Birdwatch Note
2023-01-08 04:51:51 UTC - MISINFORMED_OR_POTENTIALLY_MISLEADING
Racial bias remains one of facial recognition systems’ key concerns. Although facial recognition algorithms ensure classification accuracy of over 90%, these results are not universal. https://learn.g2.com/ethics-of-facial-recognition?hs_amp=true
Written by FFFE35ABDBC2736D35EF501CA5F5E07BC46C67E5B124EF94A4434CB57BBDAA42
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/1611545336832557056
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All Information
- ID - 1611948777610280961
- noteId - 1611948777610280961
- participantId - FFFE35ABDBC2736D35EF501CA5F5E07BC46C67E5B124EF94A4434CB57BBDAA42
- noteAuthorParticipantId -
- createdAtMillis - 1673153511801
- tweetId - 1611545336832557056
- 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
- Racial bias remains one of facial recognition systems’ key concerns. Although facial recognition algorithms ensure classification accuracy of over 90%, these results are not universal. https://learn.g2.com/ethics-of-facial-recognition?hs_amp=true
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2023-01-08 05:47:53 -0600 | 2F1E148E62276FF995A4480A9B87C1F2CAAFC522D4E432927F446677D1ACD5FE | Rating Details |
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