At some point in the near future, one of the most pressing issues facing Google’s search engine algorithm is the challenge of determining whether, when, and how to rank UGC content like photos, videos, and text amongst full-fledged site websites. This technology-driven hiccup has reared its head more than once already in the past. Google even made the announced change of implementing its own algorithmets to identify content derived from UGC for ranking purposes in order to better contextualize the use of UGC in search results and blog traffic referrals in particular.

Currently, Google is under the same pressure as they fight off negative backlash by other search engines on the basis of misleading UGC ranking as though it were content created and professionally maintained by a legitimate business entity.

This is according to Tech Crunch, which recently reported that a pair of webmasters is running their own tests with the objective of determining which method works best, practically speaking, to turn Google’s “self-reliant” value system for search results that continue to favor the creation of higher-quality content in meaningful, scalable, and feasible way.

First, it should be noted that the key idea behind these site- and user-generated content (UGC) tests is that the current ranking algorithm that the Google search engine algorithm does have in place “specifically doesn’t differentiate” between UGC. By “self-reliant,” Tech Crunch explains, Google’s algorithm leaves the determination of to which group of users can be categorized or otherwise categorized regarding their quality and/or relevance solely to the person who produces the site content that is directed toward converting it into search engine traffic.

According to Google, the UGC portion of its algorithm is described as a zero-sum game, which means that the company will count the number of clicks the traffic source receives from its click-promotion method on UGC to the current, head-first count of clicks received through manual human search and keyword searches for particular keywords. According to the Inquisitr, Google similarly described “UGC” as a “cluster,” as compared to a “rhyme” of phrases that has a distinctive hierarchical structure and thus have proven to be more effective in cultivating search traffic.

As the Inquisitr also reported, Google placed emphasis on both the importance of quality content and human collaboration to convert site content into real, measurable, and robust page views across the web. However, while the search engine noted that the current ranking algorithm primarily provides a structure to the never-ending pool of available “clean room” content to type into a search box for easy search matching up, Google largely left the definition of “clean room” content to the user’s desire to actually figure out which information is actually clean, brand-appropriate, and easy to digest when put to use.

These new Google SEO Experiments seek to learn more about how these site-specific content streams have been consistently performing at capturing actual web traffic.

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The first test, conducted by Brian Molsky of image-uploading service EyeTune Stories, took a paid client of his’s that shares photos through the use of its own website set-up platform. As reported by Tech Crunch, the “cost” of this service allows the company to see all of the images shared through its offerings on a daily basis.

Molsky and his firm planned to perform an experiment that would ascertain how human-aided SEO testing would perform using the same website to categorize each photo as either #Happy, #Sad, or #Angry (empirically indicating the respective corresponding thought processes of a user when viewing content from EyeTune Stories). These images were then packaged and submitted into Google’s algorithm as UGC for the entire platform to test.

The second test, which will be performed by Charles Kim of Textaus Graphics, will involve the submission of “write-up” articles that illustrate a factual and technical content that was commissioned by a business professional in a service/business setting. Upon the submission of these articles, they will be submitted to the algorithm as UGC. In this, “grammar and lexical errors” from the submitted text will be scored for the platform and will determine if it passes as a result. Kim mentioned that these will be made “more explicit in data analysis” while also acknowledging that the metrics would not include the final search results when delivered to Google.