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Articles tagged data journalism (113)

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When newsrooms, especially local ones, are strapped for engineering resources, the Berkeley students fill in a gap to help journalists complete more ambitious data projects.
“First and foremost, we respond to an undersupply of quantitative descriptive research in social science. Causal research that asks the question why has largely taken the place of descriptive research that asks the question what.”
As the pandemic has worsened an already critical situation, researchers started to live track evictions in 17 cities and launched a scorecard to compare protections for renters in each state.
After a false start, the unconventional team of algorithm investigators is ready to dive deep. “I’ve heard that we are tying our hands behind our backs, but there must be a way to engage an audience without subjecting readers to a surveillance ecosystem.”
“When we do a story looking at 18 different commuting routes, we’ve created 18 different stories, in a way — we’ve created a story with 18 distinct audiences.”
An interview with researcher C.W. Anderson: “You do have to wonder how long we can keep up before people have a nervous breakdown.”
“You feel all this knowledge would be useful for something, for trying to change something.”
“Journalists in every field need to have more skills to investigate those types of decision-making that are embedded in technology.”