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POLITICAL SCIENCE AND POLITICS 2021-03 54, 1 (47) answer(s).
 
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1
ID:   177225


2020 (Re)Election According to the Iowa Electronic Markets: Politics, Pandemic, Recession, and/or Protests? / Gruca, Thomas S; Rietz, Thomas A   Journal Article
Rietz, Thomas A Journal Article
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2
ID:   177235


Australian Parties Abroad / Gauja, Anika   Journal Article
Gauja, Anika Journal Article
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3
ID:   177230


Bulgarian Diaspora Vote: a Case of A Large Untapped Electoral Potential / Rashkova, Ekaterina R   Journal Article
Rashkova, Ekaterina R Journal Article
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4
ID:   177257


Concluding Thoughts: What Can(’t) we Research About Emergency e-Learning? / Murphy, Michael P. A.   Journal Article
Murphy, Michael P. A. Journal Article
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5
ID:   177213


Contemporary Views of Liberal Democracy and the 2016 Presidential Election / Smith, Daniel A; Hicks, William D ; McKee, Seth C   Journal Article
Mckee, Seth C Journal Article
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Summary/Abstract What are Americans’ views on liberal democracy? Have their attitudes changed since the 1950s? How do their attitudes about liberal democracy shape political behavior, such as vote choice? We replicated McClosky’s (1964) seminal study on a module to the 2016 Cooperative Congressional Election Study. Our exploration of 26 survey questions reveals both continuity and change in Americans’ attitudes toward liberal democracy. Whereas Americans have become more hostile toward some standard democratic procedural rules of the game, we also find that they harbor more tolerant attitudes toward racial and ethnic equality. We subjected respondents’ answers to an exploratory factor analysis, which reveals three distinct dimensions regarding democratic values: elitism, authoritarianism, and racial supremacy. We find that elitism and racial supremacy significantly influenced political behavior in the 2016 presidential election and note that these factors contributed to mass unrest in 2020, exposing fault lines deeply rooted in America’s contentious political history.
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6
ID:   177220


Economic Pessimism and Political Punishment in 2020 / Lockerbie, Brad   Journal Article
Lockerbie, Brad Journal Article
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7
ID:   177242


Elusive Inclusion: Persistent Challenges Facing Women of Color in Political Science / Michelson, Melissa R   Journal Article
Michelson, Melissa R Journal Article
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8
ID:   177249


Forced Experimentation: Teaching Civic Engagement Online Amid Covid-19 / Sun, Taiyi   Journal Article
Sun, Taiyi Journal Article
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9
ID:   177224


Forecasting the 2020 Electoral College Winner: the State Presidential Approval/State Economy Model / Enns, Peter K; Lagodny, Julius   Journal Article
Enns, Peter K Journal Article
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10
ID:   177217


Forecasting the 2020 Presidential Election: Leading Economic Indicators, Polls, and the Vote / Erikson, Robert S   Journal Article
Erikson, Robert S Journal Article
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11
ID:   177252


Format-Flexible Pedagogy of Civil Discourse / Sweet-Cushman, Jennie   Journal Article
Sweet-Cushman, Jennie Journal Article
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12
ID:   177214


Fundamentals Matter: Forecasting the 2020 Democratic Presidential Nomination / Dowdle, Andrew J   Journal Article
Dowdle, Andrew J Journal Article
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Summary/Abstract Previous studies used pre-primary variables (e.g., endorsements, national polls, and fundraising) and momentum variables from the Iowa and New Hampshire contests to predict presidential nomination outcomes. Yet, races with no elite favorite and no clear frontrunner in polls, such as in the 2020 Democratic race, are more difficult to forecast. We replicate and extend two forecasting models from 1980 to 2016 used by Dowdle et al. (2016) to predict the 2020 results. Our models suggest that Joe Biden may have been a stronger frontrunner than expected but that subsequent models may need to incorporate other early contests, such as the South Carolina primary. Overall, our results also argue that the fundamental factors in winning presidential nominations have remained relatively stable.
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13
ID:   177231


Georgian Parties Abroad: Narrative Versus Reality / Lavrelashvili, Teona   Journal Article
Lavrelashvili, Teona Journal Article
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14
ID:   177241


How Can We Improve Graduate Training for Undocumented Students? Ethnic and Nativity-Based Inequities in Political Science Gradua / Landgrave, Michelangelo   Journal Article
Landgrave, Michelangelo Journal Article
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15
ID:   177245


Introduction: COVID-19 and Emergency e-Learning in Political Science and International Relations / Loepp, Eric D   Journal Article
Loepp, Eric D Journal Article
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16
ID:   177215


Introduction to Forecasting the 2020 US Elections / Dassonneville, Ruth   Journal Article
Dassonneville, Ruth Journal Article
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17
ID:   177216


It’s the Pandemic, Stupid! A Simplified Model for Forecasting the 2020 Presidential Election / Abramowitz, Alan I   Journal Article
Abramowitz, Alan I Journal Article
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18
ID:   177227


Let’s Be Honest about Election Forecasting / Victor, Jennifer Nicoll   Journal Article
Victor, Jennifer Nicoll Journal Article
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19
ID:   177222


Long-Range State-Level Forecast of the 2020 Presidential Election / DeSart, Jay A   Journal Article
DeSart, Jay A Journal Article
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20
ID:   177211


Macedonian Fake News Industry and the 2016 US Election / Hughes, Heather C   Journal Article
Hughes, Heather C Journal Article
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Summary/Abstract During the 2016 US presidential election, Americans were exposed to an onslaught of disinformation on social media. Many of the most viral posts originated from Veles, a small town in central Macedonia. During fieldwork in Veles, where we interviewed several residents and disinformation creators, we found that the epicenter of this viral phenomenon was Mirko Ceselkoski, an autodidact social media expert, teacher, and mentor to Veles’ fake news operators. We interviewed Ceselkoski and registered and attended his online course—the same course numerous Veles residents took offline. Our research confirms (1) the pivotal role Ceselkoski had in the creation of this industry; (2) the economic motivation driving the fake news disseminators; and (3) the manner in which the mostly young people in their early twenties with little English fluency were able to generate so much traffic and disseminate so much disinformation.
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