Burt L Monroe
Biographic Data
| ID | 1131071 |
|---|---|
| NAME | Burt L Monroe |
| GIVEN NAMES | Burt L |
| FAMILY NAME | Monroe |
| SIGNATURE | MONROE B L |
| AFFILIATIONS | Pennsylvania State University |
| ORCID | 0000-0002-6550-8804 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 531 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 8 |
Sentiment is Not Stance
Sentiment analysis techniques have a long history in natural language processing and have become a standard tool in the analysis of political texts, promising a conceptually straightforward automated method of extracting meaning from textual data by scoring documents on a scale from positive to negative. However, while these kinds of sentiment scores can capture the overall tone of a document, the underlying concept of interest for political anal…
Analysing community reaction to refugees through text analysis of social media data
Understanding the social integration of refugees requires scholars and community leaders to understand the complex and varied political reaction of citizens to the prospect and reality of refugees entering their local communities. In this study, we apply the Structural Topic Model (STM) to characterise citizen-level discourse in comments posted in response to refugee-related news articles on Facebook in Lancaster, Pennsylvania, and Roanoke, Virgi…
The Meanings of “Meaning” in Social Scientific Text Analysis
No! Formal Theory, Causal Inference, and Big Data Are Not Contradictory Trends in Political Science
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
The Five Vs of Big Data Political Science Introduction to the Virtual Issue on Big Data in Political Science Political Analysis
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button
How to Analyze Political Attention with Minimal Assumptions and Costs
Previous methods of analyzing the substance of political attention have had to make several restrictive assumptions or been prohibitively costly when applied to large‐scale political texts. Here, we describe a topic model for legislative speech, a statistical learning model that uses word choices to infer topical categories covered in a set of speeches and to identify the topic of specific speeches. Our method estimates, rather than assumes, the …
Fightin' Words
Entries in the burgeoning “text-as-data” movement are often accompanied by lists or visualizations of how word (or other lexical feature) usage differs across some pair or set of documents. These are intended either to establish some target semantic concept (like the content of partisan frames) to estimate word-specific measures that feed forward into another analysis (like locating parties in ideological space) or both. We discuss a variety of t…
Introduction to the Special Issue
Text is arguably the most pervasive—and certainly the most persistent—artifact of political behavior. Extensive collections of texts with clearly recognizable political—as distinct from religious—content go back as far as 2500 BCE in the case of Mesopotamia and 1300 BCE for China, and 2400-year-old political discussions dating back to the likes of Plato, Aristotle, and Thucydides are common fare even in the introductory study of political thought…
Electoral Systems and Unimagined Consequences
correlated interests to convert sup? port into parliamentary representation and to obtain unfragmented parlia? mentary representation. We demon? strate, with analyses of twenty-four elections in sixteen countries, that the variance effect operates as theoretically predicted and is surprisingly important. Electoral systems scholarship has often focused on how electoral systems shape party systems. Several major works on electoral sys? tems?e.g., D…
Duncan Black and Lewis Carroll
After evaluating the stature of Duncan Black as one of the founders of the modern theoretical study of politics, we show how frustrated Black was by the lack of recognition accorded to his work, especially in the UK. This led to considerable difficulty in getting his work published. In particular, his work on a like-minded predecessor, C. L. Dodgson (`Lewis Carroll'), remains in part unpublished. In it, Black withdraws his earlier assertion that …
Fully Proportional Representation
Even though voters can have complex preferences over multiple candidates or parties, all extant electoral systems provide political representation based solely or primarily on voters' first preferences. I present a new concept of proportional representation that takes account of voters' preferences over the full list of alternatives-fully proportional representation (FPR)-and schemes for its implementation. I outline a "pure" FPR scheme, but beca…
Understanding Electoral Systems
Although we often plead with our colleagues and students to be more “systematic,” we may not always be clear about what we mean. In biology, systematics is the “scientific study of the kinds and diversity of organisms and of any and all relationships among them” (Simpson 1961), the most important aspect of which is taxonomy , “the theory and practice of classifying organisms into groups on the basis of their relationships” (Mayr 1969). In politic…
Disproportionality and malapportionment
In Defense of Reciprocity
The Forum consists of comments on previously published papers and responses by authors. Unlike the Comment section in many other academic journals, the Forum includes solicited as well as unsolicited contributions. We encourage debates by actively seeking points of view contrary to those expressed in articles published in the journal. The Forum is intended to promote an open and critical debate that contributes to the intellectual vitality and fu…
How to Analyze Political Attention with Minimal Assumptions and Costs
Previous methods of analyzing the substance of political attention have had to make several restrictive assumptions or been prohibitively costly when applied to large‐scale political texts. Here, we describe a topic model for legislative speech, a statistical learning model that uses word choices to infer topical categories covered in a set of speeches and to identify the topic of specific speeches. Our method estimates, rather than assumes, the …
Fightin' Words
Entries in the burgeoning “text-as-data” movement are often accompanied by lists or visualizations of how word (or other lexical feature) usage differs across some pair or set of documents. These are intended either to establish some target semantic concept (like the content of partisan frames) to estimate word-specific measures that feed forward into another analysis (like locating parties in ideological space) or both. We discuss a variety of t…
Electoral Systems and Unimagined Consequences
correlated interests to convert sup? port into parliamentary representation and to obtain unfragmented parlia? mentary representation. We demon? strate, with analyses of twenty-four elections in sixteen countries, that the variance effect operates as theoretically predicted and is surprisingly important. Electoral systems scholarship has often focused on how electoral systems shape party systems. Several major works on electoral sys? tems?e.g., D…
Introduction to the Special Issue
Text is arguably the most pervasive—and certainly the most persistent—artifact of political behavior. Extensive collections of texts with clearly recognizable political—as distinct from religious—content go back as far as 2500 BCE in the case of Mesopotamia and 1300 BCE for China, and 2400-year-old political discussions dating back to the likes of Plato, Aristotle, and Thucydides are common fare even in the introductory study of political thought…
Sentiment is Not Stance
Sentiment analysis techniques have a long history in natural language processing and have become a standard tool in the analysis of political texts, promising a conceptually straightforward automated method of extracting meaning from textual data by scoring documents on a scale from positive to negative. However, while these kinds of sentiment scores can capture the overall tone of a document, the underlying concept of interest for political anal…
Disproportionality and malapportionment
Fully Proportional Representation
Even though voters can have complex preferences over multiple candidates or parties, all extant electoral systems provide political representation based solely or primarily on voters' first preferences. I present a new concept of proportional representation that takes account of voters' preferences over the full list of alternatives-fully proportional representation (FPR)-and schemes for its implementation. I outline a "pure" FPR scheme, but beca…
The Five Vs of Big Data Political Science Introduction to the Virtual Issue on Big Data in Political Science Political Analysis
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button
No! Formal Theory, Causal Inference, and Big Data Are Not Contradictory Trends in Political Science
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
Analysing community reaction to refugees through text analysis of social media data
Understanding the social integration of refugees requires scholars and community leaders to understand the complex and varied political reaction of citizens to the prospect and reality of refugees entering their local communities. In this study, we apply the Structural Topic Model (STM) to characterise citizen-level discourse in comments posted in response to refugee-related news articles on Facebook in Lancaster, Pennsylvania, and Roanoke, Virgi…
Duncan Black and Lewis Carroll
After evaluating the stature of Duncan Black as one of the founders of the modern theoretical study of politics, we show how frustrated Black was by the lack of recognition accorded to his work, especially in the UK. This led to considerable difficulty in getting his work published. In particular, his work on a like-minded predecessor, C. L. Dodgson (`Lewis Carroll'), remains in part unpublished. In it, Black withdraws his earlier assertion that …
The Meanings of “Meaning” in Social Scientific Text Analysis
In Defense of Reciprocity
The Forum consists of comments on previously published papers and responses by authors. Unlike the Comment section in many other academic journals, the Forum includes solicited as well as unsolicited contributions. We encourage debates by actively seeking points of view contrary to those expressed in articles published in the journal. The Forum is intended to promote an open and critical debate that contributes to the intellectual vitality and fu…
Understanding Electoral Systems
Although we often plead with our colleagues and students to be more “systematic,” we may not always be clear about what we mean. In biology, systematics is the “scientific study of the kinds and diversity of organisms and of any and all relationships among them” (Simpson 1961), the most important aspect of which is taxonomy , “the theory and practice of classifying organisms into groups on the basis of their relationships” (Mayr 1969). In politic…
Disproportionality and malapportionment
Duncan Black and Lewis Carroll
After evaluating the stature of Duncan Black as one of the founders of the modern theoretical study of politics, we show how frustrated Black was by the lack of recognition accorded to his work, especially in the UK. This led to considerable difficulty in getting his work published. In particular, his work on a like-minded predecessor, C. L. Dodgson (`Lewis Carroll'), remains in part unpublished. In it, Black withdraws his earlier assertion that …
Fully Proportional Representation
Even though voters can have complex preferences over multiple candidates or parties, all extant electoral systems provide political representation based solely or primarily on voters' first preferences. I present a new concept of proportional representation that takes account of voters' preferences over the full list of alternatives-fully proportional representation (FPR)-and schemes for its implementation. I outline a "pure" FPR scheme, but beca…
Electoral Systems and Unimagined Consequences
correlated interests to convert sup? port into parliamentary representation and to obtain unfragmented parlia? mentary representation. We demon? strate, with analyses of twenty-four elections in sixteen countries, that the variance effect operates as theoretically predicted and is surprisingly important. Electoral systems scholarship has often focused on how electoral systems shape party systems. Several major works on electoral sys? tems?e.g., D…
Fightin' Words
Entries in the burgeoning “text-as-data” movement are often accompanied by lists or visualizations of how word (or other lexical feature) usage differs across some pair or set of documents. These are intended either to establish some target semantic concept (like the content of partisan frames) to estimate word-specific measures that feed forward into another analysis (like locating parties in ideological space) or both. We discuss a variety of t…
Introduction to the Special Issue
Text is arguably the most pervasive—and certainly the most persistent—artifact of political behavior. Extensive collections of texts with clearly recognizable political—as distinct from religious—content go back as far as 2500 BCE in the case of Mesopotamia and 1300 BCE for China, and 2400-year-old political discussions dating back to the likes of Plato, Aristotle, and Thucydides are common fare even in the introductory study of political thought…
How to Analyze Political Attention with Minimal Assumptions and Costs
Previous methods of analyzing the substance of political attention have had to make several restrictive assumptions or been prohibitively costly when applied to large‐scale political texts. Here, we describe a topic model for legislative speech, a statistical learning model that uses word choices to infer topical categories covered in a set of speeches and to identify the topic of specific speeches. Our method estimates, rather than assumes, the …
The Five Vs of Big Data Political Science Introduction to the Virtual Issue on Big Data in Political Science Political Analysis
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button
No! Formal Theory, Causal Inference, and Big Data Are Not Contradictory Trends in Political Science
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
The Meanings of “Meaning” in Social Scientific Text Analysis
Sentiment is Not Stance
Sentiment analysis techniques have a long history in natural language processing and have become a standard tool in the analysis of political texts, promising a conceptually straightforward automated method of extracting meaning from textual data by scoring documents on a scale from positive to negative. However, while these kinds of sentiment scores can capture the overall tone of a document, the underlying concept of interest for political anal…
Analysing community reaction to refugees through text analysis of social media data
Understanding the social integration of refugees requires scholars and community leaders to understand the complex and varied political reaction of citizens to the prospect and reality of refugees entering their local communities. In this study, we apply the Structural Topic Model (STM) to characterise citizen-level discourse in comments posted in response to refugee-related news articles on Facebook in Lancaster, Pennsylvania, and Roanoke, Virgi…
Computer Science (12 works) · Political science (12 works) · Law (11 works) · Politics (10 works) · Electoral Systems and Political Participation (9 works) · Law (9 works) · Computational and Text Analysis Methods (8 works) · Sociology (8 works) · Economics (5 works) · Epistemology (5 works)