10 Matching Annotations
  1. Feb 2022
  2. spin.atomicobject.com spin.atomicobject.com
    Development Tools: Better than Ever but Not as Good as They Could Be
    1
    1. mrcolbyrussell 27 Feb 2022
      No longer does anyone simply type in a few HTML tags into edit.com and FTP it onto the internet.
      developer tunnel vision echo chamber
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    spin.atomicobject.com/2022/02/25/complexity-development-tools/
  3. Sep 2021
  4. edu.gcfglobal.org edu.gcfglobal.org
    Digital Media Literacy: What is an Echo Chamber?
    1
    1. TylerRick 21 Sep 2021
      echo chamber
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    edu.gcfglobal.org/en/digital-media-literacy/what-is-an-echo-chamber/1/
  5. Jul 2021
  6. psyarxiv.com psyarxiv.com
    How Strong is the Association Between Social Media Use and False Consensus?
    1
    1. lucyparfitt16 08 Jul 2021

      Bunker, C. J., & Varnum, M. E. W. (2021). How Strong is the Association Between Social Media Use and False Consensus? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/eyjaq

      is:preprint lang:en social media behavioral science psychology attitude personality politics research false consensus social networking sites echo chamber
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    psyarxiv.com/eyjaq/
  7. Mar 2021
  8. www.theguardian.com www.theguardian.com
    Small number of Facebook users responsible for most Covid vaccine skepticism – report
    1
    1. Poppy_Schaffner 18 Mar 2021

      the Guardian. ‘Small Number of Facebook Users Responsible for Most Covid Vaccine Skepticism – Report’, 16 March 2021. http://www.theguardian.com/technology/2021/mar/15/facebook-study-covid-vaccine-skepticism.

      is:news lang:en COVID-19 pandemic facebook Vaccine vaccination vaccine development echo chamber effect skepticism content facebook content social media misinformation myths vaccine hesitant safe side effects safety law vaccine trials
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    theguardian.com/technology/2021/mar/15/facebook-study-covid-vaccine-skepticism
  9. Feb 2021
  10. link.aps.org link.aps.org
    Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases
    1
    1. marta_radosevic 25 Feb 2021

      Wang, X., Sirianni, A. D., Tang, S., Zheng, Z., & Fu, F. (2020). Public Discourse and Social Network Echo Chambers Driven by Socio-Cognitive Biases. Physical Review X, 10(4), 041042. https://doi.org/10.1103/PhysRevX.10.041042

      is:article lang:en public discourse social network echo chamber socio-cognitive bias political voter political advertisement campaign model social behavioral science polarization retweet
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    link.aps.org/doi/10.1103/PhysRevX.10.041042
  11. Aug 2020
  12. cyber.fsi.stanford.edu cyber.fsi.stanford.edu
    Virality Project (US): Marketing meets Misinformation
    1
    1. Danaeioak 25 Aug 2020

      University, © Stanford, Stanford, & Complaints, C. 94305 C. (n.d.). Virality Project (US): Marketing meets Misinformation. Retrieved 25 August 2020, from https://cyber.fsi.stanford.edu/io/news/manufacturing-influence-0

      is:news lang:en Virality Project marketing misinformation COVID-19 plandemic Judy Mikovits anti-vaccine social media debunking conspiracy theory echo-chamber USA pseudoscience viral misinformation fact-checking
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    cyber.fsi.stanford.edu/io/news/manufacturing-influence-0
  13. psyarxiv.com psyarxiv.com
    Troll and Divide: The Language of Online Polarization
    1
    1. Marlene_Wulf 04 Aug 2020

      Simchon, A., Brady, W. J., & Bavel, J. J. V. (2020). Troll and Divide: The Language of Online Polarization. https://doi.org/10.31234/osf.io/xjd64

      is:preprint lang:en echo chamber polarization social media troll COVID-19 Twitter language USA polarized retoric open-source tool communication left-wing right-wing online network dictionary
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    psyarxiv.com/xjd64/
  14. Jun 2020
  15. arxiv.org arxiv.org
    Echo Chambers on Social Media: A comparative analysis
    1
    1. edampf 05 Jun 2020

      Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020). Echo Chambers on Social Media: A comparative analysis. ArXiv:2004.09603 [Physics]. http://arxiv.org/abs/2004.09603

      is:preprint lang:en social media echo chamber belief misinformation shared narrative politics data analysis controversial topic interaction network Facebook Twitter Reddit Gab bias post online internet
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    arxiv.org/abs/2004.09603
  16. May 2020
  17. psyarxiv.com psyarxiv.com
    Cascades across networks are sufficient for the formation of echo chambers: An agent-based model
    1
    1. Marlene_Wulf 27 May 2020

      Fränken, J.-P., & Pilditch, T. (2020). Cascades across networks are sufficient for the formation of echo chambers: An agent-based model. https://doi.org/10.31234/osf.io/8rgkc

      is:preprint lang:en Bayesian modeling social network echo chamber information cascade misinformation social trend intolerance
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    psyarxiv.com/8rgkc/
  18. Oct 2018
  19. www.theatlantic.com www.theatlantic.com
    The Myth of ‘Dumbing Down’
    1
    1. wiobyrne 30 Oct 2018
      Like all experts, academics are used to speaking to a specialized audience. That’s true no matter their discipline, from sociology to geotechnical engineering to classics. When you speak to a niche audience among peers, a lot of understanding comes for free. You can use technical language, make presumptions about prior knowledge, and assume common goals or contexts. When speaking to a general audience, you can’t take those circumstances as a given.
      echo chamber filter bubble scholarship
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    theatlantic.com/science/archive/2018/10/scholars-shouldnt-fear-dumbing-down-public/573979/