How WeChat counts likes: Revealing the data logic behind likes
In the era of social media, likes have become an important indicator of user interaction. As one of the largest social platforms in China, WeChat’s like counting function not only affects users’ social experience, but is also the focus of content creators and merchants. This article will analyze the statistical logic of WeChat likes based on hot topics across the Internet in the past 10 days, and provide structured data for reference.
1. Statistical logic of WeChat likes

The statistics of WeChat likes mainly involve the following core links:
1.User behavior records: When a user clicks the "Like" button, the system will record the user ID, timestamp and content ID in real time.
2.Data storage and update: Like data is stored in the back-end database and synchronized to the front-end display in real time.
3.Anti-brush mechanism: WeChat will use IP, device fingerprint and other technologies to prevent malicious like-brushing behavior.
| statistical dimension | Description | 
|---|---|
| Total likes | The cumulative number of likes from all users for a single piece of content | 
| Likes added daily | Increase in likes by day | 
| User portrait | Distribution of like users by gender, region, etc. | 
2. The correlation between hot topics and likes on the entire network in the past 10 days
The following are data trends related to like behavior in recent hot topics:
| hot topics | Average WeChat likes | peak time | 
|---|---|---|
| World Cup event discussion | 12,000/item | Evening 19:00-22:00 | 
| Double Eleven Shopping Guide | 8500/item | Noon 12:00-14:00 | 
| celebrity gossip events | 24,000/item | 0:00-1:00 am | 
3. Key factors affecting the number of likes on WeChat
By analyzing popular content, we discovered the following patterns:
1.Content type: The number of likes for entertainment and current affairs content is generally higher than that of other types.
2.Release time: The evening time period (20:00-22:00) has the highest likes and interaction rate.
3.user engagement: The number of likes for content with hashtags increased by an average of 37%.
| Influencing factors | Increase in number of likes | 
|---|---|
| Add pictures/videos | +45% | 
| Use trending hashtags | +37% | 
| Fan base>10,000 | +62% | 
4. How to check WeChat like data?
Ordinary users and public account operators can obtain like data through the following methods:
1.individual user: Check the total number of likes directly at the bottom of the article in Moments or official account.
2.Official account backend: View detailed data through "Statistics" - "User Behavior" - "Content Analysis".
5. Summary
WeChat like statistics is a multi-dimensional data analysis process, which not only reflects the quality of content, but also reflects the pattern of user activity. Creators can increase the number of likes by optimizing publishing time, content format, etc. At the same time, they need to pay attention to the anti-cheating rules of the WeChat platform. In the future, with the algorithm upgrade, the value of like data will be further explored.
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