Context and Aggregation are king

Daniela recently pointed me to this Bear Stearns report via her blog post.

In it they make the same observations that I and others have been talking about for more than a year.

"User-Generated Content (UGC) Is Not a Fad...
Some investors remain skeptical that UGC is more than a passing fad. However, in our recent online video survey, UGC is the No. 1 and No. 2 most popular content category among men aged 18-34 (M18-34) and among all respondents, respectively. Moreover, if we define UGC as page views only from sites such as Myspace.com, Facebook.com, Youtube.com, Wikipedia.org, Blogger.com, and Digg.com (which is quite conservative), we estimate that UGC now accounts for 13% of total U.S. Internet traffic, up from 0%-1% in 2004. Based on these statistics, we submit that UGC is here to stay."

Although using the term UGC is not great, their conclusion sounds very familiar to anyone reading this blog.

"apparent to us that as supply of video content rises, value will shift from content producers to aggregators and packagers of content that can best aid users in finding content that fits their specific interests".

Of course, APML as a way of describing user interests, and Particls as a way of filtering and alerting users about new, personally relevant content, are both key technology pieces to this new media 2.0 reality.

New, lighter build of Particls released

A new Particls build is available at www.particls.com/download

In this build we have really focused on reducing memory, CPU and bandwidth consumption - particularly for new users. Some older users will not see too much improvement but we will work on those next!

Release notes
Download now

$15m invested in Attention Data

Brad has a great wrap up of the coverage from the Me.dium investment round of $15m.

I'd just like to clarify for those who might have missed it. This was not an investment in chat, it was an investment in collecting and leveraging Attention Data.

Congrats to the Me.dium team!

John Tropea describes an APML enabled world

John Tropea has an amazing ability to keep in his head (and subsequently on his posts) a big map of all the related tools and applications that are remotely related to any given topic.

As a result of his encyclopedic knowledge of all things RSS/Attention/Recommendation, he has written a lengthy post about various applications of APML in every day web 2.0 tools.

He has a fantastic view of an APML enabled world that puts the user at the center of their Attention driven experience.

Read it here.

A Flow of Particls through your life - Stowe talks at Reboot

I just finished watching Stowe's talk at Reboot about something he calls 'Flow'.

You can watch it on CoRrElate.

Eric Norlin on the Defrag blog summarized the talk pretty well:

Stowe's basic argument (simplistically paraphrased) is that the tools we're using (social networking, etc) are actually changing the way our neurons are dealing with things - and that has led to 2 central propositions:

1. Time is a shared resource.
2. Connectivity is more important that productivity

As I have written before about Stowe's thoughts on Flow, I think that, for the most part, Stowe is on to something very interesting.

In fact I have been touching on the subject for a while now by arguing that news and alerts should not be treated like email with folders and items to be marked as read. They should flow by you in a news ticker, river of news and/or popup alerts.

As I wrote in my last post on the subject, the only concern I have with Stowe's thesis is that he seems to quickly dismiss the concept of the 'Attention Economy' without quite understanding the implications.

He claims that Information Overload and the economic metaphor for Attention does not fit. He means that we can not assign units of measurement to our Attention and allocate it as a finite resource because Attention can actually be tuned and improved with a physical changing and training of our neurons to perceive the world as a flow - letting the information flow over us. Just like a juggler learns to juggle many balls as a matter of instinct.

That may be true - and he is right that part of the Attention Economy is about assigning value to attention and trying to allocate it most effectively.

However, he is missing the fact that there are 2 aspects to the emerging Attention space that invoke economic theory:

1. Attention is a finite resource and can be dealt with in terms of economic units that can be consumed - therefore an abundance of Information creates a scarcity of Attention.
   
2. Attention data can be used to better target goods and services. The trading of this attention data, and the resulting efficient selection and presentation of advertising to drive sales is becoming an important economic driver.

Stowe seems to disagree only with the first point (I could be wrong - care to clarify Stowe?).

Firstly, I don't think it is as black and white as he states when it comes to point 1 - efficient allocation of our Attention.

Sure we can change our neurons and practice living a life of flow - in fact I advocate that we do - that's why Particls' primary interface right now is a news ticker and not a set of folders and items.

However, I think that tools that use Attention to better focus our stream can only help the process. A tool to funnel and tune the incoming information and present it in a method that is conducive to flow thinking can only be helpful.

On point 2. People are making money off your Attention. They are observing it, recording it and fine tuning advertising and content around it. They are also selling the data to each other. This gives it economic value. The question then is who owns this value and what are our rights as generators of the information and recipients of targeted information.

There is a real economy developing around this practice and standards like APML are about giving us participants some control back.

Continuous Partial Attention Revisited

Stowe has recently written about his ideas of 'Flow' and Continuous Partial Attention (CPA).

His premise is that we are not necessarily information saturated - that our brains are evolving to a point where we can let the information flow over us and stay continuously partially attentive to many things at the same time. He claaims that this is a perfectly natural change in our concentration and mental abilities.

He writes about Linda Stone - the guru in CPA.

"Linda and many others will tell us it will rot our teeth, disrupt family life, and lead to hair on our palms. I for one am not eager to turn off my devices and pay all my attention to one thing at a time, one moment at a time. There are too many targets on the horizon, too many members of the tribe, and too many jaguars lurking in the shadows for that. In my tribe, we don't do things that way."

I'm young - my brain can handle it for now - so I agree with Stowe (to a point) - however he also writes about Linda Stone's concerns about Continuous, Continuous partial attention having deleterious affects on the body and lumps us Attention people into it.

"[Linda's CPA concerns], along with Toffler's Information Overload (it's driving us crazy, he asserted) and the Attention Economy mavens (free information leads to attention scarcity). I don't buy any of it."

I disagree with Stowe on this point. We "Attention Economy mavens" and our focus on Attention are not antithetical to his ideas about information flow.

Actually I think, particularly we here at Faraday Media and Particls, we are exactly in tune with his message.

Information (particularly news) should typically flow - not pool.

Reading news in a folder/item email style metaphor is not as effective for the mainstream as having it flow by.

Note that I say the mainstream. Many of us early adopter control freaks like to read every item and have plenty of time to bury our heads in news readers. But that is not always the case - not all the time. An information flow (river of news, news ticker, popup alerts) is typically more effective.

Our work in the field of Attention is not about fighting off flow, it is about regulating the flow so that the stream is full of good content.

The APML Business Imperative

Ian has a great write-up about why he loves APML.

He writes:

This got me thinking too, what if other more established places like Trustedplaces, Last.FM, etc also gave away a APML file as part of the profile of each user?

One of the things I loved about APML is the Implicit Data (U-AR) and Explicit Data (I-AM) elements. You can just imagine how simple it would be to output APML from something Last.FM. (whats below isn't true APML markup, just my lazy json like writing)

Implicit (U-AR) last.fm {
concept{ Ferry Corsten = 0.87 }
concept{ Armin Van Buuren = 0.90 }
concept{ Sugar Babes = 0.1 }
concept{ Lemonhead = 0.00001 }
}

He also mentions being asked "What is the business imperative to support such a thing".

In other words - if companies make their money from data lockin - then why would they want to give that data away.

I would suggest that anyone asking that question consider that publishers used to think like that. Now they all support RSS.

If feed readers thought like that, then OPML support and the rise of proper and continued innovation in the space may not have occurred.

If you are a smaller guy, supporting APML means that users can jump in and get started quickly. The barrier to entry is lowered.

If you are a bigger player it means an increasingly savvy user base will continue to trust your data mining activities. Also it means you can get a more complete picture of your users if they choose to share their APML from other services. It also means you become part of an ecosystem instead of a data silo - data silos are dead.

In the era of user empowerment, the business imperative is: play nice or users will move to other services that respect their rights. Just watch the mad rush to Facebook.

Announcement: Particls goes into Public Beta

After many months of anticipation, we are happy to announce that Particls is going Public Beta today.

For users: Particls is a filtered news reader or widget that learns what you care about and alerts you to important news and information while you work. More at www.particls.com

For bloggers and site owners: Particls allows bloggers and site owners to create a custom version of the application. Particls will share revenue with partners. More at www.particls.com/about/publishers

For developers: Particls is freely extensible by developers. Reach into corporate databases and web APIs to grab and display data in new and interesting ways. More at http://www.particls.com/extensions/

How much is it: Particls is a free download with some ads. Later, an ad-free Pro version will be available for a small subscription fee. It is free for Partners to create custom versions.

What's new in public beta: Particls is now no longer invite only. Anyone will be able to download it from the download page. Also, bloggers can now embed Particls widgets on the blog sidebars or create white label version of Particls. Learn more here.

Got a Mac: We love Mac - A Mac native version is coming. Here are some instructions to use parallels or watch the demos.

Sending feedback: The Particls team loves feedback - get int touch via: Email, Tangler, Twitter, and of course, right here in the comments

A little about Particls - for end users
The web is just too big. No one has time to keep track of all the sites, conversations and interesting bits and pieces that are out there. We each have real work to do and lives to live!

Particls helps you track your favorite sites and applications by displaying desktop alerts for important changes.

Subscribe to the sites you like best, and then when they change you're notified. Particls can even work out how important the new information is and display an alert that is proportional to its importance to you.

For example, general information might be displayed on a news ticker, important stuff might appear on a popup alert and urgent information might be SMS'd to your phone.

Think of it like a highly advanced widget or filtered feed reader.

A little about Particls - for bloggers and site owners
Through the Particls partner program, bloggers and site owners can create a custom version of Particls. They can change the skin, default feeds and default Attention Profile to give users their own branded desktop notification system.

By integrating Particls into their site, partners get more return traffic, their brand on desktops everywhere and a share of revenue.

This service is free for partners to participate in. Learn more at www.particls.com/intouch

A little about Faraday Media
Particls is owned and operated by Faraday Media. Faraday was founded by 2 'Twenty Something' Australian entrepreneurs.

Faraday Media focuses on helping users deal with information overload by creating tools that generate a highly personalized view of worldwide information and entertainment media.

The company has been in operation since July 2006 (product development started earlier in January 2006). In that time it has launched Alpha and Beta versions of Particls to over 4000 self-subscribed testers, secured Angel Funding and attracted attention from global media and financial services brands as well as high-profile technology leaders.

The company has also been an active contributor to the community founding the APML and Media 2.0 workgroups and open sourcing some of its software.

More Information

More information for bloggers can be found on the website or contact Chris Saad (Co-Founder/CEO) at chris@particls.com

Thanks
We would like to thank all those who have made it possible for us to get to this major milestone. Your generous help and advice has been always been very much appreciated.

Coverage
Coverage has already started:

Liako
Read/Write Web
Profy
Mashable
StartupSquad
The Podcast Network
Techcrunch
Techmeme
Daniela Barbosa
Daniela's awesome Video (must watch!)
Emily Chang
Cleverclogs
Interview with Chris Saad on Gizbuzz

Should We Be Afraid Of Google's Total Information Awareness?

Scott Karp asks "Should be affraid of Google's Total Information Awareness?"

I think that's the wrong question.

The question should be how can we create and support tools and standards that force open portability of our personal information so we can choose to opt out of a given service and move to another.

Attention Metrics and the Enterprise

Tim Bull takes up my post about Audient, Attent and Life Streams and asks how it can be applied to the Enterprise (Tim himself is responsible for adopting cutting edge stuff for his major enterprise employer).

He writes:

"I'm going to add to the call-to-arms from the Enterprise point of view. The ability to understand not just what people click on, but the attention they give to elements of the new, rich media world is crucial. Detailed information that goes beyond "IP Address loaded page X" and various derivatives of this is crucial."

He goes on to write:

"...I think we DO need a standard for aggregating attention data from all the different clients people use during a day, for the very simple reason that in Enterprises understanding what people are using and how they are using it is a crucial part of the delivery eco-system for information. It's the feedback loop that lets you know you're getting it right.

It may be useful for bloggers etc. as well, but I think the problem should be focused on the Enterprise as this is where the "real" need is (I show my bias here, but I don't believe I as a blogger need to know in great detail who looks at what, but as an Enterprise of 160,000 people globally I do need to understand where and how my information is flowing)."

I commented on Tim's post about Enterprise adoption of Web 2.0 technologies and philosophies. I will re-phrase and expand it here...

I agree that Enterprises would greatly benefit from the sort of tools and philosophies that are happening out here on the edge. The marketplace, however, does not make it friendly for startups to target the enterprise.

Most enterprises are wary of change. Even when they are open to trying new things, most (rightly) require many more features to make the solution work in an enterprise environment - which can be a cost that startups can't absorb straight out of the gate.

Even if a startup is willing to tackle these barriers, however, they have to invest in sales and support teams to generate adoption. After all that, most enterprises don't trust small startups and just wait for the big vendors to come with similar offerings.

Attensa and Newsgator are doing a great job fighting to create adoption in Enterprise 2.0 - but they are, by the nature of their target market, forced to be conservative in their implementations and focus on a lot of plumbing and command and control issues that bog down investment in innovation for end-users.

All that being said, however, it is clear that consumer technologies are quickly being adopted by enterprises because those technologies are usually more end-user focused.

There was nothing worse than the old CRM and ERP systems that ended up causing a lot of headaches for end-users because they focused on enterprise objectives rather than making someone's day better.

By breeding technologies in the consumer market and then adapting them to the enterprise, the result is much more user-friendly. They have to be. Because end-users don't have management telling them they have to use the given tool. In the end, enterprises are forced to adapt to the most popular tools. They are still working on getting IM support right.

Getting back to the original subject, however. I agree with Tim that forging an open standard for Audient and Attent Streams can have profound impacts for both the media and for business. It could be based on Attention.XML but it would need to encapsulate far more information than just clickstreams and form data.

Life after pageviews: Proposing AudientStream and AttentStream

There is an ongoing discussion about the usefulness of the pageview. Scoble has once again raised the issue as well.

I'd like to make a proposal. Why can't the tools themselves - embedded players, browsers, second life clients, readers etc report back deep Attention/Engagement metrics?

First, some background...

A Lifestream

A LifeStream is an established concept and has been talked about by a number of people including Emily Chang, Stowe Boyd and others. It is an outgoing channel/record of everything you do/produce aggregated into a single feed.

Consider though, that this is actually a stream of your Attention Data. Data that represents what you have paid Attention to in the past. Some call it an Attention Stream.

In keeping with this theme, I would like to propose 2 additional concepts.

AudientStream 

An AudientStream (An Audient is defined as someone who pays Attention to another) is a channel/record of everything you might need to pay Attention to in the future. 

A simple example of an AudientStream might be all the RSS feeds in your OPML file aggregated together. 

A more sophisticated example would be an aggregated feed of your OPML file ranked against your APML file (using something like Particls).

Unlike a Lifestream, it is a list of things you are YET to see.

Unlike just you OPML file, it might include Twitter items, email, etc.

AttentStream

This is where I think we can make an impact on the Pageviews and metrics problem.

An AttentStream (An Attent

is defined

as someone who receives Attention from another) is a channel/record of others paying Attention to you. This would be a stream of events (preferably attributed to people) that signify Attention given to you by another.

The AttentStream would come from the tools that people use to pay attention. Browsers, Readers, Embedded Players, the Flash Player, Adobe Reader, the SecondLife Client etc, etc. Because the tool itself does the reporting it can report more subtle information that can't be gathered on the server. Think of it like distributed analytics.

An example of an AttentStream might be if the YouTube player reported each time a video was played - how much of the video was played and by which user. This way authors can get Attention information about content they were involved in producing.

The information would not just include page impressions or views. It would include richer things like time spent, partial views etc.

Each tool might produce an RSS feed that can be aggregated together by existing or new metrics companies like Compete, Buzzlogic and Feedburner.

With an AttentStream one could do basic things like displaying the identity of your subscribers (those that grant permission) much like Twitter shows your followers.

It could also do more advanced things like going beyond the pageview to give you more information about who is spending time on your content with or without a click.

I would volunteer

Particls

to testbed this type of system for publishers. If the community likes the idea and we come up with a concrete implementation we will be the first to provide reports to publishers about the amount of visibility their content has received from our users who opt into providing that information.

This does not just mean just click throughs (which can already be measured with Analytics packages and Feedburner) but rather more subtle gestures like 'time spent' viewing the content via a popup alert or on the ticker. These are more subtle, yet equally important forms of Attention giving and engagement.

Join the conversation

This is just the beginning of an idea. Join the conversation and suggest some concrete implementations.

Drop me a line

if you are interested in helping out or join us on

Tangler

for real-time chat.

Update

Elias has

written a follow up

discussing the motivations behind collecting this sort of data. I have also responded in his comments to further clarify my thoughts.

Google is exposing more of your Attention Data

As we've mentioned before, Google is collecting your Attention Data. They have been doing it for a long time. So has Amazon and others. They use it to learn about you as an individual and us as a market.

Today Google has decided to expose more of that Attention Data back to you and allow you to search on it.

From the blog post:

"Today, we're pleased to announce the launch of Web History, a new feature for Google Account users that makes it easy to view and search across the pages you've visited. If you remember seeing something online, you'll be able to find it faster and from any computer with Web History. Web History lets you look back in time, revisit the sites you've browsed, and search over the full text of pages you've seen. It's your slice of the web, at your fingertips."

Well done to Google, but there are still a number of open questions.

1. Why can't we export this data as Attention.xml and APML?
2. Is there a way to turn this feature off while still using the Toolbar?
   
3. What is the endgame of all this data collection - how is it used (both for our benefit and theirs)
   
4. Are they trying to help create an Attention Economy, or are they trying to dominate it?

Ultimately though, if Google releases these sorts of features in an open and transparent way (answering each of the questions above) they could help users and the industry better understand the value of Attention Data.

If not, it could cause unnecessary fear and doubt and break their own rules about avoiding the dark side.

Announcement: APML Open Source Libraries in C#

In yet another milestone for the APML Workgroup and the APML format, we have published the first open source libraries for loading and manipulating APML files.

From the site:

APML will allow users to export and use their own personal Attention Profile in much the same way that OPML allows them to export their reading lists from Feed Readers.

The idea is to boil down all forms of Attention Data – including Browser History, OPML, Attention.XML, Email etc – to a portable file format containing a description of ranked user interests.

These libraries are a result of months of R&D and iteration by the Faraday Media development team and we donate them to the community in the spirit of open collaboration and mutual benefit. They are released under the extremely liberal Apache 2.0 license.

We encourage anyone who would like to support or modify the libraries to get in touch so we can help in any way we can.

My thanks to Ashley our CTO and Mike and Paul the two ninja programmers who have been involved with the library and the APML workgroup who's input has helped to create the 0.6 spec.

We look forward to seeing what new and interesting projects get created with this resource.

The repository can be found on Google Code.

Web 3.0 - Attention Management

I've written a few times about Web 3.0 before. I have been pretty dismissive to say the least. The definitions keep shifting and none of them particularly convince me that the paradigm change is sufficient enough to justify a version number change.

In recognition of that confusion, there has been a fun competition run by Read/Write Web for a one line description. As part of the converage, James Brown claims that Web 3.0 is actually about better metadata and smart agent-side filtering.

As an example - he cites Particls:

"But perhaps the next step is for it to analyse attention data, like which articles I delete and which I click through; then apply some clever filters appropriately. It looks like Google is on the way to doing this.

And then there's tools like Particls. Formerly called Touchstone, this is a "personalised news and alert service" which monitors the internet, your feeds and other information like your calendar and emails, learns which are important to you, and alerts you in different ways according to their importance."

I do think that intelligent filtering on the agent-side is important (what a surprise hey!) but I am not sure it's called web 3.0. It's called Personalized Aggregation, or Personal Relevancy or Attention Management - and it can fit neatly into the current web.

And next... it needs to move into Media 2.0

Announcement: Particls Private Beta released

Hi everyone,

We would like to announce that the first full private release of Particls Beta has been distributed. If you signed up to our mailing list your invite should be in your inbox.

All those months of locking Ashley in the programming box have paid off!

On behalf of all the team I would like to thank all the people who have made this milestone possible. You all know who you are but if I may highlight a few below (in no particular order!):

• Ashley Angell
• Nik Seirlis
• Stephen Kelly
• Cody Robb
• Paul Jones
• Michael McNeil
• Michael Starky
• Julie Angell
• Marty Wells
• Michael Liubinskas
  
• Marjolein Hoekstra
  
• Ben Metcalfe
• Daniela Barbosa
  
• Marianne Richmond
• The Alpha and Beta testers of Touchstone and Particls

Thanks everyone

We look forward to your feedback.

Missed out? Drop me a line and the next 50 requests get an instant invite.

Update: The 50 Slots have been filled. But keep paying attention.

Announcement: Touchstone renamed to Particls

In anticipation of a wider release of the Application, we are excited to announce a new name for Touchstone. Introducing... Particls.

And, of course, a new domain at www.particls.com. Please update your links!

Why the name change?
We feel that Particls better reflects our future plans for the product as it evolves into the definitive tool to manage and filter your incoming personal information.

Stay tuned... more updates soon!

Twitter vs. Jaiku vs. Loopnote

I avoided writing about twitter for a long time - everyone has posted how wonderful it is. Even mainstream media including the local Australian Financial Review (in which I was quoted).

There are two main reasons why Twitter is so great.

1. It's dead simple
2. It has lots of great people on it.

As Robert said in one of his Twitters:

"theuer: well, Jaiku is reacting slower than Twitter. It requires more clicks to see your messages than Twitter. And is more complicated. I never knew of it until today, which isn't saying much. What's cool about both of these is the people on them. NOT the technology."

The success of Twitter, though, makes me both happy (to see something grow so quickly and succeed so much - we should all be so lucky) and sad (to see two other services in the same space loose out on all the hype just because the 'right' people were using the competition).

Both Leo (TWiT fame) and Scoble got into Twitter around the same time and started a huge Twitter land rush. That, combined with a celebrity co-founder (Ev - of Blogger fame) made Twitter an instant success.

I actually posted about Twitter and Jaiku a long time before it became popular and actually said that Jaiku was better. But I think I made a mistake. A mistake the Robert Scoble repeated today in a discussion on Twitter itself.

Both he and I (much earlier) compared the two and equated them to the same thing.

I actually think they are quite different. Twitter is simpler, but Jaiku is attempting to be something more comprehensive and different than Twitter. The two can actually co-exist and compliment each other.

While Twitter strives to answer one question "What are you doing", Jaiku asks a very different question (implicitly). It asks "Who are you".

Where Twitter has evolved into almost a chat room, Jaiku has evolved into a Lifestream.

What's the difference? Well what you chat about and 'do' is only part of the picture. There are also photos, bookmarks, blog posts, music selections and more - each of which are not found on your Twitter stream. In fact I have seen many argue that they should NEVER be found in Twitter. Twitter is for human updates about human things.

The advantage of a Lifestream is that it creates a living record of ALL your digital activities. Jaiku calls them Presence Streams - but they are the same thing.

My Jaiku Presence Stream has my blog posts, my Twitter stream and my Flickr photos. Others include their del.icio.us links and more. While there are hacks and mashups out there to make RSS imports into Twitter possible - I don't think it belongs there.

So now Leo is moving to Jaiku. Does this mean everyone else will follow him? Robert already has.

With all the Attention being paid to both these services, a little known service called Loopnote is being overlooked. In part this is because their team is not engaged in the conversation. If you read the comments on Robert's post about setting up a Jaiku account, Martin (who I presume is the CEO of Loopnote) is asking frantically why no one is paying attention to his product.

As Robert says - you have to join the conversation Martin.

Maybe Loopnote is not quite as good as Twitter (for example it seems to have more of a focus on announcements from groups to individuals rather than individuals to individuals), but it's also a little bit of luck. If Leo stumbled into Loopnote first, maybe the whole thing would have gone a different way.

This post is getting a little long.. but I'd also like to point out a very clever observation that Robert makes on this post about Twitter's potential for advertisers.

"You're missing the even bigger opportunity for marketers: people are telling us WHAT THEY USE and WHAT THEY LIKE.

If you can listen and learn to engage people on Twitter you'll find a marketing goldmine here. If I were really smart, I'd hire a team to categorize each Twitterer 24-hours-a-day. I'd start building a database of behaviors shared.

Someone say "changing the diapers." Well, now we know they have a newborn at home. What could marketers do with THAT? TONS!"

What you are actually talking about is 'Attention Data' Robert. I think that Jaiku does a better job at getting a complete picture of your Attention Data (considering you can stream all your personal RSS into it). But rather than give it to advertisers (yuk) there are opportunities to create personal filters out of the information to help reduce information overload.

See: APML and Touchstone. More on this later.

Attention Metric

Our friends over at Compete.com (fellow APML Workgroup members) have launched a new metric called 'Attention'

While I am not sure I 100% agree with the way they calculate it, it is yet another example of the value of Attention in the new media landscape.

Announcing second intake of participants for the APML Workgroup

Today we are announcing a second intake of participants in the APML Workgroup. APML stands for Attention Profiling Markup Language.

From the website:

APML will allow users to export and use their own personal Attention Profile in much the same way that OPML allows them to export their reading lists from Feed Readers. The idea is to boil down all forms of Attention Data - including Browser History, OPML, Attention.XML, Email etc - to a portable file format containing a description of ranked user interests.

The new participants are:

• Sam Sethi (Vecosys)
• Daniel Winterstein (ThinkTank Maths)
• Steve Williams (Programmer, Digg)
• David Cancel (Co-Founder, Compete.com)
• Richard Giles/Graeme Sutherland (Co-Founders, Scouta.com)
• Elias Bizannes

They join the existing group:

• Chris Saad/Ashley Angell (Co-Founders, Faraday Media/Touchstone)
• Paul Jones (Senior Architect, Faraday Media/Touchstone)
• Mitch Ratcliffe (Co-Founder, Buzzlogic)
• Chris Messina (Citizen Agency)
• Daniela Barbosa (Solutions Architect, Dow Jones)
• Phil Morle (VP Attention, Yoick)
• Ben Metcalfe (Social Media Consultant)

The APML Workgroup is tasked with converting the current specification into an agreed standard.

It has already started its work with a revised spec. More information can be found on the APML website at www.apml.org

We invite all the players in or around the Attention Economy to join us in refining, implementing and evangelizing APML. To join the Workgroup please contact us with your qualifications.
Members of the general public are invited to join the mailing list (via the APML.org website) forums or blog to provide feedback.

More about APML
In a world where our online footprints (Attention Data) are measured, dissected, analyzed and used to better target us with content and advertising, APML represents a way for users to take back control of their own Attention Profile.

In order for the study of 'Attention' to evolve into the Attention Economy we must have a way to export, own, trade and assign value to our own Attention Profiles. APML promises to become an important part of the solution and we believe this announcement is a significant milestone in it's development.

Attention Profiles will become our digital fingerprints and will eventually have implications for all aspects of our lives including Media, Business and Lifestyle.

Stay tuned...

Your Attention Profile - The Non-Evil Way

Aaron Mentele from FeedRinse has posted about APML.

He says:

"Chris Saad and Ashley Angell of Faraday Media / Touchstone have introduced a standard format for attention data. I’ve had a chance to look through the APML (Attention Profiling Mark-up Language) proposal, and short of seeing the word Profiling and noticing email address as an attribute in the profile, it looks promising. I can see a benefit to having an agreed-upon format for attention profiles, similar to the HL7 spec for personal health information."

It's a great read about Attention Profiling in general - check it out.