我们是在用 AI，还是在和它交流？｜人机传播 HMC、AI 助手、传播角色与人机边界｜Guzman & Lewis 2020 研究议程｜创学空间·论文精读10
Published October 2, 2026
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643
Likes
0
Comments
0
Performance vs. channel
All-time outlier score
Engagement rate
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AI 改错了一段文字，你回它一句：“你理解错了，我想说的是……” 你知道它是机器，却仍在对它说话，等待它继续回应。这种互动，该怎样理解？ 本期文字精读与参考文献｜创学空间 cxspace https://cxspace.com/readings/ai-relationships/guzman-lewis-2020-human-machine-communication/ 创学空间·论文精读第10期，通过博主导读、2D 动画与原文中英对照，解读Guzman 与 Lewis（2020）《人工智能与传播：人机传播研究议程》。 作者从技术作为传递信息的通道，转向技术作为交流对象，提出功能、关系与人机边界三个相互交织的研究方向。 本…
- Published
- October 2, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How 我们是在用 AI，还是在和它交流？｜人机传播 HMC、AI 助手、传播角色与人机边界｜Guzman & Lewis 2020 研究议程｜创学空间·论文精读10 is doing
It has 643 views in total. It ranks #14,501,748 among tracked YouTube videos by views.
Key facts about 我们是在用 AI，还是在和它交流？｜人机传播 HMC、AI 助手、传播角色与人机边界｜Guzman & Lewis 2020 研究议程｜创学空间·论文精读10
- Total views
- 643
- Total likes
- 0
- Total comments
- 0
- Published
- October 2, 2026
- Global rank by views
- #14,501,748
Frequently asked questions
How many views does 我们是在用 AI，还是在和它交流？｜人机传播 HMC、AI 助手、传播角色与人机边界｜Guzman & Lewis 2020 研究议程｜创学空间·论文精读10 have?
我们是在用 AI，还是在和它交流？｜人机传播 HMC、AI 助手、传播角色与人机边界｜Guzman & Lewis 2020 研究议程｜创学空间·论文精读10 has 643 views, ranking #14,501,748 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.