101 Matching Annotations
  1. Jul 2022
  2. Apr 2022
    1. Nick Sawyer, MD, MBA, FACEP [@NickSawyerMD]. (2022, January 3). The anti-vaccine community created a manipulated version of VARES that misrepresents the VAERS data. #disinformationdoctors use this data to falsely claim that vaccines CAUSE bad outcomes, when the relationship is only CORRELATED. Watch this explainer: Https://youtu.be/VMUQSMFGBDo https://t.co/ruRY6E6blB [Tweet]. Twitter. https://twitter.com/NickSawyerMD/status/1477806470192197633

    1. Dr Greg Kelly. (2021, July 2). As a pediatrician I’m going on record saying that allowing kids to be freely infected with a novel disease that has unknown long term consequences is the worst idea of 2021 despite being a pretty crowded field so far #COVID19 [Tweet]. @drgregkelly. https://twitter.com/drgregkelly/status/1411083905034117120

    1. Marc Lipsitch. (2021, July 20). At the risk of boiling down too much and certainly losing some detail, one way to summarize this wonderful thread is that when we think about vaccine effectiveness, we should think of 4 key variables: 1 which vaccine, 2 age of the person, 3 how long after vax, 4 vs what outcome. [Tweet]. @mlipsitch. https://twitter.com/mlipsitch/status/1417595538632060931

  3. Mar 2022
  4. Feb 2022
    1. Heesakkers, H., van der Hoeven, J. G., Corsten, S., Janssen, I., Ewalds, E., Simons, K. S., Westerhof, B., Rettig, T. C. D., Jacobs, C., van Santen, S., Slooter, A. J. C., van der Woude, M. C. E., van den Boogaard, M., & Zegers, M. (2022). Clinical Outcomes Among Patients With 1-Year Survival Following Intensive Care Unit Treatment for COVID-19. JAMA, 327(6), 559–565. https://doi.org/10.1001/jama.2022.0040

    1. Over the last few weeks, posters have used adaptations of the slogan. There was #BidenCrimeFamilly, #BidenCrimeFamilyExposed, #BidenCrimeSyndicate.On Election Day, 17,000 people were posting about #BidenCrimeFamily on Facebook. On Twitter at midday, the slogan was being tweeted 3,500 times an hour.
    2. Even though Parler or Gab did not censor the original hashtag, people posted the “ii” version of the hashtag there, too. Like all great memes, those who are in the know get it, while others assume it’s a dumb mistake.
    3. While users could still tweet the hashtag #BidenCrimeFamily, Twitter stopped showing any results if the hashtag was clicked or searched. This strategy, called de-indexing, is a step short of censorship, and can be a powerful tool in reducing a hashtag’s ability to spread specific disinformation and to become a rallying place for coordinating action. Twitter did not respond to questions about this action.
    4. Marjorie Greene, a QAnon believer who was running for the House (and won on Tuesday), shared the hashtag and a meme on her Instagram account. Oct. 23 Giuliani used the phrase in an interview with the popular conservative radio host Dan Bongino, among others. All the while, Giuliani continued to tweet. Oct. 29 Fox Business host Lou Dobbs tweeted “Biden crime family” to promote an interview with Giuliani.
    5. On Oct. 16, The Daily Beast reported that these Himalaya accounts were a connected network affiliated with Mr. Bannon. Twitter confirmed to Foreign Policy magazine that it had taken down a network of connected accounts pushing Hunter Biden disinformation.
    6. Many of these accounts are now suspended.
    7. People began tweeting #BidenCrimeFamily, accusing Twitter of censorship, and in some cases linking to another news site, GNews, that had also been pushing Hunter Biden disinformation.
    8. As the Biden campaign picked up steam, the slogan started showing up more in the spring and summer of 2020 on talk radio and social media.
    9. On Wednesday afternoon, with the presidential race unresolved, a protester in Nevada interrupted an election official’s news conference by yelling, “The Biden crime family is stealing the election!”

      An outcome based on information further down in the article.

  5. Jan 2022
  6. Dec 2021
  7. Nov 2021
  8. Oct 2021
  9. Aug 2021
  10. Jun 2021
  11. May 2021
    1. ReconfigBehSci on Twitter: ‘@JAndreen @ErikAngner details about human contact networks matter, as epidemiologists pointed out last spring. Https://t.co/DC5FoW5ChY If you think I am wrong about the relevant parameters for Sweden, I’d love to hear more. One place to start is saying how it differs from other Nordic countries’ / Twitter. (n.d.). Retrieved 21 February 2021, from https://twitter.com/SciBeh/status/1362757183121854466

  12. Apr 2021
  13. Mar 2021
    1. Gupta, R. K., Marks, M., Samuels, T. H. A., Luintel, A., Rampling, T., Chowdhury, H., Quartagno, M., Nair, A., Lipman, M., Abubakar, I., Smeden, M. van, Wong, W. K., Williams, B., & Noursadeghi, M. (2020). Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study. MedRxiv, 2020.07.24.20149815. https://doi.org/10.1101/2020.07.24.20149815

  14. Feb 2021
    1. Using a terminus to indicate a certain outcome - in turn - allows for much stronger interfaces across nested activities and less guessing! For example, in the new endpoint gem, the not_found terminus is then wired to a special “404 track” that handles the case of “model not found”. The beautiful thing here is: there is no guessing by inspecting ctx[:model] or the like - the not_found end has only one meaning!
    2. A major improvement here is the ability to maintain more than two explicit termini. In 2.0, you had the success and the failure termini (or “ends” as we used to call them). Now, additional ends such as not_found can be leveraged to communicate a non-binary outcome of your activity or operation.
    1. Over the last few weeks, posters have used adaptations of the slogan. There was #BidenCrimeFamilly, #BidenCrimeFamilyExposed, #BidenCrimeSyndicate.On Election Day, 17,000 people were posting about #BidenCrimeFamily on Facebook. On Twitter at midday, the slogan was being tweeted 3,500 times an hour.
    2. Instagram, starting on Oct. 29, suppressed all recent results for every hashtag, showing only a few top posts rather than everything, which had the effect of slowing the spread of #BidenCrimeFamily in the final days of the election.
    3. While users could still tweet the hashtag #BidenCrimeFamily, Twitter stopped showing any results if the hashtag was clicked or searched. This strategy, called de-indexing, is a step short of censorship, and can be a powerful tool in reducing a hashtag’s ability to spread specific disinformation and to become a rallying place for coordinating action. Twitter did not respond to questions about this action.
    4. The asymmetry of attention mirrored that of the Hunter Biden laptop story; while the far-right press was copiously covering it, mainstream news publications were much more careful, largely because most newsrooms were not given access to the documents. The few that were, like The Wall Street Journal, concluded the material wasn’t all that significant.
    5. This effort became more urgent when Twitter took the rare step that day of blocking posts with the link to the Post article, explaining that it contained private information and hacked documents, which the company said violated its policies. (Twitter later reversed its decision.) People began tweeting #BidenCrimeFamily, accusing Twitter of censorship, and in some cases linking to another news site, GNews, that had also been pushing Hunter Biden disinformation.
    6. By Monday, there were 21,000 “parleys,” or posts, using the term. It went viral on Gab, another fringe social network popular among the right, and was mentioned on 4chan’s “Politically Incorrect” board (a haven for far-right activists), Facebook, Reddit and thedonald.win, a popular former subreddit that got kicked off Reddit.
    7. People sharing the Post article used the hashtag to collate all the information across social media platforms.
    8. It’s effective because it’s simple. The hashtag took a complicated issue with legitimate questions about Hunter Biden’s business dealings with Ukraine and China — and reduced it to a slogan that could also be used to spread falsehoods about Joe Biden. (An election-year investigation by Senate Republicans found no evidence of improper influence or wrongdoing by Mr. Biden.)
    9. The asymmetry of attention mirrored that of the Hunter Biden laptop story; while the far-right press was copiously covering it, mainstream news publications were much more careful, largely because most newsrooms were not given access to the documents.

      outcome

    10. People sharing the Post article used the hashtag to collate all the information across social media platforms.

      outcome

    1. Nogués, X., Ovejero, D., Quesada-Gomez, J. M., Bouillon, R., Arenas, D., Pascual, J., Villar-Garcia, J., Rial, A., Gimenez-Argente, C., Cos, M. L., Rodriguez-Morera, J., Campodarve, I., Guerri-Fernandez, R., Pineda-Moncusí, M., & García-Giralt, N. (2021). Calcifediol Treatment and COVID-19-Related Outcomes (SSRN Scholarly Paper ID 3771318). Social Science Research Network. https://doi.org/10.2139/ssrn.3771318

  15. Nov 2020
  16. Oct 2020
  17. Sep 2020
  18. Aug 2020
    1. Lozano, R., Fullman, N., Mumford, J. E., Knight, M., Barthelemy, C. M., Abbafati, C., Abbastabar, H., Abd-Allah, F., Abdollahi, M., Abedi, A., Abolhassani, H., Abosetugn, A. E., Abreu, L. G., Abrigo, M. R. M., Haimed, A. K. A., Abushouk, A. I., Adabi, M., Adebayo, O. M., Adekanmbi, V., … Murray, C. J. L. (2020). Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30750-9

  19. Jul 2020
  20. Jun 2020
    1. Marshall, J. C., Murthy, S., Diaz, J., Adhikari, N., Angus, D. C., Arabi, Y. M., Baillie, K., Bauer, M., Berry, S., Blackwood, B., Bonten, M., Bozza, F., Brunkhorst, F., Cheng, A., Clarke, M., Dat, V. Q., de Jong, M., Denholm, J., Derde, L., … Zhang, J. (2020). A minimal common outcome measure set for COVID-19 clinical research. The Lancet Infectious Diseases, S1473309920304837. https://doi.org/10.1016/S1473-3099(20)30483-7

  21. May 2020
  22. Apr 2020
    1. Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., Datta, D., Davidson, T., Filippova, A., Gilroy, C., Goode, B. J., Jahani, E., Kashyap, R., Kirchner, A., McKay, S., … McLanahan, S. (2020). Measuring the predictability of life outcomes with a scientific mass collaboration. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1915006117

  23. Oct 2018
    1. We will solve large analytical problems by turning computer power loose on the hard data of the Semantic Web.

      The idea of turning something loose has the connotation that it is no longer under our control and can therefore have unpredictable outcomes. To a degree, no one can really predict what would happen if we reprogrammed the web in this new way.

    1. Rape myths reinforce false beliefs about the definition of rape, who the victims of rape are, and how to prevent rape from occurring

      After effects of rape myth acceptance

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  24. Sep 2017