1 row where orcids contains "http://orcid.org/0000-0002-1685-1753"

View and edit SQL

Suggested facets: created (date), title (array), subject (array), names (array), funder_names (array), funder_dois (array)

orcids (array)

ISSN (array)

award_numbers (array)

Link rowid ▼ title DOI URL created subject references-count is-referenced-by-count ISSN container-title abstract author_number orcids names award_numbers funder_names funder_dois
61 ["At the speed of Juul: measuring the Twitter conversation related to ENDS and Juul across space and time (2017\u20132018)"] 10.1136/tobaccocontrol-2019-055427 http://dx.doi.org/10.1136/tobaccocontrol-2019-055427 2020-03-20T21:16:55Z ["Public Health, Environmental and Occupational Health", "Health(social science)"] 0 0 ["0964-4563", "1468-3318"] Tobacco Control <jats:sec><jats:title>Background</jats:title><jats:p>Electronic nicotine delivery systems (ENDS) are the most-used tobacco product by adolescents, and Juul has rapidly become the most popular ENDS brand. Evidence indicates that Juul has been marketed heavily on social media. In light of recent lawsuits against the FDA spurred by claims that the agency responded inadequately to this marketing push, measuring the social media conversation about ENDS like Juul has important public health implications.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We employed search filters to collect Juul-related and other ENDS-related data from Twitter in 2017–2018 using Gnip Historic PowerTrack. Trained coders labelled random samples for Juul and ENDS relevance, and the labelled samples were used to train a supervised learning classifier to filter out irrelevant tweets. Tweets were geolocated into US counties and their <jats:italic>fitness for use</jats:italic> was assessed.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The amount of Juul-related tweets increased 67 times over the study period (from 18 849 in the first quarter of 2017 to 1 287 028 in the last quarter of 2018), spreading widely across US counties. By the last quarter 2018, 34% of US counties had more than 6 Juul-related posts per 10 000 people, up from 0% in the first quarter 2017. However, during the same period, the total of non-Juul ENDS-related tweets decreased by 25%.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Juul-related content grew exponentially on Twitter and spread across the entire country during the time when the brand was gaining market share. This social media buzz continued to increase even after FDA’s multiple interventions to curb promotions targeting minors.</jats:p></jats:sec> 5 ["http://orcid.org/0000-0002-1685-1753", "http://orcid.org/0000-0002-3425-9155"] ["Yoonsang Kim", "Sherry L Emery", "Lisa Vera", "Bryn David", "Jidong Huang"] ["R01CA194681-04S1"] ["National Cancer Institute"] ["10.13039/100000054"]

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE [article] (
   [title] TEXT,
   [DOI] TEXT,
   [URL] TEXT,
   [created] TEXT,
   [subject] TEXT,
   [references-count] TEXT,
   [is-referenced-by-count] TEXT,
   [ISSN] TEXT,
   [container-title] TEXT,
   [abstract] TEXT,
   [author_number] TEXT,
   [orcids] TEXT,
   [names] TEXT,
   [award_numbers] TEXT,
   [funder_names] TEXT,
   [funder_dois] TEXT
);