How to use Duodian: Analysis of hot topics and hot content on the Internet in the past 10 days
In the era of information explosion, how to efficiently use "multi-point" tools to capture hot spots across the entire network has become key. This article combines hot topics in the past 10 days and uses structured analysis to help you quickly grasp the trend.
1. Overview of hotspot data across the entire network (last 10 days)
| Ranking | topic type | Hot keywords | heat index | Main platform |
|---|---|---|---|---|
| 1 | Technology | AI large model, Apple WWDC | 9.8 | Weibo/Zhihu |
| 2 | society | College entrance examination scores, summer safety | 9.5 | Douyin/Toutiao |
| 3 | Entertainment | Celebrity concerts, film and television drama promotions | 9.2 | Weibo/Bilibili |
| 4 | International | Russia-Ukraine situation, Fed rate hike | 8.7 | Twitter/WeChat |
2. Multi-point core function applications
1. Hotspot tracking function
•Real-time monitoring: Set keywords such as "AI technology" and "education policy" to automatically push the latest news across the entire network
•Heat analysis: Compare the communication cycles of different topics through curve charts (for example, the college entrance examination topic lasts for 14 days with a peak)
2. Cross-platform comparison
| Platform | Hotspot features | Multi-point operations |
|---|---|---|
| Mainly entertainment topics | Turn on the "Celebrity Word Cloud" filter | |
| Zhihu | In-depth technical discussion | Enable "Long text analysis" mode |
| Douyin | Fragmented communication | Set up "15 second hotspot" capture |
3. Use of early warning system
•breaking news: Configure red warning labels such as "international conflicts" and "natural disasters"
•Public opinion management: Automatically remind when the popularity of enterprise-related topics exceeds the threshold (it is recommended to set a 7-level popularity threshold)
3. Practical case demonstration
in the near future"AI Large Model Competition"Topics for example:
1. Create “Technology Trends” billboards at multiple points
2. Add keywords: GPT-5, Wen Xinyiyan, Llama3
3. Select the time range: June 15-25
4. Generate data comparison report:
| Model name | amount of discussion | Proportion of positive emotions | Main application scenarios |
|---|---|---|---|
| GPT-5 | 280,000 | 72% | Programming/Education |
| Wenxinyiyan | 150,000 | 65% | Office/Creation |
4. Advanced usage skills
•Data export:Supports Excel/JSON format for easy production of weekly reports
•API docking: Linked with the company’s internal system (up to 5,000 calls per day)
•Customized signage: Drag-and-drop interface to create industry-specific monitoring templates
5. Things to note
1. Avoid monitoring more than 50 keywords at the same time (affects refresh speed)
2. International topics require manual adjustment of time zone settings
3. Sensitive topics must comply with the "Regulations on Ecological Governance of Network Information Content"
Through the above structured method, users can give full play to the value of multi-point tools. It is recommended to reserve 30 minutes every day for hot spot review and continuously optimize the monitoring strategy.
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