The Paradox of Source Credibility in Canadian and U.S. Domestic Counterterrorism Communications
Bibliographic record
Abstract
This article examines the interface of rhetorical theories of credibility and the domestic counterterrorism communications of government and nongovernment actors in Canada and the United States. We track evolving attempts to controvert terrorists’ propaganda through official and unofficial channels. Each country has a comprehensive counterterrorism strategy that employs both deterrence and “soft” approaches, such as diplomacy and engagement. Our focus is the latter. First, we discuss how governments undertook counterterrorism communications following September 2001. Second, we explore attempts to engage credible voices outside of government, such as former violent extremists and religious leaders, in the fight against terrorism. We conclude that although counterterrorism messaging must negotiate the challenge of source credibility, further examination of elements such as context, audience reception, and digital engagement is needed to refine domestic campaigns launched by government and civil society actors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".