Symptoms of PTSD in Frontline Journalists: A Retrospective Examination of 18 Years of War and Conflict
Bibliographic record
Abstract
OBJECTIVE: The objective of the current study was to determine the frequency and severity of symptoms of posttraumatic stress disorder (PTSD) in journalists covering conflict. METHODS: PTSD data (Impact of Event Scale-Revised) collected over an 18-year period from 684 conflict journalists were analyzed retrospectively for frequency and severity of reexperiencing, avoidance, and arousal symptoms. Conflicts covered were civil wars in the Balkans ( n = 140 journalists), 9/11 attack in New York City ( n = 46), Iraq war ( n = 84), Mexico drug wars ( n = 104), civil war in Syria ( n = 59), Kenya election violence/Al-Shabab terror ( n = 57), state-sanctioned media intimidation in Iran ( n = 114), and the current migration crisis in Europe ( n = 80). RESULTS: The mean age of the sample was 38.59 (SD = 8.35) years, 461 (67%) journalists were men, and the mean duration of conflict work was 13.42 (SD = 7.74) years. The 5 most frequently endorsed symptoms were in the reexperiencing/intrusion category. Mean intrusion (1.31, SD = 0.97), avoidance (1.08, SD = 0.89), and arousal (1.07, SD = 0.96) scores for the entire sample were in the mild range. Being female and less educated independently predicted PTSD symptoms. CONCLUSIONS: PTSD phenomenology in a group of conflict journalists with well over a decade of frontline experience is dominated by reexperiencing symptoms. While symptom severity is for the most part mild, group means can obscure those individuals with significantly more severe difficulties.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".