Workplace

Why do so many ex-Facebookers stay silent?

One former member of the civic integrity team speaks up to explain.

Code overlaid on a shushing face

Non-disparagement agreements and more are keeping ex-Facebookers from speaking up.

Image: Markus Spiske/Kristina Flour/Protocol

In the wake of the Facebook Papers, people across tech are wondering: Why aren't ex-employees speaking up about the revelations coming out about their former company? In short: NDAs and fear, according to one former Facebook employee.

That former employee, Samidh Chakrabarti, who until about six weeks ago helped lead the civic integrity team at Facebook, sounded off in a Twitter thread about the reasons others like him may not be so vocal right now, as the company takes heat from all sides on everything from inaction on serious issues, allegedly stealing ideas from other apps, to a persistent engineering hiring crisis.

According to Chakrabarti, people aren't talking for two reasons, the first being that many of them have signed non-disparagement exit agreements that effectively muzzle them. Chakrabarti included a screenshot of the agreement in question, pointing out that he was "offered a ton of $ to sign, yet refused," because he wanted to preserve his voice.

The other reason former Facebookers aren't talking? The social stigma that surrounds speaking up. "If you've spent years at the company, many of your friends are your coworkers. They now become afraid to talk to you. They ignore you at coffee shops. Even when they agree with you, they can feel betrayed and don't want to risk association w/ you. Your social circle collapses," wrote Chakrabarti on Twitter.

Being a truth-teller can also potentially hurt your future career prospects, he wrote: "Few firms want to hire people who they think would dare be truthful about them later on."

NDAs have traditionally been a controversial part of work agreements both in tech and beyond. That controversy came to a head in August when legislation passed in California that would bar companies from requiring workers to sign non-disclosure agreements preventing those workers from speaking up about illegal discrimination and harassment. Most of the tech giants have so far stayed silent on the Silenced No More Act, with companies including Facebook withholding comment on the law when it was first introduced.

Michelle Ma

Michelle Ma (@himichellema) is a reporter at Protocol covering climate. Previously, she was a news editor of live journalism and special coverage for The Wall Street Journal. Prior to that, she worked as a staff writer at Wirecutter. She can be reached at mma@protocol.com.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

cryptocurrencyblockchainbitcoinlawsuit
sponsored content
Sponsored Content

How is technological innovation breaking down barriers and increasing access to financial services?

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
sponsoredsponsored content
amazon web services
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

awsamazon web servicescloud computinganalyticsdata analyticsadam selipsky

Farewell from Protocol

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

machine learning
Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

mlopsaimachine learning
Latest Stories
Bulletins