Sabel, B. A., Knaack, E., Gigerenzer, G., & Bilc, M. (2023). Fake publications in biomedical science: Red-flagging method indicates mass production. MedRxiv, October 18, 2023. https://doi.org/10.1101/2023.05.06.23289563

Starke, C., Kieslich, K., Reichert, M., & Köbis, N. (2023). Algorithms against corruption: A conjoint study on designing automated twitter posts to encourage collective action. SocArXiv, January 13, 2023. https://doi.org/10.31235/osf.io/wf45t

Stock, F., Hertwig, R., & Lorenz-Spreen, P. (2023). An accuracy self-nudge to reduce misinformation sharing online. PsyArXiv, September 1, 2023. https://doi.org/10.31234/osf.io/awj97

Swanson, T., Teixeira, A. S., Richson, B. N., Li, Y., Hills, T., Forbush, K. T., Watson, D., Ciringione, L., & Stella, M. (2023). Cognitive networks and text analysis identify anxiety as a key dimension of psychological distress in suicide notes. PsyArXiv, December 28, 2023. https://doi.org/10.31234/osf.io/m2k67

Burton, J. W. (2023, September 21). Algorithmic amplification for collective intelligence [Blog post]. Knight First Amendement Institute. September 21, 2023, https://perma.cc/26GH-UWYB.

Pernau, M. (2023, January 24). Stones and Jinns: Time between layers of sedimentation and hauntology. Geschichtstheorie am Werk. January 24, 2023, https://gtw.hypotheses.org/11375.