Computational approaches to mapping interest group representation
A test and discussion of different methods
Datos Bibliográficos
| ID | 13010101 |
|---|---|
| Autores | Ellis Aizenberg (0000-0001-5311-5635, Amsterdam University of the Arts, autor de correspondencia), Anne Skorkjær Binderkrantz (0000-0002-5059-0251, Aarhus University) |
| Año | 2021 |
| Volumen | 10 |
| Número | 2 |
| Páginas | 181-192 |
| Fecha de publicación | 2021-05-20 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Interest Groups & Advocacy (JOURNAL) |
| Identificadores de la revista | ISSN: 2047-7414 • E-ISSN: 2047-7422 |
| Editorial | Palgrave Macmillan (PUBLISHER • GB) |
| DOI | 10.1057/s41309-021-00121-4 |
| OpenAlex | W3165217607 |
| Idioma | EN |
| Citas recibidas | 4 |
| Referencias citadas | 21 |
Studying patterns of interest representation in politics is a central concern of scholars working on interest groups and lobbying. However, systematic empirical analysis of interest group representation entails a large amount of coding and is potentially prone to error. This letter addresses the potential of two computational methods in enabling large-scale analyses of interest group representation. We discuss the trade-offs associated with each method and empirically compare a manual, a query-based, and an off-the-shelf supervised machine learning approach to identify interest groups in a sample of 3000 news stories. Our results demonstrate the potential of automated methods, especially when used in combination
Coding (social sciences · Group (periodic table · Interest group · Machine learning · Political science · Politics · Representation (politics · Statistics · Computational and Text Analysis Methods · Computer Science · Electoral Systems and Political Participation · Mathematics · Political Influence and Corporate Strategies · Artificial Intelligence
Automated estimates of state interest group lobbying populations
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Time is of the Essence
Estimating Interest Groups’ Policy Positions Through Content Analysis
The promises of quantitative text analysis in interest group research
Sources in the News
The Myth of the Outside Strategy
Balanced or Biased? Interest Groups and Legislative Lobbying in the European News Media
Look Who's Talking
Making Inference across Mobilisation and Influence Research
Text as Data
Assessing the prominence of interest groups in parliament
Images of an Unbiased Interest System
Signaling expertise through the media? Measuring the appearance of corporations in political news through a complexity lens
Interest Group Access to the Bureaucracy, Parliament, and the Media
The Captive or the Broker? Explaining Public Agency–Interest Group Interactions
Interest groups in the media
The Heavenly Chorus
Diversity in the News? A Study of Interest Groups in the Media in the UK, Spain and Denmark
A survey of named entity recognition and classification
| Obras citantes distintas | 4 |
|---|---|
| Citas por año | 1,33 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |