Columbia University | Nieman Journalism Lab

Articles tagged Columbia University (20)

Danielle K. BrownMay 6, 2024

Media coverage of campus protests tends to focus on the spectacle rather than the substance

“There are commercial reasons why some newsrooms focus on the spectacle and confrontation — the old journalism adage of ‘if it bleeds, it leads’ still prevails in many newsroom decisions…But it is a decision that delegitimizes protest aims.”

Sarah ScireJune 3, 2020

VizPol takes a cue from bird-watching apps to help journalists identify unfamiliar political symbols

Built by researchers at Columbia University’s journalism and engineering schools and launched as an invite-only beta this week, VizPol can currently recognize 52 symbols.

A new report offers a primer (and a reality check) on the news membership model

Shan WangFebruary 2, 2018

Here’s how Arc’s cautious quest to become the go-to publishing system for news organizations is going

“The amount of effort we’d have to invest into doing these things is completely outweighed by effort it would take for us to just do it with Arc.”

“No cookie-cutter model”: How local news organizations are surviving today and preparing for the future

Shan WangJuly 11, 2017

The freedom-of-speech institute suing @realDonaldTrump to unblock his critics on Twitter has its eye on other lawsuits, too

“Part of the reason we took this case on is that we have seen reports from across the country of public officials blocking their constituents on Twitter or Facebook.”

Shan WangNovember 3, 2016

As opinions shift, a new wave of cannabis-focused sites hopes more advertisers will loosen their pockets

There’s money in marijuana, but is there money in marijuana coverage? (Yes, yes there is.)

Knight and Columbia launch a $60M effort to advance freedom of expression in the digital age

News got you down? Solutions-oriented journalism might be one way to re-engage local communities

Shan WangMarch 25, 2016

Think you’re bad at math? A new Tow Center report explores the principles behind data journalism

“The future is very hard to know, but standards of journalistic accuracy apply to descriptions of the future at least as much as they apply to descriptions of the present, if not more so.”

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