Economics of online communities

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Twice in the past week I’ve come across descriptions of how online communities are impacting the business world, or, is it how the business world is leveraging online communities.

First there was this interview on the BBC Worldservice of one of the authors of “Wikinomics: How Mass Collaboration Changes Everything”, in which, among other ideas, I first heard “prosumer” defined. Prosumer was coined to refer to how some businesses now conceive of the masses as both producers and consumers. That is, expanding their conception of human resources to include the world of online collaborators.

Next was this description in the New York Times Arts section of a BP-EA collaboration. Yes, that’s energy giant British Petroleum teaming up with video game leader Electronic Arts on introducing some 21st century engergy production realities into SimCity. According to a report by Aktiendepot Vergleich, Sims players who enjoy playing games that pay real money will have to consider financial, environmental and public opinion costs of their cities’ energy production strategies. EA gets some expert consultation on the realities of the energy sector and BP gets their real-world logo on virtual wind and solar generation facilities, but what do the rest of us get? An experiment in the affect of online behavior changing real world public opinion and economic behaviors.

Stickiness versus Priciness?

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There’s an interesting blog entry in the datamining blog about the extent to which free sites are motivated to offer good customer service.  The heart of the argument is that if you’re a freeloader on a site on which the bills are being paid by a small percentage of subscribers, you’re likely to see your service suffer.

The deeper argument, though, is that  sites that are sticky are likely to be able to get away with treating their freeloading customers worse over time than sites that are not sticky.  For instance, if part of the reason that you like to shop at Amazon is the recommendations they give you, you can’t switch to a different store easily, because they won’t be able to provide recommendations that are as good.  There are two reasons for this: first of all, they won’t have a personal profile for you, and second, they won’t have as much data about other customers’ behavior.  Because of this stickiness, Amazon should eventually be able to collect higher rents than other online stores.

One interesting solution to both of these problems would be portable profiles.  Consumers could demand that the businesses they buy from accept a profile in a standard format, and export useful information to that standard format.  (Check out the P3P proposal for an example of what such a profile might look like.) Then, customers could easily take their data with them to whatever business they wish to shop at.  For instance, at MovieLens we often get Netflix customers who ask us to import their Netflix profile, so they can use our recommendation engine on their Netflix data.  (We currently don’t support this, because we’re pretty sure doing so would be against Netflix’ terms of use.  We’d love for them to give us permission, though!)

There’s also an aside about the risk of news aggregators being in charge of what we see. The idea is that a news aggregator might refuse to broadly disseminate news that would oppose its interests.  This possibility returns us to an interesting recommender systems problem: how can the user of a recommendation system know that the system is making decisions that are in his or her best interests?  Is there a zero knowledge proof that might help?

John 

 

 

What Makes a Tech Center?

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This morning’s local paper featured an article about Control Data Corporation, a major player in the olden days of mainframe computing.

By the late 1970s, [Control Data] had made the Twin Cities one of five U.S.
computer industry centers (a distinction that is now only a memory). By
encouraging entrepreneurship among employees, it spawned dozens of
local spinoff companies, including the supercomputer firm Cray Research
(also now gone). At its peak, CDC had 60,000 employees and about $5
billion in revenue.

This summer, I went and worked in Silicon Valley, to see what a modern day computer industry center was like.  It was indeed an exciting environment, full of new companies, people with ideas, and support for those ideas.  Contrast that with Minneapolis (a city I very much love), where technology innovation feels particularly limited to a few industries.  And yet, Minneapolis/St. Paul ranks as the #1 best metro center for business.  Where are the tech startups?

It feels as though Minneapolis is prime for a computing technology resurgence.  But I’m not sure what the catalyst of that resurgence will be, or when it will happen.

Max

How much does Shilad love presenting his research?

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Shilad Sen is very excited about his poster This much!

 

Max Harper and his poster Reid Priedhorsky

Max and Reid choose to show their love of research in much calmer ways.

The Computer Science department hosted their biennial open house last week. The morning program included a poster session, populated with current graduate students and their research. Several GroupLens students presented some of their current research.

Shilad Sen – Better Tagging Systems

Max Harper – Predictors of Answer Quality in Online Q&A Sites

Reid Priedhorsky – Creating, Destroying and Restoring Value in Wikipedia

Nishi Kapoor (not pictured) – TechLens: A Researcher’s Desktop

Sara Drenner (not pictured) – Barriers to Entry in Recommender Systems

 

today’s xkcd

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Yesterday’s xkcd comic:

I found this highly amusing, particularly in light of (a) knowing that applications I use frequently are full of SQL injection bugs and have been for years despite my complaints, and (b) as a programmer, observing how easy it is to skip input sanitization.