This page lists my most representative work and the latest work in progress. 

Click on each one to see a summary. 

For a full list of publications, please visit my Google Scholar page. 

Science of science

A discipline-wide investigation of the replicability of Psychology papers over the past two decades

Youyou W., Yang, Y, Uzzi B. 

Proceedings of the National Academy of Sciences (2023)

[SUMMARY] Conjecture about the weak replicability in social sciences has made scholars eager to quantify the scale and scope of replication failure for a discipline. Yet small-scale manual replication methods alone are ill-suited to deal with this big data problem. Here, we conduct a discipline-wide replication census in science. Our sample (N = 14,126 papers) covers nearly all papers published in the six top-tier Psychology journals over the past 20 years.

Media bias in scientific reporting during the COVID-19 pandemic

Zhang Y., Youyou W.

Manuscript under review

Estimating the deep replicability of scientific findings using human and artificial intelligence

Youyou W., Yang, Y, Uzzi B

Proceedings of the National Academy of Sciences (2021) [PDF]

[SUMMARY] Scientists have invested enormous resources into replicating existing findings. One replication study on average consumes 300 days. In response, we propose a new machine learning approach of estimating a study’s replicability from the texts in its original manuscript using algorithms. This method could assess the likelihood of replication success for any study with a manuscript within seconds. 


Authentic self-expression on social media is associated with greater subjective well-being 

Bailey E.R., Matz S.C., Youyou W., Iyengar S.S.

Nature Communications (2020) [PDF]

[Summary] This research investigates the implication of expressing one’s authentic vs. idealized personality on social media. The degree of authenticity is measured by the proximity between an individual’s self-reported personality (true self) and the personality inferred from Facebook Likes and status updates (expressed self). Combining a lab experiment and online big data, we found that authentic self-expression is associated with greater well-being. 

Birds of a feather do flock together: Behavior-based personality-assessment method reveals personality similarity among couples and friends

Youyou W., Stillwell D., Schwartz, H.A., Kosinski, M. 

Psychological Science (2017) [PDF]

[SUMMARY] This project answers a classic question: Are romantic partners or friends similar in personality? Decades of research using self-reports of personality found no evidence. However, I identified a bias called the reference-group effect in the self-report method, which obscures similarity among close companions. To circumvent this bias, I assessed participants’ personalities based on their Facebook behaviours. The results showed that couples, or friends, are more similar in personality than previously thought.

Computer-based personality judgments are more accurate than those made by humans

*Youyou W., *Kosinski, M., Stillwell D. 

Proceedings of the National Academy of Sciences (2015) [PDF]

[SUMMARY] This research presents machine learning models that could infer people’s personalities from their social media profiles. Our analysis, based on a large database of Facebook users, showed that personality inferred from digital behaviours is more accurate than human judgements. This work demonstrates the potential of machine algorithms as psychological assessment tools. Algorithm-based methods are automated and therefore cheaper, more reliable, and more scalable.