Public reactions to e-cigarette regulations on Twitter: a text mining analysis

Area of Science:

• Public Health
• Social Media Analysis
• Tobacco Control

Background:

• In May 2016, the U.S. Food and Drug Administration (FDA) classified e-cigarettes as a tobacco product, extending regulatory authority.
• Social media platforms like Twitter are crucial for disseminating news and shaping public opinion on regulatory actions.
• Initial public reactions to these new FDA regulations were analyzed to understand attitudes and perceptions.

Purpose of the Study:

• To analyze public reactions on Twitter following the FDA's deeming regulations for e-cigarettes.
• To uncover key topics and sentiments regarding the new regulations using text mining.
• To understand the initial public discourse on the potential health and market impacts of the regulations.

Main Methods:

• A descriptive text mining approach was employed using SAS Text Miner V.12.1.
• Tweets concerning FDA e-cigarette regulations were collected from May 1 to May 17, 2016, using NUVI software.
• The analysis focused on identifying primary topics within the collected social media data.

Main Results:

• Nine distinct topics emerged from the Twitter data, reflecting initial public responses.
• Key themes included debates on the public health benefits or harms of the regulations.
• Reactions predominantly expressed negative or mixed sentiments regarding the regulations and their market impact.

Conclusions:

• Public reaction on Twitter following the FDA's deeming regulations was largely negative.
• There is a need for public health advocates to utilize social media to clarify policy intentions and impacts.
• Enhanced communication strategies are necessary to foster a more balanced public conversation about e-cigarette regulations.