Will Lowe
Biographic Data
| ID | 3717416 |
|---|---|
| NAME | Will Lowe |
| GIVEN NAMES | Will |
| FAMILY NAME | Lowe |
| SIGNATURE | LOWE W |
| VERIFIED | No |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 692 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 8 |
Affective partisan polarization and moral dilemmas during the Covid-19 pandemic
Recent scholarship on affective polarization documents partisan animosity in people's everyday lives. But does partisan dislike go so far as to deny fundamental rights? We study this question through a moral dilemma that gained notoriety during the COVID-19 pandemic: triage decisions on the allocation of intensive medical care. Using a conjoint experiment in five countries we analyze the influence of patients’ partisanship next to commonly discus…
Prioritization preferences for Covid-19 vaccination are consistent across five countries
Vaccination against COVID-19 is making progress globally, but vaccine doses remain a rare commodity in many parts of the world. New virus variants require vaccines to be updated, hampering the availability of effective vaccines. Policymakers have defined criteria to regulate who gets priority access to the vaccination, such as age, health complications, or those who hold system-relevant jobs. But how does the public think about vaccine allocation…
A textual Taylor rule
Scholars often use voting data to estimate central bankers’ policy preferences but consensus voting is commonplace. To get around this, we combine topic-based text analysis and scaling methods to generate theoretically motivated comparative measures of central bank preferences on the US Federal Open Market Committee (FOMC) leading up to the financial crisis in a way that does not depend on voting behavior. We apply these measures to a number of a…
Multilingual Sentiment Analysis
Comparative scholars of legislative politics continue to face the challenge of measuring a key theoretical concept: conflict at the level of legislative bills. We address this challenge with a multilingual sentiment‐based approach and show that such a measure can effectively capture different types of parliamentary conflict. We also demonstrate that an automated translation of the dictionary yields valid results and therefore greatly facilitates …
Does Facebook increase political participation? Evidence from a field experiment
During the last decade, much of political behaviour research has come to be concerned with the impact of the Internet, and more recently social networking sites such as Facebook, on political and civic participation. Although existing research generally finds a modestly positive relationship between social media use and offline and online participation, the majority of contributions rely on cross-sectional data, so the causal impact of social med…
Silent professionalization
This paper applies theories of international socialization to examine the impact of European Union contact on the professional socialization of public officials in Central and Eastern Europe. Based on a survey of officials in seven new member states, the paper finds that daily work on European Union issues is associated with favourable attitudes towards merit-based civil service governance. The distinction between types of European Union contact …
Using Twitter to mobilize protest action
The extensive use of social media for protest purposes was a distinctive feature of the recent protest events in Spain, Greece, and the United States. Like the Occupy Wall Street protesters in the United States, the indignant activists of Spain and Greece protested against unjust, unequal, and corrupt political and economic institutions marked by the arrogance of those in power. Social media can potentially change or contribute to the political c…
States, the security sector, and the monopoly of violence
This article introduces the global Pro-Government Militias Database (PGMD). Despite the devastating record of some pro-government groups, there has been little research on why these forces form, under what conditions they are most likely to act, and how they affect the risk of internal conflict, repression, and state fragility. From events in the former Yugoslavia, Iraq, Sudan, or Syria and the countries of the Arab Spring we know that pro-govern…
Validating Estimates of Latent Traits from Textual Data Using Human Judgment as a Benchmark
Automated and statistical methods for estimating latent political traits and classes from textual data hold great promise, because virtually every political act involves the production of text. Statistical models of natural language features, however, are heavily laden with unrealistic assumptions about the process that generates these data, including the stochastic process of text generation, the functional link between political variables and o…
Scaling Policy Preferences from Coded Political Texts
Scholars estimating policy positions from political texts typically code words or sentences and then build left‐right policy scales based on the relative frequencies of text units coded into different categories. Here we reexamine such scales and propose a theoretically and linguistically superior alternative based on the logarithm of odds‐ratios. We contrast this scale with the current approach of the Comparative Manifesto Project (CMP), showing…
Understanding Wordscores
Wordscores is a widely used procedure for inferring policy positions, or scores, for new documents on the basis of scores for words derived from documents with known scores. It is computationally straightforward, requires no distributional assumptions, but has unresolved practical and theoretical problems. In applications, estimated document scores are on the wrong scale and the theoretical development does not specify a statistical model, so it …
Separatism as a Bargaining Posture
Why do some minorities seek affirmative action while others pursue territorial autonomy or secession, given similar conditions at the substate level? This article attempts to unpack the puzzle of minority radicalization, focusing on group claim-making as an important dynamic that has been overlooked by much of the recent quantitative literature on ethnic conflict. To address this gap, the authors introduce a new `claims' variable, which codes the…
An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders
Despite widespread recognition that aggregated summary statistics on international conflict and cooperation miss most of the complex interactions among nations, the vast majority of scholars continue to employ annual, quarterly, or (occasionally) monthly observations. Daily events data, coded from some of the huge volume of news stories produced by journalists, have not been used much for the past two decades. We offer some reason to change this …
Scaling Policy Preferences from Coded Political Texts
Scholars estimating policy positions from political texts typically code words or sentences and then build left‐right policy scales based on the relative frequencies of text units coded into different categories. Here we reexamine such scales and propose a theoretically and linguistically superior alternative based on the logarithm of odds‐ratios. We contrast this scale with the current approach of the Comparative Manifesto Project (CMP), showing…
Understanding Wordscores
Wordscores is a widely used procedure for inferring policy positions, or scores, for new documents on the basis of scores for words derived from documents with known scores. It is computationally straightforward, requires no distributional assumptions, but has unresolved practical and theoretical problems. In applications, estimated document scores are on the wrong scale and the theoretical development does not specify a statistical model, so it …
Multilingual Sentiment Analysis
Comparative scholars of legislative politics continue to face the challenge of measuring a key theoretical concept: conflict at the level of legislative bills. We address this challenge with a multilingual sentiment‐based approach and show that such a measure can effectively capture different types of parliamentary conflict. We also demonstrate that an automated translation of the dictionary yields valid results and therefore greatly facilitates …
An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders
Despite widespread recognition that aggregated summary statistics on international conflict and cooperation miss most of the complex interactions among nations, the vast majority of scholars continue to employ annual, quarterly, or (occasionally) monthly observations. Daily events data, coded from some of the huge volume of news stories produced by journalists, have not been used much for the past two decades. We offer some reason to change this …
Validating Estimates of Latent Traits from Textual Data Using Human Judgment as a Benchmark
Automated and statistical methods for estimating latent political traits and classes from textual data hold great promise, because virtually every political act involves the production of text. Statistical models of natural language features, however, are heavily laden with unrealistic assumptions about the process that generates these data, including the stochastic process of text generation, the functional link between political variables and o…
Separatism as a Bargaining Posture
Why do some minorities seek affirmative action while others pursue territorial autonomy or secession, given similar conditions at the substate level? This article attempts to unpack the puzzle of minority radicalization, focusing on group claim-making as an important dynamic that has been overlooked by much of the recent quantitative literature on ethnic conflict. To address this gap, the authors introduce a new `claims' variable, which codes the…
A textual Taylor rule
Scholars often use voting data to estimate central bankers’ policy preferences but consensus voting is commonplace. To get around this, we combine topic-based text analysis and scaling methods to generate theoretically motivated comparative measures of central bank preferences on the US Federal Open Market Committee (FOMC) leading up to the financial crisis in a way that does not depend on voting behavior. We apply these measures to a number of a…
Silent professionalization
This paper applies theories of international socialization to examine the impact of European Union contact on the professional socialization of public officials in Central and Eastern Europe. Based on a survey of officials in seven new member states, the paper finds that daily work on European Union issues is associated with favourable attitudes towards merit-based civil service governance. The distinction between types of European Union contact …
Affective partisan polarization and moral dilemmas during the Covid-19 pandemic
Recent scholarship on affective polarization documents partisan animosity in people's everyday lives. But does partisan dislike go so far as to deny fundamental rights? We study this question through a moral dilemma that gained notoriety during the COVID-19 pandemic: triage decisions on the allocation of intensive medical care. Using a conjoint experiment in five countries we analyze the influence of patients’ partisanship next to commonly discus…
An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders
Despite widespread recognition that aggregated summary statistics on international conflict and cooperation miss most of the complex interactions among nations, the vast majority of scholars continue to employ annual, quarterly, or (occasionally) monthly observations. Daily events data, coded from some of the huge volume of news stories produced by journalists, have not been used much for the past two decades. We offer some reason to change this …
Separatism as a Bargaining Posture
Why do some minorities seek affirmative action while others pursue territorial autonomy or secession, given similar conditions at the substate level? This article attempts to unpack the puzzle of minority radicalization, focusing on group claim-making as an important dynamic that has been overlooked by much of the recent quantitative literature on ethnic conflict. To address this gap, the authors introduce a new `claims' variable, which codes the…
Understanding Wordscores
Wordscores is a widely used procedure for inferring policy positions, or scores, for new documents on the basis of scores for words derived from documents with known scores. It is computationally straightforward, requires no distributional assumptions, but has unresolved practical and theoretical problems. In applications, estimated document scores are on the wrong scale and the theoretical development does not specify a statistical model, so it …
Scaling Policy Preferences from Coded Political Texts
Scholars estimating policy positions from political texts typically code words or sentences and then build left‐right policy scales based on the relative frequencies of text units coded into different categories. Here we reexamine such scales and propose a theoretically and linguistically superior alternative based on the logarithm of odds‐ratios. We contrast this scale with the current approach of the Comparative Manifesto Project (CMP), showing…
States, the security sector, and the monopoly of violence
This article introduces the global Pro-Government Militias Database (PGMD). Despite the devastating record of some pro-government groups, there has been little research on why these forces form, under what conditions they are most likely to act, and how they affect the risk of internal conflict, repression, and state fragility. From events in the former Yugoslavia, Iraq, Sudan, or Syria and the countries of the Arab Spring we know that pro-govern…
Validating Estimates of Latent Traits from Textual Data Using Human Judgment as a Benchmark
Automated and statistical methods for estimating latent political traits and classes from textual data hold great promise, because virtually every political act involves the production of text. Statistical models of natural language features, however, are heavily laden with unrealistic assumptions about the process that generates these data, including the stochastic process of text generation, the functional link between political variables and o…
Using Twitter to mobilize protest action
The extensive use of social media for protest purposes was a distinctive feature of the recent protest events in Spain, Greece, and the United States. Like the Occupy Wall Street protesters in the United States, the indignant activists of Spain and Greece protested against unjust, unequal, and corrupt political and economic institutions marked by the arrogance of those in power. Social media can potentially change or contribute to the political c…
Does Facebook increase political participation? Evidence from a field experiment
During the last decade, much of political behaviour research has come to be concerned with the impact of the Internet, and more recently social networking sites such as Facebook, on political and civic participation. Although existing research generally finds a modestly positive relationship between social media use and offline and online participation, the majority of contributions rely on cross-sectional data, so the causal impact of social med…
Silent professionalization
This paper applies theories of international socialization to examine the impact of European Union contact on the professional socialization of public officials in Central and Eastern Europe. Based on a survey of officials in seven new member states, the paper finds that daily work on European Union issues is associated with favourable attitudes towards merit-based civil service governance. The distinction between types of European Union contact …
Multilingual Sentiment Analysis
Comparative scholars of legislative politics continue to face the challenge of measuring a key theoretical concept: conflict at the level of legislative bills. We address this challenge with a multilingual sentiment‐based approach and show that such a measure can effectively capture different types of parliamentary conflict. We also demonstrate that an automated translation of the dictionary yields valid results and therefore greatly facilitates …
A textual Taylor rule
Scholars often use voting data to estimate central bankers’ policy preferences but consensus voting is commonplace. To get around this, we combine topic-based text analysis and scaling methods to generate theoretically motivated comparative measures of central bank preferences on the US Federal Open Market Committee (FOMC) leading up to the financial crisis in a way that does not depend on voting behavior. We apply these measures to a number of a…
Prioritization preferences for Covid-19 vaccination are consistent across five countries
Vaccination against COVID-19 is making progress globally, but vaccine doses remain a rare commodity in many parts of the world. New virus variants require vaccines to be updated, hampering the availability of effective vaccines. Policymakers have defined criteria to regulate who gets priority access to the vaccination, such as age, health complications, or those who hold system-relevant jobs. But how does the public think about vaccine allocation…
Affective partisan polarization and moral dilemmas during the Covid-19 pandemic
Recent scholarship on affective polarization documents partisan animosity in people's everyday lives. But does partisan dislike go so far as to deny fundamental rights? We study this question through a moral dilemma that gained notoriety during the COVID-19 pandemic: triage decisions on the allocation of intensive medical care. Using a conjoint experiment in five countries we analyze the influence of patients’ partisanship next to commonly discus…
Political science (12 works) · Computer Science (8 works) · Law (8 works) · Politics (7 works) · Economics (6 works) · Electoral Systems and Political Participation (6 works) · Sociology (6 works) · Artificial Intelligence (5 works) · Law (5 works) · Psychology (4 works)