In this empirical investigation, we delve into the phenomenon known as the "Attention Hijacking Effect" (AHE). Utilizing Google's annual search index data spanning from 2006 to 2022, we have amassed a comprehensive dataset from four countries: the United States, Japan, the United Kingdom, and France. This dataset, comprising 1089 entries, each correlating with annual news events as listed on Wikipedia, provides an expansive perspective on the shifting attention towards specific news terminologies over time.We employed linear regression analysis to explore the relationship between the familiarity with news-related terms and the duration of attention these terms command. Our findings indicate a significant positive correlation across all four countries, statistically significant at the 0.01 level. However, the variance explained (R-squared values) is relatively low, suggesting the potential existence of other influential factors not considered in this study that significantly impact the duration of attention.These findings underscore the complexity of attention dynamics and the necessity for continued scholarly exploration in this field. We anticipate that these insights will render our readers more informed and enhance their understanding of the AHE theory.