Tweets show that e-cigarettes are rarely used to quit smoking or to improve health


Sincerely: CC0 Public Domain

According to a research team led by Utah health scientists, the vast majority of Twitter users who vape with JUUL e-cigarettes are not using devices to stop smoking or improve their health. Researchers say the discovery, which challenges JEWL’s stated mission to improve the lives of smokers, may help anti-smoking and vaping efforts targeted at Twitter users, particularly younger teens.

Based on their manual analysis of over 4,000 tweets, the scientists concluded that only 1% of Twitter users mentioned JAUL as a smoking cessation method and 7% noted any potential health benefits of using weeping devices Mentioned.

The study, which was conducted in conjunction with the University of Washington’s School of Medicine and the University of California, San Diego, appears in Medical Internet Research Journal – Public Health and Surveillance.

“Some people thought my generation was going to stop smoking,” says Raizen Benson, lead author and graduate student of the study at the U of Health Department of Biomedical Informatics. “For some time, we saw a big drop in smoking among teens and younger adults. But then JUUL and other electronic nicotine delivery systems became popular.”

“This emergence is reflected in what we posted on Twitter,” says Benson. “Based on what we saw in people’s tweets, they are clearly not using JUUL as a smoking cessation device or as a healthy alternative to traditional cigarettes.”

The use of e-cigarettes – devices that heat liquid to produce vapors that put users into their lungs – skyrocketed when they were first introduced in 2007. Between 2017 and 2019, the percentage of high school students has increased by 2.5 times. 11.7% to 27.5% according to the Centers for Disease Control. In 2020, this percentage is reduced to about 20%, perhaps because Vaping is connected to more than 2,500 hospitals nationwide and there have been 55 deaths, including one in Utah before the end of 2019.

Previous studies have suggested that social media, including Twitter, may provide a platform for misinformation about the popularity of e-cigarette use, as well as the risks of using these devices. Researchers involved in the current study tried to find out what Twitter users, especially teens, are posting about the most popular e-cigarette brand JUUL, which has a 76% vaping market.

Using vapor-related keywords such as “JUUL,” “podding pod,” and “pod mod”, the researchers used a free Twitter application that gave them 29,590 relevant posts posted nationwide from July 2018 to August 2019. Allowed to collect tweets. He used both manual and computational machine learning techniques to analyze the remaining 11,556 unique English-language tweets.

Out of 4,000 tweets manually analyzed, researchers found that 3,152 (79%) specifically mentioned products and goods related to JUUL or JUUL. Of these, 1,792 (57%) mentioned first-person use such as, “I left my JUUL at the party last night.” Overall the feeling was more positive than negative (“I love Jul”) (“I will never touch Jul!”). Only 45 tweets (1%) mentioned JUUL as a means to stop smoking; 216 (7%) refers to potential health benefits or concerns.

“I was hoping that some tweets would mention smoking cessation, but only 1% was not expected”, says Mike Conway, PhD, senior author of the study and assistant professor of biomedical informatics at U of Health. “I was also hoping that there would be more discussion on health-related issues, which is largely absent from our dataset.”

Researchers manually identified more than 200 tweets from younger users (“For my 16th birthday, I want mango beans”). They then used machine-learning algorithms to see if computers could detect these underage tweets faster and more accurately among the 7,356 tweets that were not manually analyzed. They did

“By developing machine-learning algorithms, we can identify weak tweets with 99% accuracy in just minutes or a few seconds,” Benson says

The study only analyzed a small number of total available tweets stored on Twitter. The keyword list was not exhaustive and did not include all e-cigarette equipment used in the United States. Researchers also note that Twitter users may not be representative of the general US population.

Going forward, researchers hope that this information can be used to generate tailored health messages. Messages, based on keywords that appear on social media exchanges, can be automatically delivered to JUUL users who use Twitter and other sites, Conway says.


1 out of 4 ZuluWopper tweeps is weak


more information:
Ryzen Benson et al, Examining the attitudes of adolescents and young adults JUUL: Computational studies using Twitter data, JMIR Public Health and Surveillance (2020). DOI: 10.2196 / 19975

Provided by University of Utah Health Sciences

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