Curation, Social Business and Beyond
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Curation, Social Business and Beyond
Covering the ongoing evolution of curation & beyond; the impact & innovation
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Social Media Discovery: 5 Hurdles to Information Consumption

Social Media Discovery: 5 Hurdles to Information Consumption | Curation, Social Business and Beyond |

This excellent article was written by Romain Goday for Darwin Ecosystems

After presenting some facts showing the immense and burgeoning amount of data available on the web, Romain goes into a little detail on the types of tools that use the Social Graph to filter content:

  • Social Networks
  • Search Engines
  • Discovery Engines

He then details 5 limitations to Social Media Discovery, opeing this section of the article:

**It is increasingly easier to publish information and increasingly difficult to consume it.

What most caught my attention:

**Excessive attention to what is being said within the user’s circle of trust limits the scope of the information consumption.

**The user’s perspective is not challenged, instead it is reinforced

**Users generally follow people that they respect at a personal level.

**It is understandable that they don’t have the desire to follow people that they dislike or that have the opposite view

**Lists, Circles and Subscriptions aren’t reducing the noise

**Following more people still equals a broader information scope and even more noise.

I agree wholeheartedly that it is our inclination to seek validation.  We must choose our sources and our curators very carefully to avoid seeing only what we are hoping to find.  But choose, we must!  The volume is just too great for anyone to do otherwise for a sustainable period of time.

If you're not careful you can escape the Google filter bubble to one of your own making. To avoid this, you may have to follow people who's views you may not agree with but at least you'll get the broader picture.

Curated by Jan Gordon covering "Content Curation, Social Media and Beyond"

Read the full article here: []

Karen Dietz's comment, January 11, 2012 10:49 AM
Excellent article and review Jan!
janlgordon's comment, January 11, 2012 6:04 PM
@Karen Dietz
Thanks Karen, loved our conversation on Google+:-)
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6 Traits of Highly Effective Content Discovery Engines

6 Traits of Highly Effective Content Discovery Engines | Curation, Social Business and Beyond |

This post is from Darwin Ecosystem


With the increasing need for relevant content, Discovery engines are becoming tools that save time and encourage effective information consumption.

Content discovery engines are similar to, but different from search engines.

Instead of simply providing results for a specific search query, discovery engines allow users to monitor topic-specific developments.

There are many types of discovery engines, and the technology that drives them and the way they present information differs greatly.

Why Are Content Discovery Engines Gaining Importance?

**more people recognize their potential to transform information consumption.

6 Traits of Highly Effective Content Discovery Engines

*Monitor Unique Topics of Interest

*In Real-Time

*Independent from sources


*Eliminate the noise

*Display Emerging Patterns

There is an increasing need for relevant content to benefit users of the web.

As content repository increases in size, discovery engines will be a primary means of finding new information.

****In order for content discovery engines to succeed, they will need to find the right balance between:

Read more:

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

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Twitter (Trust) research: It's Where the Money & Action is

Twitter (Trust) research: It's Where the Money & Action is | Curation, Social Business and Beyond |

Bob Brown of Network World has curated news of two very interesting Twitter research projects that caught my attention.

We all agree that freedom of speech is good,  and it's great that everyone can now  become a publisher. However, there's a double-edged sword: If we speak to a friend before we think something though, all will surely be forgiven and forgotten. After all, we all make mistakes. But if you click that Tweet or Share button too quickly, either succumbing to knee-jerk reactions or without first checking the facts, you may find the digital world to be less forgiving.

Content curators have to be especially vigilent about curating someone else's content to make sure the facts and information are correct.

I believe the research related to here is essential reading, as it is furtherment of an established and growing trend:

One relates to Wellesley College's Department of Computer Science where two professors have been awarded a near half million dollar National Science Foundation grant to:

****build an application that gauges the trustworthiness of information shared on social networks, and in particular Twitter.

This was originally envisioned as a form of spammer identification, but

****has broadened to be able to determine the past history of a tweeter and also whether information being received is available from multiple sources. 

The other brings us news of 'Tweetographer', a huge Data Mining project by two University of Cincinatti Computer Science students, descibed as:

"a real-time events guide extracted from information coming via large numbers of tweets." 

This could be available as a web or mobile app at the end of the year and one of the co-creators, Billy Clifton (his partner is Alex Padgett)

**sees the uses expanding in the future to predict election results and compiling product reviews.

My takeaways are:

**that we all need to be very aware that what we tweet today can and may be used against us in the future

**search is still very much in its infancy when it comes to engine sophistication, stay tuned.

Curated by Jan Gordon covering "Content Curation, Social Media & Beyond"

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