Imagine you are a freshly minted PhD looking for your first academic job. You have spent years on a single paper, and now your career hinges partly on whether the right people notice it. You could post about it on social media and hope it spreads. But does that kind of self-promotion actually change who gets hired, or is it just noise?
A team of economists set out to answer that question with a real-world experiment, and their results appear in PNAS. They found that when prominent scholars amplified a job candidate’s research online, the candidate’s work drew far more attention and, in some cases, the candidate landed more interviews, campus visits, and job offers.
The puzzle behind the clicks
Researchers have long noticed that academics who get attention on social media also tend to rack up more citations. But a correlation like that is hard to interpret. Maybe the scholars who promote their work online simply write better papers, or have better-connected mentors, or belong to richer professional networks. Any of those hidden factors could explain both the online buzz and the career success, making it impossible to know whether the social media activity itself does anything.
Jingyi Qiu of the University of Michigan and her colleagues, including Alain Cohn and Yan Chen at Michigan and Alvin E. Roth at Stanford, wanted to isolate the effect of the promotion itself. To do that, they needed an experiment where the only thing that differed between candidates was whether an influential scholar gave their work a public nudge.
A bit of background helps here. In economics, graduating PhD students compete in a structured hiring season built around a single “job market paper,” the centerpiece of their application. The process moves in stages: short interviews first, then “flyouts” (invitations to visit a campus and give a talk), and finally job offers. The authors also point to a persistent imbalance in the field. Women, for example, are less likely to share their own work online, and economists from underrepresented groups tend to have smaller social media followings. That raised a second question: could an outside boost help close some of those gaps?
Building a promotion machine
The team ran their experiment during the 2022 to 2023 hiring season. They started by identifying thousands of job candidates, then created a dedicated Twitter account called Econ Job Market Helper and recruited followers until it had more than 2,000, putting it above the 85th percentile of all Twitter users by follower count.
They also recruited 80 established economists to act as “influencers.” These were people with large followings (a median of about 13,450 followers) and substantial academic standing (a median of roughly 8,590 Google Scholar citations). A quick note on terms: a “quote-tweet” is a retweet with an added comment, which pushes the original post to the sharer’s own audience.
In the first phase, the researchers surveyed candidates and asked them to write a tweet about their own paper. They posted 590 of these tweets from the dedicated account. Their final analysis focused on 519 candidates who had also posted their papers online before the experiment began.
Then came the random assignment. Candidates were sorted into groups, and within carefully balanced trios, some were chosen to have their tweet quote-tweeted by a senior economist while others were not. To pick a good match, the team used a text-analysis technique called cosine similarity, comparing the wording of each candidate’s paper abstract to the abstracts of each influencer’s most-cited work, so the promoter would be someone working in a related area. The researchers reviewed the matches by hand and adjusted some of them.
Finally, they emailed the influencers their assignments, providing a neutral template they could use or rewrite. Compliance was high: 88 percent of the assigned tweets actually got quote-tweeted. Afterward, the team collected Twitter view and like counts, and surveyed candidates about how their job searches turned out.
What the amplification did
The effect on visibility was large. Tweets in the control group, posted from the account without any boost, averaged about 899 views. Tweets that got a quote-tweet from an established economist picked up roughly 3,970 additional views, a 441 percent increase. Likes followed a similar pattern, rising by about 303 percent. So a public endorsement from a recognized scholar dramatically widened a paper’s reach.
The career results were more mixed, and the authors are candid about that. At the interview stage, the treatment group did slightly better, but the difference was not statistically reliable. The researchers suggest a timing problem may be at play: many employers had already sent interview invitations by the time the promotion campaign ran, and invitations went out unusually early that year.
At the next stage, the picture sharpened. Candidates in the control group received an average of 5.4 flyout invitations. Those whose papers were promoted received about one more, roughly a 20 percent bump that did reach statistical significance. For job offers overall, the treatment group received about 0.4 more than the control group’s average of three, an effect the authors describe as only marginally significant.
The most striking result came when the team looked at gender. Women in the treatment group received 0.9 more job offers than women in the control group, who averaged three offers. Among men and others, the promotion showed no significant effect on offers. The authors interpret this as evidence that a boost from senior scholars may be especially helpful for women, who, as prior research suggests, promote their own work online less often.
Why reputation seems to matter more than reach
The team dug into what was driving the hiring effects, and their findings point toward the standing of the person doing the sharing rather than sheer audience size or enthusiastic language. Candidates matched with highly cited scholars received more flyouts than those matched with less-cited promoters. Candidates from top-30 institutions also did better.
Curiously, candidates assigned to influencers with smaller followings actually saw stronger results than those assigned to influencers with the largest followings. The authors suggest that scholars who tweet less often may command more focused attention from a relevant academic audience when they do post. They also found that the wording of the tweets, whether glowing or plain, made little difference. As the authors put it, “for academic social media, who shares the work matters more than how enthusiastically they share it.”
They tested whether a confidence boost might explain the results and found little support for that idea, partly because applications had already been submitted before the promotion began.
An experiment that drew its own scrutiny
The study generated public debate when an early version circulated, with some critics arguing that promoting certain candidates would unfairly disadvantage others, since hiring might be a fixed-size pie. The authors devote a section to this concern. They argue that academic job markets are not a zero-sum game, pointing out that many positions go unfilled each year even as qualified candidates remain unmatched, a sign of congestion and imperfect matching. In their view, helping employers notice suitable candidates could improve the matching process rather than simply reshuffle a fixed set of winners and losers. They also note that promoting students online is already common practice, so the experiment studied an existing channel rather than inventing a new one.
What it might mean in practice
The authors float a concrete idea: a professional body such as the American Economic Association could run an official account that matches each year’s candidates with established scholars willing to share their work. Such a system, they argue, could help level the playing field for candidates who lack well-connected advisors, much as existing job-market signaling tools have done.
A few caveats deserve emphasis. The sample fell short of the researchers’ original target, which limited their ability to detect smaller effects, and several results sit at the edge of statistical significance. The data covered a single hiring year, so the long-term career consequences remain unknown. The authors point to other work hinting at lasting benefits from online visibility, but they call for future research to track these effects over time, particularly for scholars from underrepresented groups.
