Web 2.0 et société
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Web 2.0 et société
La société en mouvement « 2.0 » : quels enjeux, quelles opportunités, quel avenir ?
Curated by BeerBergman
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IMMATCONF-OlivierAuber-FULL%20PAPER.03.pdf

BeerBergman's insight:

"I argue that nothing but the awareness of the people themselves may prevent, at their level, the takeover by some misleading systems or predatory artificial species. If one day, the Global Brain is a reality, it will need a Global Immune System to ensure its viability.

This immune system would involve each of its agents (that is us) to evaluate at all level, at all time, the Legitimacy of all its components. As network agents structured by the Anoptical Perspectives, we are most often in the position of the Selected, leaving them to shape our imagination and our judgments.

On the contrary, by becoming aware of these perspectives and questioning their Legitimacy, we can choose to be in the position of the Selectors of quasi-living species that proliferate on networks.

This Global Immune System would be finally the relevant and proportionate update of our Evolutionarily Stable Strategy. With the help of everyone, that could lead to a new era which could be called Aethogenesis: from a world without ethics to a world with ethics. Finally, that would trigger a new explosion of codes respecting the beings of all species, starting with our own."

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Truthy: Information Diffusion in Online Social Networks | #influence #virality #SNA

Truthy: Information Diffusion in Online Social Networks | #influence #virality #SNA | Web 2.0 et société | Scoop.it

Via luiy
BeerBergman's insight:

"luiy's insight:

The focus of this research project is understanding how information propagates through complex socio-technical information networks. Leveraging large-scale public data from online social networking platforms, we are able to analyze and model the spread of information, from political discourse to market trends, from news to social movements, and from trending topics to scientific results, in unprecedented detail.

 

We study how popular sentiment, user influence, attention, social network structure, and other factors affect the manner in which information is disseminated. Additionally, an important goal of the Truthy project is to better understand how social media can be abused, for example by astroturfing."

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luiy's curator insight, September 3, 2014 12:06 PM

The focus of this research project is understanding how information propagates through complex socio-technical information networks. Leveraging large-scale public data from online social networking platforms, we are able to analyze and model the spread of information, from political discourse to market trends, from news to social movements, and from trending topics to scientific results, in unprecedented detail.

 

We study how popular sentiment, user influence, attention, social network structure, and other factors affect the manner in which information is disseminated. Additionally, an important goal of the Truthy project is to better understand how social media can be abused, for example by astroturfing.

 

Our work to date includes a number of core research themes:

 

1. We study how individuals’ limited attention span affects what information we propagate and what social connections we make, and how the structure of social networks can help predict which memes are likely to become viral.

 

2. We explore social science questions via social media data analytics. Examples of research to date include analyses of geographic and temporal patterns in movements like Occupy Wall Street, societal unrest in Turkey, polarization and cross-ideological communication in online political discourse, partisan asymmetries in online political engagement, the use of social media data to predict election outcomes and forecast key market indicators, and the geographic diffusion of trending topics.

 

3. Truthy is an ensemble of web services and tools to demonstrate applications of our data mining research, from visualizing meme diffusion patterns to detecting social bots on Twitter.

 

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The Social-Network Illusion That Tricks Your Mind | MIT Technology Review

The Social-Network Illusion That Tricks Your Mind | MIT Technology Review | Web 2.0 et société | Scoop.it
arxiv.org/abs/1506.03022
BeerBergman's insight:

"Two versions of this setup are shown above. In the left-hand example, the uncolored nodes see more than half of their neighbors as colored. In the right-hand example, this is not true for any of the uncolored nodes.

But here’s the thing: the structure of the network is the same in both cases. The only thing that changes is the nodes that are colored.  

This is the majority illusion—the local impression that a specific attribute is common when the global truth is entirely different."

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BeerBergman's comment, July 5, 2015 4:49 PM
And the original case can be found here : http://arxiv.org/pdf/1506.03022v1.pdf