You can find the self-directed course at: journalismcourses.org/course/2020dataethics
Above, Heather Krause lays out 7 steps to making your data journalism more equitable and ethical.
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Equity & ethics in data journalism: Hands-on approaches to getting your data right
This resource page features course content from the Knight Center for Journalism in the America‘s massive open online course (MOOC) titled “Equity & ethics in data journalism: Hands-on approaches to getting your data right.” The four-week course took place from June 22 - July 19, 2020. We are now making the content free and available to students who took the course and anyone else who’s interested in practical and conceptual foundations of embedding equity and ethics in data journalism stories.
The course was taught by Heather Krause. She created and curated the content for the course, which includes video classes, readings, exercises, and more.
The course materials are broken up into five modules:
Intro Module: Introduction to the course and the outline of topics
Module 1: Essential concepts in equity and ethics for data journalism
Module 2: Gathering and collecting data for your data story
Module 3: Analyzing data for your data story
Module 4: Visualizing and communicating data for your data story
We encourage you to watch the videos, review the readings, and complete the exercises as time allows. The course materials build off each other, but the videos and readings also act as standalone resources that you can return to overtime.
We hope you enjoy the materials. If you have any questions, please contact us at journalismcourses@austin.utexas.edu.
#JournalismCourses #SelfDirectedCourses #DataJournalism
