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We know data tells us a lot. We write programs to automate data scraping. We spend hours creating data visualizations that help readers see what they need to see. We use data to make claims and generate stories that are reliable and have impact. Data is important and we seem to be surrounded by it. But that's not quite true. Sometimes, there is no data? A session at NICAR that really resonated with me was Data from Scratch:...
Some of the "How might we…" questions at the NICAR14 designing new tools for social network analysis journalism session in Baltimore Sunday morning. This year's CAR conference has had many discussions about organizing data and surfacing stories, whether it’s through crowdsourcing personal stories in Al Jazeera’s “Uganda Speaks” project or by analyzing 80,000 censored Weibo posts in ProPublica’s “China’s Memory Hole.” Social network analysis, which is the analysis of the connections linking people, businesses and...
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