Curation, Social Business and Beyond
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Curation, Social Business and Beyond
Covering the ongoing evolution of curation & beyond; the impact & innovation
Curated by janlgordon
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What If Google Was a Person? - Google [Video]

What If Google Was a Person? - Google [Video] | Curation, Social Business and Beyond |

I found this video on State of Search - It's  the weekend, this is lighthearted, or is it? The thought of Google being a person is scary, well it might as well be:-)


"Google knows a lot about us. That can be handy but also scary. What if Google would be a person and would know all about us?" And that person would know everything about us. Do you think we would like that?

See the video here: []

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An Algorithmic Future: Can Computers Curate?


"A few weeks ago, an AFC reader commented on the potential of, the still-theoretical “Pandora for art”.


Anyone who’s seriously suggesting that software algorithms can replace humans in their interactions with art has overstayed their 15 minutes of fame and should be treated as such. Enough said.


AFC staff were quick to point out that’s probably not going to put anybody out of work, but then I got to thinking: why not?’s suggestion engine model is easy enough to swallow, but Google’s new Search by Image feature imagines something more revolutionary: computer-assisted curation.


The principal requirement of curation is a knowledge of human associations, both visual and cultural, and it seems inevitable that computers will soon understand those associations as well as we do. Each time we search, create, or organize online, we go some way towards ensuring this: the algorithm is always listening.


Through our actions and choices, we’re continually adding to the body of information available concerning the patterns of human visual culture. Today, simply including an image on AFC creates a network of connections and datapoints recording the possible presence of subjects known to be common to the site: contemporary art, for instance, or GIFs, or even “hipster pussy” (which, incidentally, is a significant traffic driver)




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How Algorithms and Editors Can Work Together to Burst the "Filter Bubble"

How Algorithms and Editors Can Work Together to Burst the "Filter Bubble" | Curation, Social Business and Beyond |

This article is an ongoing discussion about a subject that effects all of us personally and professionally. None of us wants to be pidgeon-holed into what an algorithm thinks we are or unknowingly influenced by a peer group on a social network that has only one point of view.

In March, Eli Pariser gave a popular TED talk about “filter bubbles” —

**when search and social network algorithms only serve us content based upon our past searches and "likes”, we’re not seeing content we need. 

He cites many examples when  personalization algorithms don't work and human editors do, here is just one that caught my attention:

** Social Importance: Algorithms are good at surfacing what’s popular but not necessarily what’s important. The war in Afghanistan may not be “likeable” or “clickable,”


**but a human editor can ensure that stories about it get seen.

At Friday's Mashable Media Summit Pariser offers some very good solutions on how editors and algorithms can work together.

Here's what he said:

In his talk, Pariser noted that nearly every major online media company and platform is moving toward some level of personalization. And why not? It drives clicks and engagement, which drives revenue.

**But how can we create balance? From his book The Filter Bubble, Pariser asked the big platforms (Facebook, Google and Netflix, among others) about:

**the difference between implicit and behavioral intent.

He offers some solutions - here's one that caught my attention:

By hooking people with content users like and pairing it with content users need, editors can drive traffic and value simultaneously.

Curated by JanLGordon covering "Content Curation, Social Media and Beyond"

Read full article: []

Giuseppe Mauriello's comment, November 5, 2011 3:33 PM
thanks for this!
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Why Browsing Is So Important to Content Discovery

Why Browsing Is So Important to Content Discovery | Curation, Social Business and Beyond |
Browsing is a crucial component of information discovery. However, the practice is not well-supported by the search-based or social methods of information discovery that dominate the web today.


Here's what caught my attention:


From Search to Social


The emergent discovery model today is social media. The explosion of social networking sites like Facebook, Twitter and Google+ allows users to share information on a peer-to-peer basis. This form of distribution hinges on human recommendation rather than mysterious and sometimes problematic algorithmic search rankings.


In the social model, you encounter my overwhelmingly unorganized bookshelf, but I reply with a suggestion. This saves you the time and work of searching. My selection probably satisfies you, particularly because, in this instance, it was made for you as an individual, rather than for a wider social network audience. However, it also limits your knowledge of what my collection could potentially offer.



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