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Clicks on a job site reveal hiring discrimination

Scientists have leveraged big data from recruitment platforms and machine learning to study hiring discrimination. They find that discrimination against immigrants depends, among other things, on the time of day, and that both men and women face discrimination. This type of discrimination violates the principle of equal opportunities. For those affected, this may have long-term disadvantages, such as longer unemployment or lower wages. That’s why it is crucial to understand who experiences discrimination and why. Foreign origin has a stronger negative impact towards noon and in the evening when recruiters review CVs faster. The research team collaborated with the State Secretariat for Economic Affairs (SECO) to gain access to anonymized data from Job-Room, one of the largest recruitment platforms in Switzerland. Job-Room contains profiles of more than 150,000 job seekers.

Swiss gov t expects economy to shrink at start of 2021

By Reuters Staff 1 Min Read ZURICH, Jan 26 (Reuters) - The Swiss economy is expected to contract during the first quarter of 2021 as the country deals with the latest lockdown restrictions introduced to counter the second wave of COVID-19, a government economist said on Tuesday. Swiss economic development will be “clearly negative in the first quarter” after a flat development at the end of 2020, Ronald Indergand, head of short time economic analyses at the State Secretariat for Economic Affairs (SECO), told the Reuters Economic Outlook Switzerland online event. “In the second quarter the bounce-back may be around the corner,” Indergand said, citing the roll out of vaccinations and warmer weather.

Foreigners face discrimination in online recruitment, study confirms

Foreigners face discrimination in online recruitment, study confirms The researchers found that time of day also mattered. Foreign jobseekers were less likely to be contacted if they sent their CV at lunchtime or in the evening. © Keystone / Christian Beutler With the help of machine learning, Swiss researchers have found that foreign jobseekers are on average 6.5% less likely to be contacted by recruiters than Swiss people with identical requirements. This content was published on January 21, 2021 - 16:48 January 21, 2021 - 16:48 ETH/jdp However, a studyExternal link published this week in science journal Nature, led by researchers from federal technology institute ETH Zurich and the KOF Economic Research Center, tracked the search behaviour of recruiters on employment websites and used machine learning to control for all relevant jobseeker characteristics that are visible to recruiters. 

How clicks on a job platform can reveal bias

Credit: ETH Zurich Education, professional skills and experience are the essential criteria for filling a position - or at least that is the expectation. The reality often looks different, as numerous studies have shown. When deciding whether to hire a candidate or not, gender, origin or ethnicity sometimes also play an important role; factors that say little about a candidate s suitability for a job. This type of discrimination violates the principle of equal opportunities. For those affected, this may have long-term disadvantages, such as longer unemployment or lower wages. This is why it is crucial to understand who is discriminated against, and why. The study conducted by Dominik Hangartner (Public Policy Group), Daniel Kopp and Michael Siegenthaler (both KOF Swiss Economic Institute) was supported by the Swiss National Science Foundation (SNSF) and has just been published in

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