| The decline of the death penalty and the discovery of innocence FR Baumgartner, SL De Boef, AE Boydstun Cambridge University Press, 2008 | 642 | 2008 |
| Making the news: Politics, the media & agenda setting AE Boydstun University of Chicago Press, 2013 | 459 | 2013 |
| The media frames corpus: Annotations of frames across issues D Card, A Boydstun, JH Gross, P Resnik, NA Smith Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 258 | 2015 |
| The importance of attention diversity and how to measure it AE Boydstun, S Bevan, HF Thomas III Policy Studies Journal 42 (2), 173-196, 2014 | 233 | 2014 |
| Automated text classification of news articles: A practical guide P Barberį, AE Boydstun, S Linn, R McMahon, J Nagler Political Analysis 29 (1), 19-42, 2021 | 182 | 2021 |
| RTextTools: A Supervised Learning Package for Text Classification TP Jurka, L Collingwood, AE Boydstun, E Grossman The R journal 5 (1), 6-12, 2013 | 178 | 2013 |
| Two faces of media attention: Media storm versus non-storm coverage AE Boydstun, A Hardy, S Walgrave Political Communication 31 (4), 509-531, 2014 | 167 | 2014 |
| Identifying media frames and frame dynamics within and across policy issues AE Boydstun, JH Gross, P Resnik, NA Smith New Directions in Analyzing Text as Data Workshop, London, 27-28, 2013 | 117 | 2013 |
| Media framing of capital punishment and its impact on individuals' cognitive responses FE Dardis, FR Baumgartner, AE Boydstun, S De Boef, F Shen Mass Communication & Society 11 (2), 115-140, 2008 | 113 | 2008 |
| The president, the press, and the war: A tale of two framing agendas RA Glazier, AE Boydstun Political Communication 29 (4), 428-446, 2012 | 109 | 2012 |
| RTextTools: Automatic text classification via supervised learning TP Jurka, L Collingwood, AE Boydstun, E Grossman, W van Atteveldt R package version 1 (9), 2012 | 91 | 2012 |
| Analyzing Framing through the Casts of Characters in the News D Card, JH Gross, A Boydstun, NA Smith Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 86 | 2016 |
| Sticky prospects: Loss frames are cognitively stickier than gain frames. A Ledgerwood, AE Boydstun Journal of Experimental Psychology: General 143 (1), 376, 2014 | 86 | 2014 |
| Tracking the development of media frames within and across policy issues AE Boydstun, D Card, JH Gross, P Resnik, NA Smith APSA 2014 annual meeting paper, 2014 | 79 | 2014 |
| A two‐tiered method for identifying trends in media framing of policy issues: The case of the war on terror AE Boydstun, RA Glazier Policy Studies Journal 41 (4), 706-735, 2013 | 79 | 2013 |
| Playing to the crowd: Agenda control in presidential debates AE Boydstun, RA Glazier, MT Pietryka Political Communication 30 (2), 254-277, 2013 | 68 | 2013 |
| Women also know stuff: meta-level mentoring to battle gender bias in political science E Beaulieu, AE Boydstun, NE Brown, KY Dionne, A Gillespie, S Klar, ... PS: Political Science & Politics 50 (3), 779-783, 2017 | 66 | 2017 |
| What we should really be asking about media attention to Trump RG Lawrence, AE Boydstun Political Communication 34 (1), 150-153, 2017 | 66 | 2017 |
| Real-time reactions to a 2012 presidential debate: A method for understanding which messages matter AE Boydstun, RA Glazier, MT Pietryka, P Resnik Public Opinion Quarterly 78 (S1), 330-343, 2014 | 60 | 2014 |
| The nonlinear effect of information on political attention: Media storms and US congressional hearings S Walgrave, AE Boydstun, R Vliegenthart, A Hardy Political Communication 34 (4), 548-570, 2017 | 50 | 2017 |
Frank BaumgartnerProfessor of Political Science, UNC-Chapel HillVerified email at unc.edu
