median likes on vaping posts increased threefold (10 to 28), and posts with over 100 likes increased sixfold (2% to 15%) post-campaign.
  • Over 70% of images featured e-juices and devices, with a notable increase in 'pod' depictions, favored by novice users; underage followers were identified.

Conclusions:

  • The FDA's "The Real Cost" campaign had a limited apparent impact on reducing engagement with vaping content on Instagram.
  • E-cigarette content on Instagram, particularly images of nicotine pods, remains highly prevalent and engaging for users, including minors.
  • Continued monitoring and innovative strategies are needed to address youth vaping influenced by social media trends.