We analyzed 6,400 New York Times stories to find out how comments change when you give readers more information

Nieman Lab reports on a study analyzing nearly a million comments on over sixty-four hundred New York Times stories published between twenty fourteen and twenty twenty-two. Researchers found that stories combining data, statistics, and analytical writing sparked more thoughtful, evidence-based comments—but from fewer people overall. Readers on these data-heavy pieces engaged with each other more, building reasoned arguments rather than just reacting emotionally. Yet as comment sections grew more rigorous, they also became more exclusive, attracting what researchers call a 'data elite' willing to engage with complex material while broader audiences opted out. For newsrooms reopening comment sections, the payoff of a more loyal, analytically engaged readership may justify the substantial cost of deep reporting—though that benefit won't spread evenly across all coverage.

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