‘Like’ Minded People

I read an interesting post by Dare Obasanjo titled “There will be many social graphs“. It took me back to the context of my post on Google’s social plans, where I’d mentioned the possibility of creating networks around different contexts – with not all connections being ‘friends’- a Twitter kind of asymmetric relationship, and how Facebook and Google both have an opportunity at that level. The form and kinds of data that we share – blog posts and thoughts, status updates, photos, videos, answers, people and the contexts we share them in, are many, and sometimes I wonder if one service can actually aggregate all this, while still providing user friendly privacy options.

When i read (and saw) that Facebook is replacing ‘boxes’ with tabs, and also saw that my ‘Like’s (Interests and Likes seem to be undifferentiated now!) were now displayed prominently on my profile, I wondered if Facebook could really aggregate everything. Imagine, if those Likes+ interests were differentiated – i.e. Interest was ‘Music’ and ‘Greenday’ was a Like. Now, the way I’d like it is, if I had Interests displayed on my Profile page (or a tab, if you prefer) – there could be options of ‘how many’, ‘most active’, ‘most recent’ etc, with the existing ‘who can see’ privacy option, but more finely grained for each interest. For each interest, I should be able to build a page – with third party content included – subscription to blogs on the subject (either through FB Notes or say, Networked Blogs), Facebook Questions  and Quora, it could be Facebook groups, Pages that I have liked (so the interest ‘Music’ could have every artist/band/music media brand/ label I’ve liked), Friends who share the interest, people I ‘follow’ in that interest category (will explain in a minute) and when FB plays location, include that too, and sync Events. Goes without saying that I should have micro-level privacy setting options for sharing with others. I should be able to ‘Like+follow’ an interest of a person even if I’m not his friend (assuming he’s kept his interest public),  and even recommend to my friends.  A sort of ‘Twitter list’ for each interest. Yes, of course I need to be able to import Twitter lists too. There would also be a universal ‘Interest’ page that collates data from all the Interest Pages created by individual users, and also gives suggestions on ‘Whom to Follow’ for that interest – an algorithm based not just on mass ‘Like’s, but also basis contexts like Location, sub-genres, and my previous activity. To scale even further, use (mass and personal) data from services where I’ve used some form of Facebook Connect. Of course, Facebook would then have ginormous data on me, but they have it anyway, so I’ll be optimistic and hope that they use it to ‘personalise the internet – like Hunch, than for anything evil. Of course I’m assuming I get data portability too. Then maybe the different Facebook Search options can also really have fun. The entities who want to ‘engage’ users would also find this useful. I realise that I might be being simplistic about this, but what about the direction?

And though most people are skeptical about Google’s social efforts, perhaps justifiably so (read this at GigaOm and Stowe Boyd’s “Can Google go Social“), and the Wave crash doesn’t really help perception, I don’t want to rule out  the possibility  (like I said in the earlier post) of Google getting over their privacy agony, and surprising us – imagine the ‘Interests’ as a separate service/ something around or integrated with iGoogle/Profiles/Buzz (brrr)/Chrome (browser or OS)/ Search itself.

While on interests, suggestions and discovery, Twitter’s ‘Who To Follow’ hasn’t excited me much in terms of the people it has suggested. It says that the algorithm is based on people you follow and those they follow, but for now everyone’s busy trashing it, using its own acronym – WTF. So, how about using interests (Why To Follow – work harder on the existing Interests structure?) – either ask me when when i register, you can ask me now too, the lists that include me, keywords from tweets and bio, hashtags and hopefully ‘learn’ my preferences over a period of time. Popularity by itself is really not that great a parameter – if they’re popular, chances are I already know, and there’s a reason I don’t follow, even if its ego 😉

Its not as though these are the only guys who can build a more nuanced social platforms – perhaps its possible for someone like Quora to start with questions and build more – eg. relevant posts from say Networked Blogs, and more people from Twitter Lists? Foursquare, or any of the LBS could scale too – from places to activities and consumption that happen at those places.

Meanwhile, interests, context, relevance, building authority and influence, all of these are established on identities,  but there’s a debate on whether an old friend merits a return – anonymity. 🙂 More on that later. 🙂

until next time, interesting?