AI News, Using social media big data to combat prescription drug crisis

Using social media big data to combat prescription drug crisis

Lead author, Sunny Jung Kim, PhD, an e-health communication scholar in the departments of biomedical data science and psychiatry at Dartmouth's Geisel School of Medicine, says that because we are prolific consumers of social media, which is not limited to geography -- globally, people spend more than two hours every day on social media platforms generating vast amounts of big data about our personal communications and activities -- we can use these platforms to enhance public health communication strategies to help people on a large scale.

'Harnessing social media platforms and data can provide insight into important novel discoveries of collective public health risk behavior, a better understanding of peoples' struggles with addiction, and their process of recovery,' Kim says.

Social Data Around the #TrumpKimSummit Reveals How the Internet Felt About the Meeting

There aren’t as many people talking about quitting as there are talking about being addicted.

You might expect the percentage of people talking about being addicted to a social media platform and the percentage of those talking about quitting that same platform would be similar, but you’d be wrong.

Sure, according to our data Twitter is the most commonly addictive form of social media and it also has the highest number of quitters, but the addict:quitter ratio for most of these different social networks are disproportionate.  We found that around 13% of people talking about social media addiction were talking about Instagram but only 5% of the quitting conversation referred to that social network.

im quitting youtube because everyone hates my hair hope youre happy bye forever —

Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data.

Substance use-related communication for drug use promotion and its prevention is widely prevalent on social media.

Social media big data involve naturally occurring communication phenomena that are observable through social media platforms, which can be used in computational or scalable solutions to generate data-driven inferences.

Despite the promising potential to utilize social media big data to monitor and treat substance use problems, the characteristics, mechanisms, and outcomes of substance use-related communications on social media are largely unknown.

Understanding these aspects can help researchers effectively leverage social media big data and platforms for observation and health communication outreach for people with substance use problems.

We also examined ethical considerations in the research processes of (1) social media big data mining, (2) subgroup or follow-up investigation, and (3) dissemination of social media data-driven findings.

The psychological or behavioral consequence (eg, increased behavioral intention for mimicking risky health behaviors) of engaging with and being exposed to social media communications regarding problematic drug use was another area of research that has been understudied.

Social Media Use in 2018

A new Pew Research Center survey of U.S. adults finds that the social media landscape in early 2018 is defined by a mix of long-standing trends and newly emerging narratives.

The video-sharing site YouTube – which contains many social elements, even if it is not a traditional social media platform – is now used by nearly three-quarters of U.S. adults and 94% of 18- to 24-year-olds.

For example, the share of social media users who say these platforms would be hard to give up has increased by 12 percentage points compared with a survey conducted in early 2014.

But by the same token, a majority of users (59%) say it would not be hard to stop using these sites, including 29% who say it would not be hard at all to give up social media.

In addition to the age-related differences in the use of sites such as Instagram and Snapchat noted above, these are some of the more prominent examples: For more details on social media platform use by different demographic groups, see Appendix A.

The share of Facebook users who visit the site on a daily basis is statistically unchanged compared with 2016, when 76% of Facebook users reported they visited the site daily.

(Note: this is the first year the Center has specifically asked about the frequency of Snapchat use in a telephone poll.) In addition to adopting Snapchat and Instagram at high rates, the youngest adults also stand out in the frequency with which they use these two platforms.

The median 18- to 29-year-old uses four of these platforms, but that figure drops to three among 30- to 49-year-olds, to two among 50- to 64-year-olds and to one among those 65 and older.

Even as a majority of Americans now use social platforms of various kinds, a relatively large share of these users feel that they could give up social media without much difficulty.

Some 59% of social media users think it would not be hard to give up social media, with 29% indicating it would not be hard at all.

The Center asked an identical question in a survey conducted in January 2014, and at that time, 28% of social media users indicated they would have a hard time giving up social media, including 11% who said it would be “very hard.”

Roughly half of social media users ages 18 to 24 (51%) say it would be hard to give up social media, but just one-third of users ages 50 and older feel similarly.

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