1. Analysis of popular topics and hot content in the entire network in the past 10 days: What words are suitable for whom
In the past 10 days, hot topics across the network have covered many fields such as society, entertainment, technology, and health. This article presents popular content through structured data and analyzes the attention preferences of different groups of people to help readers quickly obtain key information.
2. Classification statistics of popular topics (2023 data)
| Topic Category | Typical keywords | Popularity index | Key Audiences |
|---|---|---|---|
| Social and people's livelihood | Delayed retirement and medical insurance reform | 9.2/10 | Workplace people aged 30-50 |
| Entertainment gossip | A top romance or movie withdrawal | 8.7/10 | Young people aged 18-35 |
| Technology Digital | AI big model, folding screen mobile phone | 8.5/10 | Technology enthusiasts/working elites |
| Healthy and wellness | Prevention of influenza A, mild fasting | 7.9/10 | Middle-aged and elderly people over 40 years old |
3. Analysis of hot topics in subdivided fields
1. Social and livelihood category
The number of discussions on the delayed retirement policy exceeded 2 million in a single day, and related topics are suitable for policy researchers, HR practitioners and professionals over 35 years old. Data shows that such topics are most widely spread on platforms such as Toutiao and Baijiahao.
2. Entertainment gossip
A top artist's love story has been exposed on Weibo for a total of 1.8 billion views, and the related discussions are suitable for the tracking of practitioners in the entertainment industry, brand marketers and fan groups. It is worth noting that such topics have derived a large number of second-creation content on short video platforms.
3. Technology and digital
| Products/Technology | Discussion Platform | Core audience | Practical value |
|---|---|---|---|
| GPT-4 Turbo | Zhihu/Professional Forum | Developer/AI Researcher | Technical iteration reference |
| Folding screen mobile phone | Digital community/e-commerce platform | Geek/high consumer group | Purchase decision-making assistance |
4. Health and wellness category
The spring influenza protection guide has spread 12 million ecological times on WeChat, among which the protection plan for integrated traditional Chinese and Western medicine has attracted the most attention. This type of content is especially suitable for collection and backup for groups with elderly and children at home.
4. Crowd adaptation guide
| Crowd characteristics | Recommended areas of concern | Information acquisition channel | Things to note |
|---|---|---|---|
| College Students | Postgraduate entrance examination policy/workplace skills | Bilibili/Xiaohongshu | Beware of paid training traps |
| New parents | Parenting knowledge/education policy | Vertical Community/Public Account | Pay attention to the authority of information |
| Business Manager | Economic Situation/Industry Report | Professional media/think tank | Cross-validation data source |
5. Hot spot tracking suggestions
1.Timeliness Management: The life cycle of social topics is about 3-7 days, and the technology can reach 2-4 weeks. It is recommended to set different tracking cycles according to needs.
2.Information rating: Divide hot spots into three levels: "must pay attention", "suggested understanding", and "optional browsing" to avoid information overload
3.Tool recommendations: Use Baidu Index, Weibo Hot Search List and other tools to help judge the real popularity of topics, and beware of fake hot spots created by marketing accounts
6. Summary
Effective information acquisition should have three characteristics:Match your own needs,Reliable information source,High digestive efficiency. It is recommended that readers establish a personalized list of hot spots based on the above structured data. Remember, not all hot topics are worth chasing, and choice is more important than hard work.
(The full text is about 850 words in total, and all data are compiled based on public network information. The actual popularity may vary due to the platform algorithm)
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