Media bias is a topic that attracts significant scholarly attention. Today, digital news media has become the primary news source for the public, but the exact manner in which political bias is reflected on the digital front pages of news media remains an under-explored topic. This study aims to fill this gap by systematically analyzing the headlines from 44 prominent U.S. news sources representing a broad political spectrum, collected bi-hourly from January through February 2024. This paper is among the first to utilize high-frequency data collection methods to examine the highly dynamic front pages of news media. Focusing on political news topics on the front pages, the findings of this paper suggest that news outlets feature political figures with opposing ideologies more prominently than those that align with the media’s political stance. Additionally, it was observed that media organizations frequently report on similar political topics simultaneously, but the tone of their coverage varies according to their political bias. These preliminary results could have broad implications for future research aimed at understanding and addressing media bias. Furthermore, this research demonstrate the effectiveness of high-frequency data collection to study digital news.