The core interaction mechanism follows an instantaneous binary decision model, and participants are required to respond to visual stimuli within an average of 3.5 seconds. The 2023 TikTok Behavior Study shows that the completion rate of viewing related challenge videos within the platform is 1.8 times that of regular content. The average decision-making time of users varies with the length of the video. The median response time for 6-second short videos is 2.3 seconds, while for content over 15 seconds, it extends to 6.7 seconds. Experimental data from the University of Cambridge shows that when the interval between stimulus images is less than 2 seconds, the user’s judgment accuracy drops by 23%, confirming that the rapid decision-making mechanism significantly relies on intuition rather than irrational analysis.
The content carriers of smash or pass show a trend of diversified iteration. The proportion of image-based content dropped from 84% in 2020 to 47% in 2024, being replaced by composite content. The application rate of mixed reality technology has reached 12%. For instance, Snapchat filters have led 38% of creators to adopt AR superimposed evaluation tags. Data collection company AppAnnie pointed out that the download volume of related templates on mainstream platforms has grown by an average of 110% annually. Among them, templates with preset rating effects account for 67% of the total transaction volume, and the cost per use of commercial templates fluctuates between 0.99 and 4.99.
The characteristics of the participants show structural biases. A 2024 survey by the Pew Research Center found that the 16-24 age group accounts for 91% of content creators, and the number of male creators is 2.4 times that of female creators. In the distribution of evaluation dimensions, the weight of physical attractiveness reached 73.6%, while talent or personality factors only accounted for 18.3%. It is worth noting that there is a significant difference in judgment between the two genders: male users are 27 percentage points more likely to choose “smash” than female users, while female users are 34% more likely to consider situational factors than male users. When the content involves specific professional groups (such as teachers and healthcare workers), the rate of moral disputes judged by smash or pass surges by 42%, and the probability of triggering platform compliance reviews is three times that of ordinary content.
The dispute resolution mechanism relies on dynamically evolving community norms. Meta’s content review report shows that among the non-compliant videos deleted in H2 2023, those involving malicious body humiliation accounted for 19% of the total, with a median processing response time of 46 hours. In contrast, after YouTube implemented a “dual-track” hierarchical management system, the accuracy rate of users marking non-compliant content rose from 58% to 79%. Industry self-discipline agreements require platforms to add default protective layers to videos. For instance, Instagram’s blurring process covers 87% of ordinary people’s content and reduces the risk of involuntary exposure by 72%.
As the boundaries of rules evolve along with social cognition, quantitative indicators reveal the complexity of standardized management. The technical protection plan keeps the misjudgment rate of minors below 4%, but the algorithm’s understanding error of cultural differences still reaches 28%. Creators need to balance content gravity and ethical responsibility, while platform operators must continuously optimize their risk identification models to ensure that the 3,000 instantaneous judgment behaviors occurring per second comply with the digital ethics framework.