Birdwatch Note
2023-04-30 01:34:51 UTC - MISINFORMED_OR_POTENTIALLY_MISLEADING
Credit scores are meant to protect institutions from poor lending individuals. It’s illegal to discriminate or build models based on race. Discrimination as a result comes from institutions and data limitations. https://www.fdic.gov/regulations/examinations/supervisory/insights/sisum05/sisummer05-article3.pdf https://hai.stanford.edu/news/how-flawed-data-aggravates-inequality-credit
Written by AF61FAFBD029A130CFC876BC187254C4CB7BB539FC7E9214FFF52B1A523EDCD0
Participant Details
Original Tweet
Tweet embedding is no longer reliably available, due to the platform's instability (in terms of both technology and policy). If the Tweet still exists, you can view it here: https://twitter.com/foo_bar/status/1652403269606469635
Please note, though, that you may need to have your own Twitter account to access that page. I am currently exploring options for archiving Tweet data in a post-API context.
All Information
- ID - 1652486642114936833
- noteId - 1652486642114936833
- participantId -
- noteAuthorParticipantId - AF61FAFBD029A130CFC876BC187254C4CB7BB539FC7E9214FFF52B1A523EDCD0 Participant Details
- createdAtMillis - 1682818491853
- tweetId - 1652403269606469635
- classification - MISINFORMED_OR_POTENTIALLY_MISLEADING
- believable -
- harmful -
- validationDifficulty -
- misleadingOther - 0
- misleadingFactualError - 0
- misleadingManipulatedMedia - 0
- misleadingOutdatedInformation - 0
- misleadingMissingImportantContext - 1
- misleadingUnverifiedClaimAsFact - 0
- misleadingSatire - 0
- notMisleadingOther - 0
- notMisleadingFactuallyCorrect - 0
- notMisleadingOutdatedButNotWhenWritten - 0
- notMisleadingClearlySatire - 0
- notMisleadingPersonalOpinion - 0
- trustworthySources - 1
- summary
- Credit scores are meant to protect institutions from poor lending individuals. It’s illegal to discriminate or build models based on race. Discrimination as a result comes from institutions and data limitations. https://www.fdic.gov/regulations/examinations/supervisory/insights/sisum05/sisummer05-article3.pdf https://hai.stanford.edu/news/how-flawed-data-aggravates-inequality-credit
Note Status History
| createdAt | timestampMillisOfFirstNonNMRStatus | firstNonNMRStatus | timestampMillisOfCurrentStatus | currentStatus | timestampMillisOfLatestNonNMRStatus | mostRecentNonNMRStatus | participantId |
| 2023-04-30 01:34:51 UTC (1682818491853) |
1969-12-31 23:59:59 UTC (-1) |
2023-05-06 02:42:24 UTC (1683340944665) |
NEEDS_MORE_RATINGS | 1969-12-31 23:59:59 UTC (-1) |
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