Last month, iHub Research published the results of our research looking at crowdsourcing data collected during the March 2013 Kenyan elections. The research has become even more relevant against the backdrop of this weekend’s horrific incident at Westgate Mall, which looks to have been documented first on Twitter just seconds after the first gunshot via […]
iHub Research is pleased to publish the results of our research on developing a Crowdsourcing Framework for Elections. Over the past 6 months, we have been looking at a commonly held assumption that crowdsourced information (collected from citizens through online platforms such as Twitter, Facebook, and text messaging) captures more information about the on-the-ground reality […]
By: Chris Orwa As part of our Crowdsourcing Validation project, during the general Kenyan elections in March 2013, iHub Research collected over 2.5 million tweets related to the polls. We are now in the process of crunching the data to unravel the profile of tweeps highly likely to report an incident on twitter. In our […]
When can you use crowdsourced information (that is, information collected from citizens through online platforms such as Twitter, Facebook, and text messaging) to get trusted information?Are there any particular identifiable characteristics of crowdsourced info that lends to making the info more or less credible? These are some of the guiding questions to a groundbreaking research […]
Blog post by: Nanjira Sambuli Is crowdsourced information (that is, information collected from citizens through online platforms such as Twitter, Facebook, and text messaging) more representative of on-the-ground reality than traditional media reporting like television, radio and newspapers? If so, can crowdsourced information be organized and used to find and capture news as generated? How […]
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