X平台（原Twitter）正在对其社区笔记功能进行一系列调整，旨在促进不同观点用户之间的理解和共识。最新推出的试点测试允许用户选择那些获得持有不同政见者共同喜爱的帖子，以此来发掘和展示能够跨越视角、引起广泛共鸣的观点。此外，平台还引入了新的评价机制，用户可以对帖子进行评价，这些评价将直接影响笔记的可见性。被广泛认可且获得不同视角用户正面评价的笔记，将会显示一个特殊的标识，表明该内容得到了多元化群体的认同。X平台表示，这些新功能将逐步推广，并持续优化其背后的开源算法，以期在争议性话题中找到共同点，推动社会进步。

🎯 **跨视角内容识别与推广**：X平台推出一项新试点，鼓励用户关注那些能够被持有不同政见者共同喜爱的帖子。其核心目的是发掘和展示那些能够超越分歧、引起广泛共鸣的观点和见解，从而揭示人们在特定议题上可能存在的共同点，促进更广泛的理解。

📈 **评价机制的引入与影响**：自7月25日起，部分受邀用户能够通过回答问题来评价帖子，包括喜欢或不喜欢的理由。这些评价将对笔记的可见性产生直接影响。获得足够多正面评价且这些评价来自不同视角的帖子，将获得一个特殊的标注，提示用户该内容得到了多元化群体的认同。

⚖️ **开源算法与逐步推广**：社区笔记功能背后的算法是开源的，用户可以在GitHub上查看代码并提出建议。X平台强调，目前该算法仍处于早期开发阶段，其运作方式类似于最初的社区笔记试点。平台将根据算法的优化和用户反馈，逐步扩大新功能的覆盖范围，确保功能的稳定和有效性。

🤝 **促进共识与社会进步**：通过鼓励用户关注和评价那些能够获得不同群体认可的内容，X平台希望能够增强人们在争议性话题上的共识，减少对立情绪。这种机制的最终目标是推动社会进步，让人们能够更开放地分享和讨论那些能够触及广泛人群的观点。

X is changing Community Notes again.

On Thursday, the @CommunityNotes account expanded upon a June X post to announce a new pilot test where people can select posts that are liked by people who normally disagree. Think of, say, a post that both Andrew Cuomo and Zohran Mamdani like, or a post liked by both someone who makes their brand off of loving cats and also by someone who makes their brand off of loving dogs.

"People often feel the world is divided, yet Community Notes shows people can agree, even on contentious topics. This experimental new feature seeks to uncover ideas, insights, and opinions that bridge perspectives. It can bring awareness to what resonates broadly. It could motivate people to share those ideas in the first place. Ultimately, it could help move the world forward in ways that the people want," the @CommunityNotes account posted in June.

This Tweet is currently unavailable. It might be loading or has been removed.

As of July 25, select contributors are also able to rate posts by answering questions about why they like — or don't like — the post.

"Starting today, your ratings will have a visible effect for others in the pilot," the @CommunityNotes account posted on X on Thursday. "Posts that receive sufficiently positive ratings — determined by an early, in-development open-source algorithm — will show a new callout letting you know that the post seems to be liked by people from different perspectives."

If users with opposing viewpoints both agree that the fact-check is accurate, then that note gets published to the public.

"As before, only people in the pilot will see these callouts," the announcement post continued, adding that X will expand it gradually "as we refine the open-source algorithm behind it."

"Right now, it's very basic, similar to the early Community Notes pilot test algorithms," the @CommunityNotes account posted on X. The message linked readers to the GitHub account that displays the code, and which allows users to share critiques, ideas, and suggestions.