What does feeding mean
In the Internet era, the word "feeding" has gradually become a popular Internet term, especially in the fields of social media and content creation. This article will analyze the meaning of "feeding" in combination with popular topics across the network for the past 10 days, and display relevant hot content through structured data.
1. The definition and origin of "feeding"
"Feeding" originally originated from the Japanese word "きりゅう", which originally means "feeding feed", and later extended to the behavior of content creators providing fans with specific information or materials. In the context of Chinese Internet, it mainly refers to:
1. Provide exclusive/scarce content (such as celebrity Reuters, internal news)
2. Information delivery to meet the needs of specific groups
3. Source of materials for self-media creation
2. The ranking of popular "feeding" topics in the past 10 days
Ranking | topic | Popularity index | Main Platforms |
---|---|---|---|
1 | OpenAI releases GPT-4o model | 9,850,000 | Twitter/Zhihu |
2 | "Singer 2024" Live Accident | 7,230,000 | Weibo/B site |
3 | Xiaomi SU7 owners test their battery life | 6,510,000 | TikTok/Auto Home |
4 | New trends in Japan's nuclear polluted water emissions | 5,890,000 | Headlines/Pengpai |
5 | "Qing Yu Nian 2" Collection of missed shots | 4,760,000 | Kuaishou/Douban |
3. Typical "feeding" case analysis
Case 1: Science and Technology Field
On May 14, the well-known whistleblower @Tech_Reve leaked the iPhone 16 design drawings in advance on Twitter, and the number of readings on related topics exceeded 200 million within 24 hours. This "feeding" behavior directly affects the fluctuations in Apple's stock price.
Case 2: Entertainment Field
During the live broadcast of "Singer 2024", a netizen @Mango insider released a behind-the-scenes video of the contestant's ear failure in real time. The Weibo post received 123,000 reposts, forming a hot spot for secondary dissemination.
4. Data characteristics of the content of "feeding"
Feature Dimensions | Percentage | Typical cases |
---|---|---|
Timely content | 68% | Typhoon real-time path update |
Visual material | 45% | Xiaomi Automobile Factory real shot |
Controversial topics | 39% | Price increase in college canteens |
Practical information | 32% | Illustration of the new medical insurance reimbursement regulations |
5. How to identify high-quality "feeding"
1.Source verification: View publisher history and professional qualifications
2.Cross comparison: At least 3 independent sources confirm
3.Time limit judgment: Pay attention to the original release time and watermark information
4.Motivation Analysis: Beware of incorporating advertisements or attracting traffic
6. The duality of "feeding" culture
Positive value:
• Accelerate information flow efficiency
• Meet the user's right to know
• Promote the prosperity of content ecology
Potential risks:
• Dissemination of false information
• Privacy infringement issues
• Copyright disputes increase
According to Qingbo Big Data Monitoring, in the past 10 days, more than 12 million "feeding" content were generated on the entire network, of which only 17% of the authoritative information certified by the official accounted for, which reminds us that we need to maintain rational judgment when receiving "feeding".
With the popularity of AI-generated content (AIGC), "feeding" is developing towards intelligence and personalization. It is recommended that users pay attention to the "fact verification" column set up by trusted media. At the same time, the platform should also establish a more complete traceability mechanism to jointly maintain a healthy information ecosystem.
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