Method for Automated Assessment of the Reliability of Alternative Statements in a Collection of Scientific Articles Using the Example of Overton Windows

In the era of information abundance, methods of automatically assessing the quality of information are extremely important. Reliability is among the main criteria for information quality. This paper proposes a method for assessing the reliability of opposing statements/facts based on trends in bibliographic data, provides an example of its use, and discusses the possibility of automating the method and replenishing the fact base. As an example, 1047 articles from the scientific database eLibrary containing the words “window” and “Overton” were analyzed. Using the proposed method, it is shown that “working technology” and “pseudo-scientific concept” are alternative points of view on Overton windows. It is also shown that the “working technology” point of view is more reliable.