Group items tagged

Division. “It just confirms what we already know.”

Police

“From the perspective of police investigators, this is an intelligence gold mine because this is open

where traditional media like broadcasters and newspapers are still very important producers of news, but where many people increasingly find their news via search engines and social media.

people who get news via search engines and/or social media sites report using significantly more different sources of news than those who do not.

Problèmes et enjeux de l'évaluation de l'information sur Internet

Le commun des mortels a cependant la force du nombre

Une autre faiblesse du modèle communautaire réside dans la propension pour les utilisateurs à tenter de s’organiser pour fausser le vote en faveur de leurs contenus

un article doit recevoir un certain nombre de votes en faveur de plus que le nombre de votes en défaveur

Les sites de filtrage communautaire permettent donc d’exploiter un investissement modeste (le vote) de la part d’un grand nombre de participants pour créer une collection intéressante de contenus.

Sur ces sites, toutes les soumissions sont publiques. Les liens moins populaires ne sont pas effacés, mais ils ne reçoivent jamais l’attention des liens qui sont sélectionnés pour la page d’accueil du site.

Si quelque chose présente peu d’intérêt pour la plupart des participants, il ne traversera pas le filtre et vous n’en entendrez pas parler même s’il a beaucoup d’intérêt pour vous.

Le web social offre une alternative au filtrage centralisé que nous venons de présenter. Par un effet qui s’apparente au hasard, ou à la sérendipité un peu contrôlée, notre réseau filtre naturellement vers nous des contenus divers. Les informations susceptibles de nous intéresser ont tendance à être relayées jusqu’à nous.

La communauté ambiante sert donc de filtre pour augmenter le ratio signal-bruit. En choisissant à qui l’on porte attention, on choisit ses filtres.

: ce qui percole à travers le réseau social numérique devient digne d’attention.

Si on considère l’économie comme un ensemble de règles qui orientent nos efforts et gouvernent nos motivations, alors on peut considérer qu’Internet offre une nouvelle forme d’économie, l’économie de l’attention.

Auparavant, les lecteurs devaient faire de grands efforts pour trouver un document. Aujourd’hui, c’est le choix de porter attention à tel ou tel document qui demande un effort.

La personne qui est capable de recevoir de l’attention de la part des membres de son réseau a la confiance de ceux-ci.

Les moteurs de recherche comme Google interprètent le lien vers une page web comme un indice d’approbation par des pairs.

Lier c’est donc créer de la valeur.

Ce pouvoir conféré au web social, en particulier aux férus de tagging et aux blogueurs, est de donner existence à du contenu, de le relier à d’autres contenus et d’aider à ce qu’il émerge dans les moteurs de recherche

Dans la blogosphère, l’hyperlien est le mécanisme essentiel qui a fait émerger le contenu de qualité

On peut voir maintenant le travail de synthèse accompli et aussi le type de tri que les blogueurs opèrent à partir de la source d’origine. Selon le travail et la qualité du résultat, on donne crédit ou non à la personne qui nous transmet une information ou une connaissance via le lien. Il se crée une légitimité d’expertise aux yeux de ses lecteurs.

Divers sites tâchent de quantifier la réputation des blogueurs. Technorati.com est l’un d’entre eux. Recensant des millions de blogues, il permet, par mots-clés et par tag, de retrouver des blogues et des billets. Technorati recoupe les informations pour créer un index d’« autorité » basé sur le nombre de blogues (et non de billets) pointant vers un blogue durant les six derniers mois. Plus ce chiffre est élevé, plus il a de l’autorité selon Technorati.

The Social Web is represented by a class of web sites and applications in which user participation is the primary driver of value.

Collective intelligence is a grand vision, one to which I subscribe.  However, I would call the current state of the Social Web something else: collected intelligence.   That is, the value of these user contributions is in their being collected together and aggregated into community- or domain-specific sites

The grand challenge is to boost the collective IQ of organizations and of society

With the rise of the Social Web, we now have millions of humans offering their knowledge online, which means that the information is stored, searchable, and easily shared.  The challenge for the next generation of the Social and Semantic Webs is to find the right match between what is put online and methods for doing useful reasoning with the data.  True collective intelligence can emerge if the data collected from all those people is aggregated and recombined to create new knowledge and new ways of learning that individual humans cannot do by themselves.

Technology can augment the discovery and creation of knowledge. For instance, some drug discovery approaches embody a system for learning from models and data that are extracted from published papers and associated datasets.  By assembling large databases of known entities relevant to human biology, researchers can run computations that generate and test hypotheses about possible new therapeutic agents.

The first approach is to expose the structured data that already underlies the unstructured web pages.  An obvious technique is for the site builder, who is generating unstructured web pages from a database, to expose the structured data in those pages using standard formats.

the second approach, to extract structured data from unstructured user contributions [2] [28] [39] .  It is possible to do a reasonable job at identifying people, companies, and other entities with proper names, products, instances of relations you are interested in (e.g., person joining a company) [1] [7] , or instances of questions being asked [24] . There also techniques for pulling out candidates to use as classes and relations, although these are a bit noisier than the directed pattern matching algorithms [8] [23]  [31] [32] [36] [38] [42]

Tomorrow, the web will be understood as an active human-computer system, and we will learn by telling it what we are interested in, asking it what we collectively know, and using it to apply our collective knowledge to address our collective needs.

The other major area where Semantic Web can help achieve the vision of collective intelligence is in the area of interoperability.  If the world's knowledge is to be found on the Web, then we should be able to use it to answer questions, retrieve facts, solve problems, and explore possibilities. 

In a sense, the TagCommons project is attempting to create a platform for interoperability of social web data on the Semantic Web that is akin to the "mash-up" ecology that is celebrated in Web 2.0.

An example of how a system might apply some of these ideas is RealTravel.  RealTravel is an example of "Web 2.0 for travel".  It attracts travelers to share their experiences: sharing their itineraries, stories, photographs, where they stayed, what they did, and their recommendations for fellow travelers.  Writers think of RealTravel as a great platform to share their experiences -- a blog site that caters to this domain.  People who are planning travel use the site as a source of information to research their trip,

The collection of tags for a site is called the folksonomy, which is useful data about collective interests.

like many Web 2.0 sites, combines these structured dimensions to order the unstructured content.  For example, one can find all the travel blogs about diving, sorted by rating.  In fact, the site combines all of the structured dimensions into a matrix, which offers the user a way to "pivot browse" along any dimension from any point in the matrix.

This paper argues that the Social Web and the Semantic Web should be combined, and that collective knowledge systems are the "killer applications" of this integration.  The keys to getting the most from collective knowledge systems, toward true collective intelligence, are tightly integrating user-contributed content and machine-gathered data, and harvesting the knowledge from this combination of unstructured and structured information.

Structured and unstructured, formal and informal -- these are not new dimensions.  They are typically considered poles of a continuum.

We are beginning to see companies launching services under the banner of Web 3.0 [25] that aim explicitly at collective intelligence.  For instance, MetaWeb [35] is collecting a commons of integrated, structured data in a social web manner, and Radar Networks [25] is applying semantic web technologies to enrich the applications and data of the social web.

The third approach is to capture structured data on the way into the system.  The straightforward technique is to give users tools for structuring their data, such as ways of adding structured fields and making class hierarchies.

nonwhites and people under the age of 29 are the most trusting groups of social media news readers

71 percent of people who use Twitter get news from the site

7 percent of social media news hounds between the ages of 18 and 29 think most news they see on social is accurate

Facebook, which announced in January that it would decrease news reach and focus its algorithm on so-called family and friend content—saw only a small decline.

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