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Home » Study: LinkedIn's A/B testing of its People You May Know algorithm, involving 4M+ users in 2015 and 16M+ in 2019, could have affected some users' livelihoods (Natasha Singer/New York Times)
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Study: LinkedIn's A/B testing of its People You May Know algorithm, involving 4M+ users in 2015 and 16M+ in 2019, could have affected some users' livelihoods (Natasha Singer/New York Times)

Business Circle TeamBy Business Circle TeamSeptember 26, 2022Updated:August 21, 2025No Comments1 Min Read
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Study: LinkedIn's A/B testing of its People You May Know algorithm, involving 4M+ users in 2015 and 16M+ in 2019, could have affected some users' livelihoods (Natasha Singer/New York Times)
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Study: LinkedIn's A/B testing of its People You May Know algorithm, involving 4M+ users in 2015 and 16M+ in 2019, could have affected some users' livelihoods (Natasha Singer/New York Times)

Natasha Singer / New York Instances:

Examine: LinkedIn’s A/B testing of its Folks You Might Know algorithm, involving 4M+ customers in 2015 and 16M+ in 2019, may have affected some customers’ livelihoods  —  A research that appeared again at these exams discovered that comparatively weak social connections had been extra useful to find jobs than stronger social ties.





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16M affected algorithm involving LinkedIn039s livelihoods Natasha People SingerNew study testing Times users users039 York
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