Category: DataPortability (Page 4 of 5)

Control doesn’t necessarily mean access

March 4, 2008 / elias

I was approached by multiple people – PR professionals and journalists alike – after I gave my presentation at the kickstart forum yesterday. Whilst I doubt DataPortability is something they will pick up on for feature stories given the product focus these journalists have, the conversations with them were extremely encouraging and I am thank full to get their feedback.

One conversation particularly stood out for me, which was with John Hepworth – a former engineer whose has been freelance writing for over 20 years, and it was in the context of the ability to port your health information. I’ve been thinking a lot of the scenario whereby consumers can move their health records from clinics, and with Google Health launching and the discussions in the DataPortability forums I am certainly not alone. Something that caught my attention was Deepak Singh who recently posted an interesting perspective: we shouldn’t give users access to their health records, because they will make uninformed judgments if they have control of them. That’s an excellent point, but one which prickles the whole issue of not just who owns your data, but who should have access to it (including yourself).

Hepworth provided a simple but extremely insightful position to this issue: you don’t need to give users the ability to see their data, for them to control it. Brilliant!

The benefits of controlling your data, needs to be looked at not just in the context of the laws of a country, but on the net benefit it provides to an individual. Comments provided by your physicians in your medical history, whilst although they deserve to be given ownership to the individual they are about, they also need to be given access to people who are qualified to make educated judgments. In others words, you should have the right to port your data to another doctor, but you should only have access to it in the presence of a qualified doctor.

DataPortability should not equate in you seeing your data all the time – rather it should be about determining how it gets used by others.

My presentation at Kickstart forum

March 3, 2008 / elias

I’m currently at Kickstart forum (along with the Mickster), and I just gave a presentation on DataPortability to a bunch of Aussie journalists. I didn’t write a speech, but I did jot down some points on paper before I spoke, so I thought I might share them here given I had a good response.

My presentation had three aspects: background, explanation, and implications of DataPortability. Below is a summary of what I said

Background

Started by a bunch of Australians and a few other people overseas in November 2007 out of a chatroom. We formed a workgroup to explore the concept of social network data portability
In January 2008, Robert Scoble had an incident, which directed a lot of attention to us. As a consequence, we’ve seen major companies such as Google, Microsoft, Yahoo, Facebook, Six Apart, LinkedIn, Digg, and a host of others pledge support for the project.
We now have over 1000 people contributing, and have the support of a lot of influential people in the industry who want us to succeed.

Explanation

The goal is to not invent anything new. Rather, it’s to synthesise existing standards and technologies, into one blueprint – and then we push it out to the world under the DataPortability brand
When consumers see the DataPortability brand, they will know it represents certain things – similar to how users recognise the Centrino brand represents Intel, mobility, wireless internet, and a long battary life. The brand is to communicate some fundamental things about a web service, that will allow a user to recognise a supporting site respects it’s users data rights and certain functionality.
Analogy of zero-networking: before the zeroconf initiative it was difficult to connect to the internet (wirelessly). Due to the standardisation of policies, we can now connect on the internet wirelessly at the click of a button. The consequence of this is not just a better consumer experience, but the enablement of future opportunities such as what we are seeing with the mobile phone. Likewise, with DataPortability we will be able to connect to new applications and things will just “work” – and it will see new opportunity for us
Analogy of the bank: I stated how the attention economy is something we give our attention to ie, we put up with advertising, and in return we get content. And that the currency of the attention economy is data. With DataPortability, we can store our data in a bank, and via “electronic transfer”, we can interact with various services controlling the use of that data in a centralised manner. We update our data at the bank, and it automatically synchronises with the services we use ie, automatically updating your Facebook and MySpace profiles

Implications

Interoperability: When diverse systems and organisations work together. A DataPortability world will allow you to use your data generated from other sites ie, if you buy books on Amazon about penguins, you can get movie recommendations on your pay TV movie catalog for penguins. Things like the ability to log in across the web with one sign-on, creates a self-supporting ecosystem where everyone benefits.
Semantic web: I gave an explanation of the semantic web (which generated a lot of interest afterwards in chats), and then I proceeded to explain that the problem for the semantic web is there hasn’t been this uptake of standards and technologies. I said that when a company adopts the DataPortability blueprint, they will effectively be supporting the semantic web – and hence enabling the next phase of computing history
Data rights: I claimed the DataPortability project is putting data rights in the spotlight, and it’s an issue that has generated interest from other industries like the health and legal sectors, and not just the Internet sector. Things like what is privacy, and what exactly does my “data” mean. DataPortability is creating a discussion on what this actually means
Wikiocracy: I briefly explained how we are doing a social experiment, with a new type of of governance model, which can be regarded as an evolution of the open source model. “Decentralised” and “non-hierarchical”, which with time it will be more evident with what we are trying to do

Something that amused me was in the sessions I had afterwards when the journalists had a one-on-one session with me, one woman asked: “So why are you doing all of this?”. I said it was an amazing opportunity to meet people and build my profile in the tech industry, to which she concluded: “you’re doing this to make history, aren’t you?”. I smiled 🙂

An opportunity to make your mark

February 24, 2008 / elias

In case you missed the news, the DataPortability Project received a cease and desist letter from Red Hat, because the logo is too similar to the Fedora logo. You can find out more on the coverage by Read/Write web and TechCrunch

As a result, we are launching a competition to design a new logo: read the announcement on Chris’s blog. Already we have received some generous corporate support, which includes an Apple iPhone, several hundred dollars worth of cash, credits, or other merchandise, free advertising on some of the leading technology blogs and other prizes and more to come. But there’s a few other things that people do not realise which I am going to detail here.

Exposure!

When Michael Pick created a video for the DataPortability Project last month, never did he expect such a reaction. I was talking to Michael about the reaction and he said: “I haven’t stopped for breath since about a week after the dp video went live”.

I asked him to elaborate so I could quote him on this post, and he says:

Working with the DataPortability project gave me the chance to not only support something I believe in, but has also been a huge success in generating new clients and some exciting projects as a direct consequence. Say something like that only less retarded. DataPortability design = $ + kudos + panties in the mail

And he’s not exaggerating. As I write this nearly 17,000 people have seen the video in the last month – and that’s just on Vimeo.

Aside from great prizes and guaranteed exposure, something else is at stake: you will be creating an icon that will be pushed to the world in a big way. I play a role with DataPortability trying to manage the hundreds of passionate people wanting to contribute, and I can assure you, there are plenty of conversations and plans on how we are going to be applying the DataPortability brand to the world. Remember, a core purpose of the DataPortability project is to synthesise existing efforts into one coherent framework. Just like when you see the RSS icon in browser status bar or on a website, so too will the DataPortability icon be used in the world to denote something about the service that holds the icon.

So you have until March 11 before we close the submission process. What are you waiting for – this is a chance to make a mark on the world!

Summary
– Competition for a new DataPortability logo

– Deadline 11 March 2008

– The logo should:

Be distinct, unique and easily identifiable
Remain clear and identifiable at small sizes (e.g. 16?ó16)
Convey the concept of moving/owning/syncing data
Aesthetically fit in with a broad range of site/application designs
Provide a clear silhouette that can be rendered in multiple colors

– Submit your entry on the Flickr pool

Facebook’s privacy is smart on technology but stupid in thought

November 4, 2007 / elias

I’ve had to neglect this blog because I have been insanely busy with work and my studies, and will continue to do so for the rest of the year. But I thought I’d post a quick observation I made today, that I found interesting. Even more interesting, because I rarely notice details!

Whenever Facebook notifies you of an e-mail – like for example when a friend messages you – it will actually show you their e-mail. An example is in the screen shot below, which would enable me to click ‘reply’ to their e-mail and it would go directly to their personal e-mail. (I’ve noticed however, that this will only occur if you have already added the person as a friend.)

This raises some interesting issues regarding privacy. The first being, why the heck is Facebook allowing this? Am I going to reply to my friends asking them what did they say in the message?! Privacy is my right to determine when people can see information about me when I want to – and I don’t want my friends seeing my e-mail. I can think of an example when a friend collected my e-mail from my profile, and adding me to a forward list of chain e-mails. Unlike the postal system for snail mail, where people pay for sending me a message with a stamp, e-mail forces the user to pay when they receive a message through their time. Before I didn’t have a choice, but now with new ways of communicating, I can control what gets sent to me.

This actually is a bit deeper. I’ve seen fake profiles friend request me – I always deny people I don’t know, but I know that lots of my friends usually add people blindly (I remember asking a friend who a friend requester was when I noticed she was a mutual friend with him, to which he replied: “No idea, but she’s hot!”). This now just became a very easy way to obtain someones e-mail – certainly, not as easy as harvesting e-mails from a public facing website, but still another means. The concerns however is not spam but identity threats.

A crucial thing to understand about privacy, is the concept of identifiable data. Corporations can collect data about me until their heart is content and I wouldn’t mind- but only on the basis they can’t specifically identify me. An e-mail address is what I regard as identifiable information: the e-mail I use on various web services that hold different data about me, can be easily linked purely through my e-mail address.

I’ve previously said how social networking sites are a new type of communications, that are far better than e-mail. E-mail is one of the worlds most powerful technologies but also one of the most dangerous. Whilst most would think it is because of e-mail overload and spam, what I really mean is how a single e-mail address can do so much damage if used by someone trying to investigate you and your life.

As our digital world becomes more sophisticated (and scary), lets be clear of some things. People no longer need e-mail to contact you; they can instead contact your ‘identity’ which is far superior (I discussed this in the posting I linked to just above). However with this advancement, also comes the opportunity to regard what your e-mail address really is: a key piece of identifiable data that can link your multiple identity’s across the digital world into one mega profile.

How Google reader can finally start making money

October 17, 2007 / elias

Today, you would have heard that Newsgator, Bloglines, Me.dium, Peepel, Talis and Ma.gnolia have joined the APML workgroup and are in discussions with workgroup members on how they can implement APML into their product lines. Bloglines created some news the other week on their intention to adopt it, and the announcement today about Newsgator means APML is now fast becoming an industry standard.

Google however, is still sitting on the side lines. I really like using Google reader, but if they don?¢‚Ç¨‚Ñ¢t announce support for APML soon, I will have to switch back to my old favourite Bloglines which is doing some serious innovating. Seeing as Google reader came out of beta recently, I thought I?¢‚Ç¨‚Ñ¢d help them out to finally add a new feature (APML) that will see it generate some real revenue.

What a Google reader APML file would look like
Read my previous post on what exactly APML is. If the Google reader team was to support APML, what they could add to my APML file is a ranking of blogs, authors, and key-words. First an explanation, and then I will explain the consequences.

In terms of blogs I read, the percentage frequency of posting I read from a particular blog will determine the relevancy score in my APML file. So if I was to read 89% of Techcrunch posts ?¢‚Ç¨‚Äú which is information already provided to users ?¢‚Ç¨‚Äú it would convert this into a relevancy score for Techcrunch of 89% or 0.89.

APML: pulling rank

In terms of authors I read, it can extract who posted the entry from the individual blog postings I read, and like the blog ranking above, perform a similar procedure. I don?¢‚Ç¨‚Ñ¢t imagine it would too hard to do this, however given it?¢‚Ç¨‚Ñ¢s a small team running the product, I would put this on a lower priority to support.

In terms of key-words, Google could employ its contextual analysis technology from each of the postings I read and extract key words. By performing this on each post I read, the frequency of extracted key words determines the relevance score for those concepts.

So that would be the how. The APML file generated from Google Reader would simply rank these blogs, authors, and key-words – and the relevance scores would update over time. Over time, the data is indexed and re-calculated from scratch so as concepts stop being viewed, they start to diminish in value until they drop off.

What Google reader can do with that APML file
1. Ranking of content
One of the biggest issues facing consumers of RSS is the amount of information overload. I am quite confident to think that people would pay a premium, for any attempt to help rank the what can be the hundreds of items per day, that need to be read by a user. By having an APML file, over time Google Reader can match postings to what a users ranked interests are. So rather than presenting the content by reverse chronology (most recent to oldest); it can instead organise content by relevancy (items of most interest to least).

This won?¢‚Ç¨‚Ñ¢t reduce the amount of RSS consumption by a user, but it will enable them to know how to allocate their attention to content. There are a lot of innovative ways you can rank the content, down to the way you extract key works and rank concepts, so there is scope for competing vendors to have their own methods. However the point is, a feature to ?¢‚Ç¨ÀúSort by Personal Relevance?¢‚Ç¨‚Ñ¢ would be highly sort after, and I am sure quite a few people will be willing to pay the price for this God send.

I know Google seems to think contextual ads are everything, but maybe the Google Reader team can break from the mould and generate a different revenue stream through a value add feature like that. Google should apply its contextual advertising technology to determine key words for filtering, not advertising. It can use this pre-existing technology to generate a different revenue stream.

2. Enhancing its AdSense programme

Targeted advertising is still bloody annoying

One of the great benefits of APML is that it creates an open database about a user. Contextual advertising, in my opinion is actually a pretty sucky technology and its success to date is only because all the other types of targeted advertising models are flawed. As I explain above, the technology instead should be done to better analyse what content a user consumes, through keyword analysis. Over time, a ranking of these concepts can occur ?¢‚Ç¨‚Äú as well as being shared from other web services that are doing the same thing.

An APML file that ranks concepts is exactly what Google needs to enhance its adwords technology. Don?¢‚Ç¨‚Ñ¢t use it to analyse a post to show ads; use it to analyse a post to rank concepts. Then, in aggregate, the contextual advertising will work because it can be based off this APML file with great precision. And even better, a user can tweak it ?¢‚Ç¨‚Äú which will be the equivalent to tweaking what advertising a user wants to get. The transparency of a user being able to see what ‘concept ranking’ you generate for them, is powerful, because a user is likely to monitor it to be accurate.

APML is contextual advertising biggest friend, because it profiles a user in a sensible way, that can be shared across applications and monitored by the user. Allowing a user to tweak their APML file for the motivation of more targeted content, aligns their self-interest to ensure the targeted ads thrown at them based on those ranked concepts, are in fact, relevant.

3. Privacy credibility
Privacy is the inflation of the attention economy. You can?¢‚Ç¨‚Ñ¢t proceed to innovate with targeted advertising technology, whilst ignoring privacy. Google has clearly realised this the hard way by being labeled one of the worst privacy offenders in the world. By adopting APML, Google will go a long way to gain credibility in privacy rights. It will be creating open transparency with the information it collects to profile users, and it will allow a user to control that profiling of themselves.

APML is a very clever approach to dealing with privacy. It?¢‚Ç¨‚Ñ¢s not the only approach, but it a one of the most promising. Even if Google never uses an APML file as I describe above, the pure brand-enhancing value of giving some control to its users over their rightful attention data, is something alone that would benefit the Google Reader product (and Google?¢‚Ç¨‚Ñ¢s reputation itself) if they were to adopt it.

Privacy. Stop looking.

Conclusion
Hey Google – can you hear me? Let’s hope so, because you might be the market leader now, but so was Bloglines once upon a time.

Explaining APML: what it is & why you want it

October 10, 2007 / elias

Lately there has been a lot of chatter about APML. As a member of the workgroup advocating this standard, I thought I might help answer some of the questions on people’s minds. Primarily – “what is an APML file”, and “why do I want one”. I suggest you read the excellent article by Marjolein Hoekstra on attention profiling that she recently wrote, if you haven’t already done so, as an introduction to attention profiling. This article will focus on explaining what the technical side of an APML file is and what can be done with it. Hopefully by understanding what APML actually is, you’ll understand how it can benefit you as a user.

APML – the specification
APML stands for Attention Profile Markup Language. It’s an attention economy concept, based on the XML technical standard. I am going to assume you don’t know what attention means, nor what XML is, so here is a quick explanation to get you on board.

Attention
There is this concept floating around on the web about the attention economy. It means as a consumer, you consume web services – e-mail, rss readers, social networking sites – and you generate value through your attention. For example, if I am on a Myspace band page for Sneaky Sound System, I am giving attention to that band. Newscorp (the company that owns MySpace) is capturing that implicit data about me (ie, it knows I like Electro/Pop/House music). By giving my attention, Newscorp has collected information about me. Implicit data are things you give away about yourself without saying it, like how people can determine what type of person you are purely off the clothes you wear. It’s like explicit data – information you give up about yourself (like your gender when you signed up to MySpace).

I know what you did last Summer

XML
XML is one of the core standards on the web. The web pages you access, are probably using a form of XML to provide the content to you (xHTML). If you use an RSS reader, it pulls a version of XML to deliver that content to you. I am not going to get into a discussion about XML because there are plenty of other places that can do that. However I just want to make sure you understand, that XML is a very flexible way of structuring data. Think of it like a street directory. It’s useless if you have a map with no street names if you are trying to find a house. But by having a map with the street names, it suddenly becomes a lot more useful because you can make sense of the houses (the content). It’s a way of describing a piece of content.

APML – the specification
So all APML is, is a way of converting your attention into a structured format. The way APML does this, is that it stores your implicit and explicit data – and scores it. Lost? Keep reading.

Continuing with my example about Sneaky Sound System. If MySpace supported APML, they would identify that I like pop music. But just because someone gives attention to something, that doesn’t mean they really like it; the thing about implicit data is that companies are guessing because you haven’t actually said it. So MySpace might say I like pop music but with a score of 0.2 or 20% positive – meaning they’re not too confident. Now lets say directly after that, I go onto the Britney Spears music space. Okay, there’s no doubting now: I definitely do like pop music. So my score against “pop” is now 0.5 (50%). And if I visited the Christina Aguilera page: forget about it – my APML rank just blew to 1.0! (Note that the scoring system is a percentage, with a range from -1.0 to +1.0 or -100% to +100%).

APML ranks things, but the concepts are not just things: it will also rank authors. In the case of Marjolein Hoekstra, who wrote that post I mention in my intro, because I read other things from her it means I have a high regard for her writing. Therefore, my APML file gives her a high score. On the other hand, I have an allergic reaction whenever I read something from Valleywag because they have cooties. So Marjolein’s rank would be 1.0 but Valleywag’s -1.0.

Aside from the ranking of concepts (which is the core of what APML is), there are other things in an APML file that might confuse you when reviewing the spec. “From” means ‘from the place you gave your attention’. So with the Sneaky Sound System concept, it would be ‘from: MySpace’. It’s simply describing the name of the application that added the implicit node. Another thing you may notice in an APML file is that you can create “profiles”. For example, the concepts about me in my “work” profile is not something I want to mix with my “personal” profile. This allows you to segment the ranked concepts in your APML into different groups, allowing applications access to only a particilar profile.

Another thing to take note of is ‘implicit’ and ‘explicit’ which I touched on above – implicit being things you give attention to (ie, the clothes you wear – people guess because of what you wear, you are a certain personality type); explicit being things you gave away (the words you said – when you say “I’m a moron” it’s quite obvious, you are). APML categorises concepts based on whether you explicitly said it, or it was implicitly determined by an application.

Okay, big whoop – why can an APML do for me?
In my eyes, there are five main benefits of APML: filtering, accountability, privacy, shared data, and you being boss.

1) Filtering
If a company supports APML, they are using a smart standard that other companies use to profile you. By ranking concepts and authors for example, they can use your APML file in the future to filter things that might interest you. As I have such a high ranking for Marjolein, when Bloglines implements APML, they will be able to use this information to start prioritising content in my RSS reader. Meaning, of the 1000 items in my bloglines reader, all the blog postings from her will have more emphasis for me to read whilst all the ones about Valleywag will sit at the bottom (with last nights trash).

2) Accountability
If a company is collecting implicit data about me and trying to profile me, I would like to see that infomation thank you very much. It’s a bit like me wearing a pink shirt at a party. You meet me at a party, and think “Pink – the dude must be gay”. Now I am actually as straight as a doornail, and wearing that pink shirt is me trying to be trendy. However what you have done is that by observation, you have profiled me. Now imagine if that was a web application, where this happens all the time. By letting them access your data – your APML file – you can change that. I’ve actually done this with Particls before, which supports APML. It had ranked a concept as high based on things I had read, which was wrong. So what I did, was changed the score to -1.0 for one of them, because that way, Particls would never show me content on things it thought I would like.

3) Privacy
I joined the APML workgroup for this reason: it was to me a smart away to deal with the growing privacy issue on the web. It fits my requirements about being privacy compliant:

who can see information about you

when can people see information about you:

what information they can see about you

The way APML does that is by allowing me to create ‘profiles’ within my APML file; allowing me to export my APML file from a company; and by allowing me to access my APML file so I can see what profile I have.

Here is my APML, now let me in. Biatch.

4) Shared data
An APML file can, with your permission, share information between your web-services. My concepts ranking books on Amazon.com, can sit alongside my RSS feed rankings. What’s powerful about that, is the unintended consequences of sharing that data. For example, if Amazon ranked what my favourite genres were about books – this could be useful information to help me filter my RSS feeds about blog topics. The data generated in Amazon’s ecosystem, can benefit me and enjoy a product in another ecosystem, in a mutually beneficial way.

5) You’re the boss!
By being able to generate APML for the things you give attention to, you are recognising the value your attention has – something companies already place a lot of value on. Your browsing habits can reveal useful information about your personality, and the ability to control your profile is a very powerful concept. It’s like controlling the image people have of you: you don’t want the wrong things being said about you. 🙂

Want to know more?
Check the APML FAQ. Othersise, post a comment if you still have no idea what APML is. Myself or one of the other APML workgroup members would be more than happy to answer your queries.

Bloglines to support APML

October 3, 2007 / elias

Tucked away in a post by one of the leading RSS readers in the world, Bloglines had announced that they will be investigating on how they can implement APML into their service. The thing about standards is that as fantastic as they are, if no one uses them, they are not a standard. Over the last year, dozens of companies have implemented APML support and this latest annoucement by a revitalised Bloglines team that is set to take back what Google took from them, means we are going to be seeing a lot more innovation in an area that has largely gone unanswered.

The annoucement has been covered by Read/WriteWeb, APML founders Faraday Media,?Ç? and a thoughtful analysis has been done by Ross Dawson. Ben Melcalfe had also written a thought-provoking analysis, of the merits of APML.

What this means?

APML is about taking control of data that companies collect about you. For example, if you are reading lots of articles about dogs, RSS readers can make a good guess you like dogs – and will tick the “likes dogs” box on the profile they build of you which they use to determine advertising.?Ç? Your attention data is anything you give attention to – when you click on a link within facebook, that’s attention data that reveals things about you implicitly.

The big thing about APML is that is solves a massive problem when it comes to privacy. If you look at my definition of what constitutes privacy, the abillity to control what data is collected with APML, completely fits the bill. I was so impressed when I first heard about it, because its a problem I have been thinking about for years, that I immediately joined the APML workgroup.

Privacy is the inflation of the attention economy, and companies like Google are painfully learning about the natural tension between privacy and targetted advertising. (Targetted advertising being the thing that Google is counting on to fund its revenue.) The web has seen a lot of technological innovation, which has disrupted a lot of our culture and society. It’s time that the companies that are disrupting the world’s economies, started innovating to answer the concerns of the humans that are using their services. Understanding how to deal with privacy is a key competitive advantage for any company in the Internet sector. It’s good to see some finally realising that.

Study finds people would not pay for privacy options

September 8, 2007 / elias

A 2007 study by researchers at Carnegie Mellon and the University of California at Berkeley found that most subjects were unwilling to spend even a quarter [25 cents] to keep someone from selling sensitive information about them — such as their weight or number of sex partners. “People prefer money over data, always,” says Alessandro Acquisti, assistant professor of information technology and public policy at CMU. Source: Wired

Is privacy really that big a deal? In short – yes – but paying for paid privacy options is not something I am sure of. Rather, I would expect the forces to swell up like a hurricane that will require political action to enforce privacy as a legal right. As a business, you shouldn’t think of privacy as a revenue stream, but rather, a branding tool to build trust. It’s users ignorance of the truth, not acceptance of the consequences, that has people giving away their data. Don’t abuse that trust if given the opportunity.

Privacy – just like inflation

June 11, 2007 / elias

Privacy is a massive business issue. I’ve commented on the lack of interest in privacy from entrepreneurs in the web space; I’ve tried to define privacy; and I joined the APML workgroup for this reason

Need to know why I think it matters? Well here are three facts:

1) Targeted advertising is the future of advertising. Why? Because it’s most effective type of advertising.

2) Web services, and arguably the entire attention economy, rely on advertising as a revenue model.

3) There is a natural friction between targeted advertising and privacy. You can’t target without knowing who you are targeting – which implies some type of implicit collection of data.

Google, on the strength of its brand, has been able to manage the privacy issue. But no longer. Privacy International has ranked Google at the worst privacy offended on the internet. As 99% of Google’s revenue relies on advertising, with open acknowledgment that they are trying to find ways of better targeting advertising, we can expect to hear more and more how Google’s evil is in the data they collect and the way they control it.

Economic growth is one of the key concepts to how our world works – it’s what companies and countries for example, constantly aim for. But as we have seen repeatedly, if an economy grows too quickly, problems can appear – inflation, infrastructure issues, and fatigue. Greed has a price. In the context of an economy, inflation is the speed-hump – the faster you drive over it, the bigger the hit.

So would it be too far to extend the metaphor, to say that privacy is the advertising equivalent to inflation? If you are relying on advertising as a revenue model, remember that privacy will matter more and more with an interconnected world.

Define privacy: what does it mean to you?

April 26, 2007 / elias

Privacy as a concept is becoming increasingly important in the digital world. People recognise it, but do they know what it is?

If web-services rely on advertising to survive, and targeted advertising is the holy grail of advertising – doesn’t it make sense that privacy as a right is defined? There needs to be an agreement between consumers, publishers, and advertisers of where the lines in the sand are. We can’t afford to have this concept hidden in the shadow – it’s too important.

For me, privacy is three things. The right to determine:

1) who can see information about you
2) when can people see information about you
3) what information they can see about you

As a whole concept –

“Privacy is an individual’s right to determine what information they would like others to know about themselves; which people are permitted know that information; and the ability to determine when those people can access that information”.

I would love it if someone can challenge that, or point me to something else, because I really would like to know.

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