Political Analysis最新文献

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Cross-Domain Topic Classification for Political Texts 政治文本的跨领域主题分类
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-10-21 DOI: 10.1017/pan.2021.37
Moritz Osnabrügge, Elliott Ash, M. Morelli
{"title":"Cross-Domain Topic Classification for Political Texts","authors":"Moritz Osnabrügge, Elliott Ash, M. Morelli","doi":"10.1017/pan.2021.37","DOIUrl":"https://doi.org/10.1017/pan.2021.37","url":null,"abstract":"Abstract We introduce and assess the use of supervised learning in cross-domain topic classification. In this approach, an algorithm learns to classify topics in a labeled source corpus and then extrapolates topics in an unlabeled target corpus from another domain. The ability to use existing training data makes this method significantly more efficient than within-domain supervised learning. It also has three advantages over unsupervised topic models: the method can be more specifically targeted to a research question and the resulting topics are easier to validate and interpret. We demonstrate the method using the case of labeled party platforms (source corpus) and unlabeled parliamentary speeches (target corpus). In addition to the standard within-domain error metrics, we further validate the cross-domain performance by labeling a subset of target-corpus documents. We find that the classifier accurately assigns topics in the parliamentary speeches, although accuracy varies substantially by topic. We also propose tools diagnosing cross-domain classification. To illustrate the usefulness of the method, we present two case studies on how electoral rules and the gender of parliamentarians influence the choice of speech topics.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"31 1","pages":"59 - 80"},"PeriodicalIF":5.4,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46636031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning 政党有多民粹主义?用有监督的机器学习测量政党宣言中的民粹主义程度
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-10-15 DOI: 10.1017/pan.2021.29
Jessica Di Cocco, Bernardo Monechi
{"title":"How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning","authors":"Jessica Di Cocco, Bernardo Monechi","doi":"10.1017/pan.2021.29","DOIUrl":"https://doi.org/10.1017/pan.2021.29","url":null,"abstract":"Abstract One of the main challenges in comparative studies on populism concerns its temporal and spatial measurements within and between a large number of parties and countries. Textual analysis has proved useful for these purposes, and automated methods can further improve research in this direction. Here, we propose a method to derive a score of parties’ levels of populism using supervised machine learning to perform textual analysis on national manifestos. We illustrate the advantages of our approach, which allows for measuring populism for a vast number of parties and countries without resource-intensive human-coding processes and provides accurate, updated information for temporal and spatial comparisons of populism. Furthermore, our method allows for obtaining a continuous score of populism, which ensures more fine-grained analyses of the party landscape while reducing the risk of arbitrary classifications. To illustrate the potential contribution of this score, we use it as a proxy for parties’ levels of populism, analyzing average trends in six European countries from the early 2000s for nearly two decades.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"30 1","pages":"311 - 327"},"PeriodicalIF":5.4,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44785250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Adaptive Fuzzy String Matching: How to Merge Datasets with Only One (Messy) Identifying Field 自适应模糊字符串匹配:如何合并只有一个(混乱)识别字段的数据集
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-10-11 DOI: 10.1017/pan.2021.38
A. Kaufman, Aja Klevs
{"title":"Adaptive Fuzzy String Matching: How to Merge Datasets with Only One (Messy) Identifying Field","authors":"A. Kaufman, Aja Klevs","doi":"10.1017/pan.2021.38","DOIUrl":"https://doi.org/10.1017/pan.2021.38","url":null,"abstract":"Abstract A single dataset is rarely sufficient to address a question of substantive interest. Instead, most applied data analysis combines data from multiple sources. Very rarely do two datasets contain the same identifiers with which to merge datasets; fields like name, address, and phone number may be entered incorrectly, missing, or in dissimilar formats. Combining multiple datasets absent a unique identifier that unambiguously connects entries is called the record linkage problem. While recent work has made great progress in the case where there are many possible fields on which to match, the much more uncertain case of only one identifying field remains unsolved: this fuzzy string matching problem, both its own problem and a component of standard record linkage problems, is our focus. We design and validate an algorithmic solution called Adaptive Fuzzy String Matching rooted in adaptive learning, and show that our tool identifies more matches, with higher precision, than existing solutions. Finally, we illustrate its validity and practical value through applications to matching organizations, places, and individuals.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"30 1","pages":"590 - 596"},"PeriodicalIF":5.4,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46252130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
PAN volume 29 issue 4 Cover and Back matter PAN第29卷第4期封面和封底
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-10-01 DOI: 10.1017/pan.2021.35
{"title":"PAN volume 29 issue 4 Cover and Back matter","authors":"","doi":"10.1017/pan.2021.35","DOIUrl":"https://doi.org/10.1017/pan.2021.35","url":null,"abstract":"","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"29 1","pages":"b1 - b2"},"PeriodicalIF":5.4,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42300506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PAN volume 29 issue 4 Cover and Front matter PAN第29卷第4期封面和封面问题
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-10-01 DOI: 10.1017/pan.2021.34
{"title":"PAN volume 29 issue 4 Cover and Front matter","authors":"","doi":"10.1017/pan.2021.34","DOIUrl":"https://doi.org/10.1017/pan.2021.34","url":null,"abstract":"","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"29 1","pages":"f1 - f2"},"PeriodicalIF":5.4,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44321020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures 主题、概念和度量:验证主题作为度量的众包程序
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-09-27 DOI: 10.1017/pan.2021.33
Luwei Ying, J. Montgomery, Brandon M Stewart
{"title":"Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures","authors":"Luwei Ying, J. Montgomery, Brandon M Stewart","doi":"10.1017/pan.2021.33","DOIUrl":"https://doi.org/10.1017/pan.2021.33","url":null,"abstract":"Abstract Topic models, as developed in computer science, are effective tools for exploring and summarizing large document collections. When applied in social science research, however, they are commonly used for measurement, a task that requires careful validation to ensure that the model outputs actually capture the desired concept of interest. In this paper, we review current practices for topic validation in the field and show that extensive model validation is increasingly rare, or at least not systematically reported in papers and appendices. To supplement current practices, we refine an existing crowd-sourcing method by Chang and coauthors for validating topic quality and go on to create new procedures for validating conceptual labels provided by the researcher. We illustrate our method with an analysis of Facebook posts by U.S. Senators and provide software and guidance for researchers wishing to validate their own topic models. While tailored, case-specific validation exercises will always be best, we aim to improve standard practices by providing a general-purpose tool to validate topics as measures.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"30 1","pages":"570 - 589"},"PeriodicalIF":5.4,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42494896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys 争分夺秒:使用响应时间作为自治调查关注度的代理
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-09-15 DOI: 10.1017/pan.2021.32
Blair Read, L. Wolters, Adam J. Berinsky
{"title":"Racing the Clock: Using Response Time as a Proxy for Attentiveness on Self-Administered Surveys","authors":"Blair Read, L. Wolters, Adam J. Berinsky","doi":"10.1017/pan.2021.32","DOIUrl":"https://doi.org/10.1017/pan.2021.32","url":null,"abstract":"Abstract Internet-based surveys have expanded public opinion data collection at the expense of monitoring respondent attentiveness, potentially compromising data quality. Researchers now have to evaluate attentiveness ex-post. We propose a new proxy for attentiveness—response-time attentiveness clustering (RTAC)—that uses dimension reduction and an unsupervised clustering algorithm to leverage variation in response time between respondents and across questions. We advance the literature theoretically arguing that the existing dichotomous classification of respondents as fast or attentive is insufficient and neglects slow and inattentive respondents. We validate our theoretical classification and empirical strategy against commonly used proxies for survey attentiveness. In contrast to other methods for capturing attentiveness, RTAC allows researchers to collect attentiveness data unobtrusively without sacrificing space on the survey instrument.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"30 1","pages":"550 - 569"},"PeriodicalIF":5.4,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48584782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Assessing Data Quality: An Approach and An Application 数据质量评估:一种方法和应用
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-09-15 DOI: 10.1017/pan.2021.27
Kelly M. McMann, Daniel Pemstein, Brigitte Seim, Jan Teorell, Staffan I. Lindberg
{"title":"Assessing Data Quality: An Approach and An Application","authors":"Kelly M. McMann, Daniel Pemstein, Brigitte Seim, Jan Teorell, Staffan I. Lindberg","doi":"10.1017/pan.2021.27","DOIUrl":"https://doi.org/10.1017/pan.2021.27","url":null,"abstract":"Abstract Political scientists routinely face the challenge of assessing the quality (validity and reliability) of measures in order to use them in substantive research. While stand-alone assessment tools exist, researchers rarely combine them comprehensively. Further, while a large literature informs data producers, data consumers lack guidance on how to assess existing measures for use in substantive research. We delineate a three-component practical approach to data quality assessment that integrates complementary multimethod tools to assess: (1) content validity; (2) the validity and reliability of the data generation process; and (3) convergent validity. We apply our quality assessment approach to the corruption measures from the Varieties of Democracy (V-Dem) project, both illustrating our rubric and unearthing several quality advantages and disadvantages of the V-Dem measures, compared to other existing measures of corruption.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"30 1","pages":"426 - 449"},"PeriodicalIF":5.4,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48353508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
What Makes Party Systems Different? A Principal Component Analysis of 17 Advanced Democracies 1970–2013 是什么让政党制度与众不同?1970-2013年17个先进民主国家的主成分分析
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-08-17 DOI: 10.1017/pan.2021.21
Zsuzsanna B. Magyar
{"title":"What Makes Party Systems Different? A Principal Component Analysis of 17 Advanced Democracies 1970–2013","authors":"Zsuzsanna B. Magyar","doi":"10.1017/pan.2021.21","DOIUrl":"https://doi.org/10.1017/pan.2021.21","url":null,"abstract":"Abstract Party systems, that is, the number and the size of all the parties within a country, can vary greatly across countries. I conduct a principal component analysis on a party seat share dataset of 17 advanced democracies from 1970 to 2013 to reduce the dimensionality of the data. I find that the most important dimensions that differentiate party systems are: “the size of the biggest two parties” and the level of “competition between the two biggest parties.” I use the results to compare the changes in electoral and legislative party systems. I also juxtapose the results to previous party system typologies and party system size measures. I find that typologies sort countries into categories based on variation along both dimensions. On the other hand, most of the current political science literature use measures (e.g., the effective number of parties) that are correlated with the first dimension. I suggest that instead of these, indices that measure the opposition structure and competition could be used to explore problems pertaining to the competitiveness of the party systems.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"30 1","pages":"250 - 268"},"PeriodicalIF":5.4,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49552043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Relatio: Text Semantics Capture Political and Economic Narratives 关系:文本语义捕捉政治和经济叙事
IF 5.4 2区 社会学
Political Analysis Pub Date : 2021-08-03 DOI: 10.1017/pan.2023.8
Elliott Ash, G. Gauthier, Philine Widmer
{"title":"Relatio: Text Semantics Capture Political and Economic Narratives","authors":"Elliott Ash, G. Gauthier, Philine Widmer","doi":"10.1017/pan.2023.8","DOIUrl":"https://doi.org/10.1017/pan.2023.8","url":null,"abstract":"\u0000 Social scientists have become increasingly interested in how narratives—the stories in fiction, politics, and life—shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent narrative structures in text documents. Our new software package relatio identifies coherent entity groups and maps explicit relations between them in the text. We provide an application to the U.S. Congressional Record to analyze political and economic narratives in recent decades. Our analysis highlights the dynamics, sentiment, polarization, and interconnectedness of narratives in political discourse.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":" ","pages":""},"PeriodicalIF":5.4,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47460073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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