How to read the exposure scale: analysis of hot topics on the Internet in the past 10 days
In the era of information explosion, how to quickly capture hot topics and accurately measure the exposure of topics has become key. This article will combine the hot topic data of the entire network in the past 10 days, analyze the application method of "exposure ruler", and present hot trends through structured data.
1. What is an exposure ruler?
Exposure scale is a comprehensive indicator that measures the popularity of topics or content, usually includingSearch volume, social media discussion, media coverage frequencyequal dimensions. Through quantitative analysis, the real-time popularity and communication potential of the topic can be judged.
2. Top 5 hot topics on the Internet in the past 10 days
| Ranking | topic | exposure index | Main platform |
|---|---|---|---|
| 1 | OpenAI releases GPT-4o | 9.8/10 | Twitter, Zhihu, technology media |
| 2 | Paris Olympic Torch Relay | 9.2/10 | Weibo, TikTok, sports forum |
| 3 | Controversy over AI Stefanie Sun's cover song | 8.7/10 | Station B, YouTube, music community |
| 4 | 618 e-commerce pre-sale battle report | 8.5/10 | Douyin, Xiaohongshu, e-commerce APP |
| 5 | "Celebrating More Than Years 2" has divided reviews | 8.1/10 | Douban, film and television self-media, Tencent video |
3. Interpretation of core dimensions of exposure ruler
| Dimensions | weight | Data source | Example (GPT-4o event) |
|---|---|---|---|
| search index | 30% | Google Trends, Baidu Index | Global search volume increased by 420% in a single day |
| social interaction | 35% | Weibo hot searches, Twitter trends | Related topics have been read more than 1.5 billion times |
| media reports | 25% | News websites, aggregation platforms | 286 media followed up with reports |
| Derivative content | 10% | Secondary creation, UGC | There are over 8,000 review videos on Bilibili |
4. How to use the exposure ruler to determine the true heat?
1.Look at the trend curve: The sudden peak may be short-term marketing, and the continuous rising curve reflects real attention.
2.Cross-platform verification: You need to be cautious when a single platform is hot, and simultaneous outbreaks on multiple platforms have more reference value.
3.Monitor decay rate: The average daily attenuation of natural hot spots is about 15%-20%, and abnormal steep drops may involve human manipulation.
5. Life cycle prediction of current hot spots
| topic type | average heat cycle | Typical attenuation characteristics |
|---|---|---|
| Technology product launch | 7-14 days | After the peak on the first day, the daily decrease was 8%-12%. |
| Entertainment content | 10-21 days | The weekend rebound is obvious |
| social events | 3-7 days | Rapid decline after 48 hours |
| business promotion | Activity period +3 days | The event ends and the cliff falls |
6. Limitations and countermeasures of exposure ruler
•Data lag: Data updates on most platforms are delayed by 6-12 hours and need to be combined with real-time monitoring tools
•geographical bias: Platform weights in different regions need to be manually calibrated (for example, Weibo is more sensitive to the domestic market)
•semantic interference: The same keyword may correspond to different events, requiring manual semantic analysis assistance.
Through the multi-dimensional analysis of the exposure ruler, we can not only clearly see the current hot spot pattern, but also predict the trend of the topic. Recommended for businesses and content creators to establishRegular monitoring mechanism, deeply binding exposure data with business decisions.
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