Hayden Library - R126.H8 C36 2018

Hayden Library - RC154.7.I5 B47 2018

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Hayden Library - RA452.M6 W43 2019

Hayden Library - R154.S66 M66 2018

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Hayden Library - R489.N37 H33 2018

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As a child of the ’90s, one of my favorite movie quotes is from Harriet the Spy: “there are as many ways to live as there are people in this world, and each one deserves a closer look.” Likewise, there are as many ways to browse the web as there are people online. We each bring unique context to our web experience based on our values, technologies, environments, minds, and bodies. Assistive technologies (ATs), which are hardware and software that help us perceive and interact with digital content, come in diverse forms. ATs can use a whole host of user input, ranging from clicks and keystrokes to minor muscle movements. ATs may also present digital content in a variety of forms, such as Braille displays, color-shifted views, and decluttered user interfaces (UIs). One more commonly known type of AT is the screen reader. Programs such as JAWS, Narrator, NVDA, and VoiceOver can take digital content and present it to users through voice output, may display this output visually on the user’s screen, and can have Braille display and/or screen magnification capabilities built in. If you make websites, you may have tested your sites with a screen reader. But how do these and other assistive programs actually access your content? What information do they use? We’ll take a detailed step-by-step view of how the process works. (For simplicity we’ll continue to reference “browsers” and “screen readers” throughout this article. These are essentially shorthands for “browsers and other applications,” and “screen readers and other assistive technologies,” respectively.)

The semantics-to-screen-readers pipeline

Accessibility application programming interfaces (APIs) create a useful link between user applications and the assistive technologies that wish to interact with them. Accessibility APIs facilitate communicating accessibility information about user interfaces (UIs) to the ATs. The API expects information to be structured in a certain way, so that whether a button is properly marked up in web content or is sitting inside a native app taskbar, a button is a button is a button as far as ATs are concerned. That said, screen readers and other ATs can do some app-specific handling if they wish. On the web specifically, there are some browser and screen reader combinations where accessibility API information is supplemented by access to DOM structures. For this article, we’ll focus specifically on accessibility APIs as a link between web content and the screen reader. Here’s the breakdown of how web content reaches screen readers via accessibility APIs: The web developer uses host language markup (HTML, SVG, etc.), and potentially roles, states, and properties from the ARIA suite where needed to provide the semantics of their content. Semantic markup communicates what type an element is, what content it contains, what state it’s in, etc. The browser rendering engine (alternatively referred to as a “user agent”) takes this information and maps it into an accessibility API. Different accessibility APIs are available on different operating systems, so a browser that is available on multiple platforms should support multiple accessibility APIs. Accessibility API mappings are maintained on a lower level than web platform APIs, so web developers don’t directly interact with accessibility APIs. The accessibility API includes a collection of interfaces that browsers and other apps can plumb into, and generally acts as an intermediary between the browser and the screen reader. Accessibility APIs provide interfaces for representing the structure, relationships, semantics, and state of digital content, as well as means to surface dynamic changes to said content. Accessibility APIs also allow screen readers to retrieve and interact with content via the API. Again, web developers don’t interact with these APIs directly; the rendering engine handles translating web content into information useful to accessibility APIs.

Examples of accessibility APIs

• Windows: Microsoft Active Accessibility (MSAA), extended with another API called IAccessible2 (IA2)
• Windows: UI Automation (UIA), the Microsoft successor to MSAA. A browser on Windows can choose to support MSAA with IA2, UIA, or both.
• MacOS: NSAccessibility (AXAPI)
• Linux/Gnome: Accessibility Toolkit (ATK) and Assistive Technology Service Provider Interface (AT-SPI). This case is a little different in that there are actually two separate APIs: one through which browsers and other applications pass information along to (ATK) and one that ATs then call from (AT-SPI).

The screen reader uses client-side methods from these accessibility APIs to retrieve and handle information exposed by the browser. In browsers where direct access to the Document Object Model (DOM) is permitted, some screen readers may also take additional information from the DOM tree. A screen reader can also interact with apps that use differing accessibility APIs. No matter where they get their information, screen readers can dream up any interaction modes they want to provide to their users (I’ve provided links to screen reader commands at the end of this article). Testing by site creators can help identify content that feels awkward in a particular navigation mode, such as multiple links with the same text (“Learn more”), as one example.

Example of this pipeline: surfacing a button element to screen reader users

Let’s suppose for a moment that a screen reader wants to understand what object is next in the accessibility tree (which I’ll explain further in the next section), so it can surface that object to the user as they navigate to it. The flow will go a little something like this:

1. The screen reader requests information from the API about the next accessible object, relative to the current object.
2. The API (as an intermediary) passes along this request to the browser.
3. At some point, the browser references DOM and style information, and discovers that the relevant element is a non-hidden button: <button>Do a thing</button>.
4. The browser maps this HTML button into the format the API expects, such as an accessible object with various properties: Name: Do a thing, Role: Button.
5. The API returns this information from the browser to the screen reader.
6. The screen reader can then surface this object to the user, perhaps stating “Button, Do a thing.”

Suppose that the screen reader user would now like to “click” this button. Here’s how their action flows all the way back to web content:

1. The user provides a particular screen reader command, such as a keystroke or gesture.
2. The screen reader calls a method into the API to invoke the button.
3. The API forwards this interaction to the browser.
4. How a browser may respond to incoming interactions depends on the context, but in this case the browser can raise this as a “click” event through web APIs. The browser should give no indication that the click came from an assistive technology, as doing so would violate the user’s right to privacy.
5. The web developer has registered a JavaScript event listener for clicks; their callback function is now executed as if the user clicked with a mouse.

Now that we have a general sense of the pipeline, let’s go into a little more detail on the accessibility tree.

The accessibility tree

The accessibility tree is a hierarchical representation of elements in a UI or document, as computed for an accessibility API. In modern browsers, the accessibility tree for a given document is a separate, parallel structure to the DOM tree. “Parallel” does not necessarily mean there is a 1:1 match between the nodes of these two trees. Some elements may be excluded from the accessibility tree, for example if they are hidden or are not semantically useful (think non-focusable wrapper divs without any semantics added by a web developer). This idea of a hierarchical structure is somewhat of an abstraction. The definition of what exactly an accessibility tree is in practice has been debated and partially defined in multiple places, so implementations may differ in various ways. For example, it’s not actually necessary to generate accessible objects for every element in the DOM whenever the DOM tree is constructed. As a performance consideration, a browser could choose to deal with only a subset of objects and their relationships at a time—that is, however much is necessary to fulfill the requests coming from ATs. The rendering engine could make these computations during all user sessions, or only do so when assistive technologies are actively running. Generally speaking, modern web browsers wait until after style computation to build up any accessible objects. Browsers wait in part because generated content (such as ::before and ::after) can contain text that can participate in calculation of the accessible object’s name. CSS styles can also impact accessible objects in other various ways: text styling can come through as attributes on accessible text ranges. Display property values can impact the computation of line text ranges. These are just a few ways in which style can impact accessibility semantics. Browsers may also use different structures as the basis for accessible object computation. One rendering engine may walk the DOM tree and cross-reference style computations to build up parallel tree structures; another engine may use only the nodes that are available in a style tree in order to build up their accessibility tree. User agent participants in the standards community are currently thinking through how we can better document our implementation details, and whether it might make sense to standardize more of these details further down the road. Let’s now focus on the branches of this tree, and explore how individual accessibility objects are computed.

Building up accessible objects

From API to API, an accessible object will generally include a few things:

• Role, or the type of accessible object (for example, Button). The role tells a user how they can expect to interact with the control. It is typically presented when screen reader focus moves onto the accessible object, and it can be used to provide various other functionalities, such as skipping around content via one type of object.
• Name, if specified. The name is an (ideally short) identifier that better helps the user identify and understand the purpose of an accessible object. The name is often presented when screen focus moves to the object (more on this later), can be used as an identifier when presenting a list of available objects, and can be used as a hook for functionalities such as voice commands.
• Description and/or help text, if specified. We’ll use “Description” as a shorthand. The Description can be considered supplemental to the Name; it’s not the main identifier but can provide further information about the accessible object. Sometimes this is presented when moving focus to the accessible object, sometimes not; this variation depends on both the screen reader’s user experience design and the user’s chosen verbosity settings.
• Properties and methods surfacing additional semantics. For simplicity’s sake, we won’t go through all of these. For your awareness, properties can include details like layout information or available interactions (such as invoking the element or modifying its value).

Let’s walk through an example using markup for a simple mood tracker. We’ll use simplified property names and values, because these can differ between accessibility APIs.

<form>
  <label for="mood">On a scale of 1–10, what is your mood today?</label>
  <input id="mood" type="range"
       min="1" max="10" value="5"
       aria-describedby="helperText" />
  <p id="helperText">Some helpful pointers about how to rate your mood.</p>
  <!-- Using a div with button role for the purposes of showing how the accessibility tree is created. Please use the button element! -->
  <div tabindex="0" role="button">Log Mood</div>
</form>

First up is our form element. This form doesn’t have any attributes that would give it an accessible Name, and a form landmark without a Name isn’t very useful when jumping between landmarks. Therefore, HTML mapping standards specify that it should be mapped as a group. Here’s the beginning of our tree:

• Role: Group

Next up is the label. This one doesn’t have an accessible Name either, so we’ll just nest it as an object of role “Label” underneath the form:

• Role: Group
  • Role: Label

Let’s add the range input, which will map into various APIs as a “Slider.” Due to the relationship created by the for attribute on the label and id attribute on the input, this slider will take its Name from the label contents. The aria-describedby attribute is another id reference and points to a paragraph with some text content, which will be used for the slider’s Description. The slider object’s properties will also store “labelledby” and “describedby” relationships pointing to these other elements. And it will specify the current, minimum, and maximum values of the slider. If one of these range values were not available, ARIA standards specify what should be the default value. Our updated tree:

• Role: Group
  • Role: Label
  • Role: Slider Name: On a scale of 1–10, what is your mood today? Description: Some helpful pointers about how to rate your mood. LabelledBy: [label object] DescribedBy: helperText ValueNow: 5 ValueMin: 1 ValueMax: 10

The paragraph will be added as a simple paragraph object (“Text” or “Group” in some APIs):

• Role: Group
  • Role: Label
  • Role: Slider Name: On a scale of 1–10, what is your mood today? Description: Some helpful pointers about how to rate your mood. LabelledBy: [label object] DescribedBy: helperText ValueNow: 5 ValueMin: 1 ValueMax: 10
  • Role: Paragraph

The final element is an example of when role semantics are added via the ARIA role attribute. This div will map as a Button with the name “Log Mood,” as buttons can take their name from their children. This button will also be surfaced as “invokable” to screen readers and other ATs; special types of buttons could provide expand/collapse functionality (buttons with the aria-expanded attribute), or toggle functionality (buttons with the aria-pressed attribute). Here’s our tree now:

• Role: Group
  • Role: Label
  • Role: Slider Name: On a scale of 1–10, what is your mood today? Description: Some helpful pointers about how to rate your mood. LabelledBy: [label object] DescribedBy: helperText ValueNow: 5 ValueMin: 1 ValueMax: 10
  • Role: Paragraph
  • Role: Button Name: Log Mood

On choosing host language semantics

Our sample markup mentions that it is preferred to use the HTML-native button element rather than a div with a role of “button.” Our buttonified div can be operated as a button via accessibility APIs, as the ARIA attribute is doing what it should—conveying semantics. But there’s a lot you can get for free when you choose native elements. In the case of button, that includes focus handling, user input handling, form submission, and basic styling. Aaron Gustafson has what he refers to as an “exhaustive treatise” on buttons in particular, but generally speaking it’s great to let the web platform do the heavy lifting of semantics and interaction for us when we can. ARIA roles, states, and properties are still a great tool to have in your toolbelt. Some good use cases for these are

• providing further semantics and relationships that are not naturally expressed in the host language;
• supplementing semantics in markup we perhaps don’t have complete control over;
• patching potential cross-browser inconsistencies;
• and making custom elements perceivable and operable to users of assistive technologies.

Notes on inclusion or exclusion in the tree

Standards define some rules around when user agents should exclude elements from the accessibility tree. Excluded elements can include those hidden by CSS, or the aria-hidden or hidden attributes; their children would be excluded as well. Children of particular roles (like checkbox) can also be excluded from the tree, unless they meet special exceptions. The full rules can be found in the “Accessibility Tree” section of the ARIA specification. That being said, there are still some differences between implementers, some of which include more divs and spans in the tree than others do.

Notes on name and description computation

How names and descriptions are computed can be a bit confusing. Some elements have special rules, and some ARIA roles allow name computation from the element’s contents, whereas others do not. Name and description computation could probably be its own article, so we won’t get into all the details here (refer to “Further reading and resources” for some links). Some short pointers:

• aria-label, aria-labelledby, and aria-describedby take precedence over other means of calculating name and description.
• If you expect a particular HTML attribute to be used for the name, check the name computation rules for HTML elements. In your scenario, it may be used for the full description instead.
• Generated content (::before and ::after) can participate in the accessible name when said name is taken from the element’s contents. That being said, web developers should not rely on pseudo-elements for non-decorative content, as this content could be lost when a stylesheet fails to load or user styles are applied to the page.

When in doubt, reach out to the community! Tag questions on social media with “#accessibility.” “#a11y” is a common shorthand; the “11” stands for “11 middle letters in the word ‘accessibility.’” If you find an inconsistency in a particular browser, file a bug! Bug tracker links are provided in “Further reading and resources.”

Not just accessible objects

Besides a hierarchical structure of objects, accessibility APIs also offer interfaces that allow ATs to interact with text. ATs can retrieve content text ranges, text selections, and a variety of text attributes that they can build experiences on top of. For example, if someone writes an email and uses color alone to highlight their added comments, the person reading the email could increase the verbosity of speech output in their screen reader to know when they’re encountering phrases with that styling. However, it would be better for the email author to include very brief text labels in this scenario. The big takeaway here for web developers is to keep in mind that the accessible name of an element may not always be surfaced in every navigation mode in every screen reader. So if your aria-label text isn’t being read out in a particular mode, the screen reader may be primarily using text interfaces and only conditionally stopping on objects. It may be worth your while to consider using text content—even if visually hidden—instead of text via an ARIA attribute. Read more thoughts on aria-label and aria-labelledby.

Accessibility API events

It is the responsibility of browsers to surface changes to content, structure, and user input. Browsers do this by sending the accessibility API notifications about various events, which screen readers can subscribe to; again, for performance reasons, browsers could choose to send notifications only when ATs are active. Let’s suppose that a screen reader wants to surface changes to a live region (an element with role="alert" or aria-live):

1. The screen reader subscribes to event notifications; it could subscribe to notifications of all types, or just certain types as categorized by the accessibility API. Let’s assume in our example that the screen reader is at least listening to live region change events.
2. In the web content, the web developer changes the text content of a live region.
3. The browser (provider) recognizes this as a live region change event, and sends the accessibility API a notification.
4. The API passes this notification along to the screen reader.
5. The screen reader can then use metadata from the notification to look up the relevant accessible objects via the accessibility API, and can surface the changes to the user.

ATs aren’t required to do anything with the information they retrieve. This can make it a bit trickier as a web developer to figure out why a screen reader isn’t announcing a change: it may be that notifications aren’t being raised (for example, because a browser is not sending notifications for a live region dynamically inserted into web content), or the AT is not subscribed or responding to that type of event.

Testing with screen readers and dev tools

While conformance checkers can help catch some basic accessibility issues, it’s ideal to walk through your content manually using a variety of contexts, such as

• using a keyboard only;
• with various OS accessibility settings turned on;
• and at different zoom levels and text sizes, and so on.

As you do this, keep in mind the Web Content Accessibility Guidelines (WCAG 2.1), which give general guidelines around expectations for inclusive web content. If you can test with users after your own manual test passes, all the better! Robust accessibility testing could probably be its own series of articles. In this one, we’ll go over some tips for testing with screen readers, and catching accessibility errors as they are mapped into the accessibility API in a more general sense.

Screen reader testing

Screen readers exist in many forms: some are pre-installed on the operating system and others are separate applications that in some cases are free to download. The WebAIM screen reader user survey provides a list of commonly used screen reader and browser combinations among survey participants. The “Further reading and resources” section at the end of this article includes full screen reader user docs, and Deque University has a great set of screen reader command cheat sheets that you can refer to. Some actions you might take to test your content:

• Read the next/previous item.
• Read the next/previous line.
• Read continuously from a particular point.
• Jump by headings, landmarks, and links.
• Tab around focusable elements only.
• Get a summary of all elements of a particular type within the page.
• Search the page for specific content.
• Use table-specific commands to interact with your tables.
• Jump around by form field; are field instructions discoverable in this navigational mode?
• Use keyboard commands to interact with all interactive elements. Are your JavaScript-driven interactions still operable with screen readers (which can intercept key input in certain modes)? WAI-ARIA Authoring Practices 1.1 includes notes on expected keyboard interactions for various widgets.
• Try out anything that creates a content change or results in navigating elsewhere. Would it be obvious, via screen reader output, that a change occurred?

Tracking down the source of unexpected behavior

If a screen reader does not announce something as you’d expect, here are a few different checks you can run:

• Does this reproduce with the same screen reader in multiple browsers on this OS? It may be an issue with the screen reader or your expectation may not match the screen reader’s user experience design. For example, a screen reader may choose to not expose the accessible name of a static, non-interactive element. Checking the user docs or filing a screen reader issue with a simple test case would be a great place to start.
• Does this reproduce with multiple screen readers in the same browser, but not in other browsers on this OS? The browser in question may have an issue, there may be compatibility differences between browsers (such as a browser doing extra helpful but non-standard computations), or a screen reader’s support for a specific accessibility API may vary. Filing a browser issue with a simple test case would be a great place to start; if it’s not a browser bug, the developer can route it to the right place or make a code suggestion.
• Does this reproduce with multiple screen readers in multiple browsers? There may be something you can adjust in your code, or your expectations may differ from standards and common practices.
• How does this element’s accessibility properties and structure show up in browser dev tools?

Inspecting accessibility trees and properties in dev tools

Major modern browsers provide dev tools to help you observe the structure of the accessibility tree as well as a given element’s accessibility properties. By observing which accessible objects are generated for your elements and which properties are exposed on a given element, you may be able to pinpoint issues that are occurring either in front-end code or in how the browser is mapping your content into the accessibility API. Let’s suppose that we are testing this piece of code in Microsoft Edge with a screen reader:

<div class="form-row">
  <label>Favorite color</label>
  <input id="myTextInput" type="text" />
</div>

We’re navigating the page by form field, and when we land on this text field, the screen reader just tells us this is an “edit” control—it doesn’t mention a name for this element. Let’s check the tools for the element’s accessible name. 1. Inspect the element to bring up the dev tools.

2. Bring up the accessibility tree for this page by clicking the accessibility tree button (a circle with two arrows) or pressing Ctrl+Shift+A (Windows).

Reviewing the accessibility tree is an extra step for this particular flow but can be helpful to do. When the Accessibility Tree pane comes up, we notice there’s a tree node that just says “textbox:,” with nothing after the colon. That suggests there’s not a name for this element. (Also notice that the div around our form input didn’t make it into the accessibility tree; it was not semantically useful). 3. Open the Accessibility Properties pane, which is a sibling of the Styles pane. If we scroll down to the Name property—aha! It’s blank. No name is provided to the accessibility API. (Side note: some other accessibility properties are filtered out of this list by default; toggle the filter button—which looks like a funnel—in the pane to get the full list).

4. Check the code. We realize that we didn’t associate the label with the text field; that is one strategy for providing an accessible name for a text input. We add for="myTextInput" to the label:

<div class="form-row">
  <label for="myTextInput">Favorite color</label>
  <input id="myTextInput" type="text" />
</div>

And now the field has a name:

In another use case, we have a breadcrumb component, where the current page link is marked with aria-current="page":

<nav class="breadcrumb" aria-label="Breadcrumb">
  <ol>
    <li>
      <a href="/cat/">Category</a>
    </li>
    <li>
      <a href="/cat/sub/">Sub-Category</a>
    </li>
    <li>
      <a aria-current="page" href="/cat/sub/page/">Page</a>
    </li>
  </ol>
</nav>

When navigating onto the current page link, however, we don’t get any indication that this is the current page. We’re not exactly sure how this maps into accessibility properties, so we can reference a specification like Core Accessibility API Mappings 1.2 (Core-AAM). Under the “State and Property Mapping” table, we find mappings for “aria-current with non-false allowed value.” We can check for these listed properties in the Accessibility Properties pane. Microsoft Edge, at the time of writing, maps into UIA (UI Automation), so when we check AriaProperties, we find that yes, “current=page” is included within this property value.

Now we know that the value is presented correctly to the accessibility API, but the particular screen reader is not using the information. As a side note, Microsoft Edge’s current dev tools expose these accessibility API properties quite literally. Other browsers’ dev tools may simplify property names and values to make them easier to read, particularly if they support more than one accessibility API. The important bit is to find if there’s a property with roughly the name you expect and whether its value is what you expect. You can also use this method of checking through the property names and values if mapping specs, like Core-AAM, are a bit intimidating!

Advanced accessibility tools

While browser dev tools can tell us a lot about the accessibility semantics of our markup, they don’t generally include representations of text ranges or event notifications. On Windows, the Windows SDK includes advanced tools that can help debug these parts of MSAA or UIA mappings: Inspect and AccEvent (Accessible Event Watcher). Using these tools presumes knowledge of the Windows accessibility APIs, so if this is too granular for you and you’re stuck on an issue, please reach out to the relevant browser team! There is also an Accessibility Inspector in Xcode on MacOS, with which you can inspect web content in Safari. This tool can be accessed by going to Xcode > Open Developer Tool > Accessibility Inspector.

Diversity of experience

Equipped with an accessibility tree, detailed object information, event notifications, and methods for interacting with accessible objects, screen readers can craft a browsing experience tailored to their audiences. In this article, we’ve used the term “screen readers” as a proxy for a whole host of tools that may use accessibility APIs to provide the best user experience possible. Assistive technologies can use the APIs to augment presentation or support varying types of user input. Examples of other ATs include screen magnifiers, cognitive support tools, speech command programs, and some brilliant new app that hasn’t been dreamed up yet. Further, assistive technologies of the same “type” may differ in how they present information, and users who share the same tool may further adjust settings to their liking. As web developers, we don’t necessarily need to make sure that each instance surfaces information identically, because each user’s preferences will not be exactly the same. Our aim is to ensure that no matter how a user chooses to explore our sites, content is perceivable, operable, understandable, and robust. By testing with a variety of assistive technologies—including but not limited to screen readers—we can help create a better web for all the many people who use it.

Further reading and resources

• WebAIM “Survey of Users with Low Vision”
• WebAIM “Screen Reader User Survey”
• W3C developer guides
  • W3C Web Accessibility Initiative (WAI) resources
  • Web Content Accessibility Guidelines (WCAG) 2.1
  • WAI-ARIA Authoring Practices 1.1
  • ARIA in HTML
  • Using ARIA
• W3C specifications: The docs below are known as “AAMs.” They detail how content maps into various accessibility APIs and may be less relevant to web developers’ day-to-day work. However, some have notes on how specific elements’ names and descriptions are meant to be calculated:
  • Core Accessibility API Mappings 1.1
  • Graphics Accessibility API Mappings
  • HTML Accessibility API Mappings 1.0
  • SVG Accessibility API Mappings
• Inclusive Components
• A List Apart articles on accessibility
  • “Conversational Semantics”
  • “WAI-finding with ARIA Landmark Roles”
• “The Importance of Manual Accessibility Testing”
• Deque University screen reader shortcuts references
• Screen reader user docs (commands)
  • JAWS user docs
  • Narrator user docs
  • NVDA user docs
  • VoiceOver user docs (VoiceOver command charts)
  • iOS VoiceOver user docs
• Browser rendering engine bug trackers
  • Chrome
  • Firefox
  • Microsoft Edge
  • Safari

As I write this, the world is sending its thoughts and prayers to our Muslim cousins. The Christchurch act of terrorism has once again reminded the world that white supremacy’s rise is very real, that its perpetrators are no longer on the fringes of society, but centered in our holiest places of worship. People are begging us to not share videos of the mass murder or the hateful manifesto that the white supremacist terrorist wrote. That’s what he wants: for his proverbial message of hate to be spread to the ends of the earth.

We live in a time where you can stream a mass murder and hate crime from the comfort of your home. Children can access these videos, too.

As I work through the pure pain, unsurprised, observing the toll on Muslim communities (as a non-Muslim, who matters least in this event), I think of the imperative role that our industry plays in this story.

At time of writing, YouTube has failed to ban and to remove this video. If you search for the video (which I strongly advise against), it still comes up with a mere content warning; the same content warning that appears for casually risqué content. You can bypass the warning and watch people get murdered. Even when the video gets flagged and taken down, new ones get uploaded.

Human moderators have to relive watching this trauma over and over again for unlivable wages. News outlets are embedding the video into their articles and publishing the hateful manifesto. Why? What does this accomplish?

I was taught in journalism class that media (photos, video, infographics, etc.) should be additive (a progressive enhancement, if you will) and provide something to the story for the reader that words cannot.

Is it necessary to show murder for our dear readers to understand the cruelty and finality of it? Do readers gain something more from watching fellow humans have their lives stolen from them? What psychological damage are we inflicting upon millions of people   and for what?

Who benefits?

The mass shooter(s) who had a message to accompany their mass murder. News outlets are thirsty for perverse clicks to garner more ad revenue. We, by way of our platforms, give agency and credence to these acts of violence, then pilfer profits from them. Tech is a money-making accomplice to these hate crimes.

Christchurch is just one example in an endless array where the tools and products we create are used as a vehicle for harm and for hate.

Facebook and the Cambridge Analytica scandal played a critical role in the outcome of the 2016 presidential election. The concept of “race realism,” which is essentially a term that white supremacists use to codify their false racist pseudo-science, was actively tested on Facebook’s platform to see how the term would sit with people who are ignorantly sitting on the fringes of white supremacy. Full-blown white supremacists don’t need this soft language. This is how radicalization works.

The strategies articulated in the above article are not new. Racist propaganda predates social media platforms. What we have to be mindful with is that we’re building smarter tools with power we don’t yet fully understand: you can now have an AI-generated human face. Our technology is accelerating at a frightening rate, a rate faster than our reflective understanding of its impact.

Combine the time-tested methods of spreading white supremacy, the power to manipulate perception through technology, and the magnitude and reach that has become democratized and anonymized.

We’re staring at our own reflection in the Black Mirror.

The right to speak versus the right to survive

Tech has proven time and time again that it voraciously protects first amendment rights above all else. (I will also take this opportunity to remind you that the first amendment of the United States offers protection to the people from the government abolishing free speech, not from private money-making corporations).

Evelyn Beatrice Hall writes in The Friends of Voltaire, “I disapprove of what you say, but I will defend to the death your right to say it.” Fundamentally, Hall’s quote expresses that we must protect, possibly above all other freedoms, the freedom to say whatever we want to say. (Fun fact: The quote is often misattributed to Voltaire, but Hall actually wrote it to explain Voltaire’s ideologies.)

And the logical anchor here is sound: We must grant everyone else the same rights that we would like for ourselves. Former 99u editor Sean Blanda wrote a thoughtful piece on the “Other Side,” where he posits that we lack tolerance for people who don’t think like us, but that we must because we might one day be on the other side. I agree in theory.

But, what happens when a portion of the rights we grant to one group (let’s say, free speech to white supremacists) means the active oppression another group’s right (let’s say, every person of color’s right to live)?

James Baldwin expresses this idea with a clause, “We can disagree and still love each other unless your disagreement is rooted in my oppression and denial of my humanity and right to exist.”

It would seem that we have a moral quandary where two sets of rights cannot coexist. Do we protect the privilege for all users to say what they want, or do we protect all users from hate? Because of this perceived moral quandary, tech has often opted out of this conversation altogether. Platforms like Twitter and Facebook, two of the biggest offenders, continue to allow hate speech to ensue with irregular to no regulation.

When explicitly asked about his platform as a free-speech platform and its consequence to privacy and safety, Twitter CEO Jack Dorsey said,

“So we believe that we can only serve the public conversation, we can only stand for freedom of expression if people feel safe to express themselves in the first place. We can only do that if they feel that they are not being silenced.”

Dorsey and Twitter are most concerned about protecting expression and about not silencing people. In his mind, if he allows people to say whatever they want on his platform, he has succeeded. When asked about why he’s failed to implement AI to filter abuse like, say, Instagram had implemented, he said that he’s most concerned about being able to explain why the AI flagged something as abusive. Again, Dorsey protects the freedom of speech (and thus, the perpetrators of abuse) before the victims of abuse.

But he’s inconsistent about it. In a study by George Washington University comparing white nationalists and ISIS social media usage, Twitter’s freedom of speech was not granted to ISIS. Twitter suspended 1,100 accounts related to ISIS whereas it suspended only seven accounts related to Nazis, white nationalism, and white supremacy, despite the accounts having more than seven times the followers, and tweeting 25 times more than the ISIS accounts. Twitter here made a moral judgment that the fewer, less active, and less influential ISIS accounts were somehow not welcome on their platform, whereas the prolific and burgeoning Nazi and white supremacy accounts were.

So, Twitter has shown that it won’t protect free speech at all costs or for all users. We can only conclude that Twitter is either intentionally protecting white supremacy or simply doesn’t think it’s very dangerous. Regardless of which it is (I think I know), the outcome does not change the fact that white supremacy is running rampant on its platforms and many others.

Let’s brainwash ourselves for a moment and pretend like Twitter does want to support freedom of speech equitably and stays neutral and fair to complete this logical exercise: Going back to the dichotomy of rights example I provided earlier, where either the right to free speech or the right to safety and survival prevail, the rights and the power will fall into the hands of the dominant group or ideologue.

In case you are somehow unaware, the dominating ideologue, whether you’re a flagrant white supremacist or not, is white supremacy. White supremacy was baked into founding principles of the United States, the country where the majority of these platforms were founded and exist. (I am not suggesting that white supremacy doesn’t exist globally, as it does, evidenced most recently by the terrorist attack in Christchurch. I’m centering the conversation intentionally around the United States as it is my lived experience and where most of these companies operate.)

Facebook attempted to educate its team on white supremacy in order to address how to regulate free speech. A laugh-cry excerpt:

“White nationalism and calling for an exclusively white state is not a violation for our policy unless it explicitly excludes other PCs [protected characteristics].”

White nationalism is a softened synonym for white supremacy so that racists-lite can feel more comfortable with their transition into hate. White nationalism (a.k.a. white supremacy) by definition explicitly seeks to eradicate all people of color. So, Facebook should see white nationalist speech as exclusionary, and therefore a violation of their policies.

Regardless of what tech leaders like Dorsey or Facebook CEO Zuckerberg say or what mediocre and uninspired condolences they might offer, inaction is an action.

Companies that use terms and conditions or acceptable use policies to defend their inaction around hate speech are enabling and perpetuating white supremacy. Policies are written by humans to protect that group of human’s ideals. The message they use might be that they are protecting free speech, but hate speech is a form of free speech. So effectively, they are protecting hate speech. Well, as long as it’s for white supremacy and not the Islamic State.

Whether the motivation is fear (losing loyal Nazi customers and their sympathizers) or hate (because their CEO is a white supremacist), it does not change the impact: Hate speech is tolerated, enabled, and amplified by way of their platforms.

“That wasn’t our intent”

Product creators might be thinking, Hey, look, I don’t intentionally create a platform for hate. The way these features were used was never our intent.

Intent does not erase impact.

We cannot absolve ourselves of culpability merely because we failed to conceive such evil use cases when we built it. While we very well might not have created these platforms with the explicit intent to help Nazis or imagined it would be used to spread their hate, the reality is that our platforms are being used in this way.

As product creators, it is our responsibility to protect the safety of our users by stopping those that intend to or already cause them harm. Better yet, we ought to think of this before we build the platforms to prevent this in the first place.

The question to answer isn’t, “Have I made a place where people have the freedom to express themselves?” Instead we have to ask, “Have I made a place where everyone has the safety to exist?” If you have created a place where a dominant group can embroil and embolden hate against another group, you have failed to create a safe place. The foundations of hateful speech (beyond the psychological trauma of it) lead to events like Christchurch.

We must protect safety over speech.

The Domino Effect

This week, Slack banned 28 hate groups. What is most notable, to me, is that the groups did not break any parts of their Acceptable Use Policy. Slack issued a statement:

The use of Slack by hate groups runs counter to everything we believe in at Slack and is not welcome on our platform… Using Slack to encourage or incite hatred and violence against groups or individuals because of who they are is antithetical to our values and the very purpose of Slack.

That’s it.

It is not illegal for tech companies like Slack to ban groups from using their proprietary software because it is a private company that can regulate users if they do not align with their vision as a company. Think of it as the “no shoes, no socks, no service” model, but for tech.

Slack simply decided that supporting the workplace collaboration of Nazis around efficient ways to evangelize white supremacy was probably not in line with their company directives around inclusion. I imagine Slack also considered how their employees of color most ill-affected by white supremacy would feel working for a company that supported it, actively or not.

What makes the Slack example so notable is that they acted swiftly and on their own accord. Slack chose the safety of all their users over the speech of some.

When caught with their enablement of white supremacy, some companies will only budge under pressure from activist groups, users, and employees.

PayPal finally banned hate groups after Charlottesville and after Southern Poverty Law Center (SPLC) explicitly called them out for enabling hate. SPLC had identified this fact for three years prior. PayPal had ignored them for all three years.

Unfortunately, taking these “stances” against something as clearly and viscerally wrong as white supremacy is rare for companies to do. The tech industry tolerates this inaction through unspoken agreements.

If Facebook doesn’t do anything about racist political propaganda, YouTube doesn’t do anything about PewDiePie, and Twitter doesn’t do anything about disproportionate abuse against Black women, it says to the smaller players in the industry that they don’t have to either.

The tech industry reacts to its peers. When there is disruption, as was the case with Airbnb, who screened and rejected any guests who they believed to be partaking in the Unite the Right Charlottesville rally, companies follow suit. GoDaddy cancelled Daily Stormer’s domain registration and Google did the same when they attempted migration.

If one company, like Slack or Airbnb, decides to do something about the role it’s going to play, it creates a perverse kind of FOMO for the rest: Fear of missing out of doing the right thing and standing on the right side of history.

Don’t have FOMO, do something

The type of activism at those companies all started with one individual. If you want to be part of the solution, I’ve gathered some places to start. The list is not exhaustive, and, as with all things, I recommend researching beyond this abridged summary.

1. Understand how white supremacy impacts you as an individual.
   Now, if you are a person of color, queer, disabled, or trans, it’s likely that you know this very intimately.

    

   If you are not any of those things, then you, as a majority person, need to understand how white supremacy protects you and works in your favor. It’s not easy work, it is uncomfortable and unfamiliar, but you have the most powerful tools to fix tech. The resources are aplenty, but my favorite abridged list:

   1. Seeing White podcast
   2. Ijeoma Oluo’s So you want to talk about race
   3. Reni Eddo-Lodge’s Why I’m no longer talking to white people about race (Very key read for UK folks)
   4. Robin DiAngelo’s White Fragility
2. See where your company stands: Read your company’s policies like accepted use and privacy policies and find your CEO’s stance on safety and free speech.
   While these policies are baseline (and in the Slack example, sort of irrelevant), it’s important to known your company's track record. As an employee, your actions and decisions either uphold the ideologies behind the company or they don’t. Ask yourself if the company’s ideologies are worth upholding and whether they align with your own. Education will help you to flag if something contradicts those policies, or if the policies themselves allow for unethical activity.
3. Examine everything you do critically on an ongoing basis.
   You may feel your role is small or that your company is immune—maybe you are responsible for the maintenance of one small algorithm. But consider how that algorithm or similar ones can be exploited. Some key questions I ask myself:
   1. Who benefits from this? Who is harmed?
   2. How could this be used for harm?
   3. Who does this exclude? Who is missing?
   4. What does this protect? For whom? Does it do so equitably?
4. See something? Say something.
   If you believe that your company is creating something that is or can be used for harm, it is your responsibility to say something. Now, I’m not naïve to the fact that there is inherent risk in this. You might fear ostracization or termination. You need to protect yourself first. But you also need to do something.
   1. Find someone who you trust who might be at less risk. Maybe if you’re a nonbinary person of color, find a white cis man who is willing to speak up. Maybe if you’re a white man who is new to the company, find a white man who has more seniority or tenure. But also, consider how you have so much more relative privilege compared to most other people and that you might be the safest option.
   2. Unionize. Find peers who might feel the same way and write a collective statement.
   3. Get someone influential outside of the company (if knowledge is public) to say something.
5. Listen to concerns, no matter how small, particularly if they’re coming from the most endangered groups.
   If your user or peer feels unsafe, you need to understand why. People often feel like small things can be overlooked, as their initial impact might be less, but it is in the smallest cracks that hate can grow. Allowing one insensitive comment about race is still allowing hate speech. If someone, particularly someone in a marginalized group, brings up a concern, you need to do your due diligence to listen to it and to understand its impact.

I cannot emphasize this last point enough.

What I say today is not new. Versions of this article have been written before. Women of color like me have voiced similar concerns not only in writing, but in design reviews, in closed door meetings to key stakeholders, in Slack DMs. We’ve blown our whistles.

But here is the power of white supremacy.

White supremacy is so ingrained in every single aspect of how this nation was built, how our corporations function, and who is in control. If you are not convinced of this, you are not paying attention or intentionally ignoring the truth.

Queer, Muslim, disabled, trans women and nonbinary folks of color — the marginalized groups most impacted by this — are the ones who are voicing these concerns most voraciously. Speaking up requires us to enter the spotlight and outside of safety—we take a risk and are not heard.

The silencing of our voices is one of many effective tools of white supremacy. Our silencing lives within every microaggression, each time we’re talked over, or not invited to partake in key decisions.

In tech, I feel I am a canary in a coal mine. I have sung my song to warn the miners of the toxicity. My sensitivity to it is heightened, because of my existence.

But the miners look at me and tell me that my lived experience is false. It does not align with their narrative as humans. They don’t understand why I sing.

If the people at the highest echelons of the tech industry—the white, male CEOs in power—fail to listen to its most marginalized people—the queer, disabled, trans, people of color—the fate of the canaries will too become the fate of the miners.