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Cited by 313

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Personalization of Politics A Critical Review and Agenda for Research

Adam, Silke, Maier, Michaela·2010·Annals of the International Communication Association

Abstract

In this chapter we develop an agenda for future research on the personalization of politics. To do so, we clarify the propositions of the personalization hypothesis, critically discuss the normative standard on which most studies base their evaluation of personalization, and systematically summarize empirical research findings. We show that the condemnation of personalization is based on a trivial logic and on a maximalist definition of democracy. The review of empirical studies leads us to question the assumption that personalization has steadily increased in all areas of politics. Finally, our normative considerations help us develop new research questions on how personalized politics affects democracy. Moreover, this review also makes clear that another weakness of today’s empirical research on the personalization of politics lies in methodological problems and a lack of analysis of the impacts of systemic and contextual variables. Consequently, we suggest methodological pathways and possible explanatory factors for the study of personalization.

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Metadata

Authors
Adam, S., & Maier, M.
Venue
Annals of the International Communication Association
Published
2010-01
Volume
34
Issue
1
Pages
213-257
ISSN
  • 2380-8977 (ISSN-L)
  • 2380-8985
OpenAlex
W2504896247
Cited by
313
References
75
FWCI
37.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Personalization of Politics A Critical Review and Agenda for Research. https://app.cochat.ai/papers/10.1080/23808985.2010.11679101
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Adam, S., & Maier, M. (2010). Personalization of Politics A Critical Review and Agenda for Research. Annals of the International Communication Association. https://doi.org/10.1080/23808985.2010.11679101

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.