Labeler: K-Pop Biases Labeler (did:plc:rbctlz4hezljrjjgqjhm7svp)

K-Pop Biases Labeler
did:plc:rbctlz4hezljrjjgqjhm7svp

Declared declared

accessible

high

third_party

2026-02-24T21:08:23.079166Z

2026-02-24T23:19:15.524275Z

327

327

uri	count
did:plc:ksp3ypmxcw5vsmnqmc7mcxfb	33
did:plc:7242x25pllhadl3lrskxfnfq	27
did:plc:nbowqgfrfiryofmmfjn53av5	21
did:plc:idkcca3vmrxlpdwzyzmeexgu	20
did:plc:mtunqyectttyzowfa5wfy5iz	19
did:plc:uunh7msik24ftoyt5niuloq6	18
did:plc:stmts7dbywpactnvj2gzz3as	17
did:plc:prl3qleushuigtbe6hmnvlbs	14
did:plc:5zmnhqlectis4gsqqe3zgezj	13
did:plc:55beegaxthan4ivhswamh4f2	13

ts	status	http	latency
2026-02-24T23:19:15.524275Z	accessible	200	211ms
2026-02-24T22:59:18.468446Z	accessible	200	240ms
2026-02-24T22:49:22.672273Z	accessible	200	143ms

Behavioral observation only. No content analysis, user profiling, or brute-force enumeration beyond declared/observed/protocol surfaces.
Rules detect geometric patterns (rate anomalies, target distribution, churn). Thresholds are configurable.
Every alert includes a receipted hash over rule_id, config, inputs, and evidence for reproducibility.
Sparklines show hourly event counts over 7 days. Badges summarize which rules fired in the period.
Observation surface: label events from com.atproto.label.queryLabels and labeler declarations from com.atproto.sync.listReposByCollection. Does not observe content, profiles, or social graph.
Classification is based on structured evidence from multiple surfaces (registry declaration, DID document, endpoint probing, observed label activity). Each labeler page includes a "Why classified this way" expander with full evidence.

Top targets (7d)