Figshare · 2016 · 23 citations · 33 references
Social SciencesPolitical CommunicationPolitical ScienceMedia StudiesSocial Media AnalyticsSocial MovementsActivismEvent DetectionProtest PoliticsSocial MediaGeotagged Data AnalysisMedia AttentionSocial Media GeographiesSocial Media Reporting
<div><p>Recent years have witnessed waves of protests sweeping across countries and continents, in some cases resulting in political and governmental change. Much media attention has been focused on the increasing usage of social media to coordinate and provide instantly available reports on these protests. Here, we investigate whether it is possible to identify protest outbreaks through quantitative analysis of activity on the photo sharing site <i>Flickr</i>. We analyse 25 million photos uploaded to <i>Flickr</i> in 2013 across 244 countries and regions, and determine for each week in each country and region what proportion of the photographs are tagged with the word “protest” in 34 different languages. We find that higher proportions of “protest”-tagged photographs in a given country and region in a given week correspond to greater numbers of reports of protests in that country and region and week in the newspaper <i>The Guardian</i>. Our findings underline the potential value of photographs uploaded to the Internet as a source of global, cheap and rapidly available measurements of human behaviour in the real world.</p></div>
33
Twitter mood predicts the stock market
Johan Bollen, Huina Mao, Xiao‐Jun Zeng · Journal of Computational Science · 2011 · 5.1K citations · Full text
Detecting influenza epidemics using search engine query data
Jeremy Ginsberg, Matthew H. Mohebbi, Rajan Patel et al. · Nature · 2008 · 4.4K citations · Full text
Veterinary Medicine, Health Informatics, Infectious Diseases +14
David Lazer, Alex Pentland, Lada A. Adamic et al. · Science · 2009 · 3.3K citations · Full text
The Parable of Google Flu: Traps in Big Data Analysis
David Lazer, Ryan Kennedy, Gary King et al. · Science · 2014 · 2.5K citations · Full text
Predicting the Present with Google Trends
Hyunyoung Choi, Hal R. Varian · Economic Record · 2012 · 2.3K citations