"A Comparative Analysis of the Framing of Terrorism in Online News Under the George W. Bush and Barack H. Obama Administrations: from Clash to Dialogue?"
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: The significant and reciprocal link between Terrorism and News Media reportage was identified in the 1990s by the convergence of security and media studies (Picard, 1993). Working in the tradition of content analysis early studies examined the way Terrorism was framed in major news accounts with implications for the Huntington-Fukuyama hypothesis (Nacos, 2002). However these early studies mainly pre-dated both the War on Terror and the rise of the Internet as a major (political) news source. This paper reinvigorates this early framing research on Terrorism by examining key frames over time in online news media via software-assisted media mapping. Key frames identified in the 1990s are examined in the online news environment under the George W. Bush administration (2005) and the current Barak Hussein Obama administration (2009). The resulting news mapping allows for a comparative analysis of the way frames, such as "insurgent" have changed (if at all) over time in the most significant stories freely available online. The comparison contributes to understanding of the potential for a shift from the rhetoric of a "clash of civilizations" towards discourse networks of the "dignity of difference" by rendering visible shifts in frames associated with Terrorism that arguably are necessary for the advancement of the new paradigm.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it