# data[].attributes.body
Mike Caulfield demonstrates how to use Google Image Search and "Tin Eye" to find the original context of a photo. (4:13)

# data[].attributes.body
Professional fact-checkers discuss methods of image verification. CIVIX News Literacy, 2018 (2:39)

# data[].attributes.attachment_link.title
Fact-Checking Tools — Video 1: Verifying Images and Videos

# data[].attributes.body
A quick demo of how Google's reverse image search tool can be used to fact-check and research images. Common Sense Education. (2:20)

# data[].attributes.attachment_link.title
How to Use Google Reverse Image Search to Fact Check Images

# data[].attributes.body
Professional fact-checkers describe how to authenticate the actual source of a website. CIVIX News Literacy, 2018 (3:25)

# data[].attributes.attachment_link.title
Fact-Checking Tools — Video 2: Looking up Claims and Website Owners

# data[].attributes.body
A reverse image search can tell you if a photo has been altered or used out of context. Here's how to do it..  CIVIX News Literacy,  2019. (1:30)

# data[].attributes.headline
"Seeing Isn't Believing: a Fact-Checker's Guide"

# data[].attributes.subject
"Seeing Isn't Believing: a Fact-Checker's Guide"

# data[].attributes.body
Provides examples of three manipulated video types: Missing Context, Deceptive Editing, Malicious Transformation. (plays without narration) Wash Post,  2019.

# data[].attributes.attachment_link.readable_text
The Fact Checker's guide to manipulated video

The Internet is increasingly populated with false and misleading videos. These videos - spread by politicians, advocacy groups and everyday users - are viewed by millions. The Fact Checker set out to develop a universal language to label manipulated video and hold creators and sharers of this misinformation accountable. We have found three main ways video is being altered: footage taken out of context, deceptively edited or deliberately altered. These categories are further broken down into subcategories, which are shown below.

Misrepresentation

Missing

Context

Isolation

Omission

Deceptive

Editing

Splicing

Doctoring

Malicious

Transformation

Fabrication

Deceptive

Editing

Malicious

Transformation

Missing

Context

Misrepresentation

Isolation

Omission

Splicing

Doctoring

Fabrication

Missing

Context

Deceptive

Editing

Malicious

Transformation

Misrepresentation

Isolation

Omission

Splicing

Doctoring

Fabrication

This guide is intended to help all of us navigate this new information landscape and start a necessary conversation.

The videos in this presentation play without sound.

Warning: This graphic requires JavaScript. Please enable JavaScript for the best experience.

Thank you for subscribing

About this story

Reporting

Design and development

Madison Walls

Animation

Atthar Mirza

Videos

Sarah Cahlan

Editor

Phoebe Connelly

# data[].attributes.attachment_link.title
The Washington Post's guide to manipulated video

# data[].attributes.attachment_link.description
The Fact Checker's guide to manipulated video The Internet is increasingly populated with false and misleading videos. These videos - spread by politicians, advocacy groups and everyday users - are viewed by millions. The Fact Checker set out to develop a universal language to label manipulated video and hold creators and sharers of this misinformation accountable.

# data[].attributes.body
Describes how the content we receive online is filtered through providers seeking advertising revenue, and the implications that has for society. News Literacy, 2018  (3:38)

# data[].attributes.attachment_link.title
Behind the Screens: Who decides what I see online?

# data[].attributes.body
Produced by professional fact-checkers with NewsWise (Project of CIVIX & the Canadian Journalism Foundation) 2018.  (3:25)

# data[].attributes.attachment_link.title
Fact-Checking Tools — Video 3: Evaluating Social Media Accounts

# data[].attributes.body
A PBS News Hour video provides five essential tools you can use to spot misleading social media posts. 2020 (3:52)

# data[].attributes.attachment_link.title
WATCH: How to spot misinformation online

# data[].attributes.body
Describes how algorithms channel online content and the ramifications on privacy and political polarization. Univ. of Louisville, 2020 (3:21)

# data[].attributes.body
Presents strategies for protecting online privacy and for attaining more depth in research results. Univ. of Louisville,  2020  (2:18)

# data[].attributes.body
Mike Caulfield (WA State Univ.) demonstrates how to use Wikipedia to verify authenticity of online sources. 2020 (4:31)

# data[].attributes.attachment_link.title
Skill: Just Add Wikipedia with Mike Caulfield