Analyzing Conflict Patterns among Legislators with Automated Text Analysis: Cases of Environmental and Labor Committee and Health and Welfare Committee of the 17-20th National Assembly of Korea

2021 ◽  
Vol 20 (1) ◽  
pp. 5-42
Author(s):  
Inhwan Ko ◽  
Haye Choi ◽  
Sinjae Kang
Keyword(s):  
Text Analysis ◽  
National Assembly ◽  
Automated Text Analysis

China's Newsmakers: Official Media Coverage and Political Shifts in the Xi Jinping Era

2017 ◽  
Vol 233 ◽  
pp. 111-136 ◽  
Author(s):  
Kyle Jaros ◽  
Jennifer Pan
Keyword(s):  
Text Analysis ◽  
Media Coverage ◽  
Past Research ◽  
Early Years ◽  
Xi Jinping ◽  
Political Actors ◽  
Party Organizations ◽  
Automated Text Analysis ◽  
The Media ◽  
Party Dominance

AbstractXi Jinping's rise to power in late 2012 brought immediate political realignments in China, but the extent of these shifts has remained unclear. In this paper, we evaluate whether the perceived changes associated with Xi Jinping's ascent – increased personalization of power, centralization of authority, Party dominance and anti-Western sentiment – were reflected in the content of provincial-level official media. As past research makes clear, media in China have strong signalling functions, and media coverage patterns can reveal which actors are up and down in politics. Applying innovations in automated text analysis to nearly two million newspaper articles published between 2011 and 2014, we identify and tabulate the individuals and organizations appearing in official media coverage in order to help characterize political shifts in the early years of Xi Jinping's leadership. We find substantively mixed and regionally varied trends in the media coverage of political actors, qualifying the prevailing picture of China's “new normal.” Provincial media coverage reflects increases in the personalization and centralization of political authority, but we find a drop in the media profile of Party organizations and see uneven declines in the media profile of foreign actors. More generally, we highlight marked variation across provinces in coverage trends.

Summaries

2018 ◽  
Vol 46 (1) ◽  
Keyword(s):  
Machine Learning ◽  
Content Analysis ◽  
Text Analysis ◽  
English Language ◽  
Automated Analysis ◽  
Supervised Machine Learning ◽  
Automated Text Analysis ◽  
Research Problems ◽  
Dutch Language ◽  
Automated Methods

Damian Trilling & Jelle Boumans Automated analysis of Dutch language-based texts. An overview and research agenda While automated methods of content analysis are increasingly popular in today’s communication research, these methods have hardly been adopted by communication scholars studying texts in Dutch. This essay offers an overview of the possibilities and current limitations of automated text analysis approaches in the context of the Dutch language. Particularly in dictionary-based approaches, research is far less prolific as research on the English language. We divide the most common types of content-analytical research questions into three categories: 1) research problems for which automated methods ought to be used, 2) research problems for which automated methods could be used, and 3) research problems for which automated methods (currently) cannot be used. Finally, we give suggestions for the advancement of automated text analysis approaches for Dutch texts. Keywords: automated content analysis, Dutch, dictionaries, supervised machine learning, unsupervised machine learning

scholarly journals The Methodological Divide of Sociology: Evidence from Two Decades of Journal Publications

Sociology ◽  
2019 ◽  
Vol 54 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Carsten Schwemmer ◽  
Oliver Wieczorek
Keyword(s):  
Text Analysis ◽  
Quantitative Research ◽  
Time Trend ◽  
Past Research ◽  
Sociological Research ◽  
Scientific Practices ◽  
Research Topics ◽  
Quantitative Research Methods ◽  
Methodological Choices ◽  
Automated Text Analysis

Past research indicates that Sociology is a low-consensus discipline, where different schools of thought have distinct expectations about suitable scientific practices. This division of Sociology into different subfields is to a large extent related to methodology and choices between qualitative or quantitative research methods. Relying on theoretical constructs of the academic prestige economy, boundary demarcation and taste for research, we examine the methodological divide in generalist Sociology journals. Using automated text analysis for 8737 abstracts of articles published between 1995 and 2017, we discover evidence of this divide, but also of an entanglement between methodological choices and different research topics. Moreover, our results suggest a marginally increasing time trend for the publication of quantitative research in generalist journals. We discuss how this consolidation of methodological practices could enforce the entrenchment of different schools of thought, which ultimately reduces the potential for innovative and effective sociological research.

Killing in the Slums: Social Order, Criminal Governance, and Police Violence in Rio de Janeiro

2020 ◽  
Vol 114 (2) ◽  
pp. 552-572 ◽  
Author(s):  
BEATRIZ MAGALONI ◽  
EDGAR FRANCO-VIVANCO ◽  
VANESSA MELO
Keyword(s):  
Qualitative Research ◽  
Text Analysis ◽  
Social Order ◽  
Police Violence ◽  
Multimethod Research ◽  
Criminal Organizations ◽  
Automated Text Analysis ◽  
Quasi Experimental ◽  
Criminal Groups ◽  
State Interventions

State interventions against organized criminal groups (OCGs) sometimes work to improve security, but often exacerbate violence. To understand why, this article offers a theory about criminal governance in five types of criminal regimes—Insurgent, Bandit, Symbiotic, Predatory, and Split. These differ according to whether criminal groups confront or collude with state actors, abuse or cooperate with the community, and hold a monopoly or contest territory with rival OCGs. Police interventions in these criminal regimes pose different challenges and are associated with markedly different local security outcomes. We provide evidence of this theory by using a multimethod research design combining quasi-experimental statistical analyses, automated text analysis, extensive qualitative research, and a large-N survey in the context of Rio de Janeiro’s “Pacifying Police Units” (UPPs), which sought to reclaim control of the favelas from criminal organizations.

scholarly journals Analyzing Text Complexity in Political Science Research

2014 ◽  
Vol 47 (03) ◽  
pp. 663-666 ◽  
Author(s):  
Damon M. Cann ◽  
Greg Goelzhauser ◽  
Kaylee Johnson
Keyword(s):  
Political Science ◽  
Text Analysis ◽  
Science Research ◽  
Text Complexity ◽  
Automated Text Analysis ◽  
Science Article

ABSTRACTThis article analyzes the text complexity of political science research. Using automated text analysis, we examine the text complexity of a sample of articles from three leading generalist journals and four leading subfield journals. We also examine changes in text complexity across time by analyzing a sample of articles from the discipline’s flagship journal during a 100-year span. Although it is not surprising that a typical political science article is difficult to read, it is accessible to intelligent lay readers. We found little difference in text complexity across time or subfield.

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