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2.5 Million to 5,000 Tweets: Sifting Through the Noise

One of the first projects to be housed under iHub Research’s new Data Lab is our IDRC-funded research on Developing a Framework for the Viability of Election-centered Crowdsourcing. In the first phase of this research, we’ve built a Kenya-specific spam filter that sifts through crowdsourced data from the elections to pull “newsworthy” events out of […]

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