Title: How to read other people’s likes on Weibo? Revealing the hidden tricks of social media
In the era of social media, Weibo is one of the largest social platforms in China, and user interaction behaviors (such as likes, comments, and forwarding) have become hot topics. In the past 10 days, the discussion on "how to check other people's likes on Weibo" has soared. This article will analyze this phenomenon for you and provide structured data support based on hot topics across the Internet.
1. Inventory of hot topics on the Internet in the past 10 days

| Ranking | topic | heat index | Main discussion platform |
|---|---|---|---|
| 1 | Controversy over visibility of likes on Weibo | 9.2 | Weibo, Zhihu, Douban |
| 2 | Privacy protection and social boundaries | 8.7 | WeChat, Bilibili, Hupu |
| 3 | Third-party tool security analysis | 7.5 | Technology forums and post bars |
2. Why do people pay attention to other people’s like records?
1.Social relationship insights: Analyze friends’ interest preferences or potential relationship chains through like behavior.
2.Content mining: Discover high-quality content from the likes of high-quality users.
3.business value: Brands track KOL’s real interaction data.
3. Comparison of current methods of viewing other people’s likes
| method | Operation difficulty | success rate | Risk warning |
|---|---|---|---|
| Weibo official function | simple | 30% | Only for some public accounts |
| browser plug-in | medium | 65% | There is a risk of data leakage |
| API interface call | complex | 85% | May violate platform rules |
4. Current status of platform policies for privacy protection
According to Weibo’s latest user agreement (2023 revised version):
- The default visible range of likes is "Fans"
- Members can set "visible only to themselves"
- Corporate accounts must disclose interaction data
5. Expert advice and safety tips
1.Respect privacy: Viewing other people’s private data without permission may involve legal risks.
2.Official channels are preferred: Use Weibo’s built-in “shared likes” function (both parties need to be related to each other).
3.Be wary of third-party tools: Recently, the Cyber Security Center has detected multiple cases of malware spread through the like query tool.
6. User attitude survey data
| attitude type | Proportion | typical view |
|---|---|---|
| Support public | 42% | “Like is a public statement” |
| request privacy | 35% | “Don’t want to be over-interpreted” |
| neutral attitude | 23% | "Depending on the specific content type" |
Conclusion:In the digital social era, likes are no longer just a simple interactive behavior, but have become an important part of the social graph. It is recommended that users not only satisfy their curiosity, but also pay attention to privacy protection and compliance with platform rules. Weibo officials currently state that they are developing a more complete privacy control function, which is expected to be launched in the first quarter of 2024.
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