Center for Humans and Machines Publications 2020-2022/23

Journal Article

Leib, M., Köbis, N., Rilke, R. M., Hagens, M., & Irlenbusch, B. (2024). Corrupted by algorithms? How AI-generated and human-written advice shape (dis)honesty. The Economic Journal, 134(658), 766–784. https://doi.org/10.1093/ej/uead056

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Journal Article

Yu, H., Zhou, Y., & Nussberger, A.-M. (2024). Gratitude is morally sensitive. Personality and Social Psychology Bulletin, 50(3), 406–422. https://doi.org/10.1177/01461672221092273

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2023

Journal Article

Ben-Shachar, M. S., Patil, I., Thériault, R., Wiernik, B. M., & Lüdecke, D. (2023). Phi, Fei, Fo, Fum: Effect sizes for categorical data that use the chi‑squared statistic. Mathematics, 11(9), Article 1982. https://doi.org/10.3390/math11091982

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Journal Article

Dong, M., Kupfer, T. R., Yuan, S., & van Prooijen, J.-W. (2023). Being good to look good: Self-reported moral character predicts moral double standards among reputation-seeking individuals. British Journal of Psychology, 114(1), 244–261. https://doi.org/10.1111/bjop.12608

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Journal Article

Dorrough, A. R., Köbis, N., Irlenbusch, B., Shalvi, S., & Glöckner, A. (2023). Conditional bribery: Insights from incentivized experiments across 18 nations. Proceedings of the National Academy of Sciences of the United States of America, 120(18), Article e2209731120. https://doi.org/10.1073/pnas.220973112

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Journal Article

Feng, X., & Rutherford, A. (2023). The dynamic resilience of urban labour networks. Royal Society Open Science, 10(7), Article 230214. https://doi.org/10.1098/rsos.230214

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Journal Article

Huber, C., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Weitzel, U., Abellán, M., Adayeva, X., Ay, F. C., Barron, K., Berry, Z., Bönte, W., Brütt, K., Bulutay, M., Campos-Mercade, P., Cardella, E., Claassen, M. A., Cornelissen, G., Dawson, I. G. J., Delnoij, J., Demiral, E. E., Dimant, E., Doerflinger, J. T., Dold, M., Emery, C., Fiala, L., Fiedler, S., Freddi, E., Fries, T., Gasiorowska, A., Glogowsky, U., Gorny, P. M., Gretton, J. D., Grohmann, A., Hafenbrädl, S., Handgraaf, M., Hanoch, Y., Hart, E., Hennig, M., Hudja, S., Hütter, M., Hyndman, K., Ioannidis, K., Isler, O., Jeworrek, S., Jolles, D., Juanchich, M., Raghabendra , P. K. C., Khadjavi, M., Kugler, T., Li, S., Lucas, B., Mak, V., Mechtel, M., Merkle, C., Meyers, E. A., Mollerstrom, J., Nesterov, A., Neyse, L., Nieken, P., Nussberger, A.-M., Palumbo, H., Peters, K., Pirrone, A., Qin, X., Rahal, R. M., Rau, H., Rincke, J., Ronzani, P., Roth, Y., Saral, A. S., Schmitz, J., Schneider, F., Schram, A., Schudy, S., Schweitzer, M. E., Schwieren, C., Scopelliti, I., Sirota, M., Sonnemans, J., Soraperra, I., Spantig, L., Steimanis, I., Steinmetz, J., Suetens, S., Theodoropoulou, A., Urbig, D., Vorlaufer, T., Waibel, J., Woods, D., Yakobi, O., Yilmaz, O., Zaleskiewicz, T., Zeisberger, S., & Holzmeister, F. (2023). Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs. Proceedings of the National Academy of Sciences of the United States of America, 120(23), Article e2215572120. https://doi.org/10.1073/pnas.2215572120

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Journal Article

Li, X., Wei, W., Zhang, R., Shi, Z., Zheng, Z., & Feng, X. (2023). Representation learning of enhanced graphs using random walk graph convolutional network. ACM Transactions on Intelligent Systems and Technology, 14(3), Article 46. https://doi.org/10.1145/3582841

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Journal Article

Müller, T. F., Brinkmann, L., Winters, J., & Pescetelli, N. (2023). Machine impostors can avoid human detection and interrupt the formation of stable conventions by imitating past interactions: A minimal Turing test. Cognitive Science, 47(4), Article e13288. https://doi.org/10.1111/cogs.13288

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Journal Article

Pang, B., Wei, W., Li, X., Feng, X., & Li, C. (2023). A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding. Engineering Applications of Artificial Intelligence, 126, Part A, Article 106849. https://doi.org/10.1016/j.engappai.2023.106849

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Journal Article

Ruskeepää, H., Ferreira, L. N., Ghorbani, M. A., Kahya, E., Golmohammadi, G., & Karimi, V. (2023). Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river. Stochastic Environmental Research and Risk Assessment, 37, 2739–2756. https://doi.org/10.1007/s00477-023-02416-1

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Journal Article

Sorokowska, A., Kowal, M., Saluja, S., Aavik, T., Alm, C., Anjum, A., Asao, K., Batres, C., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Carrier, A., Cetinkaya, H., Conroy-Beam, D., Cueto, R. M., Czub, M., Dural, S., Espinosa, A., Esteves, C. S., Frackowiak, T., Contreras-Garduño, J., Guemaz, F., Hromatko, I., Iskra, H., Jiang, F., Kafetsios, K., Kavcic, T., Kervyn, N., Köbis, N. C., Kostić, A., Láng, A., Lindholm, T., Manesi, Z., Meskó, N., Misra, G., Monaghan, C., Natividade, J. C., Nizharadze, G., Oberzaucher, E., Oleszkiewicz, A., Pagani, A. F., Pakalniskiene, V., Parise, M., Pejičić, M., Pisanski, A., Pisanski, K., Popa, C., Prokop, P., Sargautyte, R., Sharad, S., Simonetti, F., Sorokowski, P., Stefanczyk, M. M., Szagdaj, A., Tadinac, M., González, K. U., Uhryn, O., Vauclair, C.-M., Yoo, G., Zupančič, M., & Croy, I. (2023). Love and affectionate touch toward romantic partners all over the world. Scientific Reports, 13, Article 5497. https://doi.org/10.1038/s41598-023-31502-1

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Journal Article

Sorokowski, P., Kowal, M., Sternberg, R. J., Aavik, T., Akello, G., Alhabahba, M. M., Alm, C., Amjad, N., Anjum, A., Asao, K., Atama, C. S., Duyar, D. A., Ayebare, R., Conroy‑Beam, D., Bendixen, M., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Carrier, A., Cetinkaya, H., Croy, I., Cueto, R. M., Czub, M., Dronova, D., Dural, S., Duyar, I., Ertugrul, B., Espinosa, A., Estevan, I., Esteves, C. S., Frackowiak, T., Garduño, J. C., González, K. U., Guemaz, F., Halamová, M., Herak, I., Horvat, M., Hromatko, I., Hui, C. M., Jaafar, J. L., Jiang, F., Kafetsios, K., Kavčič, T., Kennair, L. E. O., Kervyn, N., Ha, T. T. K., Khilji, I. A., Köbis, N., Kostic, A., Lan, H. M., Láng, A., Lennard, G. R., León, E., Lindholm, T., Linh, T. T., Lopez, G., Luot, N. V., Mailhos, A., Manesi, Z., Martinez, R., McKerchar, S. L., Meskó, N., Pejičić, M., Misra, G., Monaghan, C., Mora, E. C., & Moya‑Garófano, A. (2023). Modernization, collectivism, and gender equality predict love experiences in 45 countries. Scientific Reports, 13, Article 773. https://doi.org/10.1038/s41598-022-26663-4

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Journal Article

von Schenk, A., Klockmann, V., & Köbis, N. (2023). Social preferences toward humans and machines: A systematic experiment on the role of machine payoffs. Perspectives on Psychological Science. Advance online publication. https://doi.org/10.1177/17456916231194949

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Journal Article

Wei, W., & Feng, X. (2023). Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space. Applied Mathematics and Computation, 458, Article 128264. https://doi.org/10.1016/j.amc.2023.128264

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2022

Journal Article

Awad, E., Bago, B., Bonnefon, J.-F., Christakis, N. A., Rahwan, I., & Shariff, A. (2022). Polarized citizen preferences for the ethical allocation of scarce medical resources in 20 countries. MDM Policy & Practice, 7(2). https://doi.org/10.1177/23814683221113573

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Journal Article

Awad, E., Levine, S., Anderson, M., Anderson, S. L., Conitzer, V., Crockett, M. J., Everett, J. A. C., Evgeniou, T., Gopnik, A., Jamison, J. C., Kim, T. W., Liao, S. M., Meyer, M. N., Mikhail, J., Opoku-Agyemang, K., Schaich Borg, J., Schroeder, J., Sinnott-Armstrong, W., Slavkovik, M., & Tenenbaum, J. B. (2022). Computational ethics. Trends in Cognitive Sciences, 26(5), 388–405. https://doi.org/10.1016/j.tics.2022.02.009

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Journal Article

Belova, A., Gould, C. A., Munson, K., Howell, M., Trevisan, C., Obradovich, N., & Martinich, J. (2022). Projecting the suicide burden of climate change in the United States. GeoHealth, 6(5), Article e2021GH000580. https://doi.org/10.1029/2021GH000580

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Journal Article

Brinkmann, L., Gezerli, D., Kleist, K. V., Müller, T. F., Rahwan, I., & Pescetelli, N. (2022). Hybrid social learning in human-algorithm cultural transmission. Philosophical Transactions of the Royal Society of London: A, Mathematical, Physical and Engineering Sciences, 380(2227), Article 20200426. https://doi.org/10.1098/rsta.2020.0426

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Journal Article

Chen, H. C., Li, X., Frank, M., Qin, X., Xu, W., Cebrian, M., & Rahwan, I. (2022). Automation impacts on China’s polarized job market. Journal of Computational Social Science, 5, 517–535. https://doi.org/10.1007/s42001-021-00134-8

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Journal Article

Czaplicka, A., Charalambous, C., Toral, R., & Miguel, M. S. (2022). Biased-voter model: How persuasive a small group can be? Chaos, Solitons, & Fractals, 161, Article 112363. https://doi.org/10.1016/j.chaos.2022.112363

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Journal Article

Dong, M., van Prooijen, J.-W., & van Lange, P. A. M. (2022). Strategic exploitation by higher-status people incurs harsher third-party punishment. Social Psychology, 53(4), 209–220. https://doi.org/10.1027/1864-9335/a000493

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Journal Article

Dong, M., van Prooijen, J.-W., Wu, S., & van Lange, P. A. M. (2022). Culture, status, and hypocrisy: High-status people who don't practice what they preach are viewed as worse in the United States than China. Social Psychological and Personality Science, 13(1), 60–69. https://doi.org/10.1177/1948550621990451

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Journal Article

Klockmann, V., von Schenk, A., & Villeval, M. C. (2022). Artificial intelligence, ethics, and intergenerational responsibility. Journal of Economic Behavior & Organization, 203, 284–317. https://doi.org/10.1016/j.jebo.2022.09.010

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Journal Article

Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4, 418–424. https://doi.org/10.1038/s42256-022-00489-1

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Journal Article

Liu, C., Xie, Y., Hao, Y., Zhang, W., Yang, L., Bu, J., Wei, Z., Wu, H., Pescetelli, N., & Zhang, X. (2022). Using multisession tDCS stimulation as an early intervention on memory bias processing in subthreshold depression. Psychophysiology, 60(1), Article e14148. https://doi.org/10.1111/psyp.14148

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Journal Article

Minor, K., Bjerre-Nielsen, A., Jonasdottir, S. S., Lehmann, S., & Obradovich, N. (2022). Rising temperatures erode human sleep globally. One Earth, 5(5), 534–549. https://doi.org/10.1016/j.oneear.2022.04.008

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Journal Article

Morin, O., Müller, T. F., Morisseau, T., & Winters, J. (2022). Cultural evolution of precise and agreed-upon semantic conventions in a multiplayer gaming app. Cognitive Science, 46(2), Article e13113. https://doi.org/10.1111/cogs.13113

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Journal Article

Nussberger, A.-M., Luo, L., Celis, L. E., & Crockett, M. J. (2022). Public attitudes value interpretability but prioritize accuracy in artificial intelligence. Nature Communications, 13, Article 5821. https://doi.org/10.1038/s41467-022-33417-3

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Journal Article

Obradovich, N., & Minor, K. (2022). Identifying and preparing for the mental health burden of climate change [Editorial]. JAMA Psychiatry, 79(4), 285–286. https://doi.org/10.1001/jamapsychiatry.2021.4280

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Journal Article

Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2022). Expanding the measurement of culture with a sample of two billion humans. Journal of the Royal Society Interface, 19(190), Article 20220085. https://doi.org/10.1098/rsif.2022.0085

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Journal Article

Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Bots influence opinion dynamics without direct human-bot interaction: The mediating role of recommender systems. Applied Network Science, 7, Article 46. https://doi.org/10.1007/s41109-022-00488-6

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Journal Article

Pescetelli, N., Reichert, P., & Rutherford, A. (2022). A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams. PLoS ONE, 17(8), Article e0272168. https://doi.org/10.1371/journal.pone.0272168

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Journal Article

Romanello, M., Di Napoli, C., Drummond, P., Green, C., Kennard, H., Lampard, P., Scamman, D., Arnell, N., Ayeb-Karlsson, S., Berrang Ford, L., Belesova, K., Bowen, K., Cai, W., Callaghan, M., Campbell-Lendrum, D., Chambers, J., van Daalen, K. R., Dalin, C., Dasandi, N., Dasgupta, S., Davies, M., Dominguez-Salas, P., Dubrow, R., Ebi, K. L., Eckelman, M., Ekins, P., Escobar, L. E., Georgeson, L., Graham, H., Gunther, S. H., Hamilton, I., Hang, Y., Hänninen, R., Hartinger, S., He, K., Hess, J. J., Hsu, S.-C., Jankin, S., Jamart, L., Jay, O., Kelman, I., Kiesewetter, G., Kinney, P., Kjellstrom, T., Kniveton, D., Lee, J. K. W., Lemke, B., Liu, Y., Liu, Z., Lott, M., Lotto Batista, M., Lowe, R., MacGuire, F., Odhiambo Sewe, M., Martinez-Urtaza, J., Maslin, M., McAllister, L., McGushin, A., McMichael, C., Mi, Z., Milner, J., Minor, K., Minx, J. C., Mohajeri, N., Moradi-Lakeh, M., Morrissey, K., Munzert, S., Murray, K. A., Neville, T., Nilsson, M., Obradovich, N., O’Hare, M. B., Oreszczyn, T., Otto, M., Owfi, F., Pearman, O., Rabbaniha, M., Robinson, E. J. Z., Rocklöv, J., Salas, R. N., Semenza, J. C., Sherman, J. D., Shi, L., Shumake-Guillemot, J., Silbert, G., Sofiev, M., Springmann, M., Stowell, J., Tabatabaei, M., Taylor, J., Triñanes, J., Wagner, F., Wilkinson, P., Winning, M., Yglesias-González, M., Zhang, S., Gong, P., Montgomery, H., & Costello, A. (2022). The 2022 report of the Lancet Countdown on health and climate change: Health at the mercy of fossil fuels. The Lancet, 400(10363), 1619–1654. https://doi.org/10.1016/S0140-6736(22)01540-9

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Journal Article

Serna, I., Morales, A., Fierrez, J., & Obradovich, N. (2022). Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning. Artificial Intelligence, 305, Article 103682. https://doi.org/10.1016/j.artint.2022.103682

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Journal Article

Wang, J., Fan, Y., Palacios, J., Chai, Y., Guetta-Jeanrenaud, N., Obradovich, N., Zhou, C., & Zheng, S. (2022). Global evidence of expressed sentiment alterations during the COVID-19 pandemic. Nature Human Behaviour, 6, 349–358. https://doi.org/10.1038/s41562-022-01312-y

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Journal Article

Waniek, M., Holme, P., Farrahi, K., Emonet, R., Cebrian, M., & Rahwan, T. (2022). Trading contact tracing efficiency for finding patient zero. Scientific Reports, 12, Article 22582. https://doi.org/10.1038/s41598-022-26892-7

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2021

Journal Article

Alfonseca, M., Cebrian, M., Anta, A. F., Coviello, L., Abeliuk, A., & Rahwan, I. (2021). Superintelligence cannot be contained: Lessons from computability theory. Journal of Artificial Intelligence Research, 70, 65–76. https://doi.org/10.1613/jair.1.12202

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Journal Article

Avraam, D., Obradovich, N., Pescetelli, N., Cebrian, M., & Rutherford, A. (2021). The network limits of infectious disease control via occupation-based targeting. Scientific Reports, 11, Article 22855. https://doi.org/10.1038/s41598-021-02226-x

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Journal Article

Bassett, J., Gethmann, J., Blunk, P., Conraths, F. J., & Hövel, P. (2021). Individual-based model for the control of Bovine Viral Diarrhea spread in livestock trade networks. Journal of Theoretical Biology, 527, Article 110820. https://doi.org/10.1016/j.jtbi.2021.110820

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Journal Article

Bassett, J., Pescetelli, N., Rutherford, A., & Cebrian, M. (2021). Time-critical decentralised situational awareness in emergencies: An adversarial biosecurity scenario. Applied Network Science, 6, Article 59. https://doi.org/10.1007/s41109-021-00402-6

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Journal Article

Cebrian, M. (2021). The past, present and future of digital contact tracing. Nature Electronics, 4, 2–4. https://doi.org/10.1038/s41928-020-00535-z

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Journal Article

Cebrian, M. (2021). A time-critical crowdsourced computational search for the origins of COVID-19. Nature Electronics, 4, 450–451. https://doi.org/10.1038/s41928-021-00619-4

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Journal Article

Chen, H., Kryvasheyeu, Y., Xu, W., Huang, Y., Deng, J., Ren, S., Li, X., Rahwan, I., & Cebrian, M. (2021). Evolution of urban forms observed from space. EPJ Data Science, 10, Article 27. https://doi.org/10.1140/epjds/s13688-021-00283-w

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Journal Article

Cuomo, R. E., Purushothaman, V. L., Li, J., Bardier, C., Nali, M., Shah, N., Obradovich, N., Yang, J., & Mackey, T. K. (2021). Characterizing self-reported tobacco, vaping, and marijuana-related tweets geolocated for California college campuses. Frontiers in Public Health, 9, Article 628812. https://doi.org/10.3389/fpubh.2021.628812

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Journal Article

Dhaliwal, N. A., Patil, I., & Cushman, F. (2021). Reputational and cooperative benefits of third-party compensation. Organizational Behavior and Human Decision Processes, 164, 27–51. https://doi.org/10.1016/j.obhdp.2021.01.003

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pre-print

Journal Article

Dong, M., Palomo‐Vélez, G., & Wu, S. (2021). Reducing the gap between pro‐environmental disposition and behavior: The role of feeling power. Journal of Applied Social Psychology, 51(3), 262–272. https://doi.org/10.1111/jasp.12733

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Journal Article

Dong, M., Spadaro, G., Yuan, S., Song, Y., Ye, Z., & Ren, X. (2021). Self-interest bias in the COVID-19 pandemic: A cross-cultural comparison between the United States and China. Journal of Cross-Cultural Psychology, 52(7), 663–679. https://doi.org/10.1177/00220221211025739

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Journal Article

Dong, M., van Prooijen, J.-W., & van Lange, P. A. M. (2021). Calculating Hypocrites Effect: Moral judgments of word-deed contradictory transgressions depend on targets' competence. Journal of Theoretical Social Psychology, 5(4), 489–501. https://doi.org/10.1002/jts5.113

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Journal Article

Ferreira, L. N., Hong, I., Rutherford, A., & Cebrian, M. (2021). The small-world network of global protests. Scientific Reports, 11, Article 19215. https://doi.org/10.1038/s41598-021-98628-y

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Journal Article

Fowler, J. H., Hill, S. J., Levin, R., & Obradovich, N. (2021). Stay-at-home orders associate with subsequent decreases in COVID-19 cases and fatalities in the United States. PLoS ONE, 16(6), Article e0248849. https://doi.org/10.1371/journal.pone.0248849

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Journal Article

Groh, M., Epstein, Z., Obradovich, N., Cebrian, M., & Rahwan, I. (2021). Human detection of machine-manipulated media. Communications of the ACM, 64(10), 40–47. https://doi.org/10.1145/3445972

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Journal Article

Hong, I., Rutherford, A., & Cebrian, M. (2021). Social mobilization and polarization can create volatility in COVID‑19 pandemic control. Applied Network Science, 6, Article 11. https://doi.org/10.1007/s41109-021-00356-9

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Journal Article

Klockmann, V., von Schenk, A., & von Siemens, F. A. (2021). Division of labor and the organization of knowledge in production: A laboratory experiment. Games and Economic Behavior, 130, 196–210. https://doi.org/10.1016/j.geb.2021.08.002

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Journal Article

Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals. Nature Human Behaviour, 5(6), 679–685. https://doi.org/10.1038/s41562-021-01128-2

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Journal Article

Köbis, N. C., Doležalová, B., & Soraperra, I. (2021). Fooled twice: People cannot detect deepfakes but think they can. iScience, 24(11), Article 103364. https://doi.org/10.1016/j.isci.2021.103364

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Journal Article

Köbis, N., & Mossink, L. D. (2021). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in Human Behavior, 114, Article 106553. https://doi.org/10.1016/j.chb.2020.106553

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Journal Article

Kwon, O.-H., Hong, I., Yang, J., Wohn, D. Y., Jung, W.-S., & Cha, M. (2021). Urban green space and happiness in developed countries. EPJ Data Science, 10, Article 28. https://doi.org/10.1140/epjds/s13688-021-00278-7

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Journal Article

Laakasuo, M., Palomäki, J., & Köbis, N. (2021). Moral uncanny valley: A robot’s appearance moderates how its decisions are judged. International Journal of Social Robotics, 13, 1679–1688. https://doi.org/10.1007/s12369-020-00738-6

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Journal Article

Leib, M., Köbis, N., Soraperra, I., Weisel, O., & Shalvi, S. (2021). Collaborative dishonesty: A meta-analytic review. Psychological Bulletin, 147(12), 1241–1268. https://doi.org/10.1037/bul0000349

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Journal Article

Li, C., Wei, W., Feng, X., & Liu, J. (2021). Research of motif-based similarity for link prediction problem. IEEE Access, 9, 66636–66645. https://doi.org/10.1109/ACCESS.2021.3077016

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Journal Article

Li, X., Wei, W., Feng, X., Liu, X., & Zheng, Z. (2021). Representation learning of graphs using graph convolutional multilayer networks based on motifs. Neurocomputing, 464, 218–226. https://doi.org/10.1016/j.neucom.2021.08.028

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Journal Article

Ligo, A. K., Rand, K., Bassett, J., Galaitsi, S. E., Trump, B. D., Jayabalasingham, B., Collins, T., & Linkov, I. (2021). Comparing the emergence of technical and social sciences research in artificial intelligence. Frontiers in Computer Science, 3, Article 653235. https://doi.org/10.3389/fcomp.2021.653235

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Journal Article

Liu, X., Wei, W., Feng, X., Cao, X., & Sun, D. (2021). Graph classification based on skeleton and component features. Knowledge-Based Systems, 228, Article 107301. https://doi.org/10.1016/j.knosys.2021.107301

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Journal Article

Lüdecke, D., Ben-Shachar, M. S., Patil, I., Waggoner, P., & Makowski, D. (2021). performance: An R package for assessment, comparison and testing of statistical models. Journal of Open Source Software, 6(60), Article 3139. https://doi.org/10.21105/joss.03139

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Journal Article

Lüdecke, D., Patil, I., Ben-Shachar, M. S., Wiernik, B. M., Waggoner, P., & Makowski, D. (2021). see: An R package for visualizing statistical models. Journal of Open Source Software, 6(64), Article 3393. https://doi.org/10.21105/joss.03393

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Journal Article

Moro, E., Frank, M. R., Pentland, A., Rutherford, A., Cebrian, M., & Rahwan, I. (2021). Universal resilience patterns in labor markets. Nature Communications, 12, Article 1972. https://doi.org/10.1038/s41467-021-22086-3

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Müller, T. F., Winters, J., Morisseau, T., Noveck, I., & Morin , O. (2021). Colour terms: Native language semantic structure and artificial language structure formation in a large-scale online smartphone application. Journal of Cognitive Psychology, 33(4), 357–378. https://doi.org/10.1080/20445911.2021.1900199

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Patil, I. (2021). statsExpressions: R package for tidy dataframes and expressions with statistical details. Journal of Open Source Software, 6(61), Article 3236. https://doi.org/10.21105/joss.03236

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Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach. Journal of Open Source Software, 6(61), Article 3167. https://doi.org/10.21105/joss.03167

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Patil, I., Larsen, E. M., Kichic, R., & Gleichgerrcht, E. (2021). Moral cognition about harm in anxiety disorders: The importance of experienced emotion. Psychological Reports, 124(6), 2501–2523. https://doi.org/10.1177/0033294120964134

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Patil, I., & Trémolière, B. (2021). Reasoning supports forgiving accidental harms. Scientific Reports, 11, Article 14418. https://doi.org/10.1038/s41598-021-93908-z

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Pescetelli, N., Hauperich, A.-K., & Yeung, N. (2021). Confidence, advice seeking and changes of mind in decision making. Cognition, 215, Article 104810. https://doi.org/10.1016/j.cognition.2021.104810

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Pescetelli, N., Rutherford, A., & Rahwan, I. (2021). Modularity and composite diversity affect the collective gathering of information online. Nature Communications, 12, Article 3195. https://doi.org/10.1038/s41467-021-23424-1

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Pescetelli, N., & Yeung, N. (2021). The role of decision confidence in advice-taking and trust formation. Journal of Experimental Psychology: General, 150(3), 507–526. https://doi.org/10.1037/xge0000960

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Journal Article

Romanello, M., McGushin, A., Di Napoli, C., Drummond, P., Hughes, N., Jamart, L., Kennard, H., Lampard, P., Rodriguez, B. S., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Cai, W., Campbell-Lendrum, D., Capstick, S., Chambers, J., Chu, L., Ciampi, L., Dalin, C., Dasandi, N., Dasgupta, S., Davies, M., Dominguez-Salas, P., Dubrow, R., Ebi, K. L., Eckelman, M., Ekins, P., Escobar, L. E., Georgeson, L., Grace, D., Graham, H., Gunther, S. H., Hartinger, S., He, K., Heaviside, C., Hess, J., Hsu, S.-C., Jankin, S., Jimenez, M. P., Kelman, I., Kiesewetter, G., Kinney, P. L., Kjellstrom, T., Kniveton, D., Lee, J. K. W., Lemke, B., Liu, Y., Liu, Z., Lott, M., Lowe, R., Martinez-Urtaza, J., Maslin, M., McAllister, L., McMichael, C., Mi, Z., Milner, J., Minor, K., Mohajeri, N., Moradi-Lakeh, M., Morrissey, K., Munzert, S., Murray, K. A., Neville, T., Nilsson, M., Obradovich, N., Sewe, M. O., Oreszczyn, T., Otto, M., Owfi, F., Pearman, O., Pencheon, D., Rabbaniha, M., Robinson, E., Rocklov, J., Salas, R. N., Semenza, J. C., Sherman, J., Shi, L., Springmann, M., Tabatabaei, M., Taylor, J., Trinanes, J., Shumake-Guillemot, J., Vu, B., Wagner, F., Wilkinson, P., Winning, M., Yglesias, M., Zhang, S., Gong, P., Montgomery, H., Costello, A., & Hamilton, I. (2021). The 2021 report of the Lancet Countdown on health and climate change: Code red for a healthy future. The Lancet, 398(10311), 1619–1662. https://doi.org/10.1016/S0140-6736(21)01787-6

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Sarkadi, Ş., Rutherford, A., McBurney, P., Parsons, S., & Rahwan, I. (2021). The evolution of deception. Royal Society Open Science, 8, Article 201032. https://doi.org/10.1098/rsos.201032

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Saveski, M., Awad, E., Rahwan, I., & Cebrian, M. (2021). Algorithmic and human prediction of success in human collaboration from visual features. Scientific Reports, 11, Article 2756. https://doi.org/10.1038/s41598-021-81145-3

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Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2021). How safe is safe enough? Psychological mechanisms underlying extreme safety demands for self-driving cars. Transportation Research Part C: Emerging Technologies, 126, Article 103069. https://doi.org/10.1016/j.trc.2021.103069

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Sorokowska, A., Saluja, S., Sorokowski, P., Frąckowiak, T., Karwowski, M., Aavik, T., Akello, G., Alm, C., Amjad, N., Anjum, A., Asao, K., Atama, C. S., Duyar, D. A., Ayebare, R., Batres, C., Bendixen, M., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Cantarero, K., Carrier, A., Cetinkaya, H., Chabin, D., Conroy-Beam, D., Contreras-Graduño, J., Varella, M. A. C., Cueto, R. M., Czub, M., Dronova, D., Dural, S., Duyar, I., Ertugrul, B., Espinosa, A., Esteves, C. S., Guemaz, F., Hal'amová, M., Herak, I., Hromatko, I., Hui, C.-M., Jaafar, J. L., Jiang, F., Kafetsios, K., Kavcic, T., Kennair, L. E. O., Kervyn, N. O., Khilji, I. A., Köbis, N. C., Kostic, A., Láng, A., Lennard, G. R., León, E., Lindholm, T., Lopez, G., Manesi, Z., Martinez, R., McKerchar, S. L., Meskó, N., Misra, G., Monaghan, C., Mora, E. C., Moya-Garofano, A., Musil, B., Natividade, J. C., Nizharadze, G., Oberzaucher, E., Oleszkiewicz, A., Onyishi, I. E., Özener, B., Pagani, A. F., Pakalniskiene, V., Parise, M., Pazhoohi, F., Pejičić, M., Pisanski, A., Pisanski, K., Plohl, N., Popa, C., Prokop, P., Rizwan, M., Sainz, M., Salkičević, S., Sargautyte, R., Sarmany-Schuller, I., Schmehl, S., Shahid, A., Shaikh, R., Sharad, S., Siddiqui, R. S., Simonetti, F., Tadinac, M., González, K. U., Uhryn, O., Vauclair, C.-M., Araya, L. D. V., Widarini, D. A., Yoo, G., Zadeh, Z. F., Zat'ková, M., Zupančič, M., & Croy, I. (2021). Affective interpersonal touch in close relationships: A cross-cultural perspective. Personality and Social Psychology Bulletin, 47(12), 1705–1721. https://doi.org/10.1177/0146167220988373

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Xu, W., Qin, X., Li, X., Chen, H., Frank, M., Rutherford, A., Reeson, A., & Rahwan, I. (2021). Developing China's workforce skill taxonomy reveals extent of labor market polarization. Humanities and Social Sciences Communications, 8, Article 187. https://doi.org/10.1057/s41599-021-00862-2

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Yang, J. S., Cuomo, R. E., Purushothaman, V., Nali, M., Shah, N., Bardier, C., Obradovich, N., & Mackey, T. (2021). Campus smoking policies and smoking-related Twitter posts originating from California public universities: Retrospective study. JMIR Formative Research, 5(12), Article e33331. https://doi.org/10.2196/33331

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Awad, E., Dsouza, S., Bonnefon, J. F., Shariff, A., & Rahwan, I. (2020). Crowdsourcing moral machines. Communications of the ACM, 63(3), 48–55. https://doi.org/10.1145/3339904

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Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2020). Reply to: Life and death decisions of autonomous vehicles. Nature, 579(7797), E3–E5. https://doi.org/10.1038/s41586-020-1988-3

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Awad, E., Dsouza, S., Shariff, A., Rahwan, I., & Bonnefon, J.-F. (2020). Universals and variations in moral decisions made in 42 countries by 70,000 participants. Proceedings of the National Academy of Sciences of the United States of America, 117(5), 2332–2337. https://doi.org/10.1073/pnas.1911517117

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Awad, E., Dsouza, S., Shariff, A., Rahwan, I., & Bonnefon, J.-F. (2020). Reply to Claessens et al.: Maybe the footbridge sacrifice is indeed the only one that sends a negative social signal. Proceedings of the National Academy of Sciences of the United States of America, 117(24), 13205–13206. https://doi.org/10.1073/pnas.2007044117

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Awad, E., Levine, S., Kleiman-Weiner, M., Dsouza, S., Tenenbaum, J. B., Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2020). Drivers are blamed more than their automated cars when both make mistakes. Nature Human Behaviour, 4, 134–143. https://doi.org/10.1038/s41562-019-0762-8

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Balsa-Barreiro, J., Vié, A., Morales, A. J., & Cebrián, M. (2020). Deglobalization in a hyper-connected world. Palgrave Communications, 6, Article 28. https://doi.org/10.1057/s41599-020-0403-x

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Bonnefon, J.-F., & Rahwan, I. (2020). Machine thinking, fast and slow. Trends in Cognitive Sciences, 24(12), 1019–1027. https://doi.org/10.1016/j.tics.2020.09.007

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Cai, M., Shah, N., Li, J., Chen, W.-H., Cuomo, R. E., Obradovich, N., & Mackey, T. K. (2020). Identification and characterization of tweets related to the 2015 Indiana HIV outbreak: A retrospective infoveillance study. PLoS ONE, 15(8), Article e0235150. https://doi.org/10.1371/journal.pone.0235150

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Cuomo, R. E., Cai, M., Shah, N., Li, J., Chen, W.-H., Obradovich, N., & Mackey, T. K. (2020). Characterising communities impacted by the 2015 Indiana HIV outbreak: A big data analysis of social media messages associated with HIV and substance abuse. Drug and Alcohol Review, 39(7), 908–913. https://doi.org/10.1111/dar.13091

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Epstein, Z., Levine, S., Rand, D. G., & Rahwan, I. (2020). Who gets credit for AI-generated art? iScience, 23(9), Article 101515. https://doi.org/10.1016/j.isci.2020.101515

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Hong, I., Frank, M. R., Rahwan, I., Jung, W.-S., & Youn, H. (2020). The universal pathway to innovative urban economies. Science Advances, 6(34), Article eaba4934. https://doi.org/10.1126/sciadv.aba4934

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Lüdecke, D., Ben-Shachar, M. S., Patil, I., & Makowski, D. (2020). Extracting, computing and exploring the parameters of statistical models using R. Journal of Open Source Software, 5(53), Article 2445. https://doi.org/10.21105/joss.02445

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Moore, F. C., & Obradovich, N. (2020). Using remarkability to deﬁne coastal ﬂooding thresholds. Nature Communications, 11, Article 530. https://doi.org/10.1038/s41467-019-13935-3

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Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). BeeMe: Real-time internet control of situated human agents. Computer, 53(8), 49–58. https://doi.org/10.1109/MC.2020.2996824

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Pescetelli, N., & Yeung, N. (2020). The effects of recursive communication dynamics on belief updating. Proceedings of the Royal Society of London: B, Biological Sciences, 287(1931), Article 20200025. https://doi.org/10.1098/rspb.2020.0025

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Rahwan, I., Crandall, J. W., & Bonnefon, J.-F. (2020). Intelligent machines as social catalysts. Proceedings of the National Academy of Sciences of the United States of America, 117(14), 7555–7557. https://doi.org/10.1073/pnas.2002744117

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