Go On, Distract Me with Something Interesting
I love surprises, especially the informational kind. Most days bring the same types of news and subjects that I follow in my RSS aggregators and various social media sites I look at. I've written about this before, but I keep hoping for new, unexpected ways to discover new information. That is, I like finding stuff I didn't know I was interested in until I found it. You know, that "aha, I didn't know about this, but,gosh, it's interesting."
So when I saw a Profy post titled; Twitter and FriendFeed Leave No Chance for a Balanced News Consumption to a Technology Blogger I was on it like my cat on his toy mouse. Among other issues Sevtlana Gladkova paints this sort of problem in geographical terms: when you're getting information in an echo chamber of tech news and the sort, you miss local news that may matter to you. Her solution is to subscribe to the RSS feeds of local news sources in Friendfeed.
I've had a similiar concerns, and I now get the headlines for the Columbus Dispatch in my twitter feed. For the most part, that works.
Locality news issues aside, this got me thinking about how I've found news and information in the past, and especially how I've developed new informational interests. Not surprisingly, at least part of the answer is traditional media like newspapers (and their websites), and television or radio news. With traditional journalistic media like these, the editors aggregate information into a package: a business section of the newspaper, a half hour nightly newscast, a magazine, etc. In other words, information is filtered by a team, not an individual, an algorithm or a keyword search.
When consuming the package, I can be exposed to stories that I might find interesting, but had not been exposed to before. From there, I can develop subject and keywords to follow online.
In social media, information is mostly filtered by individuals or by keyword or subject. As Svetlana points out, individuals who share your interests aren't likely to turn up new information outside of that sphere. And keywords just point to stories that are somehow related.
Social media sites like Friendfeed and twitter are individually based. Individuals are the filters. To be sure, almost nobody subscribes to just one individual, so there is a kind of aggregation going on. And some individuals offer great filtering. But the team aggregation effort, per se, is not there.
So this gets me wondering: Do we need some sort of broad (read more than individuals or algorithmic) non-keyword based aggregation service here? Is there an opportunity for a new kind of collaborative-based information aggregation service that might help with the discovery process in a new kind of way?
Or are we already beyond caring about something like that, content to consume and discuss everything based on a familiar subject? I hope not, but I fear so.


But if you think the tech policy decisions are tough now, wait until the later half of this century. What will be different then? According to some present day authors quoted in
There's been no shortage of discussion around Nicholas Carr's Atlantic essay
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