Harnessing the Crowdsourcing Power of Social Media ...
This 2011 article focuses on crowdsourcing funding through social media in the event of disaster relief. Social media is increasingly playing a critical role in natural disasters as an information propagator that can be leveraged for disaster relief.
Crowd-Sourced Sensing and Collaboration Using Twit ...
This 2010 article focuses on crowd sourced information and particularly the use of sensing and collaboration applications for crowdsourcing on Twitter.
What every jihadi in Syria needs: hair gel, an iPa ...
This short news article in The Daily Telegraph discusses European and North American jihadis’ use of Twitter and social media in Syria.
New Terrorism and New Media
This short 2014 article discusses the turn to social media by Al Qaeda and other terrorist organizations, and particularly their presence on YouTube, Twitter, Facebook, Instagram, and other social media sites.
National Security and Social Media Monitoring: A P ...
This 2013 article focuses on Natural Language Processing (NLP) and particularly social media monitoring of Twitter for purposes of national security.
Automatic Crime Prediction Using Events Extracted ...
This 2012 article focuses on predictive analytics and in particular crime prediction using events and data extracted from Twitter posts. The authors present a preliminary investigation of Twitter-based criminal incident prediction.
Vox Digitas
This 2014 eBook by some of the field’s leading authors provides a foundational background into social media research and analytics.
ESOMAR Guideline on Social Media Research
This document aims to provide guidance for the use of social media in market, social and opinion research.
Mapping Networks of Influence: Tracking Twitter Co ...
This article attempts to understand how networks of influence are formed among Twitter users, and the relative influence of global news media organizations and information providers in the Twittersphere during such global news events.
Demographics of Key Social Networking Platforms
This brief report is based on a September 2014 survey and includes statistical data on users of social media and networking platforms, comparing the years 2013 and 2014 for the differences in gender, age, race, education, wage, and demographic location (i.e. rural, suburban, urban).
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