Nieman Foundation at Harvard
Holding algorithms (and the people behind them) accountable is still tricky, but doable
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Stories on Reporting & Production

“We were able to demystify this black box, this algorithm that had very scary connotations, and break it down into what ended up being a very simple linear model.”
What is the state of philanthropy in India? Why are girls dropping out from certain schools at higher rates? How India Lives looks for the answers to these types of questions other organizations have, in publicly available data.
“We have to remember, as media, we are gatekeepers to people’s understanding of the modern world.”
“We want to find people who recognize the potential of the audience, and are looking to capitalize on this potential and pull together a learning group to try some things and see what emerges.”
“It is a product for people of good will — which I know sounds ridiculously naive, but so far it’s working quite well.”
“If we can cultivate this community of conscientious, civically engaged people, we know they’re also looking for ways to take action.”
With Lynx Insights, Reuters wants to marry the data-crunching skills of machines with the editorial judgment of human reporters.