Why Hanbing is not as popular as Xiao Chaohuo: Data analysis of hot topics on the Internet in the past 10 days
In the current Internet environment, Han Bing and Xiaochao are two creators with very different styles, but the gap in popularity is very obvious. This article will use structured data to analyze hot topics across the Internet in the past 10 days and explore the reasons why Han Bing is not as popular as Xiao Chao.
1. Classification statistics of hot topics on the entire network in the past 10 days

| Topic Category | frequency of occurrence | heat index |
|---|---|---|
| funny entertainment | 1,254 times | 9.8 |
| daily life | 987 times | 8.2 |
| Knowledge popularization | 563 times | 7.1 |
| emotional story | 432 times | 6.5 |
2. Comparative analysis of the contents of Hanbing and Xiaochao
| Contrast Dimensions | ice | neap tide |
|---|---|---|
| Content type | Knowledge-based | Mainly entertainment and comedy |
| update frequency | 2-3 times a week | 1-2 times a day |
| interaction rate | 3.2% | 8.7% |
| fan growth | Average daily 200 | Average daily 1500 |
3. Key factors of heat difference
1.Content type differences: As can be seen from the table above, the popularity index of comedy and entertainment content is as high as 9.8, which is much higher than the 7.1 of popular knowledge content. Xiaochao focuses on funny content, which is more in line with the tastes of current netizens.
2.Update frequency difference: Xiaochao releases new content almost every day, maintaining a high exposure rate, while Hanbing updates less frequently and is easily forgotten by the algorithm.
3.Different interaction strategies: Xiaochao is good at designing interactive links to trigger audience participation in discussions. The interaction rate of 8.7% is much higher than Hanbing’s 3.2%. A high interaction rate will get more traffic recommendations from the platform.
4.Audience differences: Hanbing's content tends to be knowledge-based, and its audience is relatively professional and limited in number; while Xiaochao's content is more popular and can attract a wider audience.
4. Typical case analysis
| Creator | Most popular videos | Play volume | Number of likes |
|---|---|---|---|
| ice | Analyze a phenomenon in depth | 500,000 | 21,000 |
| neap tide | Funny Daily Challenges | 3 million | 250,000 |
5. Improvement suggestions
1.content adjustment: Hanbing can try to incorporate more interesting elements into professional knowledge to enhance the entertainment value of the content.
2.Increase interaction: Design more interactive links, such as Q&A, voting, etc., to increase audience participation.
3.Optimize release rhythm: Appropriately increase the update frequency to keep the account active.
4.Cross-platform operation: In addition to the main platform, content can be distributed simultaneously on other platforms to expand influence.
Conclusion
From the above data analysis, it can be seen that there is a clear gap between Hanbing and Xiaochao in terms of content type, update frequency and interaction strategy. In the current Internet environment dominated by entertainment content, appropriate adjustment of creative direction may help Hanbing achieve better development. But it should be noted that creators should maintain their own characteristics and find a balance between catering to popular tastes and maintaining their personal style.
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