Bryce J Dietrich
Biographic Data
| ID | 921345 |
|---|---|
| NAME | Bryce J Dietrich |
| GIVEN NAMES | Bryce J |
| FAMILY NAME | Dietrich |
| SIGNATURE | DIETRICH B J |
| AFFILIATIONS | University of Iowa |
| ORCID | 0000-0002-9781-3088 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 174 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 6 |
Stand up and be counted: Using traffic cameras to assess voting behavior in real time
Despite their ubiquity, few have used traffic camera networks for social science research. Using 1,312,977 images collected from 768 London-based cameras leading up to the 2015 UK general election, this study not only demonstrates how traffic camera data can be used to effectively measure same-day turnout, but we also provide ways such data can be used to assess political behavior more broadly. Such automated enumeration is especially important i…
Natural language processing meets spatial time series analysis and geovisualization: Identifying and visualizing spatio-topical sentiment trends on Twitter
Previous studies have introduced various approaches for visualizing the spatial and temporal distributions of sentiments expressed on social media. However, many existing methods either overlook the evolving nature of sentiments or fail to account for the spatial distribution of sentiment trends related to specific topics. To gain a comprehensive understanding of how sentiments evolve in relation to topics and geographies, it is essential to capt…
Symbols of the Struggle: Descriptive Representation and Issue-Based Symbolism in US House Speeches
The rhetoric legislators use to discuss race is both important and understudied. In this article, we explore whether the presence of Black legislators influences symbolic representation in the US House. We ask three questions. First, do Black and white members of Congress talk about issues involving race at different rates? Second, when Black and white members of Congress talk about race, do they do so in different ways? Third, do these rhetorica…
Seeing racial avoidance on New York City streets
Sensitive Questions, Spillover Effects, and Asking about Citizenship on the US Census
Many topics social scientists study are sensitive in nature. Although we know some people may be reluctant to respond to sensitive questions in surveys, we know less about how such questions could influence responses to other questions appearing later in a survey. In this study, we use the Trump administration’s proposal to include a citizenship question on the 2020 Census to demonstrate how such spillover effects can undermine important survey-b…
Race and Symbolic Politics in the US Congress
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Gender, language, and representation in the United States Senate
We explore how gendered language in Senate floor debates evolves between the 101st and 109th sessions (N=229,526 speeches). We hypothesize that female Senators speak like women in the general population, that their speeches focus on traditionally designated women’s issues, and that they use female linguistic strategies found in the general population when discussing low politics or women’s issues. We also expect women to speak like legislators, a…
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives
Although previous scholars have used image data to answer important political science questions, less attention has been paid to video-based measures. In this study, I use motion detection to understand the extent to which members of Congress (MCs) literally cross the aisle, but motion detection can be used to study a wide range of political phenomena, like protests, political speeches, campaign events, or oral arguments. I find not only are Demo…
Pitch Perfect: Vocal Pitch and the Emotional Intensity of Congressional Speech
Although audio archives are available for a number of political institutions, the data they provide receive scant attention from researchers. Yet, audio data offer important insights, including information about speakers' emotional states. Using one of the largest collections of natural audio ever compiled-74,158 Congressional floor speeches-we introduce a novel measure of legislators' emotional intensity: small changes in vocal pitch that are di…
CarSenToGram: Geovisual text analytics for exploring spatiotemporal variation in public discourse on Twitter
Assessing the impact of events on the evolution of online public discourse is challenging due to the lack of data prior to the event and appropriate methodologies for capturing the progression of tenor of public discourse, both in terms of their tone and topic. In this article, we introduce a geovisual analytics framework, CarSenToGram, which integrates topic modeling and sentiment analysis with cartograms to identify the changing dynamics of pub…
Emotional Arousal Predicts Voting on the U.S. Supreme Court
Do judges telegraph their preferences during oral arguments? Using the U.S. Supreme Court as our example, we demonstrate that Justices implicitly reveal their leanings during oral arguments, even before arguments and deliberations have concluded. Specifically, we extract the emotional content of over 3,000 hours of audio recordings spanning 30 years of oral arguments before the Court. We then use the level of emotional arousal, as measured by voc…
Personality and Legislative Politics: The Big Five Trait Dimensions Among U.S. State Legislators
The impact of personality traits on people's attitudes and behaviors is widely recognized, yet systematic attention to personality in large‐N research on elected officials has been rare. Among psychologists, five‐factor frameworks that focus on openness to experience, conscientiousness, extraversion, agreeableness, and emotional stability have gained tremendous prominence in the past two decades. Applications of these frameworks to the study of m…
Pitch Perfect: Vocal Pitch and the Emotional Intensity of Congressional Speech
Although audio archives are available for a number of political institutions, the data they provide receive scant attention from researchers. Yet, audio data offer important insights, including information about speakers' emotional states. Using one of the largest collections of natural audio ever compiled-74,158 Congressional floor speeches-we introduce a novel measure of legislators' emotional intensity: small changes in vocal pitch that are di…
Personality and Legislative Politics: The Big Five Trait Dimensions Among U.S. State Legislators
The impact of personality traits on people's attitudes and behaviors is widely recognized, yet systematic attention to personality in large‐N research on elected officials has been rare. Among psychologists, five‐factor frameworks that focus on openness to experience, conscientiousness, extraversion, agreeableness, and emotional stability have gained tremendous prominence in the past two decades. Applications of these frameworks to the study of m…
Emotional Arousal Predicts Voting on the U.S. Supreme Court
Do judges telegraph their preferences during oral arguments? Using the U.S. Supreme Court as our example, we demonstrate that Justices implicitly reveal their leanings during oral arguments, even before arguments and deliberations have concluded. Specifically, we extract the emotional content of over 3,000 hours of audio recordings spanning 30 years of oral arguments before the Court. We then use the level of emotional arousal, as measured by voc…
Symbols of the Struggle: Descriptive Representation and Issue-Based Symbolism in US House Speeches
The rhetoric legislators use to discuss race is both important and understudied. In this article, we explore whether the presence of Black legislators influences symbolic representation in the US House. We ask three questions. First, do Black and white members of Congress talk about issues involving race at different rates? Second, when Black and white members of Congress talk about race, do they do so in different ways? Third, do these rhetorica…
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives
Although previous scholars have used image data to answer important political science questions, less attention has been paid to video-based measures. In this study, I use motion detection to understand the extent to which members of Congress (MCs) literally cross the aisle, but motion detection can be used to study a wide range of political phenomena, like protests, political speeches, campaign events, or oral arguments. I find not only are Demo…
Seeing racial avoidance on New York City streets
Sensitive Questions, Spillover Effects, and Asking about Citizenship on the US Census
Many topics social scientists study are sensitive in nature. Although we know some people may be reluctant to respond to sensitive questions in surveys, we know less about how such questions could influence responses to other questions appearing later in a survey. In this study, we use the Trump administration’s proposal to include a citizenship question on the 2020 Census to demonstrate how such spillover effects can undermine important survey-b…
CarSenToGram: Geovisual text analytics for exploring spatiotemporal variation in public discourse on Twitter
Assessing the impact of events on the evolution of online public discourse is challenging due to the lack of data prior to the event and appropriate methodologies for capturing the progression of tenor of public discourse, both in terms of their tone and topic. In this article, we introduce a geovisual analytics framework, CarSenToGram, which integrates topic modeling and sentiment analysis with cartograms to identify the changing dynamics of pub…
Race and Symbolic Politics in the US Congress
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Personality and Legislative Politics: The Big Five Trait Dimensions Among U.S. State Legislators
The impact of personality traits on people's attitudes and behaviors is widely recognized, yet systematic attention to personality in large‐N research on elected officials has been rare. Among psychologists, five‐factor frameworks that focus on openness to experience, conscientiousness, extraversion, agreeableness, and emotional stability have gained tremendous prominence in the past two decades. Applications of these frameworks to the study of m…
CarSenToGram: Geovisual text analytics for exploring spatiotemporal variation in public discourse on Twitter
Assessing the impact of events on the evolution of online public discourse is challenging due to the lack of data prior to the event and appropriate methodologies for capturing the progression of tenor of public discourse, both in terms of their tone and topic. In this article, we introduce a geovisual analytics framework, CarSenToGram, which integrates topic modeling and sentiment analysis with cartograms to identify the changing dynamics of pub…
Emotional Arousal Predicts Voting on the U.S. Supreme Court
Do judges telegraph their preferences during oral arguments? Using the U.S. Supreme Court as our example, we demonstrate that Justices implicitly reveal their leanings during oral arguments, even before arguments and deliberations have concluded. Specifically, we extract the emotional content of over 3,000 hours of audio recordings spanning 30 years of oral arguments before the Court. We then use the level of emotional arousal, as measured by voc…
Pitch Perfect: Vocal Pitch and the Emotional Intensity of Congressional Speech
Although audio archives are available for a number of political institutions, the data they provide receive scant attention from researchers. Yet, audio data offer important insights, including information about speakers' emotional states. Using one of the largest collections of natural audio ever compiled-74,158 Congressional floor speeches-we introduce a novel measure of legislators' emotional intensity: small changes in vocal pitch that are di…
Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives
Although previous scholars have used image data to answer important political science questions, less attention has been paid to video-based measures. In this study, I use motion detection to understand the extent to which members of Congress (MCs) literally cross the aisle, but motion detection can be used to study a wide range of political phenomena, like protests, political speeches, campaign events, or oral arguments. I find not only are Demo…
Sensitive Questions, Spillover Effects, and Asking about Citizenship on the US Census
Many topics social scientists study are sensitive in nature. Although we know some people may be reluctant to respond to sensitive questions in surveys, we know less about how such questions could influence responses to other questions appearing later in a survey. In this study, we use the Trump administration’s proposal to include a citizenship question on the 2020 Census to demonstrate how such spillover effects can undermine important survey-b…
Race and Symbolic Politics in the US Congress
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Gender, language, and representation in the United States Senate
We explore how gendered language in Senate floor debates evolves between the 101st and 109th sessions (N=229,526 speeches). We hypothesize that female Senators speak like women in the general population, that their speeches focus on traditionally designated women’s issues, and that they use female linguistic strategies found in the general population when discussing low politics or women’s issues. We also expect women to speak like legislators, a…
Natural language processing meets spatial time series analysis and geovisualization: Identifying and visualizing spatio-topical sentiment trends on Twitter
Previous studies have introduced various approaches for visualizing the spatial and temporal distributions of sentiments expressed on social media. However, many existing methods either overlook the evolving nature of sentiments or fail to account for the spatial distribution of sentiment trends related to specific topics. To gain a comprehensive understanding of how sentiments evolve in relation to topics and geographies, it is essential to capt…
Symbols of the Struggle: Descriptive Representation and Issue-Based Symbolism in US House Speeches
The rhetoric legislators use to discuss race is both important and understudied. In this article, we explore whether the presence of Black legislators influences symbolic representation in the US House. We ask three questions. First, do Black and white members of Congress talk about issues involving race at different rates? Second, when Black and white members of Congress talk about race, do they do so in different ways? Third, do these rhetorica…
Seeing racial avoidance on New York City streets
Stand up and be counted: Using traffic cameras to assess voting behavior in real time
Despite their ubiquity, few have used traffic camera networks for social science research. Using 1,312,977 images collected from 768 London-based cameras leading up to the 2015 UK general election, this study not only demonstrates how traffic camera data can be used to effectively measure same-day turnout, but we also provide ways such data can be used to assess political behavior more broadly. Such automated enumeration is especially important i…
Political science (10 works) · Psychology (9 works) · Law (8 works) · Law (8 works) · Politics (8 works) · Computer Science (7 works) · Social Psychology (6 works) · Electoral Systems and Political Participation (5 works) · Social Psychology (5 works) · Sociology (5 works)