Xiaoying You reports that PhD student-turned-vlogger Geng Hongwei helped trigger investigations after flagging anomalies in Nature journals, and senior Chinese academics at prestigious universities have since been disciplined (see Nature https://doi.org/10.1038/d41586-026-01902-0). This should not be read as proof that post-publication crowdsourcing is enough. It shows that safeguards failed before the public became the detector of last resort.
The pattern is revealing. University notices describe image misuse, data-handling defects, misconduct or lapses in rigour after checking raw records and interviewing researchers. First authors often receive the heaviest penalties; corresponding authors are sanctioned chiefly for failed oversight. That division is too narrow. Senior corresponding authors gain grants, titles, students and authority from high-profile papers. They should also bear explicit responsibility for data provenance, archiving, author contributions and laboratory governance.
China already has many rules defining falsified data and images, improper authorship and deception in awards, grants and positions as misconduct. The deficit is not vocabulary but verification. Publicly funded work should require traceable preservation of raw images, source data, code, protocols and records, subject to random audits and independent checks. Serious misconduct should automatically trigger coordinated review of linked publications, grants, awards, promotions and titled appointments.
Citizen sleuths, students and online volunteers can expose failures, but they cannot be the infrastructure of scientific integrity. A system that rewards elite-journal papers and academic titles while detecting misconduct only after scandals has made prestige outrun responsibility. Integrity will become credible only when institutions find problems before virality does, and when risks rise with rewards.