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Personal Background Checks | Certificate Verification | People Background Check | Criminal & Reference Checks
"It is an easy to use Identity and Credentials Verification Service which will help you to initiate any relationship of trust and confidence.
The Crederity Verified Seal is a symbol of trust and authenticity that helps make your first impression the best impression. Being Crederity Verified means that people you meet can be more assured that you are who you say you are and lends additional credibility to the good reputation you’ve built up over the years.
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Online Monoculture and the End of the Niche - Whimsley
"Online merchants such as Amazon, iTunes and Netflix may stock more items than your local book, CD, or video store, but they are no friend to "niche culture". Internet sharing mechanisms such as YouTube and Google PageRank, which distil the clicks of millions of people into recommendations, may also be promoting an online monoculture. Even word of mouth recommendations such as blogging links may exert a homogenizing pressure and lead to an online culture that is less democratic and less equitable, than offline culture."
The Whuffie Bank - Reputation is Wealth
"The Whuffie Bank is a nonprofit organization dedicated to building a new currency based on reputation that could be redeemed for real and virtual products and services. The higher your reputation, the wealthier you are. "
Twitalyzer Firefox Add-On for Twitter.com
"If you're using Firefox, and why wouldn't you be, and you use the Twitter.com site or Twitter Search then you're going to love our experimental Firefox add-on! Installing the add-on in gives you a Twitalyze! button that, when clicked, uses the Twitalyzer API to score everyone you're in communication with.
If Twitalyzer knows the Tweet author's influence score we will provide that information and tell you how long ago we took the measurement. If we don't know the author we'll let you know that too!
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Topsy Labs » Influence: the New Currency of the Web
"Topsy Influence measures the likelihood that, each time you say something, people will pay attention. Influence for Twitter users is computed using all historical retweets: millons of real, public statements indicating who’s listening to whom. On our website, roughly the top 0.2% most influential of all Twitter users are tagged “Highly Influential”, and “Influential” tags appear for the top 0.5% most influential Twitter users. So if Topsy says you are influential, you are part of a pretty small group!"
Official Google Blog: Managing your reputation through search results
"Below are some tips for "reputation management": influencing how you're perceived online, and what information is available relating to you."
Technology Review: Can You Trust Crowd Wisdom?
When searching online for a new gadget to buy or a movie to rent, many people pay close attention to the number of stars awarded by customer-reviewers on popular websites. But new research confirms what some may already suspect: those ratings can easily be swayed by a small group of highly active users.
Vassilis Kostakos, an assistant professor at the University of Madeira in Portugal and an adjunct assistant professor at Carnegie Mellon University (CMU), says that rating systems can tap into the "wisdom of the crowd" to offer useful insights, but they can also paint a distorted picture of a product if a small number of users do most of the voting. "It turns out people have very different voting patterns," he says, varying both among individuals and among communities of users.
TC50: Meet The Whuffie, A New Currency That’s Based On Your Online Reputation
. The Whuffie Bank, a new non-profit organization that’s launching today at TechCrunch50, wants to fix this by launching a new currency that rewards people for their positive contributions on the web.
The startup is hoping to promote change in the web by rewarding users with a positive impact on the web with this karma-like digital currency. The service will monitor your activity across various websites, including things like comments, posts, and more. When you complete positive actions, you gain Whuffies, and you lose them when you do something that the organization deems to be detrimental.
Wikipedia to Color Code Untrustworthy Text | Wired Science | Wired.com
Starting this fall, you’ll have a new reason to trust the information you find on Wikipedia: An optional feature called “WikiTrust” will color code every word of the encyclopedia based on the reliability of its author and the length of time it has persisted on the page.
Building Web Reputation Systems: The Blog: Reputation Wednesday Archives
Reputation Wednesday is an ongoing series of essays about reputation-related matters. This week's entry shares some news about the production and design of our book, and asks for your help in pushing it forward to completion.
Manifesto for the Reputation Society
Manifesto for the Reputation Society by Hassan Masum and Yi–Cheng Zhang
Information overload, challenges of evaluating quality, and the opportunity to benefit from experiences of others have spurred the development of reputation systems. Most Internet sites which mediate between large numbers of people use some form of reputation mechanism: Slashdot, eBay, ePinions, Amazon, and Google all make use of collaborative filtering, recommender systems, or shared judgements of quality.
But we suggest the potential utility of reputation services is far greater, touching nearly every aspect of society. By leveraging our limited and local human judgement power with collective networked filtering, it is possible to promote an interconnected ecology of socially beneficial reputation systems — to restrain the baser side of human nature, while unleashing positive social changes and enabling the realization of ever higher goals.
Aardvark
A real conversation with a friend (or friend-of-friend) can be much more helpful than searching the web — all the knowledge and experience in people’s heads can’t be put on a web page!
With Aardvark, there’s nothing to download or install: just send Aardvark a message through IM, like you do when talking to a friend.
Aardvark figures out who might be able to answer, and asks on your behalf — Aardvark is the hub.
It’s all about people helping each other out!
gfx.espra-trust-map.home-3b.jpg (JPEG Image, 1040x1274 pixels) - Scaled (94%)
trustmap UI mockup
video.espra-trust-maps.2mins.mov (video/quicktime Object)
2 min video on trust maps
Joho the Blog » Transparency is the new objectivity
Outside of the realm of science, objectivity is discredited these days as anything but an aspiration, and even that aspiration is looking pretty sketchy. The problem with objectivity is that it tries to show what the world looks like from no particular point of view, which is like wondering what something looks like in the dark. Nevertheless, objectivity — even as an unattainable goal — served an important role in how we came to trust information, and in the economics of newspapers in the modern age.
The Future of Search: Social Relevancy Rank
What we are about to get is a Social Relevancy Rank. Whenever you search streams of activity, the results will be ordered not chronologically but by how relevant each is to you based on your social graph. That is, people who matter more to you will bubble up. How does this work? Well, there will be a formula, just as there is a formula for Page Rank.
Solution 101: Rank by Friends and People You Follow
Here is an idea so obvious that it is surprising Twitter has not implemented it already: front-load search results with people you follow. When you search for, say, "Wilco" on Twitter today, the results are in the chronological order. That is not really relevant because you do not know who most of these people are. But if instead you could see people you follow, the search results would be much more useful.
The Genius Index: One Scientist's Crusade to Rewrite Reputation Rules
After two years of number-crunching in his cluttered office at UC San Diego, Hirsch had it—an invention important enough to warrant publication in the (very prestigious) Proceedings of the National Academy of Sciences. In his 2005 article, Hirsch introduced the h-index (named after himself, of course). The key was focusing not on where you published but on how many times other researchers cited your work. In practice, you take all the papers you've published and rank them by how many times each has been cited. Say paper number one has been cited 10,000 times. Paper number two, 8,000 cites. Paper number 32 has 33 citations, but number 33 has received just 28. You've published 32 papers with more than 32 citations—your h-index is 32.
Or to put it more technically, the h-index is the number n of a researcher's papers that have been cited by other papers at least n times. High numbers = important science = important scientist.
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After two years of number-crunching in his cluttered office at UC San Diego, Hirsch had it—an invention important enough to warrant publication in the (very prestigious) Proceedings of the National Academy of Sciences. In his 2005 article, Hirsch introduced the h-index (named after himself, of course). The key was focusing not on where you published but on how many times other researchers cited your work. In practice, you take all the papers you've published and rank them by how many times each has been cited. Say paper number one has been cited 10,000 times. Paper number two, 8,000 cites. Paper number 32 has 33 citations, but number 33 has received just 28. You've published 32 papers with more than 32 citations—your h-index is 32.
Or to put it more technically, the h-index is the number n of a researcher's papers that have been cited by other papers at least n times. High numbers = important science = important scientist.
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The Web of Knowledge now comprises 700 million cited references from 23,000 journals published since 1804. It's used by 20 million researchers in nearly 100 countries. Anyone—scientist, dean, lab director—can sort the entries and tell someone's fortune. Nothing approaches it for breadth and longevity. Though the Journal Impact Factor has competitors, it remains the gold standard. "You may not like the database, but it has not been replaced," Garfield says.
Mediactive » Making Reputation Measurable, Usable in Emerging Media Ecosystem
In an era where we have nearly unlimited amounts of information, one of the key issues is how to separate the good from the bad, the reliable from the unreliable, the trustworthy from the untrustworthy, the useful from the irrelevant. Unless we get this right, the emerging diverse media ecosystem won’t work well, if at all.
I’ve long believed that we’ll need to find ways to combine popularity — a valuable metric in itself — with reputation. This sounds easier than it is, because reputation is an enormously complex problem. But whoever gets this right is going to be a huge winner in the marketplace.
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In an era where we have nearly unlimited amounts of information, one of the key issues is how to separate the good from the bad, the reliable from the unreliable, the trustworthy from the untrustworthy, the useful from the irrelevant. Unless we get this right, the emerging diverse media ecosystem won’t work well, if at all.
I’ve long believed that we’ll need to find ways to combine popularity — a valuable metric in itself — with reputation. This sounds easier than it is, because reputation is an enormously complex problem. But whoever gets this right is going to be a huge winner in the marketplace.
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What “media outlet” — traditional, blog, whatever — is behind the article?
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A Grammar for Reputation [Building Web 2.0 Reputation Systems]
The expression reputation system describes a wide array of practices, technologies, and user interface elements. This chapter will help you understand this by providing a comprehensive lexicon of attributes, processes and presentation that we will use going forward to describe current systems and to define new ones.
Much of the terminology surrounding reputation in the current marketplace is inconsistent, confusing, and even contradictory depending on what site you visit or what expert you read. After evaluating and developing scores of online and offline reputation systems for more than 30 years, the authors have been able to identify many concepts and attributes in common between them - sufficient similarity to brave proposing a common lexicon and graphical grammar in order to build a shared foundation of understanding.
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The expression reputation system describes a wide array of practices, technologies, and user interface elements. This chapter will help you understand this by providing a comprehensive lexicon of attributes, processes and presentation that we will use going forward to describe current systems and to define new ones.
Much of the terminology surrounding reputation in the current marketplace is inconsistent, confusing, and even contradictory depending on what site you visit or what expert you read. After evaluating and developing scores of online and offline reputation systems for more than 30 years, the authors have been able to identify many concepts and attributes in common between them - sufficient similarity to brave proposing a common lexicon and graphical grammar in order to build a shared foundation of understanding. -
Atoms and Particles: The Reputation Statement and its Components
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Greek Riots, Facebook, Twitter and SMS (Updated) « iRevolution
One way to think about the impact of the information revolution on the ability of groups to mobilize and organize is to use the analogy of disease contagion, which also follows a power law distribution. As Clay Shirky writes, “The classic model for the spread of disease looks at three variables—likelihood of infection, likelihood of contact between any two people, and overall size of population. If any of those variables increases, the overall spread of disease increases as well.”
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One way to think about the impact of the information revolution on the ability of groups to mobilize and organize is to use the analogy of disease contagion, which also follows a power law distribution. As Clay Shirky writes, “The classic model for the spread of disease looks at three variables—likelihood of infection, likelihood of contact between any two people, and overall size of population. If any of those variables increases, the overall spread of disease increases as well.”
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Countering false rumors in a highly connected network may require a systems approach
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