First Step: Culling the Useless Content

1. Automated Content Filtering

The first step of key word searches usually results in a large amount of content. Most of these stories are unrelated - and some may be embarrassing (disguised porn and similar sites). These are rejected and not passed to the second step.

2. Checking for Appropriate Content

The filters use positive and negative attributes. For example, if your company was interested in wind generation of electric power, stories about wind surfing may pass the first filter since they may be useful. This second step eliminates the "good key word, but wrong context" stories.

The use of automation reduces the amount of news stories that are forwarded to our editors (real people) which reduces the amount of stories they manually review. For example, a solar cell manufacturer may attract 500,000 stories into the filtering process. Typically, only several hundred will be passed to the human editors.