Beyond the Zodiac: Investigating Confirmation Bias in Newspaper Horoscopes via Machine Learning Techniques

Abstract

This study delves into the intriguing realm of newspaper horoscopes, seeking to unravel the presence of confirmation bias through the lens of machine learning techniques. Titled "Beyond the Zodiac: Investigating Confirmation Bias in Newspaper Horoscopes via Machine Learning Techniques," this research scrutinizes the accuracy and objectivity of horoscope predictions by employing various machine learning algorithms. Through a comprehensive review of newspaper horoscopes, this investigation aims to shed light on potential biases that may influence astrological forecasts. Leveraging the power of machine learning, this study employs advanced algorithms to detect patterns and discrepancies within horoscope data, providing valuable insights into the presence and extent of confirmation bias in this widely consumed form of media content.

By applying sophisticated machine learning methodologies to analyze newspaper horoscopes, this research contributes to the growing discourse on media bias detection and enhances our understanding of the influence of confirmation bias in astrological predictions. The findings of this study hold implications for both media consumers and producers, offering a critical examination of the reliability and credibility of newspaper horoscopes. Ultimately, this research endeavours to foster greater awareness and discernment among readers regarding the interpretation of astrological forecasts, highlighting empirical analysis in in the media landscape.