Unbias - LinkedIn anonymiser for recruiters

An extension to anonymise LinkedIn profiles and searches to reduce the influence of unconscious bias on recruiters.

Unbias - LinkedIn anonymiser for recruiters

Extension stats

Users: 230
Rating: 2.80
(5)
Version: 0.0.0.7 (Last updated: 2019-12-24)
Creation date: 2019-12-24
Risk impact: High risk impact
Risk likelihood:
Manifest version: 2
Permissions:
  • declarativeContent
  • storage
  • tabs
  • *://*.linkedin.com/profile/*
  • *://*.linkedin.com/in/*
  • *://*.linkedin.com/recruiter/*
  • *://*.linkedin.com/vsearch/*
Size: 43.19K
URLs: Website

Other platforms

Not available on Android
Not available on Firefox
Not available on Edge
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Extension summary

Unbias hides faces and names from profiles, searches and projects on LinkedIn Recruiter and Recruiter Lite, to reduce the effects of unconscious bias on recruiters.

Why?

Unconscious (or implicit) bias is bias we are unaware of - it's outside our control, but affects our actions and decisions.

Studies show we have unconscious bias toward or against certain genders, ethnicities or visual traits. You can test your own unconscious biases with Harvard's Implicit Association Test. Goldin & Rouse found 'blind auditions' for orchestras increased the likelihood that a woman is selected by 30% to 60%. Unbias applies this concept of 'blind auditions' to applicant finding and filtering by hiding profile pictures.

In addition, studies have shown that we have biases based in names. Moss-Racusin et al. found, in a double-blind study of the the same application with typically male and female names, like James and Jane, that assessors rated James as significantly more competent and hireable than the (identical) Jane. The assessors also selected a higher starting salary and offered more career mentoring to James. And it didn't matter whether the assessor was a man or a woman - we are all affected by unconscious bias. Equally, Bertrand and Mullainathan found significant discrimination against African-American sounding names: White sounding names received 50 percent more callbacks for interviews. And this affected the benefits of a better resumé too - a higher quality resumé elicits 30 percent more callbacks for a White-sounding name, whereas for African American sounding names, it elicits a far smaller increase.

Recruiters use LinkedIn to find, shortlist and contact candidates. As LinkedIn displays both names and profile photos, recruiters are susceptible to this bias. It may affect whether or not they choose to shortlist or contact a candidate, and their overall perception of a candidate's ability, outside of the relevant facts about that candidate.

Unbias removes names and photos in both standard and recruiter account searches and profile views to help reduce the effects of unconscious bias. When you go to InMail a candidate, the name is visible within the message window.

Find out more at http://unbias.io

See more

User reviews

It does not longer work :(
by Marco Parigini, 2020-12-02

It doesn't work. Please fix it. This could be a very valuable tool!
by Catherine Vachon, 2017-09-27

This no longer works. It's not been updated in over a year, so not surprising really: I imagine LinkedIn tweak their mark-up all the time.
by Ben Poole, 2017-06-27
View all user reviews

Extension safety

Risk impact

Unbias - LinkedIn anonymiser for recruiters requires some sensitive permissions that could impact your browser and data security. Exercise caution before installing.

Risk likelihood

Unbias - LinkedIn anonymiser for recruiters may not be trust-worthy. Avoid installing if possible unless you really trust this publisher.

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