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Algorithms can be very useful, especially when filtering through lots and lots of information. They can help us identify trends, quickly sum up popular concepts, and detect outliers at very early stages. I'd like to believe that my role as a data scientist is to give the digg editors superpowers - help them find quality content as early as possible. With the growing amount of information/content published, and people’s continued expectation that “news will find them”, there's no doubt we need to depend on algorithmic mechanisms. But we also need to design these algorithmic systems while questioning ourselves – what is it that we’re optimizing? Is it only “eyeballs” or is there a higher cause we should aim for? The choices that we make when designing these systems are like setting the rules of a game: they determine who wins and who loses.
Gilad Lotan, News Xchange 2014, Algorithmic Power
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Gilad Lotan
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Gilad Lotan
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Gilad Lotan
Analyzing data from social interactions on Twitter and Facebook gives us clues as to how people choose to manage their attention. When intelligently predicted, captured and visualized, we witness emerging patterns. Some swear by a certain time of day. Others spend an inordinate amount of time trying to reach certain users deemed "influencers." But its clear that the networked dynamics at play are much more complicated. While there is no simple recipe for predicting information flows in online social spaces, there's plenty of room for optimization.
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At a time when attention is a scarce commodity, true power lies in understanding how information flows within networked audiences. It is no longer possible to demand one's attention, or even expect it at a certain point in time. For a message to spread, it must be picked out from overflowing streams of updates, photos and links, and chosen to be reposted by each individual. The networked nature of social media may give some messages an overwhelming boost in popularity, but in most cases they fade as fast as they were created. It is imperative that we use available data to better model, track and gain insight about our audiences in order to make the best decision at any given time.
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Whether you're a multi-national enterprise, a local deli or a mah-jong meetup, the proliferation of social network services like Twitter have created an expectation that you interact with your customers, users and followers. There's an expectation to connect rather than broadcast. We've been hearing this over and over this morning - you are a brand. And as a brand you are expected to interact with your audience like a person would interact with others. You need to engage in conversations, provide and receive feedback, network, create hype, and do all this in a timely manner. But how can we be expected to interact with an ever growing and diverse group of people when we can't really "see" them?
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imPulse: materials and interactive design
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interface 3) Facilitate a moment of understanding between two viewers or users.
2.
connec#ng across a wall
3.
Poli#cal Spa#al Social Personal
4.
Personal A4ributes •
Breath • Temperature • GSR • Pulse
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