Partisan Rhetoric and Polarization: The Year in C-SPAN Archives Research, Volume 10 features chapters written from a variety of perspectives that address divisions in American politics. The topics range widely, including TikTok, abortion, the middle class, the January 6 riot, and partisan rhetoric in Congress. The unifying theme of the volume is that each author uses C-SPAN videos to examine how members of Congress and other elites speak and act on these issues. Two other thoughtful pieces examine Supreme Court justices speaking off the bench and emotional reactions in presidential debates. Partisan Rhetoric and Polarization provides context to understand how the partisan split in American politics is reflected and evidenced in even the highest political institutions: Congress, the presidency, and the Supreme Court.
Foreword
Preface
Acknowledgments
1. Humor and Polarization in White House Correspondents’ Dinner Comedy Speeches, by Leah C. Windsor, Alistair Windsor, Christian Kronsted, Deborah Tollefsen, J. Elliott Casal, Nicholas W. Simon, Shaun Gallagher, James Russell Haner, and August White
2. A Uniting Issue? A Framing Analysis of TikTok Ban Discourse by Congressional Representatives and Journalists, by Diana Deyoe and Diana Zulli
3. Polarization of Party and Income: Rhetorical Constructions of the Middle Class During the 117th Congress, by Dakota Park-Ozee
4. Digital Communication in Congress, 2000–2023, by Annelise Russell
5. Congressional Discussions of Abortion: Moral Framing in Context, by Diane Jackson and Jennifer Hoewe
6. Framing False Information: Examining Legislators’ Discourse Surrounding January 6, by Christina P. Walker
7. Sex and Politics: Analyzing Political Figures’ Response and Public Reaction to Sex Scandals, by Katelyn E. Brooks and Amanda E. Lilly
8. Spiritual Advisors to the U.S. Presidency: Mapping the Rhetorical Terrain, by Andrea J. Terry
9. Speaking Off the Bench: Analyzing the Extrajudicial Appearances of Supreme Court Justices, by Matthew T. Cota
10. Emotions in Televised Debates: Proposing a Multimodal Deep Learning Approach for Emotion Detection, by Joyce (Yanru) Jiang
Conclusion
Contributors
Index