Comments on: Social Media is Your Answer to Information Overload

By: keith

keith — Sun, 19 Jul 2009 15:59:14 +0000

I read through the articles and i find them very informative, I came across some of websites that deal with this kind of problem like http://www.nextfeeds.com/home/take_a_tour

Keith

By: obes

obes — Tue, 16 Sep 2008 14:46:39 +0000

yes…I love digg and delicious….very good social media

By: dimitrisokolov

dimitrisokolov — Mon, 17 Mar 2008 09:17:26 +0000

I like http://www.subbmitt.com It’s a new social news site that’s easy to use. You don’t even have to sign up or login to post an article or comment. It’s similar to Digg without all the crap and better looking too.

By: Sumesh

Sumesh — Wed, 27 Feb 2008 17:35:29 +0000

There’s one problem – most of those sources are slow in picking up news. For example, Digg takes several hours to promote a post, which means that readers are lagging by atleast that much (its much more usually).

Techmeme is somewhat better, but it is too cluttered an ad-ridden for my taste. A better idea would be to subscribe to top blogs and use keyword filtering to read what you want on any day (Apple, Google etc.) and mark rest as read in Google Reader (that’s what I do these days).

By: Mohsin

Mohsin — Mon, 25 Feb 2008 13:45:07 +0000

Jiannis, I wouldn’t say that blogs add to the information a lot. Blogs are mostly about opinions, and sometimes about news that is already available on many other news sites.

You are right about data aggregators overload, but then again, which ones you rely on depends on your interests. A technology geek, for example, can rely on Digg and a few other leading tech blogs to keep abreast of the current technology trends.

By: robojiannis

robojiannis — Mon, 25 Feb 2008 13:15:17 +0000

I think there is an information overload. It’s only logical, since we are not dealing only with authority news sites but also with blogs of every kind and niche.

But that’s why social aggregators like the ones you mentioned are so successful. They work as attention filters, functioning according to the collective intelligence.
The problem is that there are so many of them, that we are facing a new type of overload: the data aggregators overload.
We now have to choose which aggregator to follow…