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1. Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Author

Ibrahim, Hazem, Liu, Fengyuan, Asim, Rohail, Battu, Balaraju, Benabderrahmane, Sidahmed, Alhafni, Bashar, Adnan, Wifag, Alhanai, Tuka, AlShebli, Bedoor, Baghdadi, Riyadh, Bélanger, Jocelyn J., Beretta, Elena, Celik, Kemal, Chaqfeh, Moumena, Daqaq, Mohammed F., Bernoussi, Zaynab El, Fougnie, Daryl, de Soto, Borja Garcia, Gandolfi, Alberto, Gyorgy, Andras, Habash, Nizar, Harris, J. Andrew, Kaufman, Aaron, Kirousis, Lefteris, Kocak, Korhan, Lee, Kangsan, Lee, Seungah S., Malik, Samreen, Maniatakos, Michail, Melcher, David, Mourad, Azzam, Park, Minsu, Rasras, Mahmoud, Reuben, Alicja, Zantout, Dania, Gleason, Nancy W., Makovi, Kinga, Rahwan, Talal, and Zaki, Yasir

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence
Abstract

The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the globe may utilize it to help with their school work -- a possibility that has sparked discussions on the integrity of student evaluations in the age of artificial intelligence (AI). To date, it is unclear how such tools perform compared to students on university-level courses. Further, students' perspectives regarding the use of such tools, and educators' perspectives on treating their use as plagiarism, remain unknown. Here, we compare the performance of ChatGPT against students on 32 university-level courses. We also assess the degree to which its use can be detected by two classifiers designed specifically for this purpose. Additionally, we conduct a survey across five countries, as well as a more in-depth survey at the authors' institution, to discern students' and educators' perceptions of ChatGPT's use. We find that ChatGPT's performance is comparable, if not superior, to that of students in many courses. Moreover, current AI-text classifiers cannot reliably detect ChatGPT's use in school work, due to their propensity to classify human-written answers as AI-generated, as well as the ease with which AI-generated text can be edited to evade detection. Finally, we find an emerging consensus among students to use the tool, and among educators to treat this as plagiarism. Our findings offer insights that could guide policy discussions addressing the integration of AI into educational frameworks., Comment: 17 pages, 4 figures

Published
2023
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4. COVID-19 stressors and health behaviors: A multilevel longitudinal study across 86 countries

Author

Keng, Shian-Ling, Stanton, Michael V., Haskins, LeeAnn B., Almenara, Carlos A., Ickovics, Jeannette, Jones, Antwan, Grigsby-Toussaint, Diana, Agostini, Maximilian, Bélanger, Jocelyn J., Gützkow, Ben, Kreienkamp, Jannis, Lemay, Edward P., Jr., vanDellen, Michelle R., Abakoumkin, Georgios, Abdul Khaiyom, Jamilah Hanum, Ahmedi, Vjollca, Akkas, Handan, Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Berisha Kida, Edona, Bernardo, Allan B.I., Buttrick, Nicholas R., Chobthamkit, Phatthanakit, Choi, Hoon–Seok, Cristea, Mioara, Csaba, Sára, Damnjanovic, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Douglas, Karen M., Enea, Violeta, Faller, Daiane G., Fitzsimons, Gavan, Gheorghiu, Alexandra, Gómez, Ángel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Jiang, Ding–Yu, Jovanović, Veljko, Kamenov, Željka, Kende, Anna, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nóra Anna, Lesmana, Cokorda Bagus Jaya, Louis, Winnifred R., Lueders, Adrian, Maj, Marta, Malik, Najma Iqbal, Martinez, Anton, McCabe, Kira O., Mehulić, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyúl, Boglárka, O'Keefe, Paul A., Osuna, Jose Javier Olivas, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas, Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta M., Schumpe, Birga M., Selim, Heyla A., Stroebe, Wolfgang, Sultana, Samiah, Sutton, Robbie M., Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien Anne, Van Lissa, Caspar J., Van Veen, Kees, Vázquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai–lan, Zand, Somayeh, Žeželj, Iris Lav, Zheng, Bang, Zick, Andreas, Zúñiga, Claudia, and Leander, N. Pontus

Published
2022
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5. Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

Author

Van Lissa, Caspar J., Stroebe, Wolfgang, vanDellen, Michelle R., Leander, N. Pontus, Agostini, Maximilian, Draws, Tim, Grygoryshyn, Andrii, Gützgow, Ben, Kreienkamp, Jannis, Vetter, Clara S., Abakoumkin, Georgios, Abdul Khaiyom, Jamilah Hanum, Ahmedi, Vjolica, Akkas, Handan, Almenara, Carlos A., Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Kida, Edona Berisha, Bernardo, Allan B.I., Buttrick, Nicholas R., Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sára, Damnjanović, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Douglas, Karen M., Enea, Violeta, Faller, Daiane Gracieli, Fitzsimons, Gavan J., Gheorghiu, Alexandra, Gómez, Ángel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Jiang, Ding-Yu, Jovanović, Veljko, Kamenov, Željka, Kende, Anna, Keng, Shian-Ling, Thanh Kieu, Tra Thi, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanksi, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nóra Anna, Lemay, Edward P., Jr., Jaya Lesmana, Cokorda Bagus, Louis, Winnifred R., Lueders, Adrian, Malik, Najma Iqbal, Martinez, Anton P., McCabe, Kira O., Mehulić, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyúl, Boglárka, O’Keefe, Paul A., Olivas Osuna, Jose Javier, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas H., Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta M., Schumpe, Birga M., Selim, Heyla A., Stanton, Michael Vicente, Sultana, Samiah, Sutton, Robbie M., Tseliou, Eleftheria, Utsugi, Akira, Anne van Breen, Jolien, Van Veen, Kees, Vázquez, Alexandra, Wollast, Robin, Wai-Lan Yeung, Victoria, Zand, Somayeh, Žeželj, Iris Lav, Zheng, Bang, Zick, Andreas, Zúñiga, Claudia, and Bélanger, Jocelyn J.

Published
2022
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6. Concern with COVID-19 pandemic threat and attitudes towards immigrants: The mediating effect of the desire for tightness

Author

Mula, Silvana, Di Santo, Daniela, Resta, Elena, Bakhtiari, Farin, Baldner, Conrad, Molinario, Erica, Pierro, Antonio, Gelfand, Michele J., Denison, Emmy, Agostini, Maximilian, Bélanger, Jocelyn J., Gützkow, Ben, Kreienkamp, Jannis, Abakoumkin, Georgios, Abdul Khaiyom, Jamilah Hanum, Ahmedi, Vjollca, Akkas, Handan, Almenara, Carlos A., Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Kida, Edona Berisha, Bernardo, Allan B.I., Buttrick, Nicholas R., Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sára, Damnjanovic, Kaja, Danyliuk, Ivan, Dash, Arobindu, Douglas, Karen M., Enea, Violeta, Faller, Daiane Gracieli, Fitzsimons, Gavan J., Gheorghiu, Alexandra, Gómez, Ángel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Jiang, Ding-Yu, Jovanović, Veljko, Kamenov, Željka, Kende, Anna, Keng, Shian-Ling, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nóra Anna, Lemay, Edward P., Jr, Lesmana, Cokorda Bagus Jaya, Louis, Winnifred R., Lueders, Adrian, Malik, Najma Iqbal, Martinez, Anton, McCabe, Kira O., Mehulić, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Moyano, Manuel, Muhammad, Hayat, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyúl, Boglárka, O'Keefe, Paul A., Olivas Osuna, Jose Javier, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Rees, Jonas H., Reitsema, Anne Margit, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta, Schumpe, Birga Mareen, Selim, Heyla A., Stanton, Michael Vicente, Stroebe, Wolfgang, Sultana, Samiah, Sutton, Robbie M., Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien Anne, van Lissa, Caspar J., Van Veen, Kees, vanDellen, Michelle R., Vázquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-lan, Zand, Somayeh, Žeželj, Iris Lav, Zheng, Bang, Zick, Andreas, Zúñiga, Claudia, and Leander, N. Pontus

Published
2022
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7. Intentions to be vaccinated against COVID-19: The role of prosociality and conspiracy beliefs across 20 countries

Author

Enea, Violeta, Eisenbeck, Nikolett, Carreno, David F., Douglas, Karen M., Sutton, Robbie M., Agostini, Maximilian, Belanger, Jocelyn J., Gutzkow, Ben, Kreienkamp, Jannis, Abakoumkin, Georgios, Khaiyom, Jamilah Hanum Abdul, Ahmedi, Vjollca, Akkas, Handan, Almenara, Carlos A., Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Kida, Edona Berisha, Bernardo, Allan B., Buttrick, Nicholas R., Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sara, Damnjanovic, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Faller, Daiane Gracieli, Fitzsimons, Gavan, Gheorghiu, Alexandra, Gomez, Angel, Grzymala-Moszczynska, Joanna, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Jiang, Ding-Yu, Jovanovic, Veljko, Kamenov, Zeljka, Kende, Anna, Keng, Shian-Ling, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nora Anna, Lemay, Edward P., Lesmana, Cokorda Bagus Jaya, Louis, Winnifred R., Lueders, Adrian, Malik, Najma Iqbal, Martinez, Anton, McCabe, Kira O., Mehulic, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyul, Boglarka, O'Keefe, Paul A., Olivas Osuna, Jose Javier, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas, Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta, Schumpe, Birga M., Selim, Heyla A., Stanton, Michael Vicente, Sultana, Samiah, Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien Anne, Van Lissa, Caspar J., Van Veen, Kees, vanDellen, Michelle R., Vazquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-Lan, Zand, Somayeh, Zezelj, Iris Lav, Zheng, Bang, Zick, Andreas, Zuniga, Claudia, Leander, N. Pontus, Enea, Violeta, Eisenbeck, Nikolett, Carreno, David F., Douglas, Karen M., Sutton, Robbie M., Agostini, Maximilian, Belanger, Jocelyn J., Gutzkow, Ben, Kreienkamp, Jannis, Abakoumkin, Georgios, Khaiyom, Jamilah Hanum Abdul, Ahmedi, Vjollca, Akkas, Handan, Almenara, Carlos A., Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Kida, Edona Berisha, Bernardo, Allan B., Buttrick, Nicholas R., Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sara, Damnjanovic, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Faller, Daiane Gracieli, Fitzsimons, Gavan, Gheorghiu, Alexandra, Gomez, Angel, Grzymala-Moszczynska, Joanna, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Jiang, Ding-Yu, Jovanovic, Veljko, Kamenov, Zeljka, Kende, Anna, Keng, Shian-Ling, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nora Anna, Lemay, Edward P., Lesmana, Cokorda Bagus Jaya, Louis, Winnifred R., Lueders, Adrian, Malik, Najma Iqbal, Martinez, Anton, McCabe, Kira O., Mehulic, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyul, Boglarka, O'Keefe, Paul A., Olivas Osuna, Jose Javier, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas, Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta, Schumpe, Birga M., Selim, Heyla A., Stanton, Michael Vicente, Sultana, Samiah, Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien Anne, Van Lissa, Caspar J., Van Veen, Kees, vanDellen, Michelle R., Vazquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-Lan, Zand, Somayeh, Zezelj, Iris Lav, Zheng, Bang, Zick, Andreas, Zuniga, Claudia, and Leander, N. Pontus

Abstract

Understanding the determinants of COVID-19 vaccine uptake is important to inform policy decisions and plan vaccination campaigns. The aims of this research were to: (1) explore the individual- and country-level determinants of intentions to be vaccinated against SARS-CoV-2, and (2) examine worldwide variation in vaccination intentions. This cross-sectional online survey was conducted during the first wave of the pandemic, involving 6697 respondents across 20 countries. Results showed that 72.9% of participants reported positive intentions to be vaccinated against COVID-19, whereas 16.8% were undecided, and 10.3% reported they would not be vaccinated. At the individual level, prosociality was a significant positive predictor of vaccination intentions, whereas generic beliefs in conspiracy theories and religiosity were negative predictors. Country-level determinants, including cultural dimensions of individualism/collectivism and power distance, were not significant predictors of vaccination intentions. Altogether, this study identifies individual-level predictors that are common across multiple countries, provides further evidence on the importance of combating conspiracy theories, involving religious institutions in vaccination campaigns, and stimulating prosocial motives to encourage vaccine uptake.

Published
2023

8. Identifying important individual- and country-level predictors of conspiracy theorizing: A machine learning analysis

Author

Douglas, Karen M., Sutton, Robbie M., Van Lissa, Caspar J., Stroebe, Wolfgang, Kreienkamp, Jannis, Agostini, Maximilian, Belanger, Jocelyn J., Guetzkow, Ben, Abakoumkin, Georgios, Khaiyom, Jamilah Hanum Abdul, Ahmedi, Vjollca, Akkaş, Handan, Almenara, Carlos A., Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Berisha Kida, Edona, Bernardo, Allan B. I., Buttrick, Nicholas R., Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sara, Damnjanovic, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Enea, Violeta, Faller, Daiane Gracieli, Fitzsimons, Gavan, Gheorghiu, Alexandra, Gomez, Angel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Yu Jiang, Ding, Jovanovic, Veljko, Kamenov, Zeljka, Kende, Anna, Keng, Shian-Ling, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nora Anna, Lemay, Edward P., Lesmana, Cokorda Bagus Jaya, Louis, Winnifred R., Lueders, Adrian, Malik, Najma Iqbal, Martinez, Anton, McCabe, Kira O., Mehulic, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyul, Boglarka, O'Keefe, Paul A., Olivas Osuna, Jose Javier, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas, Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta, Schumpe, Birga M., Selim, Heyla A., Stanton, Michael Vicente, Sultana, Samiah, Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien Anne, Van Veen, Kees, vanDellen, Michelle R., Vazquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-Lan, Zand, Somayeh, Zezelj, Iris L., Zheng, Bang, Zick, Andreas, Zuniga, Claudia, Leander, N. Pontus, Douglas, Karen M., Sutton, Robbie M., Van Lissa, Caspar J., Stroebe, Wolfgang, Kreienkamp, Jannis, Agostini, Maximilian, Belanger, Jocelyn J., Guetzkow, Ben, Abakoumkin, Georgios, Khaiyom, Jamilah Hanum Abdul, Ahmedi, Vjollca, Akkaş, Handan, Almenara, Carlos A., Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Berisha Kida, Edona, Bernardo, Allan B. I., Buttrick, Nicholas R., Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sara, Damnjanovic, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Enea, Violeta, Faller, Daiane Gracieli, Fitzsimons, Gavan, Gheorghiu, Alexandra, Gomez, Angel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Yu Jiang, Ding, Jovanovic, Veljko, Kamenov, Zeljka, Kende, Anna, Keng, Shian-Ling, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nora Anna, Lemay, Edward P., Lesmana, Cokorda Bagus Jaya, Louis, Winnifred R., Lueders, Adrian, Malik, Najma Iqbal, Martinez, Anton, McCabe, Kira O., Mehulic, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyul, Boglarka, O'Keefe, Paul A., Olivas Osuna, Jose Javier, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas, Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta, Schumpe, Birga M., Selim, Heyla A., Stanton, Michael Vicente, Sultana, Samiah, Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien Anne, Van Veen, Kees, vanDellen, Michelle R., Vazquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-Lan, Zand, Somayeh, Zezelj, Iris L., Zheng, Bang, Zick, Andreas, Zuniga, Claudia, and Leander, N. Pontus

Abstract

Psychological research on the predictors of conspiracy theorizing-explaining important social and political events or circumstances as secret plots by malevolent groups-has flourished in recent years. However, research has typically examined only a small number of predictors in one, or a small number of, national contexts. Such approaches make it difficult to examine the relative importance of predictors, and risk overlooking some potentially relevant variables altogether. To overcome this limitation, the present study used machine learning to rank-order the importance of 115 individual- and country-level variables in predicting conspiracy theorizing. Data were collected from 56,072 respondents across 28 countries during the early weeks of the COVID-19 pandemic. Echoing previous findings, important predictors at the individual level included societal discontent, paranoia, and personal struggle. Contrary to prior research, important country-level predictors included indicators of political stability and effective government COVID response, which suggests that conspiracy theorizing may thrive in relatively well-functioning democracies.

Published
2023

9. Pandemic Boredom: Little Evidence That Lockdown-Related Boredom Affects Risky Public Health Behaviors Across 116 Countries

Author

Westgate, Erin C., Buttrick, Nicholas R., Lin, Yijun, El Helou, Gaelle, Agostini, Maximilian, Belanger, Jocelyn J., Gützkow, Ben, Kreienkamp, Jannis, Abakoumkin, Georgios, Abdul Khaiyom, Jamilah Hanum, Ahmedi, Vjollca, Akkas, Handan, Almenara, Carlos A., Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Berisha Kida, Edona, Bernardo, Allan B. I., Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sara, Damnjanovic, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Douglas, Karen M., Enea, Violeta, Faller, Daiane Gracieli, Fitzsimons, Gavan, Gheorghiu, Alexandra, Gomez, Angel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F., Jiang, Ding-Yu, Jovanovic, Veljko, Kamenov, Zeljka, Kende, Anna, Keng, Shian-Ling, Kieu, Tra Thi Thanh, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W., Kurapov, Anton, Kutlaca, Maja, Lantos, Nora Anna, Lemay, Edward P., Lesmana, Cokorda Bagus Jaya, Louis, Winnifred R., Lueders, Adrian, Maj, Marta, Malik, Najma Iqbal, Martinez, Anton, McCabe, Kira O., Mehulic, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F., Nyul, Boglarka, O'Keefe, Paul A., Olivas Osuna, Jose Javier, Osin, Evgeny N., Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas, Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K., Samekin, Adil, Santtila, Pekka, Sasin, Edyta, Schumpe, Birga M., Selim, Heyla A., Stanton, Michael Vicente, Stroebe, Wolfgang, Sutton, Robbie M., Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien Anne, Van Lissa, Caspar J., Van Veen, Kees, vanDellen, Michelle R., Vazquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-lan, Zand, Somayeh, Zezelj, Iris Lav, Zheng, Bang, Zick, Andreas, Zuniga, Claudia, and Leander, N. Pontus

Subjects
self-regulation, Simpson's paradox, public health, emotion, COVID-19, General Psychology
Abstract

Some public officials have expressed concern that policies mandating collective public health behaviors (e.g., national/regional "lockdown ") may result in behavioral fatigue that ultimately renders such policies ineffective. Boredom, specifically, has been singled out as one potential risk factor for noncompliance. We examined whether there was empirical evidence to support this concern during the COVID-19 pandemic in a large cross-national sample of 63,336 community respondents from 116 countries. Although boredom was higher in countries with more COVID-19 cases and in countries that instituted more stringent lockdowns, such boredom did not predict longitudinal within-person decreases in social distancing behavior (or vice versa; n = 8,031) in early spring and summer of 2020. Overall, we found little evidence that changes in boredom predict individual public health behaviors (handwashing, staying home, self-quarantining, and avoiding crowds) over time, or that such behaviors had any reliable longitudinal effects on boredom itself. In summary, contrary to concerns, we found little evidence that boredom posed a public health risk during lockdown and quarantine.

Published
2023

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