Following e-cigarette conversations on Twitter using artificial intelligence
Machine learning methods help researchers follow social media promotions of addictive products to teenagers and young people.
The advertising of nicotine products is highly restricted, but social media allows a way for these products to be marketed to young people. What’s more, e-cigarette flavourings make them particularly appealing to teenagers and young adults. A team of researchers have developed machine learning methods to track the conversations on social media about flavoured products by one of the most popular e-cigarette brands, JUUL.
‘An increasing amount of discussions on e-cigarettes is taking place online, in particular in popular social media such as Twitter, Instagram, and Facebook. As the content related to e-cigarettes is often targeted at youth — who are also very active on many social media platforms — it is important to explore these conversations’ says Dr Aqdas Malik, Postdoctoral Researcher in the Department of Computer Science at Aalto University.
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