Zika-Virus Related Photo-Sharing on Pinterest and Instagram

Isaac Chun-Hai Fung; Elizabeth B. Blankenship; Mary Elizabeth Goff; Lindsay A. Mullican; Kwun Cheung Chan; Nitin Saroha; Carmen H. Duke; Marina E. Ermeeva; King-Wa Fu; Zion Tsz Ho Tse; Marina Eremeeva

Zika-Virus Related Photo-Sharing on Pinterest and Instagram

Isaac Chun-Hai Fung, Elizabeth B. Blankenship, Mary Elizabeth Goff, Lindsay A. Mullican, Kwun Cheung Chan, Nitin Saroha, Carmen H. Duke, Marina E. Ermeeva, King-Wa Fu, Zion Tsz Ho Tse, Marina Eremeeva

Biostatistics, Epidemiology, & Environmental Health Sciences

Research output: Contribution to conference › Presentation

Abstract

Communicating accurate, accessible and actionable information to diverse populations is a key component of emergency responses against the Zika virus outbreak. Public health agencies are engaging the public using fast-growing photo-sharing social media sites such as Pinterest and Instagram. In this cross-sectional study, 616 Pinterest photos (keyword: “zika” AND “virus”; the maximum number of photos that we were able to retrieve via web scraping) and 616 Instagram photos (#zikavirus; randomly selected from 9370 Instagram photos retrieved via Instagram Application Programming Interface) were retrieved on April 3, 2016. Two trained individuals manually coded photos based on their relevance to Zika virus, words embedded, language and their content categories (any category that applies). Among our samples, 47% (290/616) of Pinterest photos and 23% (144/616) of Instagram photos were relevant to Zika virus. Words were embedded in 57% (164/290) of relevant Pinterest photos and 100% (144/144) of relevant Instagram photos. Among the photos with embedded words, more Instagram photos were in Spanish and Portuguese (77/144, 53%) than Pinterest (14/164, 9%) (P

Original language	American English
State	Published - Nov 15 2016
Event	American Society for Tropical Medicine and Hygiene Annual Meeting (ASTMH) - Duration: Nov 15 2016 → …

Conference

Conference	American Society for Tropical Medicine and Hygiene Annual Meeting (ASTMH)
Period	11/15/16 → …

Keywords

Instagram
Photo-Sharing
Pinterest
Viruses
Zika

DC Disciplines

Environmental Health
Environmental Health and Protection
Environmental Public Health
Public Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

http://www.abstractsonline.com/pp8/#!/4114/presentation/3917

Cite this

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title = "Zika-Virus Related Photo-Sharing on Pinterest and Instagram",

abstract = " Communicating accurate, accessible and actionable information to diverse populations is a key component of emergency responses against the Zika virus outbreak. Public health agencies are engaging the public using fast-growing photo-sharing social media sites such as Pinterest and Instagram. In this cross-sectional study, 616 Pinterest photos (keyword: “zika” AND “virus”; the maximum number of photos that we were able to retrieve via web scraping) and 616 Instagram photos (#zikavirus; randomly selected from 9370 Instagram photos retrieved via Instagram Application Programming Interface) were retrieved on April 3, 2016. Two trained individuals manually coded photos based on their relevance to Zika virus, words embedded, language and their content categories (any category that applies). Among our samples, 47% (290/616) of Pinterest photos and 23% (144/616) of Instagram photos were relevant to Zika virus. Words were embedded in 57% (164/290) of relevant Pinterest photos and 100% (144/144) of relevant Instagram photos. Among the photos with embedded words, more Instagram photos were in Spanish and Portuguese (77/144, 53%) than Pinterest (14/164, 9%) (P",

keywords = "Instagram, Photo-Sharing, Pinterest, Viruses, Zika",

author = "Fung, {Isaac Chun-Hai} and Blankenship, {Elizabeth B.} and Goff, {Mary Elizabeth} and Mullican, {Lindsay A.} and Chan, {Kwun Cheung} and Nitin Saroha and Duke, {Carmen H.} and Ermeeva, {Marina E.} and King-Wa Fu and Tse, {Zion Tsz Ho} and Marina Eremeeva",

year = "2016",

month = nov,

day = "15",

language = "American English",

note = "American Society for Tropical Medicine and Hygiene Annual Meeting (ASTMH) ; Conference date: 15-11-2016",

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TY - CONF

T1 - Zika-Virus Related Photo-Sharing on Pinterest and Instagram

AU - Fung, Isaac Chun-Hai

AU - Blankenship, Elizabeth B.

AU - Goff, Mary Elizabeth

AU - Mullican, Lindsay A.

AU - Chan, Kwun Cheung

AU - Saroha, Nitin

AU - Duke, Carmen H.

AU - Ermeeva, Marina E.

AU - Fu, King-Wa

AU - Tse, Zion Tsz Ho

AU - Eremeeva, Marina

PY - 2016/11/15

Y1 - 2016/11/15

N2 - Communicating accurate, accessible and actionable information to diverse populations is a key component of emergency responses against the Zika virus outbreak. Public health agencies are engaging the public using fast-growing photo-sharing social media sites such as Pinterest and Instagram. In this cross-sectional study, 616 Pinterest photos (keyword: “zika” AND “virus”; the maximum number of photos that we were able to retrieve via web scraping) and 616 Instagram photos (#zikavirus; randomly selected from 9370 Instagram photos retrieved via Instagram Application Programming Interface) were retrieved on April 3, 2016. Two trained individuals manually coded photos based on their relevance to Zika virus, words embedded, language and their content categories (any category that applies). Among our samples, 47% (290/616) of Pinterest photos and 23% (144/616) of Instagram photos were relevant to Zika virus. Words were embedded in 57% (164/290) of relevant Pinterest photos and 100% (144/144) of relevant Instagram photos. Among the photos with embedded words, more Instagram photos were in Spanish and Portuguese (77/144, 53%) than Pinterest (14/164, 9%) (P

AB - Communicating accurate, accessible and actionable information to diverse populations is a key component of emergency responses against the Zika virus outbreak. Public health agencies are engaging the public using fast-growing photo-sharing social media sites such as Pinterest and Instagram. In this cross-sectional study, 616 Pinterest photos (keyword: “zika” AND “virus”; the maximum number of photos that we were able to retrieve via web scraping) and 616 Instagram photos (#zikavirus; randomly selected from 9370 Instagram photos retrieved via Instagram Application Programming Interface) were retrieved on April 3, 2016. Two trained individuals manually coded photos based on their relevance to Zika virus, words embedded, language and their content categories (any category that applies). Among our samples, 47% (290/616) of Pinterest photos and 23% (144/616) of Instagram photos were relevant to Zika virus. Words were embedded in 57% (164/290) of relevant Pinterest photos and 100% (144/144) of relevant Instagram photos. Among the photos with embedded words, more Instagram photos were in Spanish and Portuguese (77/144, 53%) than Pinterest (14/164, 9%) (P

KW - Instagram

KW - Photo-Sharing

KW - Pinterest

KW - Viruses

KW - Zika

UR - https://digitalcommons.georgiasouthern.edu/environ-health-facpres/11

UR - http://www.abstractsonline.com/pp8/#!/4114/presentation/3917

M3 - Presentation

T2 - American Society for Tropical Medicine and Hygiene Annual Meeting (ASTMH)

Y2 - 15 November 2016

ER -

Zika-Virus Related Photo-Sharing on Pinterest and Instagram

Abstract

Conference

Keywords

DC Disciplines

UN SDGs

Access to Document

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Cite this