User Labor Markup Language (ULML) is described as “an open protocol for sharing the value of user’s [sic] labor across the web.” User labor is defined as the work that people put in to create, improve, and maintain their existence in social web:
- generating assets (e.g. user profiles, images, videos, blog posts)
- creating metadata (e.g. tagging, voting, commenting etc.)
- attracting traffic (e.g. incoming views, comments, favourites)
- socializing with other people (e.g. number of friends, social influence)
These kinds of statistics usually remain buried in log files or accessible only to platform operators through complex and expensive metrics analysis software. By creating an open, transparent data structure ULML’s creators hope to initiate standard metrics for user participation, which, in turn, can serve as a benchmark by which to compensate/reward the contributor-users whose labor sustains profitable online communities like Facebook, Flickr and YouTube.
There finally appears to be an organized initiative coalescing around the need for data portability. David Recordon has spoken about the mix of existing open standards that could be used to accomplish this goal, and, in so doing, establish the foundation for something like a social network operating system. DataPortability.org sez:
Standardized Data Portability is the next great frontier for the web. As users, our identity, photos, videos and other forms of personal data should be discoverable by, and shared between our chosen tools or vendors. We need a DHCP for Identity. A distributed File System for data. This page will list the standards and contributors who are making it happen.
Word, son. They propose four primary issues: Economic Drivers, Privacy, Adoption/Buzz and Branding/Education. Each of these is supposed to have a related initiative, but thus far Project VRM, the Economic Drivers initiative, is the only one listed. Driving awareness and adoption and making the case for economic viability are all important and necessary goals. But, to me, the bigger question is what work is being done to define the types of data required for a robust personal identity network (identity, personal details, relationships, security APIs, syndication, etc.)? What are the criteria being used to evaluate which of these existing standards should be used?
I’m really glad that this initiative is under way, but for it to have the greatest opportunity for success, it needs to be as transparent as possible. The site is relatively new, so I bet we can look forward to greater detail emerging over time.
ShiftSpace is a social media tool that creates “an open source layer above any web site.” What users can accomplish in this layer varies depending on their goals and intentions. Some Shift Spaces are purely utilitarian, providing the ability to leave notes or highlight passages of text. Other Spaces function in a more interventionist capacity; using Greasemonkey, the ImageSwap and SourceShift Spaces enable users to alter a page’s content and display. Finally, Trails enable mapping and linking of Shifts across sites/pages. Features in development include social networking capabilities and a P2P distributed architecture.
This video gives a good overview of how it all functions together.
Original post: We Make Money Not Art
With the rapid proliferation of social networking sites and applications that leverage social graph data, a social graph aggregator (or operating system as Tim O’Reilly has termed it), is quickly becoming both necessary and inevitable. By providing the ability to push personal data out, in addition to consuming it from third-party sites, Google’s model will constitute a huge improvement over the walled gardens of Facebook, MySpace and the rest.
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