Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.

Twitter has become the "wild-west" of marketing and promotional strategies for advertisement agencies. Electronic cigarettes have been heavily marketed across Twitter feeds, offering discounts, "kid-friendly" flavors, algorithmically generated false testimonials, and free samples...

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Main Authors: Eric M Clark, Chris A Jones, Jake Ryland Williams, Allison N Kurti, Mitchell Craig Norotsky, Christopher M Danforth, Peter Sheridan Dodds
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4943591?pdf=render
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spelling doaj-a10def0e1a0e4f3e8d22bf977c2b09dc2020-11-25T01:30:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01117e015730410.1371/journal.pone.0157304Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.Eric M ClarkChris A JonesJake Ryland WilliamsAllison N KurtiMitchell Craig NorotskyChristopher M DanforthPeter Sheridan DoddsTwitter has become the "wild-west" of marketing and promotional strategies for advertisement agencies. Electronic cigarettes have been heavily marketed across Twitter feeds, offering discounts, "kid-friendly" flavors, algorithmically generated false testimonials, and free samples.All electronic cigarette keyword related tweets from a 10% sample of Twitter spanning January 2012 through December 2014 (approximately 850,000 total tweets) were identified and categorized as Automated or Organic by combining a keyword classification and a machine trained Human Detection algorithm. A sentiment analysis using Hedonometrics was performed on Organic tweets to quantify the change in consumer sentiments over time. Commercialized tweets were topically categorized with key phrasal pattern matching.The overwhelming majority (80%) of tweets were classified as automated or promotional in nature. The majority of these tweets were coded as commercialized (83.65% in 2013), up to 33% of which offered discounts or free samples and appeared on over a billion twitter feeds as impressions. The positivity of Organic (human) classified tweets has decreased over time (5.84 in 2013 to 5.77 in 2014) due to a relative increase in the negative words 'ban', 'tobacco', 'doesn't', 'drug', 'against', 'poison', 'tax' and a relative decrease in the positive words like 'haha', 'good', 'cool'. Automated tweets are more positive than organic (6.17 versus 5.84) due to a relative increase in the marketing words like 'best', 'win', 'buy', 'sale', 'health', 'discount' and a relative decrease in negative words like 'bad', 'hate', 'stupid', 'don't'.Due to the youth presence on Twitter and the clinical uncertainty of the long term health complications of electronic cigarette consumption, the protection of public health warrants scrutiny and potential regulation of social media marketing.http://europepmc.org/articles/PMC4943591?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Eric M Clark
Chris A Jones
Jake Ryland Williams
Allison N Kurti
Mitchell Craig Norotsky
Christopher M Danforth
Peter Sheridan Dodds
spellingShingle Eric M Clark
Chris A Jones
Jake Ryland Williams
Allison N Kurti
Mitchell Craig Norotsky
Christopher M Danforth
Peter Sheridan Dodds
Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
PLoS ONE
author_facet Eric M Clark
Chris A Jones
Jake Ryland Williams
Allison N Kurti
Mitchell Craig Norotsky
Christopher M Danforth
Peter Sheridan Dodds
author_sort Eric M Clark
title Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
title_short Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
title_full Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
title_fullStr Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
title_full_unstemmed Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter.
title_sort vaporous marketing: uncovering pervasive electronic cigarette advertisements on twitter.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description Twitter has become the "wild-west" of marketing and promotional strategies for advertisement agencies. Electronic cigarettes have been heavily marketed across Twitter feeds, offering discounts, "kid-friendly" flavors, algorithmically generated false testimonials, and free samples.All electronic cigarette keyword related tweets from a 10% sample of Twitter spanning January 2012 through December 2014 (approximately 850,000 total tweets) were identified and categorized as Automated or Organic by combining a keyword classification and a machine trained Human Detection algorithm. A sentiment analysis using Hedonometrics was performed on Organic tweets to quantify the change in consumer sentiments over time. Commercialized tweets were topically categorized with key phrasal pattern matching.The overwhelming majority (80%) of tweets were classified as automated or promotional in nature. The majority of these tweets were coded as commercialized (83.65% in 2013), up to 33% of which offered discounts or free samples and appeared on over a billion twitter feeds as impressions. The positivity of Organic (human) classified tweets has decreased over time (5.84 in 2013 to 5.77 in 2014) due to a relative increase in the negative words 'ban', 'tobacco', 'doesn't', 'drug', 'against', 'poison', 'tax' and a relative decrease in the positive words like 'haha', 'good', 'cool'. Automated tweets are more positive than organic (6.17 versus 5.84) due to a relative increase in the marketing words like 'best', 'win', 'buy', 'sale', 'health', 'discount' and a relative decrease in negative words like 'bad', 'hate', 'stupid', 'don't'.Due to the youth presence on Twitter and the clinical uncertainty of the long term health complications of electronic cigarette consumption, the protection of public health warrants scrutiny and potential regulation of social media marketing.
url http://europepmc.org/articles/PMC4943591?pdf=render
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