 la définition de la politique d'action sociale et médico-sociale du département en tenant compte des compétencesconfiées par la loi à l'Etat, aux autres collectivités territoriales ainsiqu'aux organismes de sécurité sociale ; l’élaboration et la mise en œuvre des schémasdépartementaux d'organisation sociale et médico-sociale ; la coordination des actions sociales et médico-socialesmenées sur le territoire départemental ; l’autorisation de la création ou de la transformation desétablissements et services sociaux et médico-sociaux fournissantdes prestations relevant de la compétence du département et leurhabilitation à tarifier les prestations fournies ; la présidence du conseil d’administration desétablissements publics spécialisés

participation au développement social

i try to use the term white supremacy to talk about that history and white nationalism to talk about this 00:02:31 social movement and because it's a movement where people recognize each other they know uh their friends

Man kann die ganze Situation nämlich auch einmal zum Anlass nehmen, darüber nachzudenken, ob man das Ganze wirklich braucht. Ist der Nutzen der sozialen Medien so hoch, dass er den Preis rechtfertigt? Das ist eine Frage, die ich mir stelle, seit ich meinen persönlichen Twitter-Account stillgelegt habe, aber so verkehrt fühlt es sich zumindest für mich nicht an, nicht mehr auf Twitter, Mastodon & Co. vertreten zu sein. Vielleicht hatte ein solcher Dienst auch einfach seine Zeit, und vielleicht überschätzen wir die Relevanz von sozialen Medien, und vielleicht wäre es gut, davon mehr Abstand zu nehmen.

Social Plausibility Assessment Framework

based on present knowledge of social drivers andphysical processe

Human infants need to acquire complex social skills, including language, empathy, morality and theory of mind, the researchers said. Successful development of these skills depends on information from adults: “Rather than requiring hard-wired, innate knowledge of social abilities, evolution has outsourced the necessary information to parents,”

extended altriciality creates opportunities for sophisticated social learning within the parent-offspring system.

“And if they’re just below a tipping point, their efforts will fail. But remarkably, just by adding one more person, and getting above the 25 percent tipping point, their efforts can have rapid success in changing the entire population’s opinion.

When a minority group pushing change was below 25 percent of the total group, its efforts failed. But when the committed minority reached 25 percent, there was an abrupt change in the group dynamic, and quickly a majority of the population adopted the new norm.

06:06Weak Ties

25:13Complex Contagions

Kawakatsu et al. (1) make an important ad-vance in the quest for this kind of understanding, pro-viding a general model for how subtle differences inindividual-level decision-making can lead to hard-to-miss consequences for society as a whole.Their work (1) reveals two distinct regimes—oneegalitarian, one hierarchical—that emerge fromshifts in individual-level judgment. These lead to sta-tistical methods that researchers can use to reverseengineer observed hierarchies, and understand howsignaling systems work when prestige and power arein play.

One can find utility in asking questions of their own note box, but why not also leverage the utility of a broader audience asking questions of it as well?!

Semantic leadership   Extent to which word usage by one entity is subsequently adopted by others. Specifically, Klein measures how often novel semantic usage in a given newspaper is mirrored by other newspapers. When a newspaper is a semantic leader, its semantic usage better predicts the later usage of that word in other newspapers compared to those other newspapers' own, earlier usage of the word.

La Défenseure des droits recommande auministre des Solidarités et de la santé et auxprésidents des conseils départementaux derenforcer la pluridisciplinarité et le partenariatdans la prise en charge des enfants protégésà l’aide sociale à l’enfance (ASE), notammentpar la création de référentiels communs et enrendant effective l’obligation d’établir un Projetpour l’enfant.La Défenseure des droits recommande auxprésidents des conseils départementaux,des directeurs territoriaux de la Protectionjudiciaire de la jeunesse (PJJ) et auxdirecteurs des ARS la signature de protocolesopérationnels portant sur la santé des enfantsconfiés en protection de l’enfance.La Défenseure des droits recommande derenforcer la présence de professionnels desanté dans l’ensemble des établissementsd’accueil relevant de la protection de l’enfance,en recrutant un infirmier.

La Défenseure des droits recommande auxdirecteurs académiques, en concertation avecles collèges et lycées, de diffuser à chaquerentrée scolaire, via un support adapté (livretd’accueil, etc.), les informations relatives àla présence au sein de l’établissement, del’assistante sociale et de l’infirmière scolaire.Une information systématique à destinationdes parents sur l’accès à la médecine scolairedoit aussi être organisée.

If old-school Social Darwinists like Herbert Spencer viewed nature as a marketplace, albeit an unusually cutthroat one, the new version was outright capitalist. The neo-Darwinists assumed not just a struggle for survival, but a universe of rational calculation driven by an apparently irrational imperative to unlimited growth.

We all know the eventual answer, which the discovery of genes made possible. Animals were simply trying to maximize the propagation of their own genetic codes. Curiously, this view—which eventually came to be referred to as neo-Darwinian—was developed largely by figures who considered themselves radicals of one sort or another.

Mutual Aid grew from a series of essays written in response to Thomas Henry Huxley, a well-known Social Darwinist, and summarized the Russian understanding of the day, which was that while competition was undoubtedly one factor driving both natural and social evolution, the role of cooperation was ultimately decisive.

An alternative school of Darwinism emerged in Russia emphasizing cooperation, not competition, as the driver of evolutionary change. In 1902 this approach found a voice in a popular book, Mutual Aid: A Factor of Evolution, by naturalist and revolutionary anarchist pamphleteer Peter Kropotkin.

it’s getting harder to engineer browser extensions well as web frontends become compiled artifacts that are ever further removed from their original source code

social media platform

is zettelkasten gamification of note-taking? .t3_zkguan._2FCtq-QzlfuN-SwVMUZMM3 { --postTitle-VisitedLinkColor: #9b9b9b; --postTitleLink-VisitedLinkColor: #9b9b9b; --postBodyLink-VisitedLinkColor: #989898; }

the tragedy of the Commons is not so much that it's Commons per se but that it's a cooperation problem that he described I 00:01:48 think very clearly that environmental degradation is often a social dilemma is often a cooperation problem and be it a commons or not the regulatory structure 00:02:02 or the the social structure can vary but cooperation problems are are important however of course he said his famous line this paper is you know solution is mutual coercion mutually agreed upon and and so that's 00:02:18 institutions right so the solution is institutions and of course we have other people who have said that very clearly and with a lot of wonderful evidence to back it up Elinor Ostrom being at the 00:02:31 top of that list and and her work on common pool resources and contains this fantastic list of sort of key design 00:02:44 elements that have emerged from studying small-scale common pool resource communities and and these are these are factors that tend to make those communities more successful in managing 00:02:56 those resources sustainably so so that's great

so often we still think engagement social engagement is a distraction from serious practice

as long as the system of  of political finance and you know parties and   campaigns and media and think tank you know  are largely controlled by by large wealth   00:29:11 holders you know our collective ability to  change the distribution of wealth and the   you know through through taxation or that  consolation and or what you know whatever   the method is going to be limited so it will take  major political fights and in some cases you know   changing the political rules of the game and the  political institution to to to changes and and   you know the good news is that this has  always been like this or this has always   00:29:39 and and still sometimes you know it has worked  in the in the past but it has worked you know   i mentioned the french revolution you know of  course that's a huge popular mobilization uh also   in the 20th century i mentioned after world war  ii after world war one well let's be clear it's   only because there was a very powerful uh you know  labor movement a socialist movement and communist   counter model in the east which in the end put  pressure uh on the on the uh and you know and on   00:30:09 the in effect and the elite governing elite in in  in the west so that they they they had to accept   a number of decisions you know which which were  limited in their scope but still which transform   the economic and social system in in a very  substantial way as compared to the pre-world   war one and 19th century economic system but it's  only through this enormous political mobilization   00:30:34 and collective organization and you know it will  be the same in in the past

david described  what a revolution is a change of common sense   and the collective imagination and david argued  that the main achievement of the paris commune   despite a defeat had been the transformation  of the common sense about how we live together   00:03:02 so most of what we consider ordinary in our  cities public transportation street lights   public schools the eight hours work days and even  the not yet achieved equal pay for women and men   originated in the paris commune and it  was then considered to be a social madness

how important is the concrete syntax of their language in contrast to

"Queer people built the Fediverse," she said, adding that four of the five authors of the ActivityPub standard identify as queer. As a result, protections against undesired interaction are built into ActivityPub and the various front ends. Systems for blocking entire instances with a culture of trolling can save users the exhausting process of blocking one troll at a time. If a post includes a “summary” field, Mastodon uses that summary as a content warning.

Investigating social structures through the use of network or graphs Networked structures Usually called nodes ((individual actors, people, or things within the network) Connections between nodes: Edges or Links Focus on relationships between actors in addition to the attributes of actors Extensively used in mapping out social networks (Twitter, Facebook) Examples: Palantir, Analyst Notebook, MISP and Maltego

this article from Fred Stutzman. In it he explains that egocentric networks are places like Facebook, MySpace and LinkedIn. They develop around the profiles of the people who join them. Object centric networks, on the other hand, develop around interactions over digital artifacts--like Flickr, which has formed communities around photo-sharing and del.icio.us, which focuses on sharing links.

In other words, the dog-object is defined by its interactions (or its quality in Pirsig's perspective) within the environmental network and how well it expresses its dogginess.

Drawing from negativity bias theory, CFM, ICM, and arousal theory, this study characterizes the emotional responses of social media users and verifies how emotional factors affect the number of reposts of social media content after two natural disasters (predictable and unpredictable disasters). In addition, results from defining the influential users as those with many followers and high activity users and then characterizing how they affect the number of reposts after natural disasters

Using actual fake-news headlines presented as they were seen on Facebook, we show that even a single exposure increases subsequent perceptions of accuracy, both within the same session and after a week. Moreover, this “illusory truth effect” for fake-news headlines occurs despite a low level of overall believability and even when the stories are labeled as contested by fact checkers or are inconsistent with the reader’s political ideology. These results suggest that social media platforms help to incubate belief in blatantly false news stories and that tagging such stories as disputed is not an effective solution to this problem.

. Furthermore, our results add to the growing body of literature documenting—at least at this historical moment—the link between extreme right-wing ideology and misinformation8,14,24 (although, of course, factors other than ideology are also associated with misinformation sharing, such as polarization25 and inattention17,37).

. We also find evidence of “falsehood echo chambers”, where users that are more often exposed to misinformation are more likely to follow a similar set of accounts and share from a similar set of domains. These results are interesting in the context of evidence that political echo chambers are not prevalent, as typically imagined

And finally, at the individual level, we found that estimated ideological extremity was more strongly associated with following elites who made more false or inaccurate statements among users estimated to be conservatives compared to users estimated to be liberals. These results on political asymmetries are aligned with prior work on news-based misinformation sharing

Interestingly, the fraction of low-credible URLs coming from U.S. dropped from 74% in the vax devel-opment period to 55% in the vax rollout. This large decrease can be directly ascribed to Twitter’s moderationpolicy: 46% of cross-border retweets of U.S. users linking to low-credible websites in the vax developmentperiod came from accounts that have been suspended following the U.S. Capitol attack (see Figure 8 (a), Ap-pendix).

Considering the behavior of users in no-vax communities,we find that they are more likely to retweet (Figure 3(a)), share URLs (Figure 3(b)), and especially URLs toYouTube (Figure 3(c)) than other users. Furthermore, the URLs they post are much more likely to be fromlow-credible domains (Figure 3(d)), compared to those posted in the rest of the networks. The differenceis remarkable: 26.0% of domains shared in no-vax communities come from lists of known low-credibledomains, versus only 2.4% of those cited by other users (p < 0.001). The most common low-crediblewebsites among the no-vax communities are zerohedge.com, lifesitenews.com, dailymail.co.uk (consideredright-biased and questionably sourced) and childrenshealthdefense.com (conspiracy/pseudoscience)

Therefore, although the social bot individual is “small”, it has become a “super spreader” with strategic significance. As an intelligent communication subject in the social platform, it conspired with the discourse framework in the mainstream media to form a hybrid strategy of public opinion manipulation.

There were 120,118 epidemy-related tweets in this study, and 34,935 Twitter accounts were detected as bot accounts by Botometer, accounting for 29%. In all, 82,688 Twitter accounts were human, accounting for 69%; 2495 accounts had no bot score detected.In social network analysis, degree centrality is an index to judge the importance of nodes in the network. The nodes in the social network graph represent users, and the edges between nodes represent the connections between users. Based on the network structure graph, we may determine which members of a group are more influential than others. In 1979, American professor Linton C. Freeman published an article titled “Centrality in social networks conceptual clarification“, on Social Networks, formally proposing the concept of degree centrality [69]. Degree centrality denotes the number of times a central node is retweeted by other nodes (or other indicators, only retweeted are involved in this study). Specifically, the higher the degree centrality is, the more influence a node has in its network. The measure of degree centrality includes in-degree and out-degree. Betweenness centrality is an index that describes the importance of a node by the number of shortest paths through it. Nodes with high betweenness centrality are in the “structural hole” position in the network [69]. This kind of account connects the group network lacking communication and can expand the dialogue space of different people. American sociologist Ronald S. Bert put forward the theory of a “structural hole” and said that if there is no direct connection between the other actors connected by an actor in the network, then the actor occupies the “structural hole” position and can obtain social capital through “intermediary opportunities”, thus having more advantages.

We analyzed and visualized Twitter data during the prevalence of the Wuhan lab leak theory and discovered that 29% of the accounts participating in the discussion were social bots. We found evidence that social bots play an essential mediating role in communication networks. Although human accounts have a more direct influence on the information diffusion network, social bots have a more indirect influence. Unverified social bot accounts retweet more, and through multiple levels of diffusion, humans are vulnerable to messages manipulated by bots, driving the spread of unverified messages across social media. These findings show that limiting the use of social bots might be an effective method to minimize the spread of conspiracy theories and hate speech online.

I want to insist on an amateur internet; a garage internet; a public library internet; a kitchen table internet.

Currently modes of software development, including free and open source software, are predicated on the division of society into three classes: “developers” who make software, “the business” who sponsor software making, and “users” who do whatever it is they do. An enabling free software movement would erase these distinctions, because it would give the ability (not merely the freedom) to study and change the software to anyone who wanted or needed it.

But a 1901 article(link is external) by Solomon Schechter hinted at the cache’s potential for social history. 

what our work is showing is very soon it can't. And so it's going to go through a death throws and any organism it will fight to survive. And so yes, there will be pushback and resistance. And so what I'm proposing is a plan, whether that plan gets carried out or whether it's 00:37:22 allowed to be carried out, that's a different matter.

what would the super organism be within the four categories of... Would it be old school? Would it be a Viking? 00:36:32 Would it be a realist or an Arcadian? What would the super organism be? Nate Hagens: Well, certainly wouldn't be an Arcadian because the super organism cares about right now, just getting enough profits to keep the financial system going. And the profits are tethered to energy. So the super organism would be a blend of category one and category two, the cornucopia and the Vikings.

what Marvin Harris said was the most important thing projecting the viability of a historical cultures is infrastructure, which is your expertise. But before we get into the infrastructure part, how do you envision society at the higher levels of belief, motivation, institutions? 00:25:09 Have you thought about that? Simon Michaux: Yes. So I believe society will shift into four parallel groups based on paradigm

Alas, lawmakers are way behind the curve on this, demanding new "online safety" rules that require firms to break E2E and block third-party de-enshittification tools: https://www.openrightsgroup.org/blog/online-safety-made-dangerous/ The online free speech debate is stupid because it has all the wrong focuses: Focusing on improving algorithms, not whether you can even get a feed of things you asked to see; Focusing on whether unsolicited messages are delivered, not whether solicited messages reach their readers; Focusing on algorithmic transparency, not whether you can opt out of the behavioral tracking that produces training data for algorithms; Focusing on whether platforms are policing their users well enough, not whether we can leave a platform without losing our important social, professional and personal ties; Focusing on whether the limits on our speech violate the First Amendment, rather than whether they are unfair: https://doctorow.medium.com/yes-its-censorship-2026c9edc0fd

Bellheads believed in "smart" networks. Netheads believed in what David Isenberg called "The Stupid Network," a "dumb pipe" whose only job was to let some people send signals to other people

I just can’t stop dreaming about a perfect world where I could go back to any of my old JavaScript projects with an ease of mind and knowing that everything just works. A perfect world where my program is going to stand the test of time.

my best guess is it’s the moderation

I'd love it to be normal and everyday to not assume that when you post a message on your social network, every person is reading it in a similar UI, either to the one you posted from, or to the one everyone else is reading it in.

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.

A lot has changed about our news media ecosystem since 2007. In the United States, it’s hard to overstate how the media is entangled with contemporary partisan politics and ideology. This means that information tends not to flow across partisan divides in coherent ways that enable debate.

On the onehand we have our technical toolbox full but on theother, we cannot use these tools effectively becausea proper infrastructure is absent.

Humans didn’t evolve to thrive in frictionless social networks with high fanout and velocity, and arguably we shouldn’t.

the spread of segregation, fads, revolts, protests, information on Twitter, and product marketing.

We repeat this procedure 10,000 times. The value of 10,000 was selected because 9604 is the minimum size of samples required to estimate an error of 1 % with 95 % confidence [this is according to a conservative method; other methods also require <10,000 samples size (Newcombe 1998)]

complex contagions, a type of social contagion which requires social reinforcement from multiple adopting neighbors.

In this work, we develop the “Multi-Agent, Multi-Attitude” (MAMA) model which incorporates several key factors of attitude diffusion: (1) multiple, interacting attitudes; (2) social influence between individuals; and (3) media influence. All three components have strong support from the social science community.

The trust one must place in the creator of a blocklist is enormous, because the most dangerous failure mode isn’t that it doesn’t block who it says it does, but that it blocks who it says it doesn’t and they just disappear.

When you focus on how successful you appear to others, status anxiety can occur. Your fear of not being valued by society may sadly lead to harmful long-term decisions being made.

It is possible to replace irrational status-seeking behaviors with healthier alternatives in which the value is found in the act itself rather than by the aimless collection of status symbols

“The damage commercial social media has done to politics, relationships and the fabric of society needs undoing.

As users begin migrating to the noncommercial fediverse, they need to reconsider their expectations for social media — and bring them in line with what we expect from other arenas of social life. We need to learn how to become more like engaged democratic citizens in the life of our networks.

I have about fourteen or sixteen weeks to do this, so I'm breaking the course into an "intro" section that covers some basic stuff like affordances, and other insights into how tech functions. There's a section on AI which is nothing but critical appraisals on AI from a variety of areas. And there's a section on Social Media, which is the most well formed section in terms of readings.

The TTRG (time to reply guy) was getting so fast, that I can’t actually remember the last time I tweeted something helpful like a design or development tip. I just couldn’t be arsed, knowing some dickhead would be around to waste my time with whataboutisms and “will it scale”?