Framing anti-Americanism in Turkey: An empirical comparison of domestic and international media
Bibliographic record
Abstract
Anti-Americanism is a growing tendency among people in Turkey, and the media is one source of this negative sentiment. After the failed military coup attempt in Turkey on 15 July 2016, more than 150 domestic media outlets were shut down, including television channels, daily newspapers, radio stations, news websites, and even social media. Local affiliates of international media companies such as Deutsche Welle Turkish, however, have remained immune to such government interventions to some extent. Considering the difference in the level of independence from Turkish government influence, this study aims to explore how the anti-American sentiment in the news varied across different media outlets. With the content of 690 online news reports, a sentiment analysis compared the pro-government Sabah and Yeni Şafak daily newspapers with two internationally owned and more independent media outlets, BBC News Turkish and Deutsche Welle. The results showed a significant discrepancy between the two groups in terms of how they framed news related to the United States. The domestic media framed and reported the US-related news with a more negative slant, including the use of offensive and pejorative narratives about the United States and its politics. BBC Turkish and Deutsche Welle, however, reported news about the United States with a relatively more neutral and objective language.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".