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E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter

BACKGROUND: As the use of electronic cigarettes (e-cigarettes) rises, social media likely influences public awareness and perception of this emerging tobacco product. OBJECTIVE: This study examined the public conversation on Twitter to determine overarching themes and insights for trending topics fr...

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Autores principales: Lazard, Allison J, Saffer, Adam J, Wilcox, Gary B, Chung, Arnold DongWoo, Mackert, Michael S, Bernhardt, Jay M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187450/
https://www.ncbi.nlm.nih.gov/pubmed/27956376
http://dx.doi.org/10.2196/publichealth.6551
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author Lazard, Allison J
Saffer, Adam J
Wilcox, Gary B
Chung, Arnold DongWoo
Mackert, Michael S
Bernhardt, Jay M
author_facet Lazard, Allison J
Saffer, Adam J
Wilcox, Gary B
Chung, Arnold DongWoo
Mackert, Michael S
Bernhardt, Jay M
author_sort Lazard, Allison J
collection PubMed
description BACKGROUND: As the use of electronic cigarettes (e-cigarettes) rises, social media likely influences public awareness and perception of this emerging tobacco product. OBJECTIVE: This study examined the public conversation on Twitter to determine overarching themes and insights for trending topics from commercial and consumer users. METHODS: Text mining uncovered key patterns and important topics for e-cigarettes on Twitter. SAS Text Miner 12.1 software (SAS Institute Inc) was used for descriptive text mining to reveal the primary topics from tweets collected from March 24, 2015, to July 3, 2015, using a Python script in conjunction with Twitter’s streaming application programming interface. A total of 18 keywords related to e-cigarettes were used and resulted in a total of 872,544 tweets that were sorted into overarching themes through a text topic node for tweets (126,127) and retweets (114,451) that represented more than 1% of the conversation. RESULTS: While some of the final themes were marketing-focused, many topics represented diverse proponent and user conversations that included discussion of policies, personal experiences, and the differentiation of e-cigarettes from traditional tobacco, often by pointing to the lack of evidence for the harm or risks of e-cigarettes or taking the position that e-cigarettes should be promoted as smoking cessation devices. CONCLUSIONS: These findings reveal that unique, large-scale public conversations are occurring on Twitter alongside e-cigarette advertising and promotion. Proponents and users are turning to social media to share knowledge, experience, and questions about e-cigarette use. Future research should focus on these unique conversations to understand how they influence attitudes towards and use of e-cigarettes.
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spelling pubmed-51874502017-01-05 E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter Lazard, Allison J Saffer, Adam J Wilcox, Gary B Chung, Arnold DongWoo Mackert, Michael S Bernhardt, Jay M JMIR Public Health Surveill Original Paper BACKGROUND: As the use of electronic cigarettes (e-cigarettes) rises, social media likely influences public awareness and perception of this emerging tobacco product. OBJECTIVE: This study examined the public conversation on Twitter to determine overarching themes and insights for trending topics from commercial and consumer users. METHODS: Text mining uncovered key patterns and important topics for e-cigarettes on Twitter. SAS Text Miner 12.1 software (SAS Institute Inc) was used for descriptive text mining to reveal the primary topics from tweets collected from March 24, 2015, to July 3, 2015, using a Python script in conjunction with Twitter’s streaming application programming interface. A total of 18 keywords related to e-cigarettes were used and resulted in a total of 872,544 tweets that were sorted into overarching themes through a text topic node for tweets (126,127) and retweets (114,451) that represented more than 1% of the conversation. RESULTS: While some of the final themes were marketing-focused, many topics represented diverse proponent and user conversations that included discussion of policies, personal experiences, and the differentiation of e-cigarettes from traditional tobacco, often by pointing to the lack of evidence for the harm or risks of e-cigarettes or taking the position that e-cigarettes should be promoted as smoking cessation devices. CONCLUSIONS: These findings reveal that unique, large-scale public conversations are occurring on Twitter alongside e-cigarette advertising and promotion. Proponents and users are turning to social media to share knowledge, experience, and questions about e-cigarette use. Future research should focus on these unique conversations to understand how they influence attitudes towards and use of e-cigarettes. JMIR Publications 2016-12-12 /pmc/articles/PMC5187450/ /pubmed/27956376 http://dx.doi.org/10.2196/publichealth.6551 Text en ©Allison J Lazard, Adam J Saffer, Gary B Wilcox, Arnold DongWoo Chung, Michael S Mackert, Jay M Bernhardt. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 12.12.2016. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Lazard, Allison J
Saffer, Adam J
Wilcox, Gary B
Chung, Arnold DongWoo
Mackert, Michael S
Bernhardt, Jay M
E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter
title E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter
title_full E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter
title_fullStr E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter
title_full_unstemmed E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter
title_short E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter
title_sort e-cigarette social media messages: a text mining analysis of marketing and consumer conversations on twitter
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187450/
https://www.ncbi.nlm.nih.gov/pubmed/27956376
http://dx.doi.org/10.2196/publichealth.6551
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