Understanding the sources of anti-Americanism in the Russian elite
Bibliographic Data
| ID | 6358249 |
|---|---|
| Authors | Sharon Werning Rivera (0000-0003-1092-8665, Hamilton College, corresponding author), James D Bryan (0000-0001-9018-4701, School of International Service, American University, Washington, DC, USA) |
| Year | 2019 |
| Volume | 35 |
| Issue | 5-6 |
| Pages | 376-392 |
| Publication date | 2019-11-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Post-Soviet Affairs (JOURNAL) |
| Journal identifiers | ISSN: 1060-586X • E-ISSN: 1938-2855 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1060586x.2019.1662194 |
| OpenAlex | W2980767972 |
| Language | EN |
| Citations received | 11 |
| References cited | 38 |
This paper applies the model of opinion formation developed by John Zaller to the study of anti-American attitudes in the Russian elite. It examines the relative weight of political predispositions (interests, values, and experiences) versus immediately accessible “considerations” that depend on the flow of information in elite discourse. Based on survey data from 1995–2016, we find that two key political predispositions (identification as a Westernizer or Slavophile and service in the military and security agencies) are highly significant in the Yel’tsin period, when debates about Western intentions toward Russia were robust and the Kremlin’s messaging was diverse. By contrast, anti-American sentiment in the elite has become more uniform in the Putin era, which we attribute to an increasingly fervent anti-American narrative on state-controlled television. In a period of clear and unequivocal messaging emanating from Kremlin-controlled media, these signals have surpassed civilizational identity and service in the force structures in importance
Aesthetics · Economics · Economy · Elite · Identity (music · Literature · Media studies · Narrative · Period (music · Political economy · Political science · Politics · Service (business · Sociology · State (computer science · Computer Science · Electoral Systems and Political Participation · Law · Political Influence and Corporate Strategies · Social Media and Politics
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,2 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 11 |