Buy Valium No Prescription, User generated content (UGC) has been at the epicenter of the web 2.0 revolution since the term was adopted in 2005. Buy Valium in canada, In 2009 there was a huge emergence of a new* type of content that was accelerated by the efforts of services trying to increase their virality through social networks: behavior generated content (BGC).
Behavior generated content is a special type of user generated content, buy generic Valium. Order Valium, By nature it is:
- Passively created (user is not required to 'generate' the message, only to trigger it)
- Defined by the users natural behavior
BGC is now a huge part of the stream including location (foursquare), Valium price, Valium from canadian pharmacy, music (blip.fm), purchases (blippy), order Valium no prescription, Where can i buy Valium online, food (eat.ly), etc, australia, uk, us, usa, canada, mexico, india, craiglist, ebay, paypal. Buy Valium from mexico, with new services popping up weekly.
It's interesting to consider what this trend will evolve into, Buy Valium No Prescription. When taken to it's extreme, buy cheapest Valium, Buy Valium online cod, you end up with an idea that has been around forever: lifestreaming. The idea that all events in your life could be broadcast out to your friends and family, buy Valium no prescription. Purchase Valium online, Facebook is partially doing this with their news feed, Twitter is doing it thanks to apps, Valium for sale, Buy no prescription Valium online, but all implementations are subject to the same issues with privacy: everyone has different preferences for who they want to share certain behaviors with. For me it's music with everyone, buy Valium online no prescription, Online buy Valium without a prescription, location with close friends, and purchases with family, order Valium from mexican pharmacy. Buy Valium without a prescription, Currently these preferences are mostly managed manually by choosing to opt-in when you want to share, and on which networks, buy cheap Valium no rx. Order Valium online c.o.d, It's unclear if there will be a silver bullet service that will be able to aggregate all behaviors without ending up with a spider web of complex privacy settings, but it's surely a trend that will continue for the near future, where can i order Valium without prescription. Valium samples, Credit to Evan Cohen for triggering this post with his use of the BGC term.
*the term 'behavior generated content' is certainly not new, where can i find Valium online, Valium over the counter, the rise of behavior driven services is.
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totally agree mike that skimming/using passive data is the future. Betaworks calls it data exhaust, Henrik (who is awesome) has been talking about it for a while as you reference —
that said, not sure that i buy that foursquare or eatly qualify by your definition (blippy def does)… you say that BGC is “Passively created (user is not required to ‘generate’ the message, only to trigger it)” — in both cases 'checkin' (location) and 'photo input' (eatly) are explicit actions…. users do have to generate the message.
in the case of something like foursquare not being BGC is both a blessing and a curse right now. BGC is way way less valuable per ounce than explicit actions… which is why foursquare is more interesting than something like latitude for now… there is more punch per bit — longterm tho, i agree that BGC at scale wins
It's a good point Sam, for me the idea is that the content (the message and context) is passively created, but your action may require triggering. This is mostly a function of poor sensors not being able to know exactly what you are doing than it is part of the definition. Blippy has great accuracy (CC transactions) while Foursquare doesn't yet (GPS accuracy constraints).
Once the sensors are good enough I certainly agree that passive triggering will be a requirement of the definition, but for now I include active triggering.
yah – i think the definition would be much more powerful if you just bracketed it with truly behavior driven stuff…
if you are saying that “active triggering” of some sort of bit payload counts I think it looses a lot of power as a concept… because then there already is a ton of it out there (and has been for a really long time) including but in no way limited to stuff like:
digg, stumbleupon, alexa, facebook 'like', retweet, bit.ly, just to name a few. The idea that it is just about a manual kick of a parseable package/payload of bits is everywhere…
what I think is sick is the trends around leveraging passive data into meaning — so, in location we are talking latitude and stuff like sense networks, in payments the credit card companies (and stuff like blippy/swipestats), in health things like fitbit (and you know how much I love my GPS/heartrate monitor watch)…
Totally agree that active triggering dampens the power, but there certainly is something that feels fundamentally different when you share you're location or what you're listening to with a click vs sharing a digg article with a click. Which is why I include “Defined by the users natural behavior” meaning it represents something very specific that you are doing (other than just clicking a button).
It's this “personal” element which separates it and requires the additional privacy controls. I would imagine fewer people limit who gets to see their digg, stumble, alexa, or bit.ly links compared to their location or purchases.
yah, let's talk about it in feb if you want — i am at home working on this way way too long information post — so thinking a lot about this stuff…
you know my meta issue with that line of argument… which is that I strongly believe 'the medium is the message' – foursquare isn't where I go, it is where I choose to signal to the world that I go… eat.ly isn't what I eat, it is what I choose to show of what I eat. That could be powerful without a doubt, because that filter (what I do/what I want to display that I do) is a super interesting/valuable one… but it isn't natural behavior, and it is a more efficient point on a consistent curve.
flip it around tho, and blippy (unless I hide stuff), is direct feed of totally passively created data – talk in feb tho — i get your general point, and I generally agree that the direction is clear and interesting –
Sounds good
This is all right in your wheel house.
I'll see you tomorrow at Y+30, but let's for sure get together in feb.
I agree that a lot of this can be classified as data exhaust and I have been thinking about it recently too: http://www.marketing.fm/2009/11/05/data-exhaust/ I also think it is interesting that this behavior data can be so actionable for other things. Monetizable is not quite the right term (although its feasible), but rather actionable to create some value for the user. Whether it is coupons, tastemaking, simple preferences, or just creating a better experience – these actions usually make most services better the more you use them. It is an interesting new chicken or the egg problem where usage creates a better service, but you still have to have solid usage day 0 or else nobody will ramp up to day 45.
Solid conversation. Couple of things to think about:
(a) there is a readily system monetization intent – eg, search ads. There, the intent is explicit and thus the way for marketers to pay for getting in front of that intent is obvious. When there is no intent – when it's BCG as you say, what happens then? Big question.
(b) related to the above, and the way this pieces together, is as Sam says the data exhaust. And the potential value of that exhaust does not necessarily come from the action that gave rise to it. For example, using bitly, which I know best, the value therefrom – the exhaust (“how content is being distributed web wide”) may be wholly separate from its use case (“I just want to share this damn web page (and maybe see the real time results”). Thereore, the activity giving rise is not passive per se – but the value of BCG may be separate. This is what is so interesting about this stuff.
was about to post on my blog — and re: read my post from Jan 6th — clearly all about passive data (though even in that case I had to click my watch off at the end of each run to not drain the battery
http://drop.io/swl/asset/thus-begins-the-decade...
I wrote on the active passive issue:
http://bit.ly/actpass
it's more an overall issue of people sarong more and the line being further public than we ever thought we'd be comfortable with. Each successive push goes further: Twitter to foursquare to blippy.
The triggering is really a practical issue. If it wad technically possible for me to tell eat.ly to photograph and post all my meals I might. The tech is just not there yet – no all observing cameras.
lots of good thoughts…got me thinking and I decided to write some stuff up: http://www.leveragingideas.com/2010/01/25/why-i...
The biggest problem here is the control of data, if you are in charge over your lifestream. Albert László Barabási already stated after analysing mobile operators data that anyone's — anybody wearing a mobile phone — location, whereabout can be predicted with a 93% accuracy.
He also said we are living an era when humans are no longer studied subjectively but objectively.
If you want to became an object of study go ahead and share anything.
This shows an ultimate net illiteracy.
More like Boringly Generated Content. I hope this trend will be accompanied with good methods to bring more interesting and original writing above the noise, as generating content without context is useless.
@andymonfried It's not the sharer that's important (though they could be) it's the sharee. The sharee read a twitter post, facebook post or something else that made them click on a bit.ly link. If the content is compelling, the sharee is a 'researcher' advertisers are hungry for capturing researchers in-market. This is higher funnel than search. Search is – I need to find something to buy, do, read it now. Clicking on bit.ly links is curiosity turning into research.
So establishing that the firehose of bit.ly data is 'researching' and not 'in-market' lower funnel activity is the first step. Next is categorization of this data. Breaking into keywords, grouping the keywords, grouping phrases, and identifying what % contributes true value and what % can contribute marginal value by being linked to brand metrics and what % is just garbage is the key.
@andymonfried It's not the sharer that's important (though they could be) it's the sharee. The sharee read a twitter post, facebook post or something else that made them click on a bit.ly link. If the content is compelling, the sharee is a 'researcher' advertisers are hungry for capturing researchers in-market. This is higher funnel than search. Search is – I need to find something to buy, do, read it now. Clicking on bit.ly links is curiosity turning into research.
So establishing that the firehose of bit.ly data is 'researching' and not 'in-market' lower funnel activity is the first step. Next is categorization of this data. Breaking into keywords, grouping the keywords, grouping phrases, and identifying what % contributes true value and what % can contribute marginal value by being linked to brand metrics and what % is just garbage is the key.