Kern Margaret L, McCarthy Paul X, Chakrabarty Deepanjan, Rizoiu Marian-Andrei
Melbourne Graduate School of Education, The University of Melbourne, Parkville, VIC 3010, Australia.
Ribit.net, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Eveleigh, NSW 2015, Australia.
Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26459-26464. doi: 10.1073/pnas.1917942116. Epub 2019 Dec 11.
Work is thought to be more enjoyable and beneficial to individuals and society when there is congruence between one's personality and one's occupation. We provide large-scale evidence that occupations have distinctive psychological profiles, which can successfully be predicted from linguistic information unobtrusively collected through social media. Based on 128,279 Twitter users representing 3,513 occupations, we automatically assess user personalities and visually map the personality profiles of different professions. Similar occupations cluster together, pointing to specific sets of jobs that one might be well suited for. Observations that contradict existing classifications may point to emerging occupations relevant to the 21st century workplace. Findings illustrate how social media can be used to match people to their ideal occupation.
当一个人的个性与职业相匹配时,工作被认为对个人和社会更具乐趣且有益。我们提供了大规模证据表明,职业具有独特的心理特征,这些特征可以从通过社交媒体不经意间收集到的语言信息中成功预测出来。基于代表3513种职业的128279名推特用户,我们自动评估用户个性,并直观地描绘出不同职业的个性特征。相似的职业聚集在一起,指出了一个人可能非常适合的特定工作类型。与现有分类相矛盾的观察结果可能指向与21世纪职场相关的新兴职业。研究结果说明了如何利用社交媒体将人与他们理想的职业相匹配。