TECHNOLOGY
Why Social Media and AI Can Make Prevention More Effective than Tobacco Education
Fri Jan 31 2025
Let's think about the way Tobacco promotion happens these days. Its not the same as 2010 when teens would look at sports and entertainment figures on television.
Promotional tactics have shifted to platforms like Instagram and TikTok. there social media influencers are usually seen promoting e-cigarettes among other products. . But what do the Promotional tactics look like? to lure young viewers, these influencers use a sort of trickery. . By placing products alongside activities seen as good things to do, like sports and fit living, being outdoors or having fun. This use of pictures tricks our brain into convincing us that e-cigarettes are a good thing.
Use it as a key point about pervasiveness of promoting product like E-Cigarettes. A common problem influencer effects our thinking is that youth treat these ads as promotional material that they say how socially acceptable or cool these products are.
So how does AI and computer models help? . Both can be used by experts in regulatory science to monitor all the "cool" content for e-cigarettes on social media. These scary-sounding terms aka the models . work with pictures and computer algorithms. AI technology is used from a variety of places like a mass of pictures of worrying things. Governments can monitor and slow down the spread on these platforms. computer models share this data with researchers, who then detect these patterns and handle the promotion.
Researchers needs these steps to tackle e-cigarette advertising.
1. Monitor e-Cigarette Visual Marketing on Social Media.
2. Get Data
3. Analyze the Mindset of Youth Using AI
4. Then spread the Freedom Of Press On Vaccinations
This process helps to slow down the spread of E-Cigarettes advertising among the Tech-Savvy. Overtime it reduces our reliance on alternative cessation aids and helps educating the Prevent Baltimore a clear yell.
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questions
What are the potential biases in generative AI models that could influence the results of tobacco regulatory science research on social media?
If AI could embark on a funny film, how would it confront the e-cigarette trend among high school students tackling drug use?
What measures can be implemented to ensure that AI-generated insights do not inadvertently contribute to the normalization of e-cigarette use among youths?
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