20
Chris Orwa @blackorwa

ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Embed Size (px)

DESCRIPTION

Developing methodology for building smart filters for election based crowdsourcing utilizing machine learning,

Citation preview

Page 1: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Chris Orwa@blackorwa

Page 2: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Building Smart Filters for Election Crowdsourcing

www.ihub.co.ke/research@ihubresearch

Page 3: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 4: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 5: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Image courtesy of jtoy.net

Page 6: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 7: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

CASE STUDY:Assessing the Viability of Crowdsourcing

During Elections in Kenya March 2013

Page 8: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 9: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Machine Learning

Page 10: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 11: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Methodology

• Broad keyword filters• Sampling the data• Annotating tweets• Build a classifier• Iterate the process to improve

accuracy

Page 12: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 13: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 14: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 15: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Advantages• Obtain unique incidence during an

election• Enable comparative analysis• Imperative to first responders• Solves the problem of information

overload

Page 16: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 17: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

Information Dense Environments

Page 18: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 19: ICCM 2013 : Building Smart Filters for Election Crowdsourcing
Page 20: ICCM 2013 : Building Smart Filters for Election Crowdsourcing

www.ihub.co.ke/research@ihubresearch

[email protected]

Digital humanitarianism now has additional information in its knowledge vault