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Record W2902757332 · doi:10.5038/1944-0472.11.3.1679

Engaging English Speaking Facebook Users in an Anti-ISIS Awareness Campaign

2018· article· en· W2902757332 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Strategic Security · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsViolent extremismPolitical scienceMedia studiesAdvertisingCriminologyPublic relationsPsychologySociologyLawTerrorismBusiness

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.370
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it