@article{THESIS,
      recid = {12078},
      author = {Zhang, Tianze},
      title = {How Political Bias Manifests on the Digital Front Pages of  US-Based News Media},
      publisher = {University of Chicago},
      school = {M.A.},
      address = {2024-06},
      number = {THESIS},
      abstract = {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.},
      url = {http://knowledge.uchicago.edu/record/12078},
      doi = {https://doi.org/10.6082/uchicago.12078},
}