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Many recent studies of trust and reputation are made in the context of commercial reputation or rating systems for online communities. Most of these systems have been constructed without a formal rating model or much regard for our sociological understanding of these concepts.
This paper “propose[s] a mathematical framework for modeling trust and reputation that is rooted in findings from the social sciences. In particular, our framework makes explicit the importance of social information (i.e., indirect channels of inference) in aiding members of a social network choose whom they want to partner with or to avoid. Rating systems that make use of such indirect channels of inference are necessarily personalized in nature, catering to the individual context of the rater”.
What this technology could excel at […], is improving the efficiency of society as a whole, by making available to the world an always-on ‘world computer’ we all share.
We consider a market where buyers can access unbiased samples of private data by appropriately compensating the individuals to whom the data corresponds (the sellers) according to their privacy attitudes.
We show how bundling the buyers’ demand can decrease the price that buyers have to pay per data point, while ensuring that sellers are willing to participate.
For years, the internet undercut newspapers and other traditional news outlets. Tools like Blogger and YouTube and social networks like Twitter and Facebook turned everyone into news producers, and this glut of content devalued the sort of polished news traditionally created by professionals, driving old school journalism towards irrelevance. But Andreessen argues that this very phenomenon has now created a huge opportunity for the news business to reinvent itself.
The very platforms that killed newspapers, he says, have amped up news consumption, creating more news readers (compared with broadcast systems used 30 years ago) and intensifying the habits of existing news consumers. Andreessen believes that the quantity of news consumed is now growing even faster than the quantity of newsproduced — that demand now far exceeds supply. This implies there’s tons of new money to be made in the news business and that profits are only going to grow.
This guide explains the ins and outs of raising investment capital by using social media technologies to draw small sums of money from an almost countless number of sources.
By Kevin Lawton and Dan Marom.
Social Computing has exhibited a prolific and unexpected growth since its genesis in the early years of this decade and, since 2005, it has achieved unprecedented levels of EU and global usage. Current estimates indicate more than 130 million Europeans are involved in Social Computing and are interacting in a broad spectrum of commercial, leisure and social domains. Beyond the initial wave of people “getting involved”, Social Computing is now expected to have major impacts on society and the economy.
People often assume that to use online social networks is to give up on privacy. This assumption is sometimes justified by the cynical observation that "You’re not the customer… you’re the commodity." This business model is taken for granted, but does it have to be so? Must online social networks be incompatible with privacy, or is this just the way it is today?