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The 2023 Social Media Summit@MIT Event Report

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Christopher Graves, the keynote speaker at the <strong>2023</strong> <strong>Social</strong><br />

<strong>Media</strong> <strong>Summit@MIT</strong>, offered a revealing look under the hood<br />

of social media marketing tools. He described the growing<br />

danger of what he calls “personality-based marketing,” a<br />

rising—and somewhat disturbing—approach that matches<br />

individual personality traits to social media habits.<br />

How Behavioral Science<br />

Can Decode Us<br />

Graves knows more about digital marketing than most. <strong>The</strong><br />

founder and president of the Ogilvy Center for Behavioral<br />

Science, part of Ogilvy Consulting, he pointed out that<br />

companies are now correlating users’ online behavior—<br />

even photographs of their faces—with specific personality<br />

characteristics. Organizations then use these sophisticated<br />

results to build a data “genome” and deliver content aimed at<br />

encouraging specific actions.<br />

Personality Traits<br />

COGNITIVE STYLE<br />

People have a series of filters that either sharpen or distort<br />

their beliefs, preferences, and decisions, Graves told<br />

SMS@MIT attendees. “I can now test individuals at large<br />

scale to better ‘decode’ them,” he added.<br />

“When you use this for good, it could possibly lead to<br />

rapprochement or resonance,” Graves said. “But if you use<br />

it for ill will, it could be very malicious manipulation.”<br />

WORLDVIEW & AFFINITIES<br />

While marketing has long used personality-driven<br />

techniques to find, segment, and sell to customers,<br />

today’s AI-based approaches are far more sophisticated<br />

and accurate. Also, where earlier approaches attempted<br />

to change or convert ideas, today’s behavioral approaches<br />

focus on changing behavior.<br />

Graves said that personality inference can be done in six<br />

distinct ways, all of which can be accelerated with AI for<br />

pattern recognition: eye tracking, text parsing, images<br />

(especially photos of faces), music and sound, behavior<br />

on a mobile phone, and social engagement.<br />

SOCIAL MEDIA<br />

DRILLS DEEP<br />

Olgivy’s cognitive scientist<br />

Christopher Graves describes<br />

sophisticated new marketing<br />

tools to ‘decode’ online behavior<br />

WATCH VIDEO<br />

Christopher Graves<br />

President & Founder, Ogilvy Center<br />

for Behavioral Science<br />

“Companies have<br />

great interest in<br />

figuring out who you<br />

are based on your<br />

digital footprint.”<br />

Christopher Graves<br />

President & Founder, Ogilvy Center for Behavioral Science<br />

Graves described three lenses that marketers use to<br />

gain insights into individuals: personality traits, cognitive<br />

style, and worldview/identity. <strong>The</strong>se factors come into<br />

play when a social media platform—or a user or advertiser<br />

on a platform—wants to persuade others to take a specific<br />

action. People with different personalities, cognitive styles,<br />

and worldviews will respond better or worse to different<br />

kinds of messages.<br />

‘Decoding’ Personality Traits<br />

In the past, personality profiling was typically done with<br />

surveys and tests. But today’s social media platforms can<br />

remotely “decode” people by observing their preferences<br />

and behavior online.<br />

One approach claims to correlate personality types with eye<br />

movement; another purports to do the same through your<br />

use of language. Yet another technology claims to use a<br />

photograph of faces to determine personality types or even,<br />

according to one researcher, a person’s sexual orientation.<br />

It’s not clear whether this kind of tracking is being used<br />

now by the leading social media platforms, Graves said.<br />

But patent applications around personal inference have<br />

been filed by companies that include Facebook, Google,<br />

Microsoft, and Spotify. <strong>The</strong>se companies, Graves added,<br />

“have great interest in looking at your digital footprint and<br />

digital breadcrumbs to figure out who you really are—not<br />

who you say you are.”<br />

Getting to Know You<br />

<strong>The</strong>se analytics could also be used to empower AI chatbots<br />

for good purposes. For example, in the case of vaccine<br />

resistance, an empathetic approach might hear out the<br />

person’s reasons for concern and then match a pro-vaccine<br />

storyline to that person’s personality type.<br />

Another example: People could also opt-in to use personalityinferring<br />

chatbots to help them quit smoking. “If you know<br />

how somebody’s wired and respectfully approach them on<br />

their terms in ways that make sense to them, you probably<br />

have a slightly better chance at helping them,” Graves said.<br />

Despite the promise, personality-aware AI could make the<br />

spread of misinformation even more pernicious. “Imagine<br />

I’m trying to whip you up into anger, into further polarization,”<br />

Graves said. “I will have better tools and a much more finely<br />

nuanced understanding of your hot buttons.”<br />

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