# caffeine-overload/bandinchina

Naming and shaming companies who kowtow to Chinese censorship requests

Repository: https://github.com/caffeine-overload/bandinchina
Canonical: https://ross.abutalabs.com/products/bandinchina
Language: HTML
License Family: other
Last push: 2021-03-08T11:07:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2521, "days_push": 2004, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1019, forks 50 (observed 2026-08-28T04:03:15.176709+00:00)

## What it is
A static website and curated list documenting Western companies that comply with Chinese censorship requests, alongside resources for supporting Hong Kong protests from abroad. It maintains a blacklist and whitelist of companies based on their stance toward CCP censorship demands.

## Use cases
- find companies that comply with Chinese censorship
- check if a brand kowtows to CCP censorship requests
- learn how to support Hong Kong protests from abroad
- find petitions and donations for Hong Kong
- research corporate self-censorship in China

## When to choose
- you want a community-curated list of companies appeasing Chinese censorship
- you need activism resources for supporting Hong Kong from overseas

## When to avoid
- you need neutral, rigorously sourced data on corporate censorship
- you need actively maintained, up-to-date information (last release 2021)
- you need software tooling rather than informational lists

## Facets
- artifact type: dataset
- maturity: maintenance
- function: documentation, search-engine
- domain: censorship-circumvention, privacy, social-media, awesome-lists
- platform: browser
- tags: censorship, hong-kong, boycott-list, corporate-accountability, china, activism, static-site, web-server

## Member repositories
- caffeine-overload/bandinchina (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:15.176709+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:09:22.041959+00:00, confidence not recorded.
  - readme: https://github.com/caffeine-overload/bandinchina (fetched 2026-08-28T04:03:15.176709+00:00, sha cd6eb2fd28e2)
- Data as of 2026-08-30T08:39:29.467469+00:00.