Li Ziqi maintained her status due to her unique integration of content, persona, and cultural representation. She became a symbol of Chinese traditional culture and rural life, resonating deeply with audiences. Her return was seamless, with her first video after the hiatus maintaining the same ethereal quality, allowing viewers to reconnect without needing to reacquaint themselves with her style.
Emotions are fundamental in driving viral content. Successful creators often tap into societal emotions, such as nostalgia, humor, or outrage, to resonate with audiences. While professional creators rely on structured content strategies, viral hits often emerge from aligning with the prevailing societal mood, which is unpredictable and cannot be replicated.
MCNs have shifted from primarily providing business support to offering comprehensive services, including content strategy, crisis management, and audience engagement. As the industry matures, MCNs are increasingly focused on professionalizing creators, ensuring quality control, and adapting to the evolving demands of platforms and audiences.
Algorithm-driven recommendations are personalized, catering to individual preferences, while editor-driven recommendations are curated by professionals. Algorithms aim to maximize engagement by suggesting content users are likely to enjoy, whereas editors often introduce diverse or challenging content to broaden perspectives. Both methods have their strengths and limitations in shaping user experiences.
Creators adapt by understanding platform algorithms, optimizing content for engagement, and diversifying their strategies. Some creators maintain multiple accounts to explore different content styles, while others focus on building niche audiences. The key is balancing algorithmic demands with authentic content creation to sustain long-term relevance.
The 'acceleration' of content consumption, driven by short-form videos and algorithmic recommendations, has led to shorter attention spans and a preference for instant gratification. This trend influences how people process information, often prioritizing speed over depth. It raises concerns about the long-term impact on critical thinking and the quality of public discourse.
2024年我有很多看不懂的网红流量现象:
一首《诺言》捧红了郭有才,一句“开门不开门”捧红了听泉鉴宝;当李子柒王者归来时,我们慨叹王者永远都是王者;理发师晓华本本分分理发,却引发无数网友感叹“从来没这么想见一个女人”……
第二期年度盘点,继续和老蒋、三一博士来聊一聊“爆款”的秘密:
2024哪些流量时间让人印象深刻?
火爆全网的内容是由谁制造出来的?
流量界的“工艺品”与“艺术品”差在哪里?
如果有一天算法推荐彻底取代了编辑推荐,我们的冲浪观感会好吗?
“加速”再“加速”的社会里,我们需要警惕什么?
希望这期节目能跟你一起带着更多可能性、开放性去思考这些问题,也祝大家在新一年里都拥有自己的“爆款”生活。
【本期主播】
董晨宇,中国人民大学新闻学院副教授
老蒋巨靠谱,哔哩哔哩UP主
三一博士,抖音博主
【shownotes】
01:12 停更3年,李子柒为什么归来仍是王者?
03:42 2024年3个让人敲警钟的“中年男爹”
08:36 世界是个巨大的回旋镖
13:50 网红中的“艺术品”与“工艺品”
15:21 今年视频博主涨粉难吗?
21:05 博主踩情绪的3种方式层次
26:50 今年以来MCN是怎么“卷”的?
29:50 创作者对平台来说,未必那么“重要”
36:38 如果有一天“算法推荐”彻底取代了“编辑推荐”……
43:19 为什么社会不能“加速”到底?
47:31 概念辨析:说服vs争吵
53:00 “算法比我都懂我”时刻
58:58 为了驯服算法,养了2个号
60:12 知识博主从哪里收集高质量信息?
【背景音乐】
Em Beihold - Numb Little Bug
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编辑/小杨,音频剪辑/译丹
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