Scobles’ molecules of information post reminded me of something. Blog posts are the original molecules of information. A blog post is a place to bring tweets, pics and youtube videos together. Since blogging took off, we have a host of new tools to add to the army knife. We have foursquare check-ins for example. they provide an awful lot of context to location sensitive tweets.
Thats why I’m sharing this here rather than going straight to Friendfeed and Twitter.
I commented on Scobles’ post:
Er, Scoble. You can tag tweets. Its called hashtags. What we DON’T have is the ability to search and mine that information.
Friendfeed has hashtags as well. And FF has a far more power search engine for all these little atoms of information.
Friendfeed is way ahead of you. They show you related items.
The future is here, its just not evenly distributed yet.
To which Scoble replied (Disqus comments with replies are awsome, BTW)
Nice try. Hashtags are NOT tags. At least they aren’t anything like the tags that Flickr photos have. FriendFeed does NOT have tags. It has comments. Not the same again. Not even close. FriendFeed’s related items? They are to remove some duplication noise and that feature doesn’t work anywhere close to as well as a human curated system would. Try again.
To which I responded:
Robert, hashtags need a systematic engine for them to work as actual
tags. Twitter should add this.
But nonetheless they provide a way of categorising tweets. Tweetdecks
tweet filtering works primarily due to hashtags. For events, for
example, hashtags are brilliant.
Friendfeed related items link may primarily be for noise reduction,
but this functionaity could be greatly extended. Comments are content
as well, but quite often they provide context too. See Jesses’ FF3.0
FF posts this morning for an example. Where links between FF items are
posted in the comments.
If this were extended to solidify the relationtionship between items
beyond simply showing the items linking to the same page, we’d have
your information molecules.
The sum total of tweets, posts, videos, foursquare check ins, you name
it about something often ends up providing more context than any one
single service or method can provide.
Typically speaking blog posts have filled this need for creating
context, collateing all this related information together in a single
article. This tweet, that twitpic, this video. The first instance of
an information molecule.
As noted above we already have been manually adding in links between
related content. Geolocation services have always created information
molecules, combining tweets and google maps. In like manner, the
services concerned need to solidify these methods for other types of
What do you think?