SocialLearning

knowledge flows at the speed of trust

by

Transparency

Businesses that are open, transparent, and cooperative are more resilient because they rely on people, not processes. In a transparent organization there is no way to game the system as an individual. A transparent business focuses on long-term value, not short-term profit. It can also foster innovation, as diverse ideas come to the fore when people openly share their ideas. Workers become a social network, cooperating in order to make the organization better.

Knowledge networks are similar. They function well when they are 1) based on openness, which 2) enables transparency, and 3) in turn fosters diversity — all of which reinforce the basic principle of openness. In such a transparent workplace, the role of management is to give workers a job worth doing, the tools to do it, recognition of a job well done, and then let them manage themselves.

Read more

the power of social learning

by

On 26 January I will be presenting on — The Power of Social Learning: Building Knowledge, Community, and Trust — hosted by Valamis LXP. Several questions have already been submitted by some of the over 150 participants registered so far and I will not have time to address most of these. Instead, I will try to answer these here — by topic — though they mostly do not directly reflect the content of the presentation. Some of these questions would require much more contextual understanding to give an adequate response and others could make for a month-long consulting assignment.

Read more

creativity needs just enough social connections

by

During this pandemic and various lockdowns  there have been many discussions about the need for physical contact and how it supports creativity.

The writer and scientist, Isaac Asimov, reflected on — How do people get new ideas? — after a short stint at an MIT spinoff company in 1959. New ideas are not often received well by those in positions or power or influence Asimov noted.

It is only afterward that a new idea seems reasonable. To begin with, it usually seems unreasonable. It seems the height of unreason to suppose the earth was round instead of flat, or that it moved instead of the sun, or that objects required a force to stop them when in motion, instead of a force to keep them moving, and so on.

A person willing to fly in the face of reason, authority, and common sense must be a person of considerable self-assurance. Since he occurs only rarely, he must seem eccentric (in at least that respect) to the rest of us. A person eccentric in one respect is often eccentric in others.

Consequently, the person who is most likely to get new ideas is a person of good background in the field of interest and one who is unconventional in his habits. (To be a crackpot is not, however, enough in itself.)

Once you have the people you want, the next question is: Do you want to bring them together so that they may discuss the problem mutually, or should you inform each of the problem and allow them to work in isolation?

My feeling is that as far as creativity is concerned, isolation is required. The creative person is, in any case, continually working at it. His mind is shuffling his information at all times, even when he is not conscious of it. (The famous example of Kekule working out the structure of benzene in his sleep is well-known.)

The presence of others can only inhibit this process, since creation is embarrassing. For every new good idea you have, there are a hundred, ten thousand foolish ones, which you naturally do not care to display.

Asimov felt that isolation is required for creativity.

Read more

algorithmic amplification

by

What is the impact of constant misinformation on consumer social media? Dave Troy discusses the effects in a long Twitter thread:

“Disinformation is the operational end of a process designed to break down society and radicalize it into cultish forms. This process leads people away from truth. We can’t address this process by distributing truth; the cure for disinformation is not simply truth … Truth is, rather, a goal we must arrive at … We need to turn our attention to what is being lost: social ties, social trust, social capital … We don’t look enough at the relationship between identity, in-group, and belief. They are all reflections of the same thing and you can’t alter one without altering the others. This is why injecting garbage breaks down social ties and alters belief and identity. Sufficiently radicalized, people won’t recover their prior social connections, leaving them stranded on ‘islands of dissensus’. There is no natural pathway back from this. It’s a one way process. Throwing truth at them doesn’t restore lost social/family ties; it alienates them.” —Dave Troy

Twitter recently revealed — Examining algorithmic amplification of political content on Twitter — that its algorithm that decides what you see in your stream can have a social and political impact.

Read more

the social sweet spot

by

Continued from — social learning powers distributed work.

Social learning is about people in trusted relationships sharing and building collective knowledge. It is part of our common evolutionarily developed ‘social suite’.

In Blueprint: The Evolutionary Origins of A Good Society, Nicholas Christakis argues that this coevolution has equipped us with a “social suite” of traits that arose through genetic evolution and that have been amplified by cultural evolution, which has in turn influenced our genetic evolution toward propensities that support the social suite. These include the “capacity to have and recognize individual identity,” “love for partners and offspring,” friendship, social networks, cooperation, “preference for one’s own group (‘in-group bias’),” “mild hierarchy (that is, relative egalitarianism),” and “social learning and teaching.” —Howard Rheingold

These seven traits identified by Christakis can be arranged in how valuable they are to overall society.  Self-identity has high individual value while social learning is how we developed our second evolutionary strand — shared culture and knowledge.

Read more

social learning powers distributed work

by

Distributed work is here to stay, because many people like it, the pandemic is not over and there will be others, and market forces will seek to maximize profits and reduce labour costs. But Zoom calls all day are not going to create work environments where knowledge workers can deal with complex problems or create innovative solutions. The key to distributed work is social learning.

Distributed work is driving a work-from-anywhere culture and is increasingly reliant on asynchronous communication, as people move to multiple time zones. In order to share the necessary implicit knowledge needed for complex work, trust has to be developed. People only share with others they trust. This trust takes time to develop between people. How can they do this when they are not in the same office?

Read more

people, not algorithms

by

Can an algorithm defeat an algorithm? One group of European researchers think it can be done. I have my doubts

“The approach involves assigning numerical values to both social media content and users. The values represent a position on an ideological spectrum, for example far left or far right. These numbers are used to calculate a diversity exposure score for each user. Essentially, the algorithm is identifying social media users who would share content that would lead to the maximum spread of a broad variety of news and information perspectives.

Then, diverse content is presented to a select group of people with a given diversity score who are most likely to help the content propagate across the social media network—thus maximizing the diversity scores of all users.” —IEEE 2021-01-21

I believe that any system that can be gamed, will be gamed. Adding another algorithmic layer on platforms designed to manipulate human behaviour will likely result in a continuing game of whack-a-mole, like search engine optimization (SEO). Humans are not machines, and machines (including software) are not humans.

Read more

nature favours large social groups that network their information

by

Knowing how to get the answers you need is more important than storing those answers in your head, especially with the shorter lifespan of knowledge these days. What you find when you look something up is probably current. What you already know is more and more likely to be out of date.

A vital meta-learning skill: how to find the answer you need, online or off.

—Jay Cross (2006)

Knowledge is evolving faster than can be codified in formal systems and is depreciating in value over time. One of the ways to deal with this knowledge explosion is to use what we have — our humanity. We have developed as social animals and our brains are wired to deal with social relationships. By combining technology with our brainpower, we can figure things out. We are naturally creative and curious.

Read more

moving beyond training

by

Working smarter means that everyone in an organization learns from experience and shares with their colleagues as part of their work. Training is not enough — see the missing half of training. We cannot know in advance and prepare formal instruction for everything that people need to learn on the job today.

The 70:20:10 framework shows that learning at work is based, generally, on these ratios:

  • 70% from Experience
  • 20%: from Exposure
  • 10% from formal Education

Read more

debunking handbook 2020

by

The Debunking Handbook 2020 has just been published and is an excellent free guide to address the mass amounts of misinformation, disinformation, and propaganda that flow through our digital communications everyday and then influence real life behaviours. I have discussed some of these phenomena previously, in confronting the post-truth machines and pre-bunking the conspiracy theorists.

The 19-page Handbook provides these handy definitions.

  • Misinformation: False information that is disseminated, regardless of intent to mislead.
  • Disinformation: Misinformation that is deliberately disseminated to mislead.
  • Fake news: False information, often of a sensational nature, that mimics news media content.
  • Continued influence effect: The continued reliance on inaccurate information in people’s memory and reasoning after a credible correction has been presented.
  • Illusory truth effect: Repeated information is more likely to be judged true than novel information because it has become more familiar.

Read more