Facebook’s new social-graph search may look like a fairly boring feature of interest only to marketers, but the information it is able to reveal highlights how much we make public without even realizing it.
The Berlin-based IMDB rival Moviepilot, which is already working with film studios to give them better understanding of their projects’ fanbase, has secured funding to put a sales team in LA
Don’t be too quick to think that Facebook is abandoning its HTML5 mobile strategy in favor of apps. As a defensive move, acquiring Instagram would lock down Facebook’s strong position in photo-sharing, leaving little room for would-be competitors, but it gives Facebook few new weapons and no new revenue opportunities.
PureDiscovery, a Dallas-based big data startup, thinks it has the has the answer to outdated enterprise search technology, and it’s called BrainSpace. Its goal is to let users find information that matters without having to search for it, to bring data to users.
Bobbie Johnson seems sympathetic with Pinboard founder Maciej Ceglowski’s manifesto that the social graph we have today is neither social, nor a graph. His argument mostly centers on a lack of standardization and a focus on marketing objectives. As a guy that used to have “Unix” on his business card, I’ve seen “open systems” and standards body-driven technologies come and go. The recurring theme: He who ships, wins. And if only Facebook had designed its graph from the bottom up for marketers, well, then social media marketing might actually work. I don’t dispute that there are many, competing definitions of how to describe social relationships out there. Or that better ones that lots of developers and – yes, marketers – can use will arise. But the marketplace is looking pretty efficient at building them right now. Kind of like how we never needed a Dewey Decimal system for the web, because search and linking and folksonomies worked pretty well.
In a smart essay on the technical origins of today’s social networks, Pinboard founder Maciej Ceglowski explores the idea of why the social graph doesn’t work in the way we need — and explodes it in the process.
The speeches are still going on at Facebook’s f8 developer conference event as I write this, but let me summarize some of the key takeaways. (Here’s a the easiest to read summary I’ve seen so far.) Facebook’s page redesign presents pre-populated lists (filter feed by groups), the news feed (algorithmically ranked stories and updates), and a real-time ticker of all activities from your friends and people you subscribe to. Today it introduced a new concept, the Timeline, where a user can create profile views of events, pictures, app usage etc. and make them visible to select groups. The latest iteration of the social graph for media and lifestyle apps enables any app – even those not running in Facebook’s walled garden, but on the web or phones – to auto-post usage without requiring a Share, or Like or check-in. The object will be to pull a steady stream of activities and sort them into those different discovery streams. It’s pretty brilliant if apps actually adopt it. The pitch to developers: use it and your app will get shared and discovered — “the most popular app wins.” I expect Timelines will follow an 80/20 rule of consume versus create, and most users aren’t creators. More detailed analysis on Monday.
Facebook has shut down a service from Open-Xchange that allowed users to export the email addresses of their contacts, which makes the Germany company the latest to run afoul of the social network’s ongoing attempts to maintain control over the information of its users.
Want to know what kind of YouTube videos Paris Hilton is tweeting about, but don’t care about the other four tweets she’s sending out per hour? Then you might be interested in Shufflr.tv, which uses the Twitter accounts of celebrities to curate your social video feed.
Much of last week’s buzz surrounding the launch of Color was justifiably skeptical about whether the world really needs another mobile photo-sharing app. But two components of Color’s vision – implicit networks and place/time tagging – extend far beyond photo-sharing, and make Color worth watching as a potential indicator of social media and data-mining trends.