Birdwatch Archive

Birdwatch Note

2022-01-08 18:31:47 UTC - MISINFORMED_OR_POTENTIALLY_MISLEADING

Per the CDC's and NIH's peer reviewed research, cloth masks can block 51% of COVID-19 droplets when exhaled from a person. N95, KN95 (99%) and medical masks (59%) do work better than cloth masks though. https://www.factcheck.org/2021/03/scicheck-the-evolving-science-of-face-masks-and-covid-19/

Written by 9795BF8962792425EFA8D2F4F92685B4
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/1479138371616321542

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 - 1479883547225767942
  • noteId - 1479883547225767942
  • participantId - 9795BF8962792425EFA8D2F4F92685B4
  • noteAuthorParticipantId -
  • createdAtMillis - 1641666707224
  • tweetId - 1479138371616321542
  • classification - MISINFORMED_OR_POTENTIALLY_MISLEADING
  • believable - BELIEVABLE_BY_MANY
  • harmful - CONSIDERABLE_HARM
  • validationDifficulty - EASY
  • misleadingOther - 0
  • misleadingFactualError - 0
  • misleadingManipulatedMedia - 0
  • misleadingOutdatedInformation - 0
  • misleadingMissingImportantContext - 1
  • misleadingUnverifiedClaimAsFact - 1
  • misleadingSatire - 0
  • notMisleadingOther - 0
  • notMisleadingFactuallyCorrect - 0
  • notMisleadingOutdatedButNotWhenWritten - 0
  • notMisleadingClearlySatire - 0
  • notMisleadingPersonalOpinion - 0
  • trustworthySources - 1
  • summary
    • Per the CDC's and NIH's peer reviewed research, cloth masks can block 51% of COVID-19 droplets when exhaled from a person. N95, KN95 (99%) and medical masks (59%) do work better than cloth masks though. https://www.factcheck.org/2021/03/scicheck-the-evolving-science-of-face-masks-and-covid-19/

Note Status History

createdAt timestampMillisOfFirstNonNMRStatus firstNonNMRStatus timestampMillisOfCurrentStatus currentStatus timestampMillisOfLatestNonNMRStatus mostRecentNonNMRStatus participantId
2022-01-08 18:31:47 UTC
(1641666707224)
1969-12-31 23:59:59 UTC
(-1)
1969-12-31 23:59:59 UTC
(-1)
1969-12-31 23:59:59 UTC
(-1)
9795BF8962792425EFA8D2F4F92685B4
2022-01-08 18:31:47 UTC
(1641666707224)
1969-12-31 23:59:59 UTC
(-1)
1969-12-31 23:59:59 UTC
(-1)
1969-12-31 23:59:59 UTC
(-1)
47AD3BD4ED0E64C9EA74DB3A322FA6AA5E5F8D84E57A6E405CC624F53C571EC8

Note Ratings

rated at rated by
2022-01-09 10:28:13 -0600 39DBF1CC7F85DF403E9C5D847B2CC7E8D743AD5CA7CEAE60B2EC1F21E22E7380 Rating Details
2022-01-08 20:22:57 -0600 A30E23B01F927C4387616E33DE422C96B4F9A9B45B8ACA619267391F3D77B5A8 Rating Details
2022-01-08 21:30:19 -0600 B647854913C4256435719C5AD2D2C086D40E35986C694DB108FE57210F1419C0 Rating Details
2022-01-09 10:28:13 -0600 Rating Details
2022-01-08 21:30:19 -0600 Rating Details
2022-01-08 20:22:57 -0600 Rating Details