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Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter
OBJECTIVE: This study explores the presence and actions of an electronic cigarette (e-cigarette) brand, Blu, on Twitter to observe how marketing messages are sent and diffused through the retweet (i.e., message forwarding) functionality. Retweet networks enable messages to reach additional Twitter u...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694088/ https://www.ncbi.nlm.nih.gov/pubmed/26684746 http://dx.doi.org/10.1371/journal.pone.0145387 |
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author | Chu, Kar-Hai Unger, Jennifer B. Allem, Jon-Patrick Pattarroyo, Monica Soto, Daniel Cruz, Tess Boley Yang, Haodong Jiang, Ling Yang, Christopher C. |
author_facet | Chu, Kar-Hai Unger, Jennifer B. Allem, Jon-Patrick Pattarroyo, Monica Soto, Daniel Cruz, Tess Boley Yang, Haodong Jiang, Ling Yang, Christopher C. |
author_sort | Chu, Kar-Hai |
collection | PubMed |
description | OBJECTIVE: This study explores the presence and actions of an electronic cigarette (e-cigarette) brand, Blu, on Twitter to observe how marketing messages are sent and diffused through the retweet (i.e., message forwarding) functionality. Retweet networks enable messages to reach additional Twitter users beyond the sender’s local network. We follow messages from their origin through multiple retweets to identify which messages have more reach, and the different users who are exposed. METHODS: We collected three months of publicly available data from Twitter. A combination of techniques in social network analysis and content analysis were applied to determine the various networks of users who are exposed to e-cigarette messages and how the retweet network can affect which messages spread. RESULTS: The Blu retweet network expanded during the study period. Analysis of user profiles combined with network cluster analysis showed that messages of certain topics were only circulated within a community of e-cigarette supporters, while other topics spread further, reaching more general Twitter users who may not support or use e-cigarettes. CONCLUSIONS: Retweet networks can serve as proxy filters for marketing messages, as Twitter users decide which messages they will continue to diffuse among their followers. As certain e-cigarette messages extend beyond their point of origin, the audience being exposed expands beyond the e-cigarette community. Potential implications for health education campaigns include utilizing Twitter and targeting important gatekeepers or hubs that would maximize message diffusion. |
format | Online Article Text |
id | pubmed-4694088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46940882016-01-07 Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter Chu, Kar-Hai Unger, Jennifer B. Allem, Jon-Patrick Pattarroyo, Monica Soto, Daniel Cruz, Tess Boley Yang, Haodong Jiang, Ling Yang, Christopher C. PLoS One Research Article OBJECTIVE: This study explores the presence and actions of an electronic cigarette (e-cigarette) brand, Blu, on Twitter to observe how marketing messages are sent and diffused through the retweet (i.e., message forwarding) functionality. Retweet networks enable messages to reach additional Twitter users beyond the sender’s local network. We follow messages from their origin through multiple retweets to identify which messages have more reach, and the different users who are exposed. METHODS: We collected three months of publicly available data from Twitter. A combination of techniques in social network analysis and content analysis were applied to determine the various networks of users who are exposed to e-cigarette messages and how the retweet network can affect which messages spread. RESULTS: The Blu retweet network expanded during the study period. Analysis of user profiles combined with network cluster analysis showed that messages of certain topics were only circulated within a community of e-cigarette supporters, while other topics spread further, reaching more general Twitter users who may not support or use e-cigarettes. CONCLUSIONS: Retweet networks can serve as proxy filters for marketing messages, as Twitter users decide which messages they will continue to diffuse among their followers. As certain e-cigarette messages extend beyond their point of origin, the audience being exposed expands beyond the e-cigarette community. Potential implications for health education campaigns include utilizing Twitter and targeting important gatekeepers or hubs that would maximize message diffusion. Public Library of Science 2015-12-18 /pmc/articles/PMC4694088/ /pubmed/26684746 http://dx.doi.org/10.1371/journal.pone.0145387 Text en © 2015 Chu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Chu, Kar-Hai Unger, Jennifer B. Allem, Jon-Patrick Pattarroyo, Monica Soto, Daniel Cruz, Tess Boley Yang, Haodong Jiang, Ling Yang, Christopher C. Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter |
title | Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter |
title_full | Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter |
title_fullStr | Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter |
title_full_unstemmed | Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter |
title_short | Diffusion of Messages from an Electronic Cigarette Brand to Potential Users through Twitter |
title_sort | diffusion of messages from an electronic cigarette brand to potential users through twitter |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694088/ https://www.ncbi.nlm.nih.gov/pubmed/26684746 http://dx.doi.org/10.1371/journal.pone.0145387 |
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