65 Matching Annotations
  1. Dec 2022
    1. Multiple initiatives have tried to make various kinds of social recommendations by issuingcredentials. However, up to this point they have worked better in closed social networks rather thanas open credentials due to the ability of social networks to tie a recommendation with the profile(and identity) of the recommender. There are also several nascent initiatives to create open linkeddata around which skills, credentials and issuers are valued by employers.

      Clearly, the LinkedIn recommendations use case is an example of one of these initiatives. It has not succeeded in creating strong social signals anchored in trust models. We are wise to consider what's missing from efforts like this. An even greater concern however, and one that I believe is an essential if we are to realize the transformative potential of digital credentials, is how to design social signals built on trust models that help all people. In a world long-governed by "it's not what you know, it's who you know," the social signals and trust models are overweighted in favor of people with connections to other people, organizations and brands that are all to some degree legacies of exclusionary and inequitable systems. We are likely to build new systems that perpetuate the same problems if we do not intentionally design them to function otherwise. For people (especially those from historically underserved populations) worthy of the recommendations but lacking in social connections, how do they access social recommendations built on trust models?

  2. Aug 2022
  3. Jun 2022
    1. few other large platforms unwittingly dissolved the mortar of trust, belief in institutions, and shared stories that had held a large and diverse secular democracy together.
  4. Apr 2022
  5. Feb 2022
  6. Jan 2022
  7. Dec 2021
  8. Nov 2021
  9. Oct 2021
  10. Sep 2021
  11. Aug 2021
  12. Jul 2021
  13. Jun 2021
  14. May 2021
  15. Mar 2021
  16. Feb 2021
    1. We’ve always used the term ‘social networking’ to refer to the process of finding and connecting with those people. And that process has always depended on a fabric of trust woven most easily in the context of local communities and face-to-face interaction.

      Too much of modern social networking suffers from this fabric of trust and rampant context collapse. How can we improve on these looking forward?

  17. Sep 2020
  18. Aug 2020
  19. Jul 2020
  20. Jun 2020
  21. May 2020
  22. Apr 2020
  23. Jan 2019
  24. www.at-the-intersection.com www.at-the-intersection.com
    1. Twitter is my go to and people post a news articles from like ccn from what does it coined, ask a bunch of these crypto news things and they're great. Uh, you know, I take them with a grain of salt because whatever, there's a lot of like fake news.
    2. Um, three commas had been tested by another people that I guess I was kind of following the social proof justification that enough people were in it so that made me more confident in using it.
    1. Our extensions also have implications for theories ontrust.

      Bookmarked section for later consideration of proposal studies on how time interacts with trust in time- and safety-critical social coordination.

    2. Whenemergent response groups first come together, membersare likely not to ask one another about who knows what;instead, they are likely to ask about what is knownabout the situation and about the actions taken thus far(Dyer and Shafer 2003, Hale et al. 2005). The cogni-tive structure that they develop for the group centersnot around people, but on action-based scenarios thateither have been or might be carried out. These scenariosinclude decisions, actions, knowledge, events, and feed-back (Vera and Crossan 2005).

      Suggested extensions for TMS theory:

      "1. Tailor the Role of Expertise"

      "2. "Replacing Credibility in Expertise with Trust Through Action"

      "3. "Coordinating Knowledge Processes Without a Shared Metastructure"

  25. Oct 2015
    1. This research shows there are low- and high-trust regions of the United States. Nevada is a very low-trust region. (Nobody seems to be very surprised by that.) Minnesota is a very high-trust region. The Deep South is a very low-trust region. We see similar disparities internationally. In Brazil, two percent of people say they trust other people. In Norway, 65 percent say they trust other people. So what are the characteristics of low-trust regions? Few people vote, parents and schools are less active. There’s less philanthropy in low-trust regions, greater crime of all kinds, lower longevity, worse health, lower academic achievement in schools.
    2. Interestingly, the investors’ expectations about the back-transfer from the trustee did not differ between the oxytocin and placebo recipients. Oxytocin increased the participants’ willingness to trust others, but it did not make them more optimistic about another person’s trustworthiness.

      The Trust Game; however, there was no difference in groups when the trustee was a computer, showing oxytocin affects social connections but not risk-behavior itself.

  26. May 2015
    1. I’m intrigued by the notion that social networks could eventually replace our currency. If economic growth lives up to the hype, we’ll all live like the rich someday, so why not print our own money, too?

      I've often thought that my ideal currency would actually be a multitude of currencies, each person minting their own (or even multiple), but I don't see at all what this has to do especially with art.

      I think the point being made is that art has valued tied to the reputation of the artist. Mostly true, perhaps, but probably not unique to art. Credit scores seem not dissimilar except that individuals aren't lenders. Familiar social dynamics like "friendship" and "trust" might capture what we're talking about, though.