EnemyGraph: blasphème ou ruse de l’amitié sur Facebook ?

On m’a souvent entendu parler d’amitié et d’inimitié dans les réseaux sociaux. De l’amitié à l’heure du numérique, autant dans le chapitre « Mon friend n’est pas mon ami » (v. mon ouvrage Les liaisons numériques, Paris, Seuil, p. 270-277 – que vous trouvez résumées ici) que dans plusieurs interventions publiques  détaillant les tenants et les aboutissants du friending. D’inimitié, plus récemment, dans mon effort de théoriser la conflictualité et les liens négatifs en ligne.

 Donc, quand le toujours admirable @affordanceinfo m’a signalé aujourd’hui le lancement d’EnemyGraph, une nouvelle app qui permet de déclarer des ennemis sur Facebook, j’ai fait un bond de surprise. Créé à la University of Texas par Dean Terry et ses étudiants Bradley Griffith et Harrison Massey, l’application promet de faire le contre-pied de l’ethos de l’amour et de l’amitié forcées de Facebook et de réaliser le rêve longtemps refoulé d’un bouton dislike. Mais comment ça marche ? Selon Terry le tout est basé sur la notion de « dissonance sociale », voire l’évaluation des liens existants entre usagers selon leur désignation de personnes, choses et lieux qui leur déplaisent:

EnemyGraph is an application that allows you to list your “enemies”. Any Facebook friend or user of the app can be an enemy. More importantly, you can also make any page or group on Facebook an “enemy”. This covers almost everything including people, places and things. During our testing testing triangles and q-tips were trending, along with politicians, music groups, and math.
Dean Terry EnemyGraph Facebook Application [visité 26 Mar. 12]

“Anamia” social networks and online privacy: our Sunbelt XXXII presentations (Redondo Beach, March 18, 2012)

[This is a joint post with Paola Tubaro's Blog]

So, here we are in the (intermittently) sunny state of California for Sunbelt XXXII, the International Network for Social Network Analysis (INSNA) annual conference. This year the venue is Redondo Beach and the highlights are both old and new stars of social network analysis:  David Krackhardt, Tom Valente, Barry Wellman, Emmanuel Lazega, Anuška Ferligoj, Ron Burt, Bernie Hogan, Carter Butts, Christina Prell, etc.

Here are our presentations, both delivered on Sunday 18th, March 2012.

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Taking liberties: why feeling closer on social media can lead to higher conflictuality

A short note on an apparent paradox highlighted by Ronald E. Anderson on the blog Compassionate Societies. While commenting on a recent PEW survey on the “tone of life” on social networking sites, the author points out two interesting facts :

1)  heavy social media users are prone to conflict (and, more generally, a lot of users experience negative interactions, physical fight and even end up breaking friendships because of online communication)…

2) ..yet overall people declare they feel closer to others, more compassionate and feeling good about themselves.

How can this contradiction be explained? According to the author “social networking is a mixed bag of good and bad”. I, for one, would like to suggest another way of interpreting these results: social media users are not hostile despite the fact they feel closer to one another. Rather, they are hostile because they feel closer. Closeness primarily comes to mean that users approach social media sites with higher expectations about friendship and togetherness. Social networking might thus imply adopting a social style characterized by a hypertrophied sense of intimacy, verging on liberty – like in the expression “taking liberties”: being too friendly in a way that shows a lack of respect to others.

Facebook “friending” rhetoric plays a part in this process, of course: by spreading an irenic vision of harmonious social life, any deviation from emotional proximity is perceived as a major break in the code of communication. In this sense, while interacting in the informal environment of social media, individuals not only fail to cultivate deference, but they even come to think of it as a transgression of an implicit social norm, as a manifestation of distance – or, worse, indifference – that compromises social cohesion and introduces an element of mistrust conducive to conflict.

Small data vs. Big Data (slides du séminaire EHESS, Antonio A. Casilli, 15 févr. 2012)

La séance du 15 février 2012 de mon séminaire EHESS Étudier les cultures du numérique : approches théoriques et empiriques a été l’occasion de proposer quelques éléments de réflexion sur:

Small data vs. Big data : comment mener des expériences dans les médias sociaux

L’explosion récente des « Big data » (traitement automatique d’énormes bases de données natives du Web) a été saluée par les chercheurs en sciences humaines et sociales comme une véritable révolution. Néanmoins, certaines voix se lèvent pour dénoncer les limites épistémologiques, méthodologiques, et éthiques de cette approche. La méthode ethno-computationnelle développée par Tubaro & Casilli (2010) permet de dépasser ces limites en ayant recours à des petits jeux de données qualitatives (small data) utilisés pour calibrer des simulations multi-agents. Loin de produire des « prophéties », cette approches permet de mener des expériences in silico dans des situations d’information imparfaite et asymétrique. Deux études récentes (l’une relative aux effets de la censure des médias sociaux géolocalisés dans des situations de violence civile, l’autre sur la diversité culturelle sur Facebook) illustreront cette démarche.

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Six interesting facts about social networking

A few interesting facts about Social Networking Services (mainly Facebook) taken from the recent report issued on June 16 2011 by PEW Internet and American Life. The report, whose title is Social networking sites and our lives is authored by Keith Hampton, Lauren Sessions Goulet, Lee Rainie, Kristen Purcell. Food for thought.

Fact #1: The average age of adult SNS users is now 38.

Sure, as user base increases, the gen Y is ‘caught up’ by gen X-ers, Baby Boomers and the like…

http://pewinternet.org/Reports/2011/Technology-and-social-networks/Summary.aspx

Fact #2: 26% of SNS members are now aged more than 50 (vs. 16% aged 18-22)

Definitely the ‘digital immigrants’ are catching up big time. But this was already clear from the 2009 Generations online Pew Report.

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Mark Zuckerberg et la collectivisation de la plus-value numérique (S01E02)

Deuxième épisode de notre grande saga bédé…

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The number of my online friends and Dunbar’s not-so-hidden scientific agenda

First of all, you might want to read this remarkably insightful blog post featured in Paola Tubaro’s Blog – about a recent article on social network size, online friending and Dunbar’s number published in Cyberpsychology. Here’s the complete reference to the article:

ResearchBlogging.orgPollet, T., Roberts, S., & Dunbar, R. (2011). Use of Social Network Sites and Instant Messaging Does Not Lead to Increased Offline Social Network Size, or to Emotionally Closer Relationships with Offline Network Members Cyberpsychology, Behavior, and Social Networking, 14 (4), 253-258 DOI: 10.1089/cyber.2010.0161

As for the analysis, let me just quote from Paola (it’s not that I’m lazy, but I tend to agree with pretty much evertything she says, especially because she draws heavily on previous posts and conferences of mine dealing with the same subjects ;P)

https://paolatubaro.wordpress.com/2011/05/14/how-many-friends-do-you-have/

How many friends do you have? « Paola Tubaro’s Blog

What I would like to add here is just that the article might not be all that interesting, weren’t it authored by Robin « Dunbar’s number » Dunbar himself. Read more

Bums, bridges, and primates: Some elements for a sociology of online interactions

This text was presented at the conference “Web Culture: New Modes of Knowledge, New Sociabilities”, Villa Gillet, Lyon (France), February 10th, 2011. Check against delivery. Click here for the .pdf version. Click here for the French translation.

In today’s presentation I will focus on the kind of social structures that users of computer-mediated global online communication networks (notably, the Web and social media) contribute to put in place. The point I will try to make is that science understanding of Web-based sociabilities has progressed enormously in the last decade, and that this should inform public policies touching on the Web, its regulation and governance.

WHERE HAVE ALL THE COMPUTER BUMS GONE?

Early glimpses into the social implications of ICT at a micro-level (that is: for the users themselves) date back to the mid-1970s and focus on the negative effect of these technologies. At the very origins of computer culture, we witness the emergence of the stereotype of the socially awkward computer hacker, isolated by the calculating machine which alienates him and keeps him apart from his peers. This characterization dates back to a time before the Web. In his Computer Power and Human Reason : From Judgement to Calculation (1976) Joseph Weizenbaum delivers us the portrayal of this subculture of compulsive computer programmer – or, as he liked to dub them, “computer bums”.

These are “possessed students” who “work until they nearly drop, twenty, thirty hours at a time.  Their food, if they arrange it, is brought to them: coffee, Cokes, sandwiches.  If possible, they sleep on cots near the computer. […] Their rumpled clothes, their unwashed and unshaven faces, and their uncombed hair all testify that they are oblivious to their bodies and to the world in which they move.  They exist, at least when so engaged, only through and for the computers.”

Since this first occurrence, and for a long time, common sense has almost unmistakably associated computer use and social isolation. Cultural analysts, novelists, commentators have been developing on this trope. Iconic cyberpunk author William Gibson, famously described Case, the main character of Neuromancer (1984), as a cyberspace-addict incapable of functioning in an offline social situation.

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Le corps dans les réseaux sociaux : technologie du soi, technologie du nous (slides)

La cinquième séance de mon séminaire EHESS Corps et TIC : approches socio-anthropologiques des usages numériques a eu lieu le vendredi 11 févr. 2011. Le sujet traité : le corps dans les réseaux sociaux en ligne, comment les amis sur Facebook influencent l’apparence physique des utilisateurs, comment le choix de la photo d’un profil peut avoir un impact sur le capital social en ligne. Voici, comme d’habitude, les slides.

La prochaine (et dernière séance) est prévue pour jeudi 24 février 2011 (17h, salle 5, 105 Bd Raspail). Il y sera question de jouissance et sexe en ligne. Pour s’inscrire, il suffit de m’envoyer un petit mail gentil.

What’s the actual size of your personal social network? Some numbers

Ok, so you have hundreds of friends on Facebook and thousands of followers on Twitter. Big deal. How many will show up to help you win that human pyramid contest, uh? And how many have you actually being interacting with in the last few months? More broadly, what’s the size of your actual social network? Scientists have been looking for an answer to that question, exploring the cognitive limits of the number of individuals one person can create ties with, both online and offline.

Famously, in 1992 anthropologist Robin Dunbar proposed a rough estimate of 150. The ‘Dunbar’s number’ was the result of a large-scale study comparing the size of the neocortex in primates and humans. But in 1998 that figure pretty much doubled when social network analyst Peter Killworth contemplated a mean personal network size of 290. And in 2010 that number doubled again, as sociologist Matthew Salganik settled for an estimate of 610 personal ties.

So who says 1,200? Nobody yet. Maybe (I’m just teasing) psychologist Lisa Barrett will come up with a number of her own, if the hype surrounding her latest article published in Nature Neuroscience continues. What hype? Didn’t you see this?

Apparently, after scanning a few brains, Barrett and her team discovered a fancy correlation between personal network size and the size of the corpus amygdaloideum. Turns out Facebook has nothing to do with the matter in question. If the numbers of the average size of personal networks are going up as years go by, it’s not because of our increasing technological embeddedness. Dunbar’s number was based on the size of human neocortex (i.e. that part of the human brain presiding higher mental functions), so it  would come as no surprise if it was way smaller than the one correlated to the size of the amygdala (the part that regulates emotional responses and aggression). After all, it’s safe to say that among our acquaintances the number of those we would like to punch is higher than that of those with whom we would enjoy a civilized chat…

—a

ResearchBlogging.org

Bickart, K., Wright, C., Dautoff, R., Dickerson, B., & Barrett, L. (2010). Amygdala volume and social network size in humans Nature Neuroscience, advance online publication DOI: 10.1038/nn.2724

Dunbar, R. (1992). Neocortex size as a constraint on group size in primates Journal of Human Evolution, 22 (6), 469-493 DOI: 10.1016/0047-2484(92)90081-J

Killworth, P., Johnsen, E., Bernard, H. R., Shelley, G., & McCarty, C. (1990). Estimating the size of personal networks Social Networks, 12 (4), 289-312 DOI: 10.1016/0378-8733(90)90012-X

McCormick, T., Salganik, M., & Zheng, T. (2010). How Many People Do You Know?: Efficiently Estimating Personal Network Size Journal of the American Statistical Association, 105 (489), 59-70 DOI: 10.1198/jasa.2009.ap08518


ps. This post was inspired by a few tweets exchanged with mathematician Valdis Krebs (@orgnet) and anthropologist Sally Applin (@AnthroPunk). To them goes my appreciation and #FF.

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