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Now you see me, now you don’t: How subtle ‘sponsored content’ on social media tricks us into viewing ads

People are not as good at spotting them as they think. If people recognized ads, they usually ignored them – but some, designed to blend in with your friends’ posts, flew under the radar.

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How many ads do you see on social media? It might be more than you realize. Scientists studying how ads work on Instagram-style social media have found that people are not as good at spotting them as they think. If people recognized ads, they usually ignored them – but some, designed to blend in with your friends’ posts, flew under the radar.

“We wanted to understand how ads are really experienced in daily scrolling — beyond what people say they notice, to what they actually process,” said Maike Hübner, PhD candidate at the University of Twente, corresponding author of the article in Frontiers in Psychology. “It’s not that people are worse at spotting ads. It’s that platforms have made ads better at blending in. We scroll on autopilot, and that’s when ads slip through. We may even engage with ads on purpose, because they’re designed to reflect the trends or products our friends are talking about and of course we want to keep up. That’s what makes them especially hard to resist.”

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The scientists wanted to test how much time people spent looking at sponsored versus organic posts, how they looked at different areas of these different posts, and how they behaved after realizing they were looking at sponsored content. They randomly assigned 152 participants, all of whom were regular Instagram users, to one of three mocked-up social media feeds, each of which was made up of 29 posts — eight ads and 21 organic posts. 

They were asked to imagine that the feed was their own and to scroll through it as they would normally. Using eye-tracking software, the scientists measured fixations — the number of times a participant’s gaze stopped on different features of a post — and dwell time, how long the fixations last. A low dwell time suggests that someone just noticed the feature, while a high dwell time might indicate they were paying attention. After each session, the scientists interviewed the participants about their experience.

Although people did notice disclosures when they were visible, the eye-tracking data suggested that participants paid more attention to calls to action — like a link to sign up for something — which could indicate that this is how they recognize ads. Participants were also quick to recognize an ad by the profile name or verification badge of a brand’s official account, or glossy visuals, which caused participants to express distrust. 

“People picked up on design details like logos, polished images, or ‘shop now’ buttons before they noticed an actual disclosure,” said Hübner. “On brand posts, that label is right under the username at the top, while on influencer content or reels, it might be hidden in a hashtag or buried in the ‘read more’ section.”

Although the scientists found that the ads often went unnoticed, if people realized that the content wasn’t organic, many of them stopped engaging with the post. Dwell time dropped immediately.

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This was less likely to happen to ads that blended in better, with less polished visuals and a tone and format more typical of organic content. If ad cues like disclosures or call-to-action buttons weren’t noticed right away, they got similar levels of engagement to organic posts. 

“Many participants were shocked to learn how many ads they had missed. Some felt tricked, others didn’t mind — and that last group might be the most worrying,” said Hübner. “When we stop noticing or caring that something is an ad, the boundary between persuasion and information becomes very thin.”

The scientists say these findings show that transparency goes well beyond just labelling ads. Understanding how people really process ads should lead to a rethink of platform design and regulation to make sure that people know when they’re looking at advertising. 

However, this was a lab-based study with simulated feeds, and it’s possible that studies on different cultures, age groups, or types of social media might get different results. It’s also possible that ads are even harder to recognize under real-life conditions.

“Even in a neutral, non-personalized feed, participants struggled to tell ads apart from regular content,” Hübner pointed out. “In their own feeds which are shaped around their interests, habits, and social circles it might be even harder to spot ads, because they feel more familiar and trustworthy.”

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Reversible words can lower consumer disbelief in ads

A simple word choice in marketing messages can significantly impact how confident consumers feel about believing – or not believing – a claim.

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It’s estimated that consumers experience hundreds if not thousands of marketing messages daily. While the exact number can depend, how much someone believes the message can be more important for marketing success than the number of messages they see. 

A new study reveals that a simple word choice in marketing messages can significantly impact how confident consumers feel about believing – or not believing – a claim. Researchers found that when words differ in their “reversability,” or how easily people can think of their opposites, it can trigger different mental processes when consumers evaluate marketing language. 

Imagine the messaging options for a new sunscreen designed specifically for those who like a strong scented product. The first product description reads, “The scent is prominent,” while the second notes, “The scent is intense.” The word “prominent” is uni-polar, meaning people tend to negate it by adding “not” to the original statement.

“Intense,” though, is a bi-polar word, meaning readers can easily come up with its opposite meaning and negate the statement by replacing it with its antonym. In this example, “The scent is mild,” instead of, “The scent is intense.” 

“When people encounter easily reversible words, like ‘intense’, in messages processed as negations (mild), they experience lower confidence in their judgements compared to words that are hard to reverse, like ‘prominent,’” explained Giulia Maimone, a postdoctoral scholar in marketing at the University of Florida Warrington College of Business. 

Across two experiments of more than 1,000 participants, the research demonstrated that this effect occurs because negations of bi-polar, or reversible, words engage a more elaborate cognitive process requiring additional mental effort, resulting in lower confidence of the statement’s truthfulness. 

Based on their findings, the researchers suggest that marketers take this advice when crafting language: for new products, use affirmative statements with easily reversible words, like ‘The scent is intense’ in the sunscreen example, which most consumers will judge as true with high confidence. Importantly, this language would also minimize the confidence of consumers who will be skeptical about the message, as they will process it via a more complex cognitive process that reduces confidence in those consumers’ disbelief. 

“This simple lexical choice could help companies maximize confidence in their desired messaging and minimize confidence among the doubters,” Maimone explained. 

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If you’re a perfectionist at work, your boss’ expectations may matter more than your own, research finds

Help your employees by clarifying expectations through regular feedback and performance conversations to reduce role ambiguity, as doing so can provide employees with a better understanding of role expectations and enhance mutual understanding of those standards.

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If you’re among the 93% of people who struggle with perfectionism at work, new research suggests that your experience may depend less on your own high standards and more on whether those standards meet your supervisor’s expectations. 

Researchers from the University of Florida Warrington College of Business found that whether perfectionism helps or harms employees depends largely on whether employees’ personal standards align with their supervisors’ expectations. 

Specifically, they looked at the connection between employees’ self-oriented perfectionism, or the expectations of flawlessness they set for themselves, and supervisors’ other-oriented perfectionism, which reflects the extent to which they set excessively high standards for and critically evaluate their employees’ performance. 

Using data from more than 350 employees and about 100 supervisors, the researchers found that perfectionism’s impact depends on whether employees’ standards align with what their supervisors expect and how clearly those expectations are understood. 

When employees’ personal standards are aligned with their supervisors’ expectations, they tend to experience less role ambiguity, meaning they have less uncertainty about the expectations and standards for their role, why those standards matter and the consequences of not meeting them. This clarity in their work is linked to better performance, lower burnout and higher job satisfaction. 

“Problems between employees and their supervisors are more likely to arise when these expectations don’t match,” explained Brian Swider, Beth Ayers McCague Family Professor.

The most difficult situation occurs, Swider and his colleagues found, is when supervisors expect higher levels of perfectionism than employees expect from themselves. In these cases, employees reported greater uncertainty about their roles, along with worse work outcomes including higher burnout and lower job satisfaction.

“If you’re an employee who struggles with perfectionism at work, our findings suggest that understanding your supervisor’s expectations may be just as important as managing your own tendencies towards perfectionism,” Swider said. “Talking to your supervisor about priorities, standards and how your performance will be evaluated can help reduce uncertainty and ensure you both share a clear understanding of what success looks like.”

The researchers have similar recommendations for employers: help your employees by clarifying expectations through regular feedback and performance conversations to reduce role ambiguity, as doing so can provide employees with a better understanding of role expectations and enhance mutual understanding of those standards.

The researchers also recommend that organizations should consider how employees and supervisors are paired, as mismatched expectations can increase stress, reduce job satisfaction and ultimately impact performance. 

The research, “The influence of employee-supervisor perfectionism (in)congruence on employees: a configurational approach,” is published in Organizational Behavior and Human Decision Processes

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Study shows scaling startups risk increasing gender gaps

Founders with HR‑related education counteract these challenges. In ventures led by founders with HR training, the odds of hiring a woman increase by more than 30 percent, and the odds of appointing a woman to a managerial role increase by 14 percent for the same level of scaling.  

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When startups scale quickly, founders often make hurried hiring decisions that unintentionally disadvantage women, according to new study from the Stockholm School of Economics in Sweden. The study shows how the pressures of rapid growth increase the likelihood that founders rely on mental shortcuts and make biased decisions. 

Drawing on large‑scale Swedish data, the study shows that scaling—when companies hire far more people than their usual growth trend would predict—puts pressure on founders to decide swiftly, which increases the use of mental shortcuts. These shortcuts can activate gender stereotypes, shaping who gets hired and who moves into managerial roles.  

“During those moments of rapid growth, even well‑intentioned leaders can fall back on familiar stereotypes when assessing who they believe is best suited for the role,” says Mohamed Genedy, co-author and Postdoctoral Fellow at the House of Innovation, Stockholm School of Economics. 

Reduced odds of hiring female managers 

His research analyzes more than 31,000 new ventures founded in Sweden between 2004 and 2018. It finds that in male‑led startups, scaling reduces the odds of hiring a woman by about 18 percent, and the odds of appointing a woman to a managerial position by 22 percent.  

These patterns emerge even in a highly gender‑equal national context, making the findings especially noteworthy.  

Crucially, the study reveals that founders with HR‑related education counteract these challenges. In ventures led by founders with HR training, the odds of hiring a woman increase by more than 30 percent, and the odds of appointing a woman to a managerial role increase by 14 percent for the same level of scaling.  

“When founders have experience with structured hiring practices, the gender gaps shrink, and in some cases even reverse,” Genedy says.  

“This shows that getting the basics of HR right early on really pays off. When things start moving fast, founders with HR knowledge are less likely to rely on biased instincts and more likely to hire from a broader talent pool.”  

Prior experience in companies with established HR practices also helps, though less so. It raises the likelihood of hiring women as the new ventures scale, but does not significantly affect managerial appointments. 

Differences persist in female-led ventures 

The study additionally shows that these patterns are not driven by founder gender alone. Even solo female‑led ventures display similar tendencies when scaling, though to a somewhat lesser degree.  

And in female‑dominated industries, scaling increases the hiring of women for regular roles but still reduces the likelihood that women are appointed into managerial positions.  

“When scaling accelerates, cognitive bias kicks in for everyone,” says Mohamed Genedy. “Female founders are not immune to these patterns.”  

Together, these results point to underlying cognitive mechanisms that shape decisions under time pressure.

The study, Scaling with Bias? The role of founders’ HR knowledge and experience in hiring and managerial appointments, was published in Human Resource Management.

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