“Pandemics in the Age of Twitter:
Content Analysis of Tweets during the 2009 H1N1 Outbreak” Analysis
APA Citation
- Cynthia Chew and Gunther Eysenbach, “Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak,” PLoS ONE 5, no. 11 (November 29, 2010): e14118.
Purpose:
The goals of this study was to use “infoveillance” to 1) monitor the use and adoption of the terms “H1N1” versus “swine flu”; 2) complete an analysis of tweets during the H1N1 outbreak; 3) validate Twitter as “a real-time content, sentiment, and public attention trend-tracking tool”.
Methods:
The researchers used, Infovigil, a program that continually gathers information from Twitter and stores relevant data in a database. Tweets were gathered from May 1, 2009 to December 31, 2009 using the keywords and hashtags: “swine flu”, “swineflu” and “H1N1”. After Twitter data was collected, it was all coded and statistically analyzed.
Main Findings:
This study found that between May 1 and December 31st, 2009 found a significant increase in the number of tweets using the World Health Organization (WHO) recommended H1N1 terminology to replace “swine flu”. Also, coding data into six content categories allowed for the analysis of specific attitudes, feelings and experiences expressed using Twitter throughout the H1N1 outbreak. The study found an increase in tweets sharing resources and personal experiences, but the amount of jokes, humor, frustration, downplayed risk and personal opinions/interest decreased over the time of the study. Specific news/events caused significant peaks in Twitter activity including: 1) WHO’s Pandemic Level 6 announcement; 2) vaccination experiences upon the arrival of vaccines; and 3) news story of an actor from “Harry Potter” having H1N1.
Analysis:
I really enjoyed this article because it emphasizes the significance and importance of use of Twitter and other social networking sites as being a place people turn to for all kinds of information, especially health related news and information. This study provided an abundance of helpful information about how to use Twitter to gather data on a specific topic, how to code the data and effective methods of statistically analyzing the data. For my TECH 621 course project and maybe even my thesis project, I am hoping to look at emergency preparedness and management uses within social network sites (SNS).
Some limitations of this article relate to demographics and the reach of SNS. Specifically, 69% of Twitter users are Caucasian and 58% make over $60K a year, which implies that the majority of the content analyzed is coming from wealthy, Caucasians and isn’t representative of minority groups and individuals of lower SES. Also, there was no existing validated sampling method for Twitter, prior to this study, so researchers had to improvise.
Overall, I loved this article and enjoyed learning about how Tweets can be analyzed to find information about beliefs, behaviors and attitudes in real-time about pandemic H1N1.