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DoorDash to Pay $132 Million to NYC, Workers Over Missing Wages

12 publications, in the order they reported. The story spread over 45 hours 36 minutes. Words in highlight are ones the first headline did not use. All top stories · On NewsMarkets

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Publications over time

11:16 UTC08:53 UTC12 publications
Publications in order of reporting
#Time (UTC)After the firstPublicationHeadline
1firstBloombergDoorDash to Pay $132 Million to NYC, Workers Over Missing Wages by Natalie Lung
2+1 hour 5 minutesQuartzDoorDash settled a $131.5 million NYC probe over underpaying delivery workers by Cris Tolomia
3+2 hours 15 minutesBusiness InsiderDoorDash settles New York City pay investigation for $131.5 million: 'We screwed up.' by Alex Bitter
4+6 hours 42 minutesFox NewsMamdani blasts DoorDash CEO's 'greedy algorithm,' NY slaps company with $131 million fine
5+8 hours 2 minutesThe GuardianDoorDash to pay $131.5m after underpaying New York workers by Reuters
6+8 hours 42 minutesThe HillDoorDash settles worker underpayment allegations with New York City for $131.5M by Max Rego
7+8 hours 47 minutesAl JazeeraNYC Mayor Mamdani reaches record DoorDash settlement for underpaid workers
8+10 hours 32 minutesInc.DoorDash Will Pay $131.5 Million in a Settlement. The Median Driver Payment Will Be Less Than $100 by Rachel Suleymanov
9+10 hours 36 minutesEngadgetDoorDash will pay $131.5 million for missing and miscalculated NYC delivery worker wages
10+25 hours 58 minutesTimes of IndiaDoorDash agrees to $131.5m after payment errors affected 200,000-plus NYC workers by TOI TECH DESK
11+32 hours 38 minutesHacker NewsDoorDash Spent $1.4M Trying to Stop Mamdani from Becoming Mayor. Now We Know Why
12+45 hours 36 minutesThe Japan TimesDoorDash to pay $132 million in NYC over missing wages

Who covered it, by audience

8 of 12 publications on this story have an audience score.

Publications by the political lean of their audience
Audience leans Democratic (4)Mixed audience (3)Audience leans Republican (1)

Audience lean comes from Robertson, R. E., Jiang, S., Joseph, K., Friedland, L., Lazer, D., and Wilson, C. (2018), Auditing Partisan Audience Bias within Google Search, Proceedings of the ACM on Human-Computer Interaction 2(CSCW), article 148, used with the authors' permission. The score shows which party's registered voters, on Twitter, shared an outlet's links more. It is not a rating of the outlet's own slant, and it dates from 2018. See how we use it.