Social Platforms Shape Opposition To E-Cigarette Campaigns
Researchers at NORC analyzed Twitter (2014–2020) and TikTok (2020–2023) posts tied to major US youth e-cigarette prevention campaigns, using machine learning classification and human coding to detect oppositional content. They found opposition comprised 26.8% of campaign-related Twitter posts but only 3.5% on TikTok, with Twitter opposition coordinated by advocacy/commercial accounts and TikTok opposition decentralized and humor-driven. Findings recommend platform-specific monitoring and creator partnerships.
Key Points
- 1Detects 26.8% Twitter opposition versus 3.5% on TikTok to prevention posts.
- 2Shows Twitter opposition is concentrated and amplified by advocacy and commercial account clusters.
- 3Recommends real-time monitoring on Twitter and creator partnerships plus remixable content on TikTok.
Scoring Rationale
High methodological novelty and practical recommendations, but focused on US campaigns and limited to Twitter and TikTok.
Sources
Public references used for this report.
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