LinkedIn Users Edit Past Jobs to Appear More Qualified

A prevalent trend on the professional networking platform LinkedIn, termed "LinkedIn time travel," involves users retrospectively altering their past job titles and descriptions to enhance their perceived qualifications for hiring managers. Research conducted by the National Bureau of Economic Research and Revelio Labs, which analyzed tens of millions of LinkedIn profiles, indicates this practice is widespread. The study found that 19.7% of users modify their job titles or descriptions long after their employment at a company has ended, with these changes occurring, on average, approximately four years after the fact. This trend is particularly pronounced among younger job seekers, with individuals under the age of 30 engaging in this profile editing 38.1% of the time, a behavior attributed to the challenging current job market for this demographic. The frequency of these edits also varies significantly by job type. Professionals in AI leadership, design, and qualitative research roles exhibit a higher propensity for "time traveling," with 56.6% of profiles in these areas showing such modifications. UX research jobs saw even more extensive editing, with 59.2% of profiles adjusted. However, individuals in tech-related jobs were identified as the top two categories of job seekers who frequently utilized this profile enhancement technique. By educational attainment, MBA holders are the most frequent participants, at 29.3%. Stanford University researcher Gideon Slocum Moore, a co-author of the paper, distinguishes "time traveling" from standard resume updates, such as those made after a layoff or periodic review. He explains that "time traveling" can involve the addition of responsibilities that were not actually part of the job during the employee's tenure. For instance, an individual who worked in recommendation systems at Amazon between 2013 and 2017 might retroactively add responsibilities related to emerging technologies or expanded project scopes that were not present during their original employment period. This practice is further exemplified by users incorporating AI-related keywords into their past job entries to align with the current demand for AI expertise, or conversely, removing DEI-related terms amid ongoing political scrutiny of diversity, equity, and inclusion initiatives. The research highlights that these modifications are not merely minor updates but can represent significant recharacterizations of past roles, aiming to create a more compelling and current professional narrative for potential employers.