《自然》最新研究:Z世代不看“人设”,只看“疯”度
3 6 Ke·2025-11-06 03:06

Core Insights - The study reveals that for Generation Z, creating a personal brand on social media is less effective than using diverse emotional expressions and memes to gain attention [3][4][12] Group 1: Social Media Behavior - The research involved over 10,000 individuals born in 2000-2001, analyzing 2.1 million social media posts and interactions from 2018 to 2021 [3][4] - The findings contradict traditional views on social media impression management, indicating that emotional expression and the use of memes are more significant than wealth or status in gaining visibility [3][4][10] Group 2: Emotional Expression and Engagement - To stand out on social media, users should utilize a variety of memes and express a range of emotions, moving away from monotonous expressions [4][12] - The study emphasizes that emotional diversity and the use of emojis enhance user attractiveness and engagement, regardless of individual characteristics like gender or education level [12][13] Group 3: Attention Economy Dynamics - The research highlights the dynamic nature of attention capital, showing that user engagement can fluctuate significantly over time, with a notable percentage of users shifting between high and low engagement groups [15][18] - It suggests that maintaining attention on social media requires continuous and varied emotional expression, as past popularity does not guarantee future visibility [18][20] Group 4: Empathy and Social Connections - The study posits that empathy mechanisms apply broadly across social connections, indicating that emotional expressions can foster connections even among acquaintances [21][23] - It argues that diverse emotional expressions signal reliability and depth, which are crucial for maintaining long-term social relationships in a digital context [24][25] Group 5: Implications for Social Media Platforms - The findings suggest that social media platforms should consider the dynamics of attention capital and emotional engagement in their algorithms to promote user well-being and social connections [26]