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The Death of Aaron Swartz and the New Hacker Crackdown

The Death of Aaron Swartz and the New Hacker Crackdown | e-Xploration | Scoop.it
In 1992, the sci-fi writer Bruce Sterling published The Hacker Crackdown, a riveting nonfiction book about a string of high-profile hacker busts on the early "electronic frontier" of the late '80s and early '90s.

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e-Xploration
antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
Curated by luiy
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Oycib ::: Collective Intelligence. "Kaan". Network Visualisation.

Oycib ::: Collective Intelligence. "Kaan". Network Visualisation. | e-Xploration | Scoop.it
luiy's insight:

Beginning with the origins, Oycib means in Mayan language "the place of honey". In this projet, Oycib is an e-Research infrastructure for the Collective Intelligence Analysis.

 

With Oycib infrastructure we propose an analysis model, based in the digital practices and collaboration profiles for the development of Social Learning and the Context Awareness in the Collective Intelligence process.

 

The infrastructure design and the profiles proposed here, are based on historical studies about social organization glyphs in Mayan culture made by Montgomery (2002) and Calvin (2012).

 

Initially we worked with four collaboration profiles: the "Itzaat", the "Pitziil", the "Ayuxul" and the "Sajal" (profiles), but we can find others depending of the organization context. Thus, it's important to mention that each profile is found based on the e-Xploración model and they are the qualitative and quantitative interpretation of the collaborative practices. In this way, we propose methods based on Social Network Analysis for the learning and knowledge management.

 

Thus, the network in Oycib is called "Kaan" (sky or network in Mayan Lenguage). In the "Kaan" we present the visualization of the subjects and objects, such as persons, forums, blogs, files, groups and all the interactions among them. Additionally, each profile and their interactions is presented.

 

... you can interact with "Kaan" here.

 

http://viz.oycib.org/net_all_3/network/index.html

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Mapping the global #Twitter heartbeat: The geography of Twitter | #datascience

Mapping the global #Twitter heartbeat: The geography of Twitter | #datascience | e-Xploration | Scoop.it
Mapping the global Twitter heartbeat: The geography of Twitter
luiy's insight:

In just under seven years, Twitter has grown to count nearly three percent of the entire global population among its active users who have sent more than 170 billion 140–character messages. Today the service plays such a significant role in American culture that the Library of Congress has assembled a permanent archive of the site back to its first tweet, updated daily. With its open API, Twitter has become one of the most popular data sources for social research, yet the majority of the literature has focused on it as a text or network graph source, with only limited efforts to date focusing exclusively on the geography of Twitter, assessing the various sources of geographic information on the service and their accuracy. More than three percent of all tweets are found to have native location information available, while a naive geocoder based on a simple major cities gazetteer and relying on the user–provided Location and Profile fields is able to geolocate more than a third of all tweets with high accuracy when measured against the GPS–based baseline. Geographic proximity is found to play a minimal role both in who users communicate with and what they communicate about, providing evidence that social media is shifting the communicative landscape

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Online collaboration: Scientists and the social network | #science #socialmedia

Online collaboration: Scientists and the social network | #science #socialmedia | e-Xploration | Scoop.it
Giant academic social networks have taken off to a degree that no one expected even a few years ago. A Nature survey explores why.
luiy's insight:

The results confirm that ResearchGate is certainly well-known (see ‘Remarkable reach’, and full results online at go.nature.com/jvx7pl). More than 88% of scientists and engineers said that they were aware of it — slightly more than had heard of Google+ and Twitter — with little difference between countries. Just under half said that they visit regularly, putting the site second only to Google Scholar, and ahead of Facebook and LinkedIn. Almost 29% of regular visitors had signed up for a profile on ResearchGate in the past year.

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Francisco Restivo's curator insight, August 23, 3:12 PM

Scientists and social scientists use social networks differently. But they use!

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#Privacy, Anonymity, and #BigData in the Social Sciences | #dh #MOOC

#Privacy, Anonymity, and #BigData in the Social Sciences | #dh #MOOC | e-Xploration | Scoop.it
A recent article suggests that open science may be irreconcilable with anonymous data, requiring a reconsideration of how we protect privacy in educational data.
luiy's insight:

The short version: many people have called for making science more open and transparent by sharing data and posting data openly. This allows researchers to check each other's work and to aggregate smaller datasets into larger ones. One saying that I'm fond of is: "the best use of your dataset is something that someone else will come up with." The problem is that increasingly, all of this data is about us. In education, it's about our demographics, our learning behavior, and our performance. Across the social sciences, it's about our health, our beliefs, and our social connections. Sharing and merging data adds to the risk of disclosing those data. 

 

The article shares a case study of our efforts to strike a balance between anonymity and open science by de-identifying a dataset of learner data from HarvardX and releasing it to the public. In order to de-identify the data to a standard that we thought was reasonably resistant to reidentification efforts, we had to delete some records and blur some variables. If a learner's combination of identifying variables was too unique, we either deleted the record or scrubbed the data to make it look less unique. The result was suitable for release (in our view), but as we looked more closely at the released dataset, it wasn't suitable for science. We scrubbed the data to the point where it was problematically dissimilar from the original dataset. If you do research using our data, you can't be sure if your findings are legitimate or an artifact of de-identification. 

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Net Neutrality, #Algorithmic Filtering and #Ferguson | #censorship

Net Neutrality, #Algorithmic Filtering and #Ferguson | #censorship | e-Xploration | Scoop.it

Net Neutrality, Algorithmic Filtering and Ferguson

luiy's insight:

Twitter was also affected by algorithmic filtering. “Ferguson” did not trend in the US on Twitter but it did trend locally. [I’ve since learned from @gilgul that that it *briefly* trended but mostly trended at localities.] So, there were fewer chances for people not already following the news to see it on their “trending” bar. Why? Almost certainly because there was already national, simmering discussion for many days and Twitter’s trending algorithm (said to be based on a method called “term frequency inverse document frequency”) rewards spikes… So, as people in localities who had not been talking a lot about Ferguson started to mention it, it trended there though the national build-up in the last five days penalized Ferguson.


Algorithms have consequences.


Mass media, typically, does not do very well covering chronic problems of unprivileged populations, poor urban blacks bear the brunt of this, but they are not alone. Rural mostly white America, too, is almost always ignored except for the occasional “meth labs everywhere” story. But yesterday, many outlets were trying, except police didn’t let them. Chris Hayes says that police ordered satellite trucks off the area so that they could not go live from the area. Washington Post was only one outlet whose journalists were arrested — citizen journalists were targeted as well.


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#Naoyun – Visualize Live Twitter Activity | #SNA #gephi

#Naoyun – Visualize Live Twitter Activity | #SNA #gephi | e-Xploration | Scoop.it
luiy's insight:

The TwitterStreamer is the main class that manage the Twitter API . This class also load a class that extends TwitterGephiStreamer. Each time the Twitter Api get a new Status, the TwitterStreamer call the newStatus method from the TwitterGephiStreamer class.

On this method, there is the « Network Logic ». I called « Network Logic » all the processes and the rules to create a network from Twitter status.

 

For the moment, Naoyun have 3 network logic :

 

- TwittFullGrapher : Makes a complete graph by representing users, hashtags, tweet, media, links and their connection. The « Smart » version implemented in Naoyun won’t represent tracked hashtag to improve the visibility of the graph.


- TwitterUserNetwork : Represent only the relation between users.


- GeoTwitt : Just display Twitt with Geo localisation

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Le numérique réinvente la consommation culturelle | #DH #musées

Le numérique réinvente la consommation culturelle | #DH #musées | e-Xploration | Scoop.it
Musées en ligne, création artistique digitale, e-commerce de l'art... la multiplication des expériences numériques dans le monde de la culture recoupe des réalités fort diverses. Et la nébuleuse des initiatives rend la lecture de ce secteur naissant éminemment complexe. Comment repenser l'offre culturelle à l'heure de sa dématérialisation ? Comment répondre aux nouveaux besoins d'un « consommateur » d'art ultra-connecté ?
luiy's insight:

S'appuyant justement sur l'interaction visiteur et l'expérience immersive, le Centre Pompidou a lancé « Éduque le Troll », en 2012, son premier Alternate Reality Game (ARG). Ces jeux en réalité alternée aux fonctions pédagogiques et ludiques sont fort prisés des musées. Il en est de même pour les serious games, jeux intelligents interactifs développés par les châteaux de Versailles et de Fontainebleau. Le transmédia a également la faveur des lieux patrimoniaux.

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How Google and Twitter move the #market for #bitcoin | #economy #cyberculture

How Google and Twitter move the #market for #bitcoin | #economy #cyberculture | e-Xploration | Scoop.it
luiy's insight:

Anyone who has followed bitcoin over the last three years knows that its price is an ad nauseum repeat of price spikes followed by mini crashes. Some of them have been triggered by external stimuli, like MtGox being hacked in 2011 before it ultimately met its demise this past March. The cycle — more like a roller coaster — of bitcoin price movements is becoming an interesting research topic for academics. However, how much of the price fluctuation has to do with the hype around the cryptocurrency?

Researchers at ETH Zurich, a university in Switzerland, decided to study how social information online affected the price in their paper:

 

“The digital traces of bubbles: feedback cycles between socio economic signals in the bitcoin economy.” http://arxiv.org/abs/1408.1494

 

The researchers looked at Facebook shares, number of tweets, number of downloads of the blockchain client, users on the network and the number of searches on both Google and Wikipedia to try to find a correlation between the price and the online network.

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( #Fake ) friends with (Real) benefits?? | #sna #socialmedia

( #Fake ) friends with (Real) benefits?? | #sna #socialmedia | e-Xploration | Scoop.it
I paid $5 for 4,000 Twitter followers, and here’s what I found
luiy's insight:

The Experiment

 

At the start, I used Twitter’s API to get a list of my 2,600 existing Twitter followers. Then I set about figuring out where to buy more.

Google conveniently auto-completed my search for “buy twitter” with a number of useful suggestions, including: “buy twitter followers,” “buy twitter followers cheap” and “buy twitter followers reviews.” I was certainly not the only one searching for this.

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The one million tweet map #onemilliontweetmap

The one million tweet map #onemilliontweetmap | e-Xploration | Scoop.it
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Francisco Restivo's curator insight, August 7, 4:09 AM

What's happening, in real time. You'll be surprised with all you can discover.

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Which Countries Are Banning Phone Surveillance Statistics? | #privacy #surveillance

Which Countries Are Banning Phone Surveillance Statistics? | #privacy #surveillance | e-Xploration | Scoop.it
Vodafone lifts the lid on mobile monitoring in 27 countries
luiy's insight:

Vodafone, one of the world's largest mobile phone groups, has revealed the existence of secret wires that allow government agencies to listen to all conversations on its networks, saying they are widely used in some of the 29 countries in which it operates in Europe and beyond.

 

The company has broken its silence on government surveillance in order to push back against the increasingly widespread use of phone and broadband networks to spy on citizens, and will publish its first Law Enforcement Disclosure Report on Friday. At 40,000 words, it is the most comprehensive survey yet of how governments monitor the conversations and whereabouts of their people.

 

The company said wires had been connected directly to its network and those of other telecoms groups, allowing agencies to listen to or record live conversations and, in certain cases, track the whereabouts of a customer. Privacy campaigners said the revelations were a "nightmare scenario" that confirmed their worst fears on the extent of snooping.

 

In Albania, Egypt, Hungary, India, Malta, Qatar, Romania, South Africa and Turkey, it is unlawful to disclose any information related to wiretapping or interception of the content of phone calls and messages including whether such capabilities exist.

 

http://www.theguardian.com/business/2014/jun/06/vodafone-reveals-secret-wires-allowing-state-surveillance

 

http://www.aljazeera.com/news/europe/2014/06/vodafone-reveals-network-spying-states-201466134726119937.html

 

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Morph : Get structured #data out of the web | #crawlers #datascience

luiy's insight:

Morph A Heroku for Scrapers

 

Get structured data out of the web

 

- All code and collaboration through GitHub

- Write your scrapers in Ruby, Python, PHP or Perl

- Simple API to grab dataSchedule scrapers or run manually

- Process isolation via Docker

- Trivial to move scraper code and data from ScraperWiki Classic

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An (incomplete) checklist for making #geodata #visualizations in data journalism | #ddj #dataviz

An (incomplete) checklist for making #geodata #visualizations in data journalism | #ddj #dataviz | e-Xploration | Scoop.it
luiy's insight:

MAPPABLE CHEAT-SHEET

An (incomplete) checklist for making geodata visualizations in (data-driven) journalism.

 

ALWAYS ASK YOURSELF FIRST:

Is a map really the best way to visualize the data set?

 

DATA HANDLING

 

- Got all geographic elements right? (especially borders & place names)

 

- Check the correct position of geocoded and self drawn map elements (thus preventing mistakes from misused spatial reference systems)

 

- Have all outliers and duplicates been eliminated? Correctly dealt with incomplete data entries?

 

- Have data entries that are not necessary for the final visualization been removed?Have the values been normalized (e.g. by population data)? .........

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Analyse de #sentiments automatique, pourquoi est-ce si compliqué ? | #datascience #lexicometric

Analyse de #sentiments automatique, pourquoi est-ce si compliqué ? | #datascience #lexicometric | e-Xploration | Scoop.it

A l’heure où le big data représente l’un des grands défis technologiques et économiques actuels, de nombreux outils d’analyse se positionnent sur le marché afin d’offrir aux entreprises une connaissance clients davantage poussée.

luiy's insight:

Certaines techniques actuelles font appel à des traitements lexicométriques, mêlant analyses linguistiques et statistiques. D’autres s’appuient sur des techniques d’apprentissage automatique afin d’améliorer automatiquement les performances des programmes d’analyse au fur et à mesure de leur utilisation.

 

Quelle que soit la méthode utilisée, toutes les subtilités du langage ne peuvent être reconstituées sous forme d’algorithmes pour être reconnues par un système informatique. En effet, la langue comprend différents niveaux d’articulation, chaque niveau comportant son lot de difficultés :

 

- Niveau lexical

- Niveau syntaxique

- Niveau sémantique

- Niveau pragmatique

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#Bigdata, language and the death of the theorist | #DH #algorithms

#Bigdata, language and the death of the theorist | #DH #algorithms | e-Xploration | Scoop.it
Plenty of people have foreseen the death of the scientific theory at the hands of big data analysis, but when computers become good enough to understand literature, art and human history, will it spell the end for the humanities academic?
luiy's insight:

A lot has been written about the ways that big data has changed scientific enquiry, but as supercomputers increase in power and the tools to use them become less obtuse, whole new academic disciplines are beginning to feel the benefits of crunching data.

 

Believe it or not, some people even think we can forecast the future with big data. Predicting world-changing events is a possibility, some claim, if you treat society and history like a big data problem. It's how big data analyst Kalev Leetaru found where Osama bin Laden had been hiding, in a way.

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How People Consume #Conspiracy Theories on Facebook | #sna #controverses

How People Consume #Conspiracy Theories on Facebook | #sna #controverses | e-Xploration | Scoop.it
… in much the same way as mainstream readers consume ordinary news, say computer scientists.
luiy's insight:

And that raises an interesting question. How do conspiracy theories spread through the Internet and do people treat these ideas in a way that is fundamentally different to conventional stories from established news organizations?

 

To find out, Alessandro Bessi and pals at the Institute for Advanced Studies in Lucca, Italy, examined the way people on Facebook consume conspiracy theories versus the way they consume mainstream news. And they say there are remarkable similarities but also some interesting differences that may help to better understand the way that false information spreads around the web.

 

The team began by studying over 270,000 posts created on 73 different Facebook pages. They classified these pages according to the kind of information they contained, whether conspiracy news or mainstream scientific news. They also counted the number of likes each post received, a total of almost 10 million, the number of shares, as well as the individuals who contributed.

 

Having divided up the posts, they found that around 60,000 involved mainstream scientific news and over 200,000 involved alternative conspiracy news. And while the scientific news received 2.5 million likes, the alternative news had over 6.5 million likes.

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#SemanadelEmprendedor - México 2014 - Gráficos de conversaciones y Ecosistema | #SNA #gephi

#SemanadelEmprendedor - México 2014 - Gráficos de conversaciones y Ecosistema | #SNA #gephi | e-Xploration | Scoop.it
luiy's insight:

En el contexto del evento #SemanadelEmprendedor 2014 en México desarrollamos y presentamos los siguiente gráficos:

 

- los actores principales que participarón en Twitter en el contexto del evento #SemanadelEmprendedor 2014

 

- los actores principales del Ecosistema Emprendedor 2014 en México.

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New #tool makes online #personaldata more transparent | #privacy

New #tool makes online #personaldata more transparent | #privacy | e-Xploration | Scoop.it
The web can be an opaque black box: it leverages our personal information without our knowledge or control. When, for instance, a user sees an ad about depression online, she may not realize that she is seeing it because she recently sent an email about being sad. Roxana Geambasu and Augustin Chaintreau, ...
luiy's insight:

The tool for revealing personal data use on the Web. It reveals which specific data inputs (such as emails) are used to target which outputs (such as ads). It is general and can track data use both within and across arbitrary Web services. The key idea behind XRay is to detect targeting through black-box input/output correlation. XRay populates a series of extra accounts with subsets of the inputs and then looks at the differences and commonalities between the outputs that they get in order to obtain correlation. This mechanism is effective at detecting certain types of data uses, though not all. For its details, please refer to our research paper, which will appear in August at USENIX Security 2014, a top systems security conference.


http://xray.cs.columbia.edu/

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How Yahoo Research Labs Studies Culture as a Formal Computational Concept | #SNA #DH

How Yahoo Research Labs Studies Culture as a Formal Computational Concept | #SNA #DH | e-Xploration | Scoop.it
The ultimate goal: a truly computational understanding of human society, say Yahoo’s computational anthropologists.
luiy's insight:

Today, Luca Maria Aiello at Yahoo Labs in Barcelona, Spain, and a couple of pals, change that. They tease apart the nature of the links that form on social networks and say these atoms fall into three different categories. They also show how to extract this information automatically and then characterize the relationships according to the combination of atoms that exist between individuals. Their ultimate goal: to turn anthropology into a full-blooded subdiscipline of computer science.

 

Aiello and co used two data sets from a pair of large social networks. The first consists of over 1 million messages sent between 500,000 pairs of users of the aNobii social network, which people use to talk about books they have read. The second is a set of 100,000 anonymized user pairs who commented on each other’s photos on Flickr, sending around 2 million messages in total.

 

The team analyzes these messages based on the type of information they convey, which they divide into three groups. The first type of information is related to social status; messages displaying appreciation or announcing the creation of the social tie such as a follow or like. For example, a user might say a photograph is “an excellent shot” or say they’ve followed somebody or acknowledged attention they’ve got by thanking them for visiting a site.

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Francisco Restivo's curator insight, August 20, 3:51 AM

Alex Pentland would call this Social Physics.

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2014 #Ebola Outbreak: Worldwide Air Transportation and Relative Import #Risk | #dataviz

2014 #Ebola Outbreak: Worldwide Air Transportation and Relative Import #Risk | #dataviz | e-Xploration | Scoop.it

Click here to edit the title

luiy's insight:
The Nodes: Nodes in the network represent the largest 1227 airports in the worldwide air-transportation network (WAN) comprising approx. 95% of the entire global air traffic. The dataset used in our computational models contains more than 4000 airports, a total passenger flux of more than 3 billion passengers/year. Node size quantifies the capacity (size) of an airport. Colors correspond to geographical regions. Hover over a node for an additional info pop-up.
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The Question to Ask Before Hiring a Data Scientist | #datascience #basics

The Question to Ask Before Hiring a Data Scientist | #datascience #basics | e-Xploration | Scoop.it
Will your new hire produce analysis for humans or machines?
luiy's insight:

Is your data scientist producing analytics for machines or humans?

 

This distinction is important across organizations, industries, and job titles (our fellows are being placed at jobs with titles that range from Quant to Data Scientist to Analyst to Statistician). Unfortunately, most hiring managers conflate the types of talent and temperament necessary for these roles.

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Israel, Gaza, #War & Data | #SNA #socialmedia

Israel, Gaza, #War & Data | #SNA #socialmedia | e-Xploration | Scoop.it
social networks and the art of personalizing propaganda
luiy's insight:

It’s hard to shake away the utterly depressing feeling that comes with news coverage these days. IDF and Hamas are at it again, a vicious cycle of violence, but this time it feels much more intense. While war rages on the ground in Gaza and across Israeli skies, there’s an all-out information war unraveling in social networked spaces.

 

Not only is there much more media produced, but it is coming at us at a faster pace, from many more sources. As we construct our online profiles based on what we already know, what we’re interested in, and what we’re recommended, social networks are perfectly designed to reinforce our existing beliefs. Personalized spaces, optimized for engagement, prioritize content that is likely to generate more traffic; the more we click, share, like, the higher engagement tracked on the service. Content that makes us uncomfortable, is filtered out.

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Genera el #INAH información #geoespacial en materia #arqueológica | #mexico

Genera el #INAH información #geoespacial en materia #arqueológica | #mexico | e-Xploration | Scoop.it
Genera el INAH información geoespacial en materia arqueológica
luiy's insight:

La plataforma generada incluye una base de datos georreferenciada, así como información espacial digital en diversos formatos, por ejemplo, kmz, dxf y shp, susceptible de visualización y manipulación en aplicaciones como Google Earth, Auto CAD y sistemas de información geográfica.

Esta información sirve para producir cartografía referente a las 187 zonas arqueológicas abiertas al público en el país, su entorno natural y el contexto socioeconómico de las comunidades cercanas, servicios para la visita e inclusive el estado de conservación de las estructuras arquitectónicas distribuidas dentro de las mismas.

Jaime Cedeño resaltó la cartografía desarrollada en el Laboratorio de Geomática a partir de la captura de información que proporcionan los institutos nacionales de Estadística y Geografía, y de Ecología; las comisiones nacionales del Agua, y para el Conocimiento y Uso de la Biodiversidad, así como del Registro Público de Monumentos y Zonas Arqueológicos del INAH y la generada por la Dirección de Operación de Sitios.

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Social Technologies for Developing #CollectiveIntelligence in Networked Society

Social Technologies for Developing #CollectiveIntelligence in Networked Society | e-Xploration | Scoop.it
luiy's insight:

The methodology will allow to identify and analyze conditions that lead communities to become more collective intelligent, but first following research questions needs to be answered: how to increase engagement of passive society into collective decision making process, how technologies could help to structure the information, purify the positions, reconcile different opinions and formulate the real society voice etc. To solve social challenges further research is planned in the field with the aim to show how existing social technology parameters might help platform developers to create new IT based applications fostering self-organization, collective decision making and learning etc.

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La "boîte à outils" du cartographe de l’information et des réseaux | #SNA #gephi #tools

La "boîte à outils" du cartographe de l’information et des réseaux | #SNA #gephi #tools | e-Xploration | Scoop.it
luiy's insight:

La "boîte à outils" du cartographe de l’information et des réseaux s’est sérieusement étoffée depuis quelques mois. De quoi équiper un peu plus encore une activité qui connaît quelques succès aujourd’hui, et dont on commence à comprendre le rôle essentiel pour les organisations et les territoires (en rappelant, comme à chaque fois, que le travail du cartographe d’informations commence là où finissent les données et finit là où commence l’interprétation des phénomènes). La nouveauté, cette fois-ci, est qu’il s’agit de deux "plateformes" en ligne et non plus seulement d’un plug-in ou d’une application isolée. Et, dans les deux cas, elles viennent enrichir les contextes d’utilisation de GEPHI (pour la 5e année en 2013 au Google Summer of Code, le fameux Gsoc). La preuve, si besoin était, que Gephi n’est pas une "application" mais un écosystème d’innovation permanente constituée d’une multitude d’acteurs.

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Google Tests #PersonalData Market To Find Out How Much Your Personal Information Is Worth | #databrokers

Google Tests #PersonalData Market To Find Out How Much Your Personal Information Is Worth | #databrokers | e-Xploration | Scoop.it
If you could sell your location data every day, how much would you charge? A research team including Google has carried out an experiment to find out.

Via C.I.L. CONSULTING
luiy's insight:

The personal information that your smart phone can collect about you is increasingly detailed. Apps can record your location, your level of exercise, the phone calls that you make and receive, the photographs that you take and who you share them with and so on.

 

Various studies have shown that this data provides a detailed and comprehensive insight into an individual’s habits and lifestyle, information that advertisers and marketers dearly love to have.

Indeed, this information can surprisingly useful. The Google Now smartphone app uses information such as your location to provide details it thinks you might find useful, such as directions home or nearby restaurants.

 

But this service isn’t entirely altruistic. Google knows perfectly well that it can use this information to sell adverts and other services.

That raises an interesting question. If companies such as Google can create a business model based on the use of this kind of personal information, how much is this information worth? And how should we value it when it comes to deciding who should have access to it and who shouldn’t?

 

Ref: arxiv.org/abs/1407.0566 : Money Walks: A Human-Centric Study on the Economics of Personal Mobile Data

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