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maike online

Why Twitter Will Endure - NYTimes.com - 1 views

  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • ...22 more annotations...
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • On Twitter, anyone may follow anyone, but there is very little expectation of reciprocity. By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.
  • Nearly a year in, I’ve come to understand that the real value of the service is listening to a wired collective voice.
  • I almost always learn about it first on Twitter.
  • And the ethos of Twitter, which is based on self-defining groups, is far more well-mannered than many parts of the Web — more Toastmasters than mosh pit.
anja c. wagner

"Privacy and Publicity in the Context of Big Data" - 0 views

  • Privacy is not about control over data nor is it a property of data.  It's about a collective understanding of a social situation's boundaries and knowing how to operate within them.  In other words, it’s about having control over a situation. It's about understanding the audience and knowing how far information will flow.  It’s about trusting the people, the situating, and the context.  People seek privacy so that they can make themselves vulnerable in order to gain something: personal support, knowledge, friendship, etc.
  • 1) Security Through Obscurity Is a Reasonable Strategy 2) Not All Publicly Accessible Data is Meant to be Publicized 3) People Who Share PII Aren’t Rejecting Privacy 4) Aggregating and Distributing Data Out of Context is a Privacy Violation 5) Privacy is Not Access Control
  • Social norms can and are changing, but that doesn't mean that privacy has been thrown out the door. People care deeply about privacy, care deeply about maintaining context.  But they also care about publicity, or the right to walk out in public and be seen. 
  • ...5 more annotations...
  • This goes back to our methodological conundrum with Big Data.  Not all data are created equal and it's really hard to make reasonable interpretations from 30,000 feet without understanding the context in which content is produced and shared.  Treating data as arbitrary bytes is bound to get everyone into trouble. So we’re stuck with an ethical conundrum: do we err on the side of making sure that we care for those who are most likely to be hurt or do we accept the costs of exposing people?  
  • During its tenure, Facebook has made a series of moves that have complicated people's understanding of context, resulting in numerous outpourings of frustration over privacy. 
  • People don't seek privacy when they have something to hide.  They hide because they want to maintain privacy.  They seek privacy because they are social creatures who want to understand the context and manage information accordingly.  They seek privacy because they want to be socially appropriate and make themselves vulnerable to those around them.  People hide in plain sight all the time, but this is getting trickier and trickier with each new technology. 
  • Big Data is made of people. People producing data in a context.  People producing data for a purpose.  Just because it's technically possible to do all sorts of things with that data doesn't mean that it won't have consequences for the people it's made of. And if you expose people in ways that cause harm, you will have to live with that on your conscience.
  • Privacy will never be encoded in zeros and ones.  It will always be a process that people are navigating.  Your challenge is to develop systems and do analyses that balance the complex ways in which people are negotiating these systems.  You are shaping the future. I challenge you to build the future you want to inhabit.
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    Toller Vortrag von danah boyd - v.a. mit Blick auf die Datenschutz-Veränderungen bei Facebook
anja c. wagner

15 Stunning Examples of Data Visualization | Inspiration - 5 views

  • Data Visualization is a method of presenting information in a graphical form. Good data visualization should appear as if it is a work of art. This intrigues the viewer and draws them in so that they can further investigate the data and info that the graphic represents. In this post there are 15 stunning examples of Data Visualization that are true works of art.
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    Für die Visualist/innen unter uns ;-)
Brigitte Pott

Adding Social Media to the Customer Service Mix: How Enterprise Search 2.0 Uncovers 360... - 0 views

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    (mit Analyst von Gartner) Social media has exploded as a popular channel containing valuable customer data and feedback. But how can you use that data to better equip CSRs, Managers, and even Customers with information to improve customer service? How can you correlate it with information stored within your company and in cloud-based systems? Event Details Tuesday, May 10, 2011 1:00 pm EDT/GMT-4 Register Now Register Now Enterprise Search 2.0-powered applications access relevant information regardless of where it's stored, including social media channels, and presents the information in 360 degree dashboards, so agents, customers and executives can have a complete view of information relevant to them. 360 views drive improvements in customer service metrics, increase customer satisfaction, and better inform executive decisions.
anja c. wagner

5 Key Trends of 2010: Half-Year Report for The Web - 3 views

  • It's now a little over 6 months into 2010, so a good time to reflect on the highlights of the year so far. At the beginning of the year, we identified some key trends to track: (in alphabetical order) Augmented Reality, Internet of Things, Mobile, Real-Time Web, Structured Data.
anja c. wagner

Borrow, recycle, reinvent: Open Data und Johnsons Naturgeschichte der Innovation - CARTA - 0 views

  • Johnson hat in seinem Buch Where Good Ideas Come From. The Natural History of Innovation den sich wandelnden Charakter von Innovationen beschrieben. Er räumt dabei mit dem Mythos des „genialen Erfinders“ auf und schildert immer wieder relativ lange Vorlauf-Phasen, die dem tatsächlichen Durchbruch einer Innovation vorausgehen. Er verwendet dafür den Begriff des slow hunch, der „langsamen (Vor-)Ahnung“, die lediglich einen unvollständigen Ansatz oder eine Teillösung für eine später erfolgende Innovation darstellt.
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    Netzwerke statt Einelakteure - auch ein Modell für Design 2.0?
anja c. wagner

10 Nations Send Open Letter to Google: Protect Our Privacy - 0 views

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    "In a letter addressed to Google CEO Eric Schmidt, the Commissioner of Canada Jennifer Stoddart and the heads of the data protection authorities in France, Germany, Israel, Italy, Ireland, Netherlands, New Zealand, Spain and the United Kingdom have expressed their concern about various privacy issues connected to some of Google's services."
anja c. wagner

Facebook Now Commands 41% of Social Media Traffic [STATS] - 0 views

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    "Facebook and YouTube are displacing rivals and taking over the social web, according to data we've just received from comScore. In addition to showing massive and continued traffic growth throughout 2009 and the beginning of 2010, Facebook and YouTube continued to capture the highest volume of social web traffic. Twitter also garnered a ton of mainstream attention, helping the company increase the number of visitors to its site by fivefold over the course of the year."
anja c. wagner

Know and Master Your Social Media Data Flow - louisgray.com - 0 views

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    Gute Visualisierung, wie man verschiedene Dienste kombinieren kann - statt delicious kann auch diigo gelesen werden.
Gerold Marks

Personas | Metropath(ologies) | An installation by Aaron Zinman - 0 views

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    Wie das Netz Dich sieht. Data Mining
maike online

Wolfram|Alpha -computational knowledge egine - 0 views

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    Today's Wolfram|Alpha is the first step in an ambitious, long-term project to make all systematic knowledge immediately computable by anyone. Enter your question or calculation and Wolfram|Alpha uses its built-in algorithms and a growing collection of data to compute the answer. Based on a new kind of knowledge-based computing
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    das ist doch mal was
anja c. wagner

20 Cool Social Media Infographics to Show The Power Of Sharing | DesignBeep - 1 views

  • Information graphics or infographics are graphic visual representations of information, data or knowledge. These graphics present complex information quickly and clearly, such as in signs, maps, journalism, technical writing, and education.You can find many mnay interesting infographic about anything but today i want to showcase the infographics about social media and internet.
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    Schöne Sammlung an Grafiken
anja c. wagner

Harold Jarche » The Curmudgeon's Manifesto - 0 views

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    Wichtige Überlegungen, wie man Zugriff auf seine eigenen Daten bewahrt.
anja c. wagner

FORA.tv - Privacy and Targeted Ads: Consumer Service or Threat? - 0 views

  • Watch Full Program 01 hr 12 min 07 sec Add to Profile 01. Introduction 04 min 40 sec Add to Profile 02. Fear of Search Results Exposed 07 min 47 sec Add to Profile 03. Privacy in Relation to Culture and Preferences 04 min 12 sec Add to Profile 04. Geo Targeting 06 min 15 sec Add to Profile 05. Opting Out 04 min 18 sec Add to Profile 06. Consent and Self-Regulation 05 min 11 sec Add to Profile 07. Google's Approach to Self-Regulation 05 min 20 sec Add to Profile 08. Technological Barriers to Regulation 08 min 29 sec Add to Profile 09. Ad Preferences / Transparency 04 min 05 sec Add to Profile 10. Difficulty of Multiple Platforms 06 min 39 sec Add to Profile 11. Solutions: Limitations of Data Retention 10 min 57 sec Add to Profile 12. <a clas
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    Bestimmt eine wunderbare Diskussion
anja c. wagner

OpenID Connect - 4 views

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    Wenn ich es richtig verstehe: die Open-Szene startet einen neuen Anlauf, nicht alle Initiative nur den kommerziellen Anbietern zu überlassen ...
Brigitte Pott

Workshop: "Computing with Communities and Content: Bringing Together Analysis of Social... - 0 views

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    (Workshop im Rahmen der INFORMATIK 2011, erst im Oktober in der TU Berlin, derzeit Call for Papers bis 6.5.11)
anja c. wagner

Hamburgs Umgang mit Social-Media | politik-digital.de - 0 views

  • Wie können Behörden soziale Netzwerke effizient für ihre Arbeit nutzen? Die Stadt Hamburg hat jetzt einen Social Media-Leitfaden für ihre öffentliche Verwaltung herausgegeben.&nbsp;
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