What to do: Analysis of hot topics and hot content on the Internet in the past 10 days
In the era of information explosion, "inversion" has become a new ability - that is, how to filter out valuable content from massive information and convert it into personal or commercial value. This article will combine the hot topics and hot content on the Internet in the past 10 days to conduct a structured analysis of "how to counterattack" to help readers master this core skill.
1. Popular topic classification and data statistics
According to public opinion monitoring across the entire network, hot topics in the past 10 days (as of November 2023) are mainly concentrated in the following areas:
| Classification | Topic examples | heat index | duration |
|---|---|---|---|
| science and technology | OpenAI board coup incident | 9.2/10 | November 17th - November 22nd |
| entertainment | An accident at a top star's concert | 8.7/10 | November 15th - November 20th |
| society | Respiratory diseases are more common in winter | 8.5/10 | November 12 - Ongoing |
| internationality | The aftermath of the Israeli-Palestinian conflict | 9.0/10 | November 10 - Ongoing |
2. Hot Content Reduction Methodology
1.Information filtering:Determine content value through the following metrics:
| index | illustrate | weight |
|---|---|---|
| propagation speed | Increase in forwarding volume within 24 hours | 30% |
| Depth of participation | The quality of interaction in the comment area | 25% |
| Cross-border impact | Will it trigger discussions in other areas? | 20% |
| duration | Duration of stay on hot search list | 15% |
| emotional intensity | Proportion of extreme emotions | 10% |
2.Value conversion path:
•Business realization:For example, a milk tea brand used a celebrity event to launch a co-branded model, and its sales increased by 300% in a single day.
•Content creation:The UP host of Bilibili analyzed the OpenAI incident in depth, and the video views exceeded 5 million
•Trend forecast:Medical institutions reserve respiratory drugs in advance to cope with peak winter demand
3. Practical case: OpenAI event backlash analysis
| Time node | key action | reverse force effect |
|---|---|---|
| November 17 (incident broke out) | Technology media establishes special page | Traffic increased by 180% |
| November 18 | Knowledge payment platform launches AI industry interpretation course | Sales exceeded one million |
| November 20 | Recruitment platform launches AI talent project | Rising volume of resume submissions |
4. Risk Avoidance Guidelines
You need to be careful during the downturn process:
•Outdated information:The average popularity cycle of a topic is only 3.7 days
•Legal risks:23% of hot topics involve copyright or privacy issues
•Emotional trap:42% of controversial topics are spread irrationally
Conclusion:The essence of the force is to establish a "hotspot radar system" - a three-stage model of continuous monitoring (60% energy), rapid verification (30% energy) and precise attack (10% energy) to convert information potential energy into actual value. Master this ability, and you can become a true "surfer" in the flood of information.
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