Seekr is a news site and search engine that uses proprietary Artificial Intelligence (AI) technology to index thousands of websites and top news sources using natural language processing. Seekr takes the given query and applies a suite of machine-learning algorithms, evaluating all results with the same scrutiny as a data scientist and expert journalist.

Any time our AI detects things like persuasive techniques, contradictions, clickbait, etc. it impacts the overall score. Once complete, the Seekr Score algorithms generate a mathematically based rating of the content so people can make more informed choices about what they read before they click. For details, check out the list of factors that our AI is trained to detect and score.

Seekr evaluation algorithms offer a consistent and programmatic assessment of results in just seconds. For each result, Seekr AI analyzes the quality of information, adherence to journalistic principles, and general reliability of the author and domain source.

Each article is analyzed using several machine-learning algorithms that detect the presence of specific elements that can indicate techniques used to mislead the reader (i.e., subjectivity, absence of byline, exaggeration, clickbait, etc.) Once analyzed, the result is scored using an aggregate numerical rating based on several contributing factors. A higher presence of a particular factor may negatively impact the overall Seekr Score.  

When clicking on a Seekr Score, the Seekr Score Factors appear. These factors are defined in the following table: 

News sites are transparent when they disclose accurate information about themselves such as their mission, ethics, ownership, and policies.

Transparency is key in building trust, and fully transparent sources are likely to be more reliable. News sites that do not disclose their background cannot be held accountable and are considered uncertain.