The Centrality of Anti-Semitism in the Islamic State’s Ideology and Its Connection to Anti-Shiism
Bibliographic record
Abstract
The Islamic State (ISIS) has repeatedly targeted Jews in terrorist attacks and incited against Jews in its propaganda. Anti-Semitism and the belief that Jews are engaged in a war against Islam has been central to Islamist thought since its inception. Islamist anti-Semitism exposes the influence of both Western conspiracy theories and Islamic traditions. This article studies the anti-Semitic themes propagated by ISIS and investigates their ideological foundations. It bases itself on an analysis of articles published in Dabiq, ISIS’ English language online magazine in the period 2014–2016. This study shows that ISIS’ relationship with Western-inspired anti-Semitic conspiracy theories is inconsistent, vacillating between rejection and acceptance. ISIS holds an apocalyptic, anti-Semitic worldview, which claims that the Shia denomination is a Jewish invention to sow disunity among Muslims and that Shia and Jews are working together to destroy Islam. ISIS’ anti-Semitism and anti-Shiism are thus inherently connected. It is vital to correctly assess the anti-Semitic ideological foundations of contemporary Islamism and Jihadism to best understand the movement. Learning about this will help lawmakers, scholars and practitioners develop strategies to deal with these movements and counter their message.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".