What to add to red to make it purple: analysis of hot topics and hot content on the Internet in the past 10 days
In the world of color, the mixture of red and blue will give birth to noble purple. In the past ten days, the online world has been as colorful as a color palette. This article will sort out recent hot topics and hot content for you and present them with structured data.
1. Ranking of hot topics on the entire network (last 10 days)

| Ranking | topic | heat index | Main platform |
|---|---|---|---|
| 1 | OpenAI releases new AI model | 9.8 | Twitter/Zhihu/Weibo |
| 2 | A celebrity’s divorce scandal | 9.5 | Weibo/Douyin |
| 3 | world cup qualifiers | 9.2 | Hupu/Knowing the Football Emperor |
| 4 | Double Eleven Shopping Festival pre-sale | 8.9 | Taobao/Xiaohongshu |
| 5 | The epidemic situation is recurring in a certain place | 8.7 | WeChat/Toutiao |
2. Classification analysis of hot content
1.Technology field
The latest AI model released by OpenAI has triggered widespread discussion, and its language understanding capabilities have reached new heights. Technology bloggers have tested and shared their experience, and the number of views on related topics has exceeded 1 billion.
| subtopic | Discussion points | typical view |
|---|---|---|
| AI creation | Content originality disputes | "AI will reshape the creative ecosystem" |
| employment impact | occupational substitution risk | "Need to pay attention to skills transformation" |
| ethical issues | Data privacy and security | "Legislative supervision is urgent" |
2.entertainment gossip
A top star's divorce announcement set off social media, and related topics stayed on Weibo's hot search list for more than 48 hours. Fan groups have polarized attitudes, sparking discussions about celebrities' privacy rights.
3.sporting events
The World Cup qualifiers are in full swing, and many focus matches have become hot topics of discussion. A video of a certain star's key goal received more than 5 million likes on Douyin, driving the popularity of related topics to soar.
4.E-commerce promotion
The Double Eleven pre-sale activities are in full swing, and major platforms have launched innovative gameplay. Live streaming continues to maintain a strong momentum, with a leading anchor’s single-game pre-sales exceeding 5 billion yuan.
| Platform | Featured activities | pre-sale growth rate |
|---|---|---|
| Taobao | Cross-store discounts | +35% |
| Jingdong | Price guarantee service | +28% |
| Pinduoduo | Ten billion subsidies | +42% |
3. Analysis of hot spot communication rules
Through tracking and observing recent hot events, we have discovered the following propagation characteristics:
1.Cross-platform detonation: Important events usually first appear on Weibo/WeChat, and then spread to short video platforms, eventually forming discussions across the entire network.
2.shortened life cycle: The average popularity duration of a single topic has been shortened from 72 hours last year to less than 48 hours.
3.Emotional communication: Content with strong emotional color is more likely to become viral, especially emotions such as anger and surprise.
| emotion type | Proportion | Typical cases |
|---|---|---|
| Angry | 32% | A company's layoffs |
| surprise | 25% | Tech Breakthrough News |
| sad | 18% | celebrity obituaries |
| happy | 15% | sports event victory |
| Others | 10% | - |
4. Prediction of future hot spots
Based on current trends, we predict that the following topics may heat up in the coming week:
1. An important international conference is about to be held, and related issues may trigger discussions
2. As the winter flu season approaches, attention to health topics will increase.
3. A highly anticipated movie is about to be released, and the pre-sales situation deserves attention.
4. The release of economic data at the end of the year may trigger related financial topics
Just as red turns purple when it meets blue, the collision of different topics in the online world will also create new hot spots. We will continue to pay attention to these changes and bring you the latest trend analysis.
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