Previous Course Content


Instructional materials from Knight Center MOOCs are now available after courses close. All modules, including videos, presentations and reading materials, will be available online to consult at any time.


Navigating Misinformation: How to identify and verify what you see on the web

Instructor: Claire Wardle

Instructor's Assistant: Aimee Rinehart

In this course, you will learn how to identify and verify online content, and learn about responsible reporting in an age of disinformation. These skills will be relevant whether you’re working in a newsroom or are simply a conscientious digital citizen.

You can access the resource page here.

Mobile Journalism: How to use your phone to produce great videos and build a social audience

Instructors: Yusuf Omar

This course provides an introduction to social videos creation, both for and by mobile devices. It will help students understand the latest innovations at the intersection of technology, media and people. On completion of the course, each student will produce a journalistic video that will be shared across social media platforms. Students in this course will have a good grounding to tackle the challenges of a global, social and mobile world in 2019.

You can access the resource page here.

News Algorithms: The Impact of Automation and AI on Journalism

Instrutor: Nicholas Diakopoulos

For this course, we’re going to peel back the mystery around algorithms and AI so you gain a greater appreciation for these technologies can and can’t do for news production and journalism. You’ll come away from the course with the knowledge you need to think more strategically, creatively, and responsibly about the adoption of these technologies in your practice.

You can access the resource page here.


Como cobrir Inteligência Artificial e entender seu impacto no jornalismo

Instrutor: Guilherme Jardim

Esta página de recursos apresenta conteúdo do MOOC “Como cobrir Inteligência Artificial e entender seu impacto no jornalismo”, oferecido pelo Centro Knight para o Jornalismo nas Américas em parceria com a Microsoft. Este curso massivo em português de quatro semanas aconteceu de 19 de novembro a 16 de dezembro de 2018. Agora, disponibilizamos o conteúdo gratuitamente para os alunos que fizeram o curso e para qualquer pessoa interessada em inteligência artificial (IA) e seu impacto na indústria de notícias.

Você pode acessar a página de recursos aquí.


Inteligencia Artificial: Cómo cubrir IA y entender su impacto en el periodismo

Instructora: Sandra Crucianelli

Esta página de recursos presenta el contenido del curso masivo, abierto y en línea (MOOC, por sus siglas en inglés) del Centro Knight para el Periodismo en las Américas titulado “Inteligencia Artificial: Cómo cubrir IA y entender su impacto en el periodismo”. El curso de cinco semanas se llevó a cabo del 22 de octubre al 25 de noviembre de 2018. Este fue un curso gratuito y abierto a cualquier persona en cualquier parte del mundo con interés en familiarizarse con las tecnologías de la inteligencia artificial, hacia dónde se dirige y su relación con el periodismo.

Puede acceder a la página de recursos aquí.


Como desbancar as "fake news" e nunca mais chamá-las por esse nome

Instrutores: Angela Pimenta, Fábio Gusmão, Bárbara Libório e Pedro Burgos

Esta página de recursos apresenta conteúdo do MOOC “Como desbancar "fake news" e nunca mais chamá-las por esse nome”, realizado pelo Centro Knight para o Jornalismo em parceria com a Associação Nacional dos Jornais e apoio da Google News Initiative. Este curso massivo em português de quatro semanas aconteceu de 5 de agosto a 2 de setembro de 2018. Agora, disponibilizamos o conteúdo gratuitamente para os alunos que fizeram o curso e para qualquer pessoa interessada em aprender as etapas do trabalho de checagem e verificação, como desbancar sites e notícias fabricadas, memes e vídeos manipulados que surgem nas redes.

Você pode acessar a página de recursos aqui.


Intro to Mapping and GIS for Journalists

Instructors: Darla Cameron and Chris Essig

In this course, you will learn the basics of telling stories with geographic data. We’ll share geographic concepts and best practices from a journalist’s perspective, including what types of datasets make good maps. Then, we’ll dive into practical skills — how to use free GIS (Geographic Information System) software to explore, analyze and visualize data. We’ll include links, tips and tricks for taking your geographic data skills to the next level.

You can access the resource page here.


Listen up! How to launch and grow a hit podcast

Instructors: Caitlin Thompson, Tobin Low, Rose Eveleth, Jacob Kramer-Duffield, and Jennifer Barish

In this course, you will learn what the larger podcast landscape looks like and how it came to be, understand the process of developing an idea from a kernel to something that could possibly win a pitch fest or accelerator from someone who’s done it, get an introduction to audio editing software, learn how to reach and engage an audience, and then how to think about making money off of your idea.

You can access the resource page here.


Como cobrir eleições sem errar: Dados e pesquisas para entender o eleitor

Instrutores: José Roberto de Toledo, Keila Guimarães, Claudio Weber Abramo e Daniel Bramatti

O curso foi planejado como um programa de treinamento para jornalistas, professores e estudantes de jornalismo, mas é gratuito e aberto a qualquer pessoa interessada em aprender a trabalhar com dados e pesquisas eleitorais. Você não precisa ter nenhuma experiência anterior com os conceitos, ferramentas e recursos relacionados ao tema.

Você pode acessar a página de recursos aqui.




Intro to R for Journalists: How to Find Great Stories in Data

Instructor: Andrew Ba Tran

In this course, you will learn how to use the statistical computing and graphics language R to enhance your data analysis and reporting process. You’re going to dive right into dealing with the messy and disparate types of data that journalists regularly encounter. You’ll get an introduction to packages that will help you wrangle data efficiently and effectively. You’ll learn how to create visualizations that will communicate what you’ve discovered in your data with charts and maps. Finally, you’ll learn how to turn your analyses into notebooks that can be shared with others in your newsroom and hopefully eventually published online for reproducibility.

You can access the resource page here.






Data Visualization for Storytelling and Discovery

Instructor: Alberto Cairo

In this course you will learn how to use visualization to discover trends and patterns in data, and also how to communicate with graphs, charts, and maps, both static and interactive. Alberto Cairo will teach you elementary principles of visualization design and visual narrative, and also how to apply them with free tools like INZight and Flourish.

You can access the resource page here.






Trust and verification in an age of misinformation

Instructor: Craig Silverman

In this course you will learn how journalists traditionally build trust with an audience, how today’s media environment changes the mechanics of trust and attention, and how to verify online content and forge trust with digital audiences.

You can access the resource page here.