Method:
This site engages with one of the datasets from the Mapping Islamophobia Project—the Humanizing Public Life dataset—which have high editorial standards. Each entry contains the source from which the information came. The Humanizing Public Life dataset, for instance, uses reports from newspapers with clear editorial oversight, using searchable newspaper databases, such as US Newstream or via news alerts from civil rights organizations and Google. To supplement the dataset, the project also draws from field work I conducted in the summer of 2018, where I outreach events, talked with attendees, and conducted in-depth interviews with the speakers
Data:
You may download both of our datasets (in .csv format) below. We update the downloadable datasets periodically.
In the “Islamophobia Dataset,” each item includes a date, geolocation and state, an event short name, an event description, a source, and is coded in two ways: (1) an Event Class [using one of six designations, “crimes against people,” “crimes against property,” “public speech,” “public campaigns (targeting community),” bias-related incidents (targeting individual or specific group),” and “legislation (targeting community)”] and (2) Gender of Victim(s). We decided to code incidents and events affecting American Muslim communities in general, as opposed to an individual or group of individuals, “male and female.”
In the “Countering Islamophobia” dataset, each item includes a date, geolocation, an event short name, an event description, a source, and is coded with one of the following categories: “political outreach,” political activity,” “community outreach,” mosque open house,” “interfaith efforts,” and “ask a Muslim.”
