Jørgensen, F. J., Nielsen, L. H., & Petersen, M. B. (2021). Willingness to Take the Booster Vaccine in a Nationally Representative Sample of Danes. PsyArXiv. https://doi.org/10.31234/osf.io/wurz8

Budak, C., Soroka, S., Singh, L., Bailey, M., Bode, L., Chawla, N., Davis-Kean, P., Choudhury, M. D., Veaux, R. D., Hahn, U., Jensen, B., Ladd, J., Mneimneh, Z., Pasek, J., Raghunathan, T., Ryan, R., Smith, N. A., Stohr, K., & Traugott, M. (2021). Modeling Considerations for Quantitative Social Science Research Using Social Media Data. PsyArXiv. https://doi.org/10.31234/osf.io/3e2ux

Devlin, H., & correspondent, H. D. S. (2022, January 21). Mixed messages? How end of Covid plan B could change behaviour in England. The Guardian. https://www.theguardian.com/world/2022/jan/21/mixed-messages-how-end-of-covid-plan-b-rules-could-change-behaviour

Giglietto, F., Farci, M., Marino, G., Mottola, S., Radicioni, T., & Terenzi, M. (2022). Mapping Nefarious Social Media Actors to Speed-up Covid-19 Fact-checking. SocArXiv. https://doi.org/10.31235/osf.io/6umqs

Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5

"The Guide to Social Science Data Preparation and Archiving is aimed at those engaged in the cycle of research, from applying for a research grant, through the data collection phase, and ultimately to preparation of the data for deposit in a public archive: " from tweet

Saner, E. (2021, October 26). The psychology of masks: Why have so many people stopped covering their faces? The Guardian. https://www.theguardian.com/world/2021/oct/26/the-great-cover-up-why-the-uk-stopped-wearing-face-masks

How online misinformation spreads. (n.d.). Retrieved October 19, 2021, from https://knowablemagazine.org/article/society/2021/how-online-misinformation-spreads

Mazumdar, S., & Thakker, D. (2020). Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks. Future Internet, 12(12), 210. https://doi.org/10.3390/fi12120210

https://www.mdpi.com/1999-5903/12/12/210

Burton, J. W., Cruz, N., & Hahn, U. (2021). Reconsidering evidence of moral contagion in online social networks. Nature Human Behaviour. https://doi.org/10.1038/s41562-021-01133-5

Tollefson, J. (2021, April 16). The race to curb the spread of COVID vaccine disinformation. Nature. https://www.nature.com/articles/d41586-021-00997-x?error=cookies_not_supported&code=0d3302c0-59b3-4065-8835-2a6d99ca35cc

Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667

Editorial Office · Rapid Reviews COVID-19. (n.d.). Rapid Reviews COVID-19. Retrieved 6 March 2021, from https://rapidreviewscovid19.mitpress.mit.edu/editors2

Greene, G. (1999). The Woman who Knew Too Much: Alice Stewart and the Secrets of Radiation. University of Michigan Press.

Aczel, Balazs, Marton Kovacs, and Rink Hoekstra. ‘The Role of Human Fallibility in Psychological Research: A Survey of Mistakes in Data Management’. PsyArXiv, 5 November 2020. https://doi.org/10.31234/osf.io/xcykz.

Computational Social Science to Address the (Post) COVID-19 Reality. (2020, June 27). https://www.youtube.com/watch?v=7d-Dq0e1JJ0&list=PL9UNgBC7ODr6eZkwB6W0QSzpDs46E8WPN&index=4

Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2020). Expanding the measurement of culture with a sample of two billion humans [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/qkf42

Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035

La, V.-P., Pham, T.-H., Ho, T. M., Hoàng, N. M., Linh, N. P. K., Vuong, T.-T., Nguyen, H.-K. T., Tran, T., Van Quy, K., Ho, T. M., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/cfw8x

COVID-19 Social Science Tracker - Google Sheets

Betsch, C. How behavioural science data helps mitigate the COVID-19 crisis. Nat Hum Behav (2020). https://doi.org/10.1038/s41562-020-0866-1

Yamada, Y. (2020). Micropublishing during and after the COVID-19 era [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8fum4

Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt

Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465

Borsboom, D., Blanken, T., Dablander, F., Tanis, C., van Harreveld, F., & van Mieghem, P. (2020). BECON methodology [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/53ey9

Retrieved June 10, 2020 from https://statmodeling.stat.columbia.edu/2020/05/12/2-perspectives-on-the-relevance-of-social-science-to-our-current-predicament-1-social-scientists-should-back-off-or-2-social-science-has-a-lot-to-offer/

Social Scientists Scramble to Study Pandemic, In Real Time. (n.d.). Association for Psychological Science - APS. Retrieved April 20, 2020, from https://www.psychologicalscience.org/news/social-scientists-scramble-to-study-pandemic-in-real-time.html

The Ethics of Online Research. (2018, August 30). Leeds University Library Blog. https://leedsunilibrary.wordpress.com/2018/08/30/the-ethics-of-online-research/

Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621

Brzezinski, A., Kecht, V., Van Dijcke, D., Wright, A. (2020) Belief in Science Influences Physical Distancing in Response to COVID-19 Lockdown Policies. BFI. https://bfi.uchicago.edu/working-paper/belief-in-science-influences-physical-distancing-in-response-to-covid-19-lockdown-policies/

Van den Akker, O., Weston, S. J., Campbell, L., Chopik, W. J., Damian, R. I., Davis-Kean, P., Hall, A. N., Kosie, J. E., Kruse, E. T., Olsen, J., Ritchie, S. J., Valentine, K. D., van ’t Veer, A. E., & Bakker, M. (2019). Preregistration of secondary data analysis: A template and tutorial [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/hvfmr

Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M., Fry, H., & Gog, J. R. (2020). Contacts in context: Large-scale setting-specific social mixing matrices from the BBC Pandemic project [Preprint]. Epidemiology. https://doi.org/10.1101/2020.02.16.20023754

Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, S2215036620301681. https://doi.org/10.1016/S2215-0366(20)30168-1