I examine partisan bias in broadcast and cable news coverage of the first impeachment of President Trump by evaluating how well three theories of news generation—network bias, marketplace incentives, and institutional forces—predict coverage, framing, and tonal biases. While no single theory provides a complete explanation of all partisan bias, institutional forces explain impeachment coverage better than either network bias or marketplace incentives. This research also highlights the nuanced nature of partisan frame representation, and suggests that institutional and marketplace theories better predict partisan frame diversity than theories of a partisan press. Finally, analysis of tonal bias reveals complex variations across and within news mediums, challenging simplistic narratives of network bias. My research shows that many of the professional norms and routines that have long been known to influence news generation continue to do so even as they evolve.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc2356179 |
| Date | 07 1900 |
| Creators | Montgomery, Joshua Phillip |
| Contributors | Eshbaugh-Soha, Matthew, Branton, Regina, Duff, Alexander, English, Ashley |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Montgomery, Joshua Phillip, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
Page generated in 0.0016 seconds