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Fine Tune Twitter for Value

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Fine Tune Twitter for Value

If you’ve been shunning Web 2.0 social apps for an entire year, I forgive you for not knowing about Twitter. Otherwise, where have you been? Twitter is a multi-mode message delivery system used most often to answer the question “What are you doing?” Only, the cool kids know that the answer to that question is far less useful than “What has your attention?”

But I’ve come up with something that might placate a few nay-sayers.

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First, if you don’t “get” Twitter, I don’t want to convince you otherwise. The trick is not to read every message that goes by, but to use the whole thing as a mass of information, and pluck out what’s important. But if that’s too inefficient, I’ve a hack in mind.

Sure, Twitter can absorb a lot of your time, but what if you could “tune” Twitter to something of importance to you? What if you could get a very narrow beam on information that matters or might prove useful to you? This is a simple hack, but could be helpful to you. Here are the steps:

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Building a Tuned Twitter Stream

  1. Determine what you want Twitter to do for you. For my example, let’s build a Twitter account for someone active in the Boston area, perhaps a tech type.
  2. Search out specific-to-Boston Twitter users with Google. For my example, I found Boston weather, a Red Sox play-by-play, and a Boston Area Twitters user.
  3. Add some useful Tech Twitter users. Again, using Google, I found techmeme, Tech Evangelist, Robert Scoble’s link blog (and tons more)
  4. DON’T add friends, family, and other random types.

The same could be done for several industries who’ve adopted Twitter. I note several PR firms and individual PR types on there. Marketers are there in droves. Using useful products like David Troy’s excellent Twittersearch helps you find more of what you’re seeking out, and you can build your fine-tuned Twitter from there, too.

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Improve this Idea

Or throw stones at it. Does it make sense? It’s a hack, I’ll admit, but it might be a way to use Twitter in a more targeted way. Your opinions and improvements are greatly appreciated.

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Chris Brogan twitters here and blogs at [chrisbrogan.com].

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Last Updated on December 18, 2020

Can Technology have Biases Like Humans?

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Can Technology have Biases Like Humans?

Technology has taken a vantage leap in providing solutions for man. Before now, technology used to appear complex and would require a great deal of expertise to handle solutions available. Today, we have technology applicable in the simplest human activities as smart products with intelligent algorithms powering them as they make error-free judgments and provide intelligent and analytic solutions.

Does technology have all the answers?

This article from Credit Suisse, tells us that technology does not have all the answers because it has been found to exhibit “similar biases,” as humans. No one can discredit the impact of technology, but it is not totally free of human input and this is the reason we experience these biases in many areas we have technology holding foot.

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Creating technological solutions transparently

This article suggests that the process of creating technological solutions be made transparent and subject to contribution from many people who would end up as users of the product – male, female, young, old, learned, unlearned and all other preferences as we have them. It also underscores the importance of having women on product development teams. This approach is not sure to eliminate all forms of bias, but it is a good way to start in order to appraise the full benefits of technology.

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Technology as the connecting tool

Technology so far has been a major connecting tool amongst us humans. It is used and appreciated by all regardless of race, language and sex. In order to keep it less subjective to these arguments about human biases. I believe we should gather opinions on products and solutions before making them available to the public. This could be done by gathering input from intended target users and receiving feedback across the stages of production.

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“Recognizing the problem is a start…success will depend on inclusive technologies that meet this vast untapped market.” This cannot be more apt especially at a time when we look up to technology for solutions. We should not muzzle our progress with technology by battling algorithm bias. The first way to avoid this battle is by reading this article here.

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