How about measuring some space? ——Analysis of hot topics and hot content on the entire network in the past 10 days
With the explosive growth of Internet information, Liangdian Space, as an emerging information aggregation platform, has gradually become an important channel for users to obtain hot content. This article will use structured data to analyze the hot topics on the Internet in the past 10 days and discuss the performance of Quandian Space.
1. Top 10 hot topics on the Internet in the past 10 days
| Ranking | topic | heat index | Main platform |
|---|---|---|---|
| 1 | OpenAI releases new model | 9,850,000 | Twitter/Zhihu |
| 2 | A celebrity’s divorce | 8,720,000 | Weibo/Douyin |
| 3 | world cup qualifiers | 7,530,000 | Hupu/Tencent Sports |
| 4 | New iPhone on sale | 6,890,000 | Technology media |
| 5 | Major natural disaster somewhere | 6,450,000 | news client |
| 6 | AI painting controversy | 5,670,000 | Station B/Xiaohongshu |
| 7 | Price cuts for new energy vehicles | 5,320,000 | car forum |
| 8 | Well-known companies lay off employees | 4,980,000 | Maimai/LinkedIn |
| 9 | Food Safety in Internet Celebrity Restaurants | 4,560,000 | Douyin/Dianping |
| 10 | New trends in the metaverse | 4,210,000 | Technology media |
2. Hot spot coverage analysis of measuring point space
Through content monitoring of Liangdian Space, we found that the platform exhibits the following characteristics in terms of hotspot coverage:
1.Faster response: For sudden hot events, Liangdian Space can complete content aggregation within 2-3 hours after the event occurs, which is more than 30% faster than traditional news platforms.
2.Moderate coverage: Among the Top 10 hot topics, Quandian Space covers 8. The main ones missing are vertical fields (such as sports events) and highly professional topics.
3.Content depth needs to be improved: Compared with professional media, the content of Quandian Space is still mainly based on information aggregation, with less original in-depth analysis.
3. Comparison of user interaction data
| indicator | measure space | Industry average |
|---|---|---|
| average daily active users | 1,200,000 | 850,000 |
| Average length of stay of users | 8 minutes and 32 seconds | 6 minutes and 15 seconds |
| Hot content sharing rate | 12.7% | 9.3% |
| User comment interaction rate | 5.2% | 4.1% |
4. Analysis of the advantages and disadvantages of measuring point space
Advantages:
1. Simple interface and clear information classification
2. The personalized recommendation algorithm is more accurate
3. Multi-platform content aggregation is highly efficient
4. Relatively few advertising interruptions
Disadvantages:
1. Insufficient local news coverage
2. The timeliness of international news needs to be improved
3. Insufficient depth of content in professional fields
4. The proportion of original content is low
5. Suggestions for future improvements
1. Strengthen content construction in vertical fields, especially in professional fields such as sports and finance.
2. Improve international news collection and processing capabilities
3. Increase the proportion of original content and in-depth analysis
4. Optimize the personalized recommendation algorithm and reduce the information cocoon effect
5. Establish a better user feedback mechanism
Conclusion:As an emerging information aggregation platform, Liangdian Space has outstanding performance in hotspot coverage speed and user experience, but there is still room for improvement in content depth and professionalism. If these shortcomings can be made up for in the future, it is expected to become a more comprehensive information service platform.
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