In the smash or pass topic, the image of minors is an absolute forbidden zone. More than 90% of the content policies of social media platforms (such as TikTok Community Code 16 and Instagram Rule 2.3) explicitly prohibit the dissemination of any rating content involving individuals under the age of 18. The accuracy rate of identifying non-compliant content is approximately 92%. The EU DSA Act classifies such behavior as a “serious violation” (with penalties up to 6% of annual revenue). The 2023 case database of the Canadian Child Protection Centre shows that screenshots of smash or pass involving student groups spread 1.4 times more frequently than ordinary school bullying content. It was confirmed to directly lead to a 31.7% increase in the absenescence rate of victims (sample N=47 schools).
Scoring involving the deceased or the victims challenges the ethical bottom line. Attempt to conduct smash or pass tests on victims of historical disasters (such as photos of the 9/11 victims) or recent accident casualties, triggering an emergency delisting rate of nearly 100% on the platform (median response time <15 minutes). Article 189 of the German Criminal Code clearly stipulates the crime of “defaming the reputation of the deceased”. In the 2024 Munich District Court case (Case No. 5O 2337/24), a user was sentenced to a fine of €8,500 and 120 hours of community service for uploading composite images of concentration camp victims to participate in the rating. The average interception accuracy of the platform algorithm for such images reaches 87%.
The scoring of specific religious and ethnic cultural symbols constitutes systematic offense. The offensive nature of rating religious relics (such as Muslim Hijab, Sikh Dastaar) or clergy images (such as Christian priest robes, Buddhist monks) in smash or pass has been quantified by empirical research: The peak intensity of anger emotion induced in the corresponding belief group exceeded the normal value by 280% (EMG electromyography test data). 5%.
The secondary dissemination of real-world images of violence and crime challenges the law. Using crime scene images (such as screenshots of shooting surveillance) or photos of victims’ injuries (such as judicial evidence of domestic violence) for smash or pass scoring may violate the Cybercrime Investigation Assistance Act (such as U.S. 18 U.S.C. § 2252A). In January 2024, the London Police in the UK reported that after photos of a gang murder scene were spread in a rating game, the probability of key witnesses facing threats in the case increased by 40%, and the impact on criminal investigations reached 17%. The Recall rate of the violent image recognition model (CV model v5) adopted by the platform for such images is 91.2%, but the residual false negative rate of 8.8% still poses a public risk.
The entertainment of close-ups of serious diseases or disabilities intensifies stereotypes. smash or pass tests for patients with visible conditions (such as severe burns, progressive muscle atrophy) directly trigger anti-discrimination regulations (such as Chapter III of the U.S. ADA Act). The Lancet, a medical ethics journal, reported in 2024 that such content deteriorated the social media inferiority Scale (SIS Scale) score of the disabled community by 12.8 points (normal fluctuation ±3 points). A well-known leukemia blogger (@cancerfighter) disclosed that after his treatment period photos were uploaded for rating (with an average score of 19%), the density of aggressive private messages he received reached an average of 42 per day (baseline value <1). Subsequently, the platform added a pathological feature filter word library and expanded it to 700 items.
Political figures and controversial historical figures ignite the conflict index. Election laws in many countries (such as Section 110.11 of the FEC Regulation in the United States) restrict the use of candidate images for commercial and entertainment purposes. During the 2024 Egyptian presidential election, after the candidate smash or pass video was shared over one million times, it triggered a sharp increase in social opposition (the correlation coefficient r of posts in opposition communities was 0.83), forcing the platform to activate emergency circuit breaker (with a coverage rate of 98%). Historical figures (such as Hitler’s portrait) scoring tests are more likely to incites hatred. Conviction cases under Section 130 of the German Criminal Code show that the reporting rate of hate crimes within 24 hours of the dissemination of such content has increased by 8.3 percentage points.
The abuse of intimate and private images crosses the highest privacy red line. Using someone else’s private photos (such as intimate selfies taken by couples) without permission for smash or pass ratings directly constitutes a requirement of the Revenge Porn Act (such as Section 647j4 of California PC), with a median civil compensation of $120,000. Data from the Private Image Security Alliance (IWF) in 2023 confirmed that the success rate of tracing back to the original leaker from the rating game was only 15,300 yuan, and the platform’s content Hash value (Hash) matching system’s interception efficiency for private images was only 79.3% (the average survival time of leaked images was 17 hours).
The developer backend data indicates that the content review cost of compliant smash or pass accounts for 23% of the operating budget, and the error rate needs to be continuously reduced to below 11% (ISO 27001 security standard). When the test materials involve the identities of victims in judicial cases (such as the Stockholm terrorist attack in Sweden), the system automatically matches the facial coordinates (pixel block X:120-400, Y:230-550) in real time with the police blockade list (response delay <300ms). Images with a reach rate of 99.97% are forcibly isolated into an encrypted sandbox (AES-256 standard), effectively blocking ethical collapse from the root.