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Record W6981497962

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

2018· article· W6981497962 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2018
Typearticle
Language
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsViolent extremismGovernment (linguistics)Qualitative analysisQualitative researchSocial media
DOInot available

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.006
Scholarly communication0.0000.005
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.035
GPT teacher head0.237
Teacher spread0.202 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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