My answer to that question and to the broader use to me of Twitter lies in the concept of social filtering. The most significant value I get from Twitter is from posts that link to longer-form resources like blog posts, infographics, white papers, event announcements, and the like. It's certainly possible that I might miss The Greatest Blog Post in the World - but it's not likely because of the way social filtering works. I have eclectic interests but I've cultivated enough of an information ecosystem on Twitter that when something good comes up, I'll see it several times in my Twitter stream as people retweet it or comment on it
We’re Gonna Need a Better Filter This is where a better technology strategy comes into play. Clay Shirky put it best when he said that “ information overload is filter failure .” I do agree and that idea certainly applies in a scenario like I’m describing here. You can’t just increase content; you have to create better filters too. Your technology needs to cut through the information overload for the employees
By limiting the number of voices and the amount of data coming into their networks, they lose the ability to filter those voices and find new ideas, new innovations
However, he also points out the limitations of this method, requiring filtering of groups. Tools like Tweetdeck and Hootsuite, while providing some degree of filtering of messages received and of those sent
But let me start with the positive developments, which are many and may stick for good: It was never so simple to tag a subject and filter by it. Hash tags are just a great concept
On the surface, the ability to parse and filter your networks, creating targeted groups around specific topics, seems to fall in line with the points made in the article about the importance of limiting the size of your networks to get the most value out of them, or at least to enable you to refine your networks and focus on those relationships that will provide the greatest ROI (personally, professionally, spiritually, whatever)
Our keynote speaker Clay Shirky thinks it is not an information overload problem, it’s filter failure. We are drowning in data, but thirsting for knowledge. This is now starting to change behavior, and David Weinberger recommends organizations to "filter" on the way out, not on the way in. Organizations should store as much as possible since they don't know the future value of data, and then use analytics and social technologies to "filter" information when people need it. Office workers will not be able to process 50x more emails per day – they will use social filters and analytics to learn from big data – similar to what many people already do on Twitter with hashtags and sentiment analysis
A very simple lifecycle of information might include the ability to easily publish content (somewhere), discover, connect, subscribe, aggregate, filter, consume, and share
There's just a greater need for organization, for filtering through irrelevant material
We will receive hundreds of them and delete 90%, either automatically through spam filtering capabilities or manually, but it will be barely used for collaboration, innovation and exchange of ideas. 96% of the e-mails sent to serious corporations never reach our inbox. They are filtered by an anti-spam tool long before they even get to us
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