注意力 ≠ 社交网络
Attention Media ≠ Social Networks

原始链接: https://susam.net/attention-media-vs-social-networks.html

## 社交网络的演变——以及倒退 Susam Pal 反思了社交媒体从真诚地与人联系到成为吸引注意力的平台的转变。早期的社交网络,如 Twitter(约2006年),促进了真实的互动和有意义的通知,体现了 Web 2.0 的乐观精神。 然而,在2012-2016年间,无限滚动和具有操纵性的、无关紧要的通知等变化开始侵蚀用户体验。算法优先考虑的是*平台*的参与度,而非用户需求,用陌生人的内容填满时间线,并减少了来自联系人的帖子。这些平台不再让人感觉“社交”,而是变成了捕捉注意力的工具。 感到幻灭的 Pal 发现了 Mastodon,一个回归原始社交网络模式的平台。它优先考虑用户选择的联系人,仅传递来自这些联系人的更新,并避免使用操纵性的通知。这种回归更平静、由选择驱动的体验,为当前注意力媒体的格局提供了一个充满希望的对比。

Hacker News 新闻 | 过去 | 评论 | 提问 | 展示 | 招聘 | 提交 登录 媒体 ≠ 社交网络 (susam.net) 31 分,susam 发表于 52 分钟前 | 隐藏 | 过去 | 收藏 | 1 条评论 求助 PaulKeeble 2 分钟前 [–] “随着时间的推移,我的时间线上的朋友帖子越来越少,随机陌生人的内容越来越多。” 仍然让我困惑的是,Facebook 总是用我毫无兴趣的垃圾内容填满我的信息流。我现在几乎不怎么用了,因为他们生成的内容阻碍了我打开 Facebook 的初衷。这些算法信息流显然对某些人有效,但不是我想要的,我只想看到我关注的内容,除非我明确去寻找,否则不想看到其他内容。回复 指南 | 常见问题 | 列表 | API | 安全 | 法律 | 申请 YC | 联系 搜索:
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原文

By Susam Pal on 20 Jan 2026

When web-based social networks started flourishing nearly two decades ago, they were genuinely social networks. You would sign up for a popular service, follow people you knew or liked and read updates from them. When you posted something, your followers would receive your updates as well. Notifications were genuine. The little icons in the top bar would light up because someone had sent you a direct message or engaged with something you had posted. There was also, at the beginning of this millennium, a general sense of hope and optimism around technology, computers and the Internet. Social networking platforms were one of the services that were part of what was called Web 2.0, a term used for websites built around user participation and interaction. It felt as though the information superhighway was finally reaching its potential. But sometime between 2012 and 2016, things took a turn for the worse.

First came the infamous infinite scroll. I remember feeling uneasy the first time a web page no longer had a bottom. Logically, I knew very well that everything a browser displays is a virtual construct. There is no physical page. It is just pixels pretending to be one. Still, my brain had learned to treat web pages as objects with a beginning and an end. The sudden disappearance of that end disturbed my sense of ease.

Then came the bogus notifications. What had once been meaningful signals turned into arbitrary prompts. Someone you followed had posted something unremarkable and the platform would surface it as a notification anyway. It didn't matter whether the notification was relevant to me. The notification system stopped serving me and started serving itself. It felt like a violation of an unspoken agreement between users and services. Despite all that, these platforms still remained social in some diluted sense. Yes, the notifications were manipulative, but they were at least about people I actually knew or had chosen to follow. That, too, would change.

Over time, my timeline contained fewer and fewer posts from friends and more and more content from random strangers. Using these services began to feel like standing in front of a blaring loudspeaker, broadcasting fragments of conversations from all over the world directly in my face. That was when I gave up on these services. There was nothing social about them anymore. They had become attention media. My attention is precious to me. I cannot spend it mindlessly scrolling through videos that have neither relevance nor substance.

But where one avenue disappeared, another emerged. A few years ago, I stumbled upon Mastodon and it reminded me of the early days of Twitter. Back in 2006, I followed a small number of folks of the nerd variety on Twitter and received genuinely interesting updates from them. But when I log into the ruins of those older platforms now, all I see are random videos presented to me for reasons I can neither infer nor care about. Mastodon, by contrast, still feels like social networking in the original sense. I follow a small number of people I genuinely find interesting and I receive their updates and only their updates. What I see is the result of my own choices rather than a system trying to optimise my behaviour. There are no bogus notifications. The timeline feels calm and predictable. If there are no new updates from people I follow, there is nothing to see. It feels closer to how social networks used to work originally. I hope it stays that way.


See also: Three Inverse Laws of AI and Robotics.

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