Birdwatch Archive

Birdwatch Note

2023-11-28 19:39:47 UTC - MISINFORMED_OR_POTENTIALLY_MISLEADING

According to WSJ, Instagram’s algorithm is picking up and adapting to influence from burner accounts. So far there is no direct evidence that big brands directly contributed to this. https://finance.yahoo.com/video/wsj-report-uncovers-dark-content-175936337.html

Written by 97D9E422928DCA30E88BCD49AE79124C07B917D3C21A0FCD602ACF967AE74B00
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/1729366283370512685

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 - 1729585899338445109
  • noteId - 1729585899338445109
  • participantId -
  • noteAuthorParticipantId - 97D9E422928DCA30E88BCD49AE79124C07B917D3C21A0FCD602ACF967AE74B00 Participant Details
  • createdAtMillis - 1701200387213
  • tweetId - 1729366283370512685
  • 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
    • According to WSJ, Instagram’s algorithm is picking up and adapting to influence from burner accounts. So far there is no direct evidence that big brands directly contributed to this. https://finance.yahoo.com/video/wsj-report-uncovers-dark-content-175936337.html

Note Status History

createdAt timestampMillisOfFirstNonNMRStatus firstNonNMRStatus timestampMillisOfCurrentStatus currentStatus timestampMillisOfLatestNonNMRStatus mostRecentNonNMRStatus participantId
2023-11-28 19:39:47 UTC
(1701200387213)
1969-12-31 23:59:59 UTC
(-1)
2023-11-29 04:14:16 UTC
(1701231256233)
NEEDS_MORE_RATINGS 1969-12-31 23:59:59 UTC
(-1)

Note Ratings

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