Database Content Creation Strategies

As mentioned in earlier posts, the business plan generator/algorithm works by pulling from a list of words that generate in the spaces allotted. It is stronger to use a process for authoring these lists that is objective (systematized / restricted) as opposed to subjective (authored by my own imagination) in order to provide the illusion of true artificial intelligence / automation. I have begun brainstorming strategies for discovering these words that matches the context of my thesis investigations.

The word-sets I need to create: “Problem”,”Opportunity”,”Market”, and “Genre.” Using twitter, a product invented in Silicon Valley (the target of the project), and the number 83 (the amount of cities in Silicon Valley), I have created a series of restrictions / guidelines for discovering each of these words. I have those posted here as well as some examples of what it produces.

Twitter (to find “problem”):

  1. search “annoying”
  2. “all” to reveal all related tweets in the search
  3. jump to the 83rd tweet
  4. record the “problem” evident in the tweet

Problems Generated: Shoulder injuries, Alcoholism, Bowlcut Hairstyle, too many drivers or over-population

Twitter (to find “opportunity”):

  1. search “awesome”
  2. “all” to reveal all related tweets in the search
  3. jump to the 83rd tweet
  4. record the “opportunity” evident in the tweet

Opportunities Generated: Talking animals, Bible Study

Twitter (to find “market”):

  1. search “these people”
  2. “all” to reveal all related tweets in the search
  3. jump to the 83rd tweet
  4. record the “market” evident in the tweet

Market Generated: People not from Seattle

It is interesting to compare this approach to word generation to the very first exercise I did in my thesis studies – the Serendipitous Business Model Generator (walking edition).

Business Generated: Park Benches for Dogs at Railroad Stations.

Moving forward, I will continue to collect these words as well as brainstorm and explore further strategies for objective content creation. I am interested in how the process of collecting can be one that is extremely extravagant and planned – almost an extension to the algorithm itself.

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