Narrow Islamophobia measures can model elite speech effects on hate crime

Evidence

Many scholars will be interested in the causes and effects of Islamophobia on a much smaller scale. They will need narrower measures of Islamophobia to isolate its precise relation to other variables they are investigating. Drawing on precedents from cognates to Islamophobia, one study has demonstrated a causal connection between news coverage of immigrants and anti-immigration attitudes (Boomgaarden & Vliegenthart, 2009). Another has correlated extreme right and racist violence with the role of political elites (Koopmans, 1996). It is easy to imagine a parallel research project examining the effect of far right party leaders’ Islamophobic statements on anti-Muslim hate crime. — Erik Bleich, What Is Islamophobia and How Much Is…, 65

Categorization

• SEED: A natural research design for the reader: operationalizing Bleich’s concept via specific measurable indicators (elite speech, hate crime) — a concrete how-to that contrasts with the abstract political-philosophical framing of the rival camps.
• XREF: connects to: Recorded anti-Muslim hate crime hit all-time highs while under-reporting persists — Runnymede Trust (ed. Farah Elahi & Omar Khan), Islamophobia: Still a Challenge for Us…, 33; Measuring Islamophobia demands indicators that connect to an abstract concept — Erik Bleich, What Is Islamophobia and How Much Is…, 44; Measurable Islamophobia enables causal analysis of ethnoracial hierarchy change — Erik Bleich, What Is Islamophobia and How Much Is…, 62 (+3 more)

Related

• Measurable Islamophobia enables causal analysis of ethnoracial hierarchy change (similarity 0.86)
• Measuring Islamophobia demands indicators that connect to an abstract concept (similarity 0.86)
• Islamophobia is measurable but requires seeking direct indicators (similarity 0.85)
• Measurable Islamophobia enables causal analysis across macro and micro levels (similarity 0.84)
• Indicators of Islamophobia vary widely in how directly they reflect underlying attitudes (similarity 0.84)
• Accurate Islamophobia measurement should guide resource allocation across prejudice causes (similarity 0.83)
• Public recorded speech offers systematic noncausal indicators of Islamophobia (similarity 0.83)
• Precise definitions of Islamophobia enable systematic cross-time and cross-group comparisons. (similarity 0.83)
• Measuring Islamophobia requires reliable indicators rather than anecdotal evidence. (similarity 0.83)
• Unsolicited public statements can directly measure Islamophobia’s prevalence and nature. (similarity 0.83)
• Defining Islamophobia matters only insofar as it enables systematic comparison. (similarity 0.82)
• Divergent starting points block aggregation of Islamophobia findings (similarity 0.82)
• Islamophobia debates operate at distinct levels of definition, cause, and effect (similarity 0.82)
• Islamophobic hate crimes spike in the wake of terrorist attacks. (similarity 0.82)
• Most existing Islamophobia evidence relies on indirect, anecdotal, or group-conflating measures (similarity 0.81)

Broader Connections

• Measurable Islamophobia enables causal analysis across macro and micro levels #expands (0.85) — Erik Bleich, What Is Islamophobia and How Much Is…, 62