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antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
Curated by luiy
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Visualization techniques for categorical analysis of social networks with multiple edge sets | #SNA

Visualization techniques for categorical analysis of social networks with multiple edge sets | #SNA | e-Xploration | Scoop.it

Via Becheru Alexandru
luiy's insight:

The node link graph on the left runs into limitation when trying to compare multiple properties, since only one property can be mapped to color at a time. This makes it hard for the user to look at both gender and grade level. In the radial layout on the right, we group by grade and map color to gender. The visualization starts with 8th grade on top and continues counter-clockwise with 12th grade at bottom right and unknown to the top right. The radial layout shows that gender plays less of a role as kids get older (there is more mixing of gender in higher grades).

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Christine Hine on virtual #ethnography’s E3 Internet | #cyberanthropology

Christine Hine on virtual #ethnography’s E3 Internet | #cyberanthropology | e-Xploration | Scoop.it
Christine Hine is an early pioneer of virtual ethnography and has been at the forefront of movements towards redefining ethnography for the digital age. She is currently a Reader at the University ...
luiy's insight:

HF: What do you think are the key challenges that ethnographers face in trying to study the Internet today?


CH: Robinson and Schulz, in their 2009 paper, describe evolving forms of ethnographic practice in response to the Internet and digitally mediated environments. They divide this into three phases that include a) pioneering, where cyberethnographers focused on issues of identity play and a separation between online and offline identities 2) legitimizing (in which my own work is situated) where ethnographers explored the use of offline methods in the online sphere and, 3) multi-modal approaches where ethnographers are concerned with how participants combine different modes of communication.

 

I believe that we are still in the process of having to legitimize cyber ethnography and that multi-modal approaches are a worthy goal for virtual ethnography. The key challenge here is in understanding how to do multi-modal studies. This is especially challenging since the ethnographer’s toolkit changes with every new setting. We don’t know what that toolkit consists of because every time we do a new study, we have to choose what combination of sites, methods, writing practices and techniques we need to use.

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Reuters Connected China Promo | #Datajournalism

Connected China is an interactive tool tracking thousands of people, institutions and connections that form China's elite power structure. For iPad and deskt...
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Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet Rate in Twitter Network | #datascience

Presented at SocialCom 2010 conference Aug 21st 2010
luiy's insight:

Retweeting is the key mechanism for information
diffusion in Twitter. It emerged as a simple yet powerful way of
disseminating information in the Twitter social network. Even
though a lot of information is shared in Twitter, little is known
yet about how and why certain information spreads more widely
than others. In this paper, we examine a number of features that
might affect retweetability of tweets. We gathered content and
contextual features from 74M tweets and used this data set to
identify factors that are significantly associated with retweet rate.
We also built a predictive retweet model. We found that, amongst
content features, URLs and hashtags have strong relationships
with retweetability. Amongst contextual features, the number of
followers and followees as well as the age of the account seem to
affect retweetability, while, interestingly, the number of past
tweets does not predict retweetability of a user’s tweet. We
believe that this research would inform the design of sensemaking 

and analytics tools for social media streams.

 

Article in :  http://www-users.cs.umn.edu/~echi/papers/2010-socialcom/2010-06-25-retweetability-cameraready-v3.pdf

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Imagine A Pie Chart Stomping On An Infographic Forever | #dataviz #context

Imagine A Pie Chart Stomping On An Infographic Forever | #dataviz #context | e-Xploration | Scoop.it
A certain category of design gaffes can be boiled down to violations of audience expectations.
luiy's insight:
Know Your Data: Mind, Body, And Soul

Our data’s “body” is its form and function. Like the human body, it consists of both overarching similarities and individual differences. Here we can draw an analogy with dislocation: just because your arm twists a certain way does not mean that it is supposed to; on the other hand, some people are indeed flexible enough to move in just that way. When we exceed the limitations of our body, we hear the body’s complaints loudly. But your data won’t let you know when you twist it out of shape (though you may hear some poor statistics professor screaming on its behalf). When we consider our data’s “body,” we’re considering the performance it can achieve and the stresses it can tolerate. That process often begins with these simple questions:

 

How was it collected? What are its limitations? Which mathematical transformations are appropriate? Which methods of display are appropriate? 

Our data’s “soul” is its context and broader meaning. One popular understanding of a soul is that it is some part of an individual that glorifies their uniqueness even while making them a part of a profound commonality. In a mystical context (whether you believe in it or not), we can easily understand this apparent contradiction. In a mundane context, many people would find the dissonance hard to swallow. This is unfortunate, because data must be understood in just this way: it is both an individual entity and a unit of a larger whole. Reconciling these is a notoriously tricky task, but some of the worst mistakes are avoided by collecting a few crucial bits of information:

 

Who collected it? Why was it collected? What is its context in a broader subject? What is its context in the field of research that created it?

 

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Rescooped by luiy from The Rise of the Algorithmic Medium
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Global Investigative Journalism Network » #DataJournalism

Global Investigative Journalism Network » #DataJournalism | e-Xploration | Scoop.it

Via Pierre Levy
luiy's insight:

As our governments and businesses become increasingly flush with information, more and bigger data are becoming available from across the globe. Increasingly, investigative reporters need to know how to obtain, clean, and analyze “structured information” in this digital world. 


Here is a list of resources to get you started, but we want to keep updating our community with the best resources available. Do you know of a great data tutorial we haven't listed, perhaps in a language other than English? Help us keep this resource guide comprehensive by sending your favorite resource to: kate.willson (at) gijn (dot) org.

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Rescooped by luiy from Didactics and Technology in Education
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The Story of Humanity with Game Based #Learning | #dataviz #DH

The Story of Humanity with Game Based #Learning | #dataviz #DH | e-Xploration | Scoop.it
Master 8 Periods of History with The Big History Project What do you get when you cross a maveric...

Via Chris Carter, Rui Guimarães Lima
luiy's insight:

The public course takes about 8 hours to finish and divides history into 8 “thresholds,” periods in which critical events happened to alter the course of all history.  Each threshold module contains multimedia elements to fully explore the time period from a variety of disciplines, especially science.  The public user has the option of taking quizzes and earning badges for each module passed.  At the end of the course, the user can earn the title of Certified Big Historian.  (The first 10,000 users to do so get a free sticker.)

 

By combining gamification elements with fascinating (sometimes mind-blowing) content, BHP manages to achieve something a lot of history teachers never could–it makes history fun.  The videos are engaging, with excellent graphics and music.  The material is presented with a minimum of jargon and the site is easy to navigate.  And while we won’t say the quizzes are easy, the user does have a chance to retake them until they reach a high enough score for the badge.  (Don’t ask us how many tries it took to score 100% on the Big Bang badge….)

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Chris Carter's curator insight, January 12, 2014 7:30 PM

13.7 billion years ... wow!

Chris Carter's comment, January 18, 2014 3:24 AM
Rui Guimarães Lima, you are heartily welcome! My friend and colleague teaches Big History here in Shanghai. We are the first non-US overseas school to do so. Exciting!
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Comparison of #research networking #tools and research profiling systems

Comparison of research networking tools and research profiling systems - Wikipedia, the free encyclopedia

Importantly, data harvested into robust RN tools is accessible for broad repurposing, especially if available as linked open data (RDF triples). Thus RN tools enhance research support activities by providing data for customized, up-to-date web pages, CV/biosketch generation, and data tables for grant proposals.

luiy's insight:
Contents: 1. General 2. Data Sources, Ingest and Export Formats 3. Data Interoperability and Integration 4. Users Profiled, User Interactivity and Networking Functionality 5. Controlled Vocabulary, Ontologies and Author Disambiguation 6. Bibliometrics
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Understanding #complexity | #dataviz

Understanding #complexity | #dataviz | e-Xploration | Scoop.it
As I have suggested, it was the most-regulated in the financial system that were in fact the most disaster-prone: big banks on both sides of the Atlantic, not hedge funds.

Via Thomas Faltin
luiy's insight:

A schematic history of human civilization reflects a growing complexity of the collective behavior of human organizations. The internal structure of organizations changed from the large branching ratio hierarchies of ancient civilizations, through decreasing branching ratios of massive hierarchical bureaucracies, to hybrid systems where lateral connections appear to be more important than the hierarchy. As the importance of lateral interactions increases, the boundaries between subsystems become porous. The increasing collective complexity also is manifest in the increasing specialization and diversity of professions. Among the possible future organizational structures are fully networked systems where hierarchical structures are unimportant. – Y. Bar-Yam,Complexity rising: From human beings to human civilization, a complexity profile, EOLSS UNESCO 2002

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The Potential of Social Network Analysis in #Intelligence | #SNA #ONA

The Potential of Social Network Analysis in #Intelligence | #SNA #ONA | e-Xploration | Scoop.it
Within its limits, SNA can be applied to identify individuals or organizations within a network, generate new leads and simulate flows of information or money throughout a network.

Via Pierre Levy
luiy's insight:

Social Network Analysis, as an analytic method, has inarguable applicability to the field of intelligence and is progressively reshaping the analytic landscape in terms of how analysts understand networks. For example, analysts currently use SNA to identify key people in an organization or social network, develop a strategic agent network, identify new agents and simulate information flows through a network. Beyond this, SNA can be easily combined with other analytic practices such as Geographic Information Systems (GIS), gravity model analysis or Intelligence Preparation of the Battlefield (IPB) to create robust, predictive analyses.

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#offline : La guerra en #Michoacan y la #narcopolitica en pleno.

#offline : La guerra en #Michoacan y la #narcopolitica en pleno. | e-Xploration | Scoop.it
luiy's insight:

Pasa que, como dijo ayer el sacerdote López, ese cártel tiene comprados hasta a elementos de la XXI Zona Militar. Él lo dijo, como lo han dicho también los líderes comuneros, como lo han dicho los empresarios agricultores y comerciantes de la zona. “Así están las cosas aquí, aquí es un lugar sin ley. Aquí mandan Los Templarios, aquí mandan, deciden y hacen lo que les da su regalada gana”, expuso el padre Gregorio López a una estación de radio local, y también se dijo harto de la situación y de las amenazas de ese cártel contra los miembros de la Iglesia católica que, como el obispo Patiño Velázquez, se han atrevido a alzar la voz y denunciar la complicidad de las autoridades con los miembros del crimen organizado. Patiño, quien en reiteradas ocasiones ha enviado cartas públicas exigiendo al gobierno federal pacificar la zona, lo crítico el miércoles en otra misiva y expuso que en realidad ni los gobiernos ni los políticos tienen real interés en resolver los conflictos por los que atraviesa la zona de Tierra Caliente. Y la prueba, dijo, es que en lugar de desarmar a los delincuentes la estrategia federal consiste en desarmar a los comuneros. 

Este contenido ha sido publicado originalmente por SINEMBARGO.MX en la siguiente dirección: http://www.sinembargo.mx/opinion/17-01-2014/20837. Si está pensando en usarlo, debe considerar que está protegido por la Ley. Si lo cita, diga la fuente y haga un enlace hacia la nota original de donde usted ha tomado este contenido. SINEMBARGO.MX

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#OpenInnovation et #IntelligenceCollective : des outils pour repenser modèles économiques, produits et services

#OpenInnovation et #IntelligenceCollective : des outils pour repenser modèles économiques, produits et services | e-Xploration | Scoop.it
Des termes barbares ? Simplement tendance ? Ou de vrais outils pour les organisations qu'elles soient privées ou publiques ? La pratique me fait dire que
luiy's insight:

L’Open Innovation est un terme adopté par Henry Chesbrough, professeur et directeur du Centre d‘Open Innovation au Haas Business School de l’Université de Californie. Auteur de plusieurs livres sur l’Open Innovation, il explique qu’instaurer un processus d’innovation interagissant avec ses parties prenantes est un impératif aujourd’hui dans un monde de plus en plus horizontal. Aujourd’hui, avec la connaissance qui est largement distribuée, les organisations ne peuvent plus se reposer sur leur seule R&D en interne. Elles doivent puiser dans des idées nées en dehors de leur organisation, comme elles doivent donner accès aux idées nées en interne.

 

Le terme Intelligence Collective englobe une diversité de méthodes permettant aux participants d’un groupe de contribuer à un objectif commun avec leurs capacités cognitives. Le postulat de départ de ces méthodes est que l’intelligence du groupe sera supérieure à la somme des intelligences individuelles isolées. C’est bien la rencontre d’une diversité de personnes dotées de leurs expériences, de leurs savoirs tacites et explicites qui nourrira une réflexion commune dans un cadre donné (Intelligents ensemble, en entreprise : l’apport des méthodes d’intelligence collective, de Shabnam Anvar).

Ces deux notions n’ont pas été très présentes dans les pratiques du 20e siècle…

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Picture Gallery of the Human Connectome Project | #brain #science

Picture Gallery of the Human Connectome Project | #brain #science | e-Xploration | Scoop.it

Navigate the brain in a way that was never before possible; fly through major brain pathways, compare essential circuits, zoom into a region to explore the cells that comprise it, and the functions that depend on it.

 

The Human Connectome Project aims to provide an unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve never before realized conclusions about the living human brain.

 

References:

 

Director of NIH Praises the Human Connectome ProjectMuse’s latest album uses a Human Connectome Project rendering of white matter tracks.Human Connectome Project pieces together neural data through brain scansBrain Mapping Center Seminar Series: “Discovering the Human Connectome”Mapping out a new era in brain research – CNN LabsProbing the Brain’s Mysteries – The Wall Street JournalFirst public release of 3T Connectom scanner data!Connectom Scanner Uses Ultra-High Gradient StrengthBrain Mapping Seminar SeriesFirst Images on the Connectom 3T Scanner Obtained
Via Dr. Stefan Gruenwald
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Anne Fleischman's curator insight, January 9, 2014 9:16 AM

Pour le plaisir les yeux #bigdata

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High-Resolution Maps of Science | #dataviz #scientometrics

High-Resolution Maps of Science | #dataviz #scientometrics | e-Xploration | Scoop.it

'Maps of science derived from citation data visualize the relationships among scholarly publications or disciplines. They are valuable instruments for exploring the structure and evolution of scholarly activity. Much like early world charts, these maps of science provide an overall visual perspective of science as well as a reference system that stimulates further exploration. However, these maps are also significantly biased due to the nature of the citation data from which they are derived: existing citation databases overrepresent the natural sciences; substantial delays typical of journal publication yield insights in science past, not present; and connections between scientific disciplines are tracked in a manner that ignores informal cross-fertilization..'


Via Nicholas Goubert, Lauren Moss, Rui Guimarães Lima
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Using #NodeXL to decipher #bigdata | #SNA

Using #NodeXL to decipher #bigdata | #SNA | e-Xploration | Scoop.it
Quirks Marketing Research Review magazine, January 2014. Featuring articles on online research - among others.
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Social Network Analysis of Science #Crowdfunding | #SNA

Social Network Analysis of Science #Crowdfunding | #SNA | e-Xploration | Scoop.it
CrowdFundingPlanning is a Complete Solution for a Fast and Successful CrowdFunding campaign empowering SMBs, Start-ups, Entrepreneurs, CF Expert Professionals and Investors Community.

Power of the Crowd, Expert and Cloud Sourcing.
luiy's insight:

Readers will remember when I announced Ethan Perlstein‘s plan to crowdfund his scientific research. Well, since then, Ethan has been combining two of my interests: alternative ways of funding science and network science. In his attempt to achieve his goal of raising $25,000, Ethan has been attempting to understand what conditions and connections yield the most money. And network analysis is one component of this.


Some of his analyses have looked at the statistical properties of the donations so far, confirming that donations do not come in at a constant rate (there is often a burst in the beginning and end, with some stagnation in the middle). In addition, Ethan recently emailed me an analysis based on his Facebook friends, and who donated and who did not:

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#Measuring the #Intelligence of #Crowds | #CI

#Measuring the #Intelligence of #Crowds | #CI | e-Xploration | Scoop.it
Microsoft Research in the UK reports useful results on crowdsourcing, based on aggregating questions from a standard IQ test on Amazon’s Mechanical Turk (AMT).
luiy's insight:

The Abstract for their 2012 study Crowd IQ: Measuring the Intelligence of Crowdsourcing Platforms describes the research and findings succinctly:

 

We measure crowdsourcing performance based on a standard IQ questionnaire, and examine Amazon’s Mechanical Turk (AMT) performance under different conditions. These include variations of the payment amount offered, the way incorrect responses affect workers’ reputations, threshold reputation scores of participating AMT workers, and the number of workers per task. We show that crowds composed of workers of high reputation achieve higher performance than low reputation crowds, and the effect of the amount of payment is non-monotone—both paying too much and too little affects performance. Furthermore, higher performance is achieved when the task is designed such that incorrect responses can decrease workers’ reputation scores. Using majority vote to aggregate multiple responses to the same task can significantly improve performance, which can be further boosted by dynamically allocating workers to tasks in order to break ties.

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COLLECTIVE INTELLIGENCE IN HUMANS: A LITERATURE REVIEW (2012) | #CI


Via Claude Emond
luiy's insight:

A sample of literature discussing the collective intelligence in humans was reviewed and the discovered themes were categorized into micro-level, macro-level and emergence-level phenomena. The framework is similar to the conceptual model of Luo et al. (2009), the gist of which is the question of how macro-level phenomena emerge from micro-level interactions. The framework proposed in this paper emerged from data collected from contemporary literature. Therefore, it is arguable that the scientific community has already implicitly divided collective intelligence to the aforementioned three levels of abstraction. Making this division explicit hopefully brings some structure to the discussion and helps in fitting the pieces of the puzzle together. The categorization of themes related to collective intelligence (Table 1) provides guidance for selecting topics for further literature reviews and suggests how the results might fit into the big picture of collective intelligence in humans. 

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Claude Emond's curator insight, January 18, 2014 11:01 PM

Another paper from the proceedings of Collective Intelligence 2012 (http://www.ci2012.org/) . Good up to date literature review in English

Claude Emond's comment, January 19, 2014 5:42 PM
very interesting comment Luis. I am learning quite a few things here
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Twitter Trends Help Researchers Forecast Viral #Memes | #SNA #datascience

Twitter Trends Help Researchers Forecast Viral #Memes | #SNA #datascience | e-Xploration | Scoop.it

What makes a meme— an idea, a phrase, an image—go viral? For starters, the meme must have broad appeal, so it can spread not just within communities of like-minded individuals but can leap from one community to the next. Researchers, by mining public Twitter data, have found that a meme's “virality” is often evident from the start. After only a few dozen tweets, a typical viral meme (as defined by tweets using a given hashtag) will already have caught on in numerous communities of Twitter users. In contrast, a meme destined to peter out will resonate in fewer groups.

 


Via Claudia Mihai
luiy's insight:

Those differences allowed Weng and her colleagues to forecast memes that would go viral with an accuracy of better than 60 percent, the team reported in a 2013 study.

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june holley's curator insight, January 23, 2014 8:31 AM

Some important ideas here for people interested in change.

Premsankar Chakkingal's curator insight, January 30, 2014 8:58 AM

Forecasting the Future Twitter Trends in hashtags

Christian Verstraete's curator insight, February 3, 2014 4:48 AM

Twitter, what happens when things go viral?

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Managing #Complexity: The Battle Between #Emergence And #Entropy | #cybernetics

Managing #Complexity: The Battle Between #Emergence And #Entropy | #cybernetics | e-Xploration | Scoop.it

The business news continues to be full of stories of large companies getting into trouble in part because of their complexity. 


So what is a leader to do when faced with a highly complex organisation and a nagging concern that the creeping costs of complexity are starting to outweigh the benefits?


Via Kenneth Mikkelsen
luiy's insight:

1. There is a design process –the allocation of roles and responsibilities through some sort of top-down master plan. We all know how this works.

 

2. There is an emergent process – a bottom-up form of spontaneous interaction between well-intentioned individuals, also known as self-organising. This has become very popular in the field of management, in large part because it draws on insights from the world of nature, such as the seemingly-spontaneous order that is exhibited by migrating geese and ant colonies. Under the right conditions, it seems, individual employees will come together to create effective coordinated action. The role of the leader is therefore to foster “emergent” order among employees without falling into the trap of over-engineering it.

 

3. Finally, there is an entropic process – the gradual trending of an organisational system towards disorder. This is where it gets a bit tricky. The disciples of self-organising often note that companies are “open systems” that exchange resources with the outside world, and this external source of energy is what helps to renew and refresh them. But the reality is that most companies are only semi-open. In fact, many large companies I know are actually pretty closed to outside influences. And if this is the case, the second law of thermodynamics comes into effect, namely that a closed system will gradually move towards a state of maximum disorder (i.e. entropy).

 

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Olivier Arnould's curator insight, December 1, 2013 3:40 AM

Une approche intéressante des organisations...

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Our Self-Inflicted #Complexity | #economy

Our Self-Inflicted #Complexity | #economy | e-Xploration | Scoop.it

Our ability to make progress against large-scale problems requires that we figure out how to tackle inter-domain complexity writes Roger Martin. The HBR blog post is part of a series of perspectives on complexity leading up to Global Drucker Forum in Vienna 14 + 15 November 2013. 


Via Kenneth Mikkelsen
luiy's insight:

My own clan — the economists — is particularly inclined in this direction. There are a thousand economists working on partial equilibrium problems for every one working on a general equilibrium problem. This is despite the fact that no one would contest that general equilibrium clarity is the most valuable knowledge by far. Why? Because it is really difficult to specify any general equilibrium cause-and-effect relationships.

 

Instead, most of the guns deployed in modern knowledge advancement are aimed at narrow problems for which the cause-and-effect relationship is specified with the famous “all other things being equal” proviso. Each narrow knowledge domain develops analytical tool-sets that deepen the narrow knowledge domain. Each narrow domain develops ever more algorithmic knowledge, and those developing the knowledge are extremely confident that they are right because they are so specialized within their own domain. The liver expert is completely confident that he or she is correct even if it is the interaction with another condition that threatens your health most.

This approach has created another kind of complexity: inter-domain complexity. Every field is segmented into multiple domains, each with deep algorithmic knowledge, specialized tools, and experts in the domain who think they are absolutely right. And they are indeed right, as long as we ignore the reality of detail complexity.

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Playing with Chance: On Random Generation in Playable Media and Electronic Literature | #DH

Playing with Chance: On Random Generation in Playable Media and Electronic Literature | #DH | e-Xploration | Scoop.it

Via Jose Afonso Furtado, Pierre Levy
luiy's insight:

Randomly generated content poses problems for theories of digital art: such content is resistant to structural theories, which can only provide templates, and one cannot assume a shared text for close analysis. Instead of reaching fixed endings, such works also tend to be of indefinite length or at least suggest indefinite possible combinations. I argue that the impact of such works can instead be found in how one attempts to work through their underlying grammar, based on limits in the algorithms that generate the content — not those limits themselves, but how their outlines come to be known. Repetitively iterating through these works simultaneously upholds the chance nature of the epiphenomenal occurrences while also illustrating the sameness of the underlying algorithm over time, creating a future-oriented interpretive arc. I examine two works that play off of this technique in different ways: Nick Montfort’s Taroko Gorge, a poetry generator which uses random generation to distill the essence of its object’s possibility, and the action role-playing game Torchlight, which attempts to elevate chance beyond a mere gameplay mechanic and toward an ethic.

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#Urban Characters: Exploring the places and #objects that make each city unique | #ethnography

#Urban Characters: Exploring the places and #objects that make each city unique | #ethnography | e-Xploration | Scoop.it
A salute to those special places—some humble, some utterly utilitarian—that give a city its unique personality and collective soul.

 

The six places and objects shown at the link are urban amenities of a particular kind, but really they’re much more than that. These are the distinct features in the landscape that give a city its unique character. Every city has them. They can be supremely useful (the parkettes in Toronto, Pike Place Market in Seattle, Washington, D.C.’s fabulous subway stations) or gloriously idiosyncratic (the hidden staircases in Los Angeles, Pittsburgh’s charming Inclines, the incongruous gas lamps of sunny San Diego).

All of them, however, play a beloved civic role that transcends their mere function, lending a kind of quiet poetry to daily life, grace notes to the grind. Six writers and designers, one from each city, reflect on these special characters in the urban landscape...


Via Lauren Moss, ParadigmGallery, luiy
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ParadigmGallery's curator insight, September 26, 2013 2:54 PM

This thought from the article sums it up for me...."believe that we can be great and that change is possible and that we can achieve it."

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#Journalisme : les robots prennent le pouvoir chez Yahoo! | #algorithms

#Journalisme : les robots prennent le pouvoir chez Yahoo! | #algorithms | e-Xploration | Scoop.it
Le portail internet a dévoilé l'application News Digest, qui assemble automatiquement des informations pour créer des articles. Terrifiant.

Via Sébastien Derhy, Laurent Vergnaud
luiy's insight:

Les médias cherchent toujours un modèle économique

Concrètement, l'algorithme scrute les sites d'information partenaires et assemble des extraits, des photos, des infographies, des vidéos et des liens. Pour le moment, News Digest n'est disponible que pour iPhone aux États-Unis. Durant sa keynote, Marissa Mayer a aussi dévoilé le nouveau site d'information high-tech, Yahoo Tech, axé comme de nombreux médias en ligne sur la génération de revenus publicitaires. Elle a aussi évoqué l'application Aviate, qui utilise tous les capteurs des smartphones pour deviner les besoins de l'utilisateur et lui proposer des publicités appropriées. 

 

Le secteur de la publicité est le nerf de la guerre pour les géants de l'Internet : Google le domine largement, suivi de Facebook et Yahoo!, allié à Microsoft. Dans ce contexte, le secteur de la presse cherche toujours un modèle économique viable, alors qu'il est confronté à la problématique dite du "tout gratuit", comme la musique ou le cinéma. Les grands portails agglomèrent des contenus provenant des sites d'information, dans un jeu à double tranchant pour les entreprises de presse : Google News ou Yahoo Actualités leur apportent un trafic vital, mais détournent parfois les internautes qui ne naviguent plus que sur ces portails, amputant alors les revenus publicitaires des médias.

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Sébastien Derhy's curator insight, January 9, 2014 10:59 AM
If this works, it's a complete revolution !