4 Matching Annotations
  1. Feb 2021
    1. Nextdoor’s feed-ranking algorithm feels less aggressively optimized than those of larger networks. There’s no such thing as “followers,” so there’s little incentive for users to post clickbait or engagement bait. The network’s intimate scope, with each user identified by their real first name, last initial, and neighborhood of residence, can make using Nextdoor feel less like a game of influence and more like, well, actually talking to your neighbors. It’s hard to go viral when your audience is limited to your immediate area.

      Nextdoor的feed-ranking算法不如那些大型网络的优化那么积极。没有所谓的“followers”, 所以用户很少有动机发布点击诱饵或参与诱饵。这个网络的亲密范围——每个用户通过他们的真实姓名、姓氏首字母和居住区域来确定——使得使用 Nextdoor 不再像是一个影响力的游戏,而更像是实际上与你的邻居交谈。如果你的听众只局限于你所在的区域,那么很难进行病毒式传播。

    2. Nextdoor has gradually evolved into something bigger and more consequential than just a digital bulletin board: In many communities, the platform has begun to step into roles once filled by America’s local newspapers. “Anecdotally, Nextdoor has gone from being kind of sub-Facebook to actually being the main platform you hear people discussing as a vector for local news and events and discussions,” says Emily Bell, director of the Tow Center for Digital Journalism at Columbia University.

      Nextdoor逐渐演变成一个更大、更重要的东西,而不仅仅是一个数字公告牌。在许多社区,这个平台已经开始进入曾经由美国当地报纸充当的角色。"从轶事上看,Nextdoor有趣的是,Nextdoor 已经从一个类似于 Facebook 的子平台,变成了人们讨论的主要平台,成为当地新闻、事件和讨论的载体。"哥伦比亚大学Tow数字新闻中心主任Emily Bell说。

  2. Jul 2020
    1. The most controversial crime-related posts get the most engagement. In turn, these posts are featured the most in users’ notifications because the algorithm knows those posts attract lots of likes, comments, and clicks.

      I wonder if this also increases the availability heuristic implicit and makes people think there is more crime in their neighborhood than there actually is?