67 Matching Annotations
  1. Last 7 days
    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

  2. 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. 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

    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

  3. Nov 2020
  4. Oct 2020
  5. Sep 2020
  6. 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

  7. Jul 2020
  8. 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

  9. May 2020
  10. 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

  11. 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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  12. Sep 2017