💻 computer science

From Influencers to Lecturers: Understanding Public Attitudes Toward Digital vs. Traditional Jobs

Through two experiments involving over 1,000 participants, this study reveals that digital jobs are perceived less favorably and as less hard-working than traditional professions due to factors like symbolic threat and lower perceived usefulness, with these negative attitudes varying based on individual characteristics such as age, political orientation, and openness to new experiences.

Original authors: Paul H. P. Hanel, Gabriel Lins de Holanda Coelho, Jennifer Haase

Published 2026-03-31

📖 6 min read🧠 Deep dive

CC BY 4.0

Original authors: Paul H. P. Hanel, Gabriel Lins de Holanda Coelho, Jennifer Haase

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

The Big Idea: The "New Job" Stigma

Imagine the world of work as a giant, bustling marketplace. For decades, this marketplace had familiar stalls: the baker, the teacher, the banker, and the news anchor. These are the "Established Jobs." Everyone knows what they do, how they do it, and why they matter.

Then, the internet arrived, and a new section of the market opened up: the "Digital Jobs." Here, you have the YouTuber, the Crypto investor, the OnlyFans creator, and the E-sports player. These are the "New Digital Jobs."

The Problem: Even though these new jobs are real, people seem to look down on them. The study found that when you ask people to rate a "Podcaster" (digital) versus a "TV Talk Show Host" (established), people rate the TV host much higher. They think the TV host works harder, is more useful to society, and is a "real" job, while the podcaster is seen as a hobby or a fluke.

The researchers wanted to know: Why do we feel this way? Is it because the digital jobs are actually worse, or is it just in our heads?

The Investigation: Two Experiments

The researchers (Hanel, Coelho, and Haase) ran two massive experiments with over 1,000 people in the UK. They played a game of "Spot the Difference."

They showed participants pairs of jobs that did almost the exact same thing, but one was "old school" and one was "digital."

Pair 1: A Footballer (playing on grass) vs. an E-sports Footballer (playing on a console).
Pair 2: A Stock Market Investor vs. a Bitcoin Investor.
Pair 3: A Personal Trainer (in a gym) vs. a Fitness Influencer (posting workout videos online).

The Result: In almost every single pair, the "Old School" version was rated as:

More Favorable: People liked them more.
Harder Working: People thought they sweated more and tried harder.
More Useful: People felt they contributed more to society.
Less Threatening: People felt they didn't challenge their values.

The Exception: The only time the digital job won was the Podcaster vs. Talk Show Host. People actually liked the podcaster more. Why? Because podcasting has become so normal and useful that it's no longer seen as "weird."

The "Why": Three Main Reasons (The Culprits)

The researchers used a mix of psychology and technology theories to explain why people dislike digital jobs. They found three main "culprits" driving this negativity:

1. The "Stranger Danger" Effect (Contact Theory)

Analogy: Think of a new neighbor moving in. If you've never seen them, you might be suspicious. If you see them every day, watering their plants and waving, you start to trust them.

The Finding: People have less "contact" with digital workers. You don't see a podcaster in your local grocery store; you only see them on a screen. Because we don't interact with them in real life, our brains treat them as "strangers," and we tend to be more critical of strangers than neighbors.

2. The "Is This Useful?" Test (Perceived Usefulness)

Analogy: Imagine you buy a fancy kitchen gadget that chops onions. If you think, "This saves me time and helps my family eat better," you love it. If you think, "This is just a toy that makes noise," you hate it.

The Finding: People judge digital jobs by asking, "How does this help society?"
- A Lecturer is seen as highly useful (teaching kids).
- An Adult Model or Crypto Trader is often seen as "useless" or even harmful to society.
- The study found that if people think a job is "useless," they automatically dislike the person doing it, regardless of how much money they make.

3. The "Value Clash" (Symbolic Threat)

Analogy: Imagine a club with strict rules: "You must wear a suit, work 9-to-5, and climb a ladder." Then, a new member joins wearing a hoodie, working from a beach, and making millions overnight. The old members feel threatened. They think, "If that is allowed, what does it say about our hard work?"

The Finding: Digital jobs often violate traditional values (like the "Protestant work ethic" of grinding in an office). People feel that these new jobs threaten their worldview. They think, "If being an influencer is a 'real job,' then my 40 years of hard work in an office feels less special."

The Surprising Twist: Who is to Blame?

You might think older people or conservative people would hate digital jobs the most. The study found something interesting:

Age didn't matter much: Even older people who are tech-savvy rated digital jobs lower. It wasn't just about "not understanding technology."
Politics mattered a little: Conservative people tended to dislike digital jobs more, likely because they value tradition and stability more.
The "Usefulness" Factor is King: No matter who you are, if you think a job is useful, you will like it. If you think it's useless, you will dislike it.

The Takeaway: What Can We Do?

The paper suggests that this negativity isn't just "hating on new things." It's a mix of not knowing these people (lack of contact) and not seeing their value (lack of usefulness).

How to fix it?

Show the Value: Digital workers need to explain how they help. Instead of just showing a lifestyle, show how they educate, entertain, or solve problems.
Humanize the Job: We need more "contact." When we see digital workers as real people with real struggles, not just avatars on a screen, our brains stop treating them as "threats."
Reframe the Narrative: Instead of saying "I'm an influencer," say "I'm a content creator who helps people learn."

In a nutshell: We are judging digital jobs by old rules. We need to update our mental software to realize that a job doesn't have to be in an office to be "real," and it doesn't have to be traditional to be "useful."

1. Problem Statement

The rapid expansion of digitalization has created a new class of professions (e.g., digital influencers, e-sport players, OnlyFans models, cryptocurrency investors) that exist entirely within digital ecosystems. Despite the necessity of digital skills in the modern workforce, anecdotal evidence and media discourse suggest a deep-seated societal stigma against these roles, often characterized by the perception that they are not "real jobs" or lack value.

The authors identify a theoretical gap: existing social psychological theories (e.g., Intergroup Threat Theory, Contact Theory) explain prejudice based on ethnicity or religion but have not been fully applied to occupational groups, particularly new digital ones. Furthermore, Information Systems (IS) theories, which focus on the utility of technology, have not been integrated with social psychology to explain attitudes toward the people performing digital work. The study aims to determine if digital jobs are perceived more negatively than matched traditional jobs and to identify the underlying mechanisms (mediators) and boundary conditions (moderators) driving these attitudes.

2. Methodology

The research employed a two-experiment design involving a total of 1,002 participants recruited from the UK via Prolific Academic.

Experimental Design

Structure: A $2 \times 9$ $2 \times 9$ mixed-design.
- Between-subjects factor: Job Condition (Established vs. Digital).
- Within-subjects factor: Job Type (9 specific pairs).
Stimuli: Nine pairs of job vignettes were created where the core function was identical, but the medium differed.
- Examples: Footballer vs. E-sports player; TV Presenter vs. YouTuber; Stock Market Investor vs. Bitcoin Investor; Lecturer vs. Online-only Lecturer.
- Controls: Vignettes explicitly stated that income allowed for a "good life" to control for economic status.
Procedure: Participants were randomly assigned to read either the "Established" or "Digital" version of the vignettes. They then rated the job and the person performing it.

Measures

Experiment 1 (N=502):
- Attitudes: A 7-item scale (e.g., "Is this a real job?", "How favorable?").
- Mediators: Single-item measures for Perceived Usefulness (value to society) and Contact (frequency of interaction).
- Moderators: Openness to experience, attitudes toward digitalization, political orientation, and age.
Experiment 2 (N=500):
- Replication & Expansion: Used the same design but with multi-item scales for robustness.
- New Mediators: Added Perceived Hard Work (symbolic racism dimension) and Symbolic Threat (threat to societal values/norms).
- Gender Manipulation: Vignette genders were swapped to test for gender stereotype confounds.

Analysis

Statistical Approach: Mixed-design ANOVAs to test main effects and interactions.
Mediation: Bootstrapped mediation analyses (5,000 resamples) to test indirect effects of job type on attitudes via mediators.
Moderation: Linear mixed-effects models to test if individual differences (openness, politics, age) moderated the effect of job type.

3. Key Results

Main Effects

Negative Bias: Across both experiments, participants held significantly more negative attitudes toward digital jobs compared to matched established jobs.
Job Hierarchy: Attitudes varied by profession. Lecturers were rated most positively, while Adult Models were rated most negatively.
Mediation: The negative attitude toward digital jobs was partially mediated by:
1. Lower Perceived Usefulness: Digital jobs were seen as adding less value to society.
2. Lower Contact: Participants reported less interaction with people in digital roles.
3. Lower Perceived Hard Work: Digital workers were viewed as less diligent (Exp 2).
4. Higher Symbolic Threat: Digital jobs were perceived as more threatening to societal values (Exp 2).

Specific Findings

The "Podcaster" Exception: In Experiment 2, the digital version of the "Interviewer" (Podcaster) was rated more favorably than the established version (Talk-show host), suggesting that information-heavy digital roles may have achieved normalization.
Predictors:
- Usefulness and Contact were the strongest predictors of attitudes in Experiment 1.
- Usefulness, Hard Work, and Symbolic Threat were the strongest predictors in Experiment 2.
Moderators:
- Contrary to expectations, Age did not significantly moderate the effect (older participants did not show disproportionately higher negativity toward digital jobs).
- Political Orientation showed inconsistent effects (significant in Exp 1, non-significant in Exp 2), suggesting complex interactions between conservatism, free-market beliefs, and tradition.
- Openness and Attitudes toward Digitalization generally predicted positive attitudes but did not significantly interact with the job type condition (the digital penalty existed regardless of these traits).

4. Key Contributions

Theoretical Integration

The study's primary contribution is the successful interdisciplinary synthesis of Social Psychology and Information Systems (IS).

Extending IS Theory: The authors adapt the concept of Perceived Usefulness (originally from the Technology Acceptance Model, which measures tool utility) to measure the social utility of a profession. They demonstrate that people judge the value of a job to society similarly to how they judge the value of a technology.
Extending Social Psychology: They apply Intergroup Threat Theory and Contact Theory to occupational groups, validating that these mechanisms explain prejudice against "outgroup" professions just as they do for ethnic or religious groups.

Empirical Evidence

Provided robust evidence that the "digital penalty" is not just about the technology itself but about the perception of the worker's contribution and effort.
Demonstrated that even when income and function are controlled, the medium of work (digital vs. physical/traditional) triggers a stigma.

5. Significance and Implications

Policy and Career Development: The findings suggest that the stigma surrounding digital jobs could hinder career development and mental health for workers in these fields. Reducing stigma is crucial for the integration of digital economies.
Intervention Strategies: The authors propose "implementable levers" to improve attitudes:
1. Reframing Usefulness: Digital creators should explicitly communicate the societal value or educational aspect of their content to counter the "uselessness" narrative.
2. Highlighting Hard Work: Framing digital work in terms of professional discipline and effort to align with traditional values.
3. Increasing Contact: Structured interactions (e.g., integrating digital creators into traditional teams) can demystify the work and reduce symbolic threat.
Future Research: The study highlights the need to investigate how these perceptions vary across cultures and to explore the specific conditions under which "usefulness" overrides "symbolic threat."

In conclusion, the paper argues that negative attitudes toward digital jobs are driven by a combination of low perceived social utility, lack of contact, and symbolic threats to traditional values, rather than just technological skepticism. Integrating IS concepts of utility into social psychological frameworks provides a more comprehensive model for understanding modern occupational stigma.