Engaging English Speaking Facebook Users in an Anti-ISIS Awareness Campaign
Bibliographic record
Abstract
This article reports on The International Center for Study of Violent Extremism (ICSVE’s) small-scale Facebook ad awareness campaigns ran between December 7, 2017 and December 31, 2017 in the United States, UK, Canada, and Australia. Two ICSVE-produced videos were used, namely The Promises of ad-Dawlah to Women, featuring the testimony of a Belgian female ISIS defector, and Today is the Female Slave Market in ad-Dawlah, featuring a Syrian male ISIS defector who witnessed the sexual enslavement of women by ISIS. The purpose of the campaign was to reach as many English-speaking individuals in U.S., UK, Canada, and Australia to drive engagement with the ICSVE-produced videos as well raise awareness about the dangers of joining or considering joining a violent extremist group like ISIS. The ad generated a reach of over 1 million and almost 604K video views. In addition to important engagement and awareness metrics, the qualitative impact analysis of generated comments was promising in terms of initiating important discussions on the dangers emanating from violent extremist groups like ISIS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".