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Old Questions, New Techniques

A Research Note on the Computational Identification of Political Elites

Bibliographic Data

ID7987329
AuthorsJ Hicks (0000-0001-8055-2582, Royal Netherlands Institute of Southeast Asian and Caribbean Studies), Vincent Traag (0000-0003-3170-3879, Royal Netherlands Institute of Southeast Asian and Caribbean Studies), Ridho Reinanda (Royal Netherlands Institute of Southeast Asian and Caribbean Studies)
Year2015
Volume14
Issue3
Pages386-401
Publication date2015-08-11
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueComparative Sociology (JOURNAL)
Journal identifiersISSN: 1569-1322 • E-ISSN: 1569-1330
PublisherBrill (PUBLISHER • NL)
DOI10.1163/15691330-12341347
OpenAlexW1415116119
LanguageEN
Citations received4
References cited21

This paper presents a new method of identifying a nation’s political elite using computational techniques on digitised newspaper articles. It begins by describing the three most widely used methods of identifying political elites: positional, decisional and reputational. It then introduces the “reported elite method”, exploring the kinds of elites it detects and how well it reflects the composition of political elites in our case study of Indonesia. Compared to the other existing methods, we find that our method casts a much wider net when searching for political elites, resulting in many more people from civil society, far fewer formal politicians, and challenging conventional notions of who is a political elite. The method has two major underlying assumptions: (1) the newspapers from which the texts are drawn are free and fairly representative and (2) political power can be inferred from frequent appearance in newspapers alongside other frequently appearing individuals in computational “communities” of political elite

Elite · Identification (biology · Newspaper · Political economy · Political science · Politics · Power (physics · Sociology · Asian Studies and History · Computational and Text Analysis Methods · Law · Social Media and Politics

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Unique citing works4
Citations per year0,44
Citation span2017 - 2025 (9)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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