Home Platforms Research: Why Google, Facebook And Instagram Are Being Hypocritical When They Bust Supposed Bad Actors For Messing With Their Algorithms

Research: Why Google, Facebook And Instagram Are Being Hypocritical When They Bust Supposed Bad Actors For Messing With Their Algorithms

SHARE:

When Facebook, Google or Instagram approve of an engagement-boosting tactic, they usually describe it with positive words, such as “organic” or “authentic.”

Tactics they forbid, however – generally unilaterally and sometimes without warning – are characterized as “unnatural” and whoever uses them is a “schemer” or an “offender.”

Most news articles covering these guideline changes unquestioningly adopt the same terminology.

Yet, an academic paper released in November examining the moralizing language employed by the platforms found that the line between what they consider good and bad is “incredibly blurry and constantly changing,” said Caitlin Petre, an assistant professor of journalism and media studies at Rutgers University, and co-author of the study.

“The platforms are portrayed as neutral, benevolent actors working to maintain a meritocracy while users are seen as the deviants,” said Petre, who conducted the research with Brooke Erin Duffy, an associate professor of communications at Cornell, and Emily Hund, a researcher at the University of Pennsylvania.

The big problem with that? “It obscures the fact that these platforms are also private, profit-driven companies that mainly act to safeguard and protect their own financial interests.”

AdExchanger spoke with Petre.

AdExchanger: You use the term “platform paternalism” in your study. How do you define it?

CAITLIN PETRE: In punishing the so-called bad people, the platforms elevate themselves as the rightful arbiters of the online universe, as benevolent figures with the authority to wield power neutrally and in everyone’s best interests. That is platform paternalism. 

What’s an example of something that was once seen as legit and is now considered algorithmic manipulation?

There are many examples, but a good one would be in May 2017 when Facebook said it would demote clickbait headlines in the news feed. Facebook defined clickbait headlines as a form of algorithm gaming, as an illegitimate use of the platform. Facebook started telling publishers not to use so-called clickbait headlines and instead to use a call to action in posts in order to make them compelling.

Flash forward to December, not even a full year later, and Facebook announced that it would start cracking down on “engagement bait,” a term Facebook coined, as far as I know, which is defined as essentially goading users into interacting with a Facebook post by, among other things, including a call to action – the exact tactic Facebook explicitly encouraged publishers to use in May.

What reasoning seems to go into platform guidelines that govern these use cases?

We would all like to know that. These platforms operate as black boxes, so it’s usually hard to know exactly what drives a particular change. But if you take a step back and look at the big picture, you see that the platforms have two different models for achieving visibility and distribution: One is free use and the other is paid.

The definition of what is thought of as gaming the system vs. not gaming the system pushes publishers and creators, or “cultural producers” as we call them in the paper, toward the paid promotion of content as opposed to achieving visibility through free use of the platform.

But doesn’t organic reach eventually decline on social platforms?

There are definitely varying degrees of awareness of the fact that at some point there’s no more free lunch and that you’re not going to be able to achieve the same visibility as before without paying, but there’s also a sense of resignation. For some creators, like freelance photographers on Instagram, for example, there is simply no scaled alternative for them to use.

Is there a worst offender among the big platforms for having the most inscrutable or constantly changing guidelines?

The answer depends on the community of users you’re looking at. My co-authors focus on influencers, so they’d probably say Instagram. I study journalists and what is happening to the media business and so, for me, it’s absolutely Facebook. Facebook has professed again and again that the news is important to them, but we’ve seen how it’s played out in the journalism industry and sometimes with terrible effects. Look at the pivot-to-video crisis, which illustrates that if you’re a publisher and Facebook says, “Jump,” you usually say, “How high?”

What’s the solution?

That’s the million – or many billion – dollar question, and it’s a difficult one. But as the so-called tech lash has grown over the last few years, there’s been greater awareness that these platforms are driven by financial and material interests above any other high-minded goal.

This interview has been edited and condensed.

Must Read

Why Agencies Think They Shouldn’t Own Agentic AI Tools Or The Data Used To Build Them

Agencies are differentiating their tech stacks by building custom agentic AI tools for their clients. And they’re rethinking owning those AI tools – particularly since licensing them creates new revenue streams.

Programmatic IO: Insurers Are Building Ad Tech’s AI Accountability Layer

Agencies and marketers discussed the future of AI governance at AdExchanger’s Programmatic IO NYC this week. The main takeaway? Expect insurers to play an increasingly important role in managing AI compliance.

Apple’s Latest Operating System Blocks The Trade Desk From Serving Ads On Safari

The Trade Desk is unable to serve ads to the Safari browser for Apple device owners that have downloaded iOS 27. Apple has been investigating the issue since last week.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Who Will Stand Up For The Open Web?

The open web is done, stick a fork in it. Banner blindness is near universal, search traffic has run dry and publishers are struggling for oxygen. But what if that’s … not true?

A comic showing lab techs as stand-ins for legislators experimenting with provisions for US state privacy laws, including restrictions on collecting sensitive data.

What Publishers Don't Know About New Jersey’s Data Broker Law Could Cost Them

Attention, publishers: Although you might not think of yourself as a data broker, in the great state of New Jersey, that’s not really your call anymore.

Predict Bowl Icon. Magician Element, Forecasting Symbol – Vector.

Why This Marketing Measurement Company Just Open-Sourced Its Forecasting Engine

MMM can tell marketers what worked, but Lifesight’s open-sourced forecasting tool aims to tell them what to do next.