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1. Understanding news-related user comments and their effects: a systematic review

Author

Emily Kubin, Pascal Merz, Mariam Wahba, Cate Davis, Kurt Gray, and Christian von Sikorski

Subjects
user comments, digital news, content analysis, media effects, uncivil user comments, Communication. Mass media, P87-96
Abstract

There has been growing interest in research on news-related user comments. Here we conduct the first systematic review of this literature—quantitatively and qualitatively (248 studies)—that covers the entire communication process (content analyses, surveys, experiments). Results indicate a focus on online news articles (vs videos) and little consideration for major social media platforms (Instagram, TikTok). Research often assesses incivility in comments but offers conflicting conclusions on the actual level of incivility in comment threads—and seldom considers how to effectively combat any incivility. We propose four priorities for future work: more comparative and longitudinal approaches; exploring social media and video content; examining platform design, content moderation and artificial intelligence; and implementing measures to reduce incivility and protect the integrity of journalism.

Published
2024
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2. Social and moral psychology of COVID-19 across 69 countries

Author

Flavio Azevedo, Tomislav Pavlović, Gabriel G. Rêgo, F. Ceren Ay, Biljana Gjoneska, Tom W. Etienne, Robert M. Ross, Philipp Schönegger, Julián C. Riaño-Moreno, Aleksandra Cichocka, Valerio Capraro, Luca Cian, Chiara Longoni, Ho Fai Chan, Jay J. Van Bavel, Hallgeir Sjåstad, John B. Nezlek, Mark Alfano, Michele J. Gelfand, Michèle D. Birtel, Aleksandra Cislak, Patricia L. Lockwood, Koen Abts, Elena Agadullina, John Jamir Benzon Aruta, Sahba Nomvula Besharati, Alexander Bor, Becky L. Choma, Charles David Crabtree, William A. Cunningham, Koustav De, Waqas Ejaz, Christian T. Elbaek, Andrej Findor, Daniel Flichtentrei, Renata Franc, June Gruber, Estrella Gualda, Yusaku Horiuchi, Toan Luu Duc Huynh, Agustin Ibanez, Mostak Ahamed Imran, Jacob Israelashvili, Katarzyna Jasko, Jaroslaw Kantorowicz, Elena Kantorowicz-Reznichenko, André Krouwel, Michael Laakasuo, Claus Lamm, Caroline Leygue, Ming-Jen Lin, Mohammad Sabbir Mansoor, Antoine Marie, Lewend Mayiwar, Honorata Mazepus, Cillian McHugh, John Paul Minda, Panagiotis Mitkidis, Andreas Olsson, Tobias Otterbring, Dominic J. Packer, Anat Perry, Michael Bang Petersen, Arathy Puthillam, Tobias Rothmund, Hernando Santamaría-García, Petra C. Schmid, Drozdstoy Stoyanov, Shruti Tewari, Bojan Todosijević, Manos Tsakiris, Hans H. Tung, Radu G. Umbres, Edmunds Vanags, Madalina Vlasceanu, Andrew Vonasch, Meltem Yucel, Yucheng Zhang, Mohcine Abad, Eli Adler, Narin Akrawi, Hamza Alaoui Mdarhri, Hanane Amara, David M. Amodio, Benedict G. Antazo, Matthew Apps, Mouhamadou Hady Ba, Sergio Barbosa, Brock Bastian, Anton Berg, Maria P. Bernal-Zárate, Michael Bernstein, Michał Białek, Ennio Bilancini, Natalia Bogatyreva, Leonardo Boncinelli, Jonathan E. Booth, Sylvie Borau, Ondrej Buchel, C. Daryl Cameron, Chrissie F. Carvalho, Tatiana Celadin, Chiara Cerami, Hom Nath Chalise, Xiaojun Cheng, Kate Cockcroft, Jane Conway, Mateo Andres Córdoba-Delgado, Chiara Crespi, Marie Crouzevialle, Jo Cutler, Marzena Cypryańska, Justyna Dabrowska, Michael A. Daniels, Victoria H. Davis, Pamala N. Dayley, Sylvain Delouvée, Ognjan Denkovski, Guillaume Dezecache, Nathan A. Dhaliwal, Alelie B. Diato, Roberto Di Paolo, Marianna Drosinou, Uwe Dulleck, Jānis Ekmanis, Arhan S. Ertan, Hapsa Hossain Farhana, Fahima Farkhari, Harry Farmer, Ali Fenwick, Kristijan Fidanovski, Terry Flew, Shona Fraser, Raymond Boadi Frempong, Jonathan A. Fugelsang, Jessica Gale, E. Begoña Garcia-Navarro, Prasad Garladinne, Oussama Ghajjou, Theofilos Gkinopoulos, Kurt Gray, Siobhán M. Griffin, Bjarki Gronfeldt, Mert Gümren, Ranju Lama Gurung, Eran Halperin, Elizabeth Harris, Volo Herzon, Matej Hruška, Guanxiong Huang, Matthias F. C. Hudecek, Ozan Isler, Simon Jangard, Frederik J. Jorgensen, Frank Kachanoff, John Kahn, Apsara Katuwal Dangol, Oleksandra Keudel, Lina Koppel, Mika Koverola, Emily Kubin, Anton Kunnari, Yordan Kutiyski, Oscar Moreda Laguna, Josh Leota, Eva Lermer, Jonathan Levy, Neil Levy, Chunyun Li, Elizabeth U. Long, Marina Maglić, Darragh McCashin, Alexander L. Metcalf, Igor Mikloušić, Soulaimane El Mimouni, Asako Miura, Juliana Molina-Paredes, César Monroy-Fonseca, Elena Morales-Marente, David Moreau, Rafał Muda, Annalisa Myer, Kyle Nash, Tarik Nesh-Nash, Jonas P. Nitschke, Matthew S. Nurse, Yohsuke Ohtsubo, Victoria Oldemburgo de Mello, Cathal O’Madagain, Michal Onderco, M. Soledad Palacios-Galvez, Jussi Palomöki, Yafeng Pan, Zsófia Papp, Philip Pärnamets, Mariola Paruzel-Czachura, Zoran Pavlović, César Payán-Gómez, Silva Perander, Michael Mark Pitman, Rajib Prasad, Joanna Pyrkosz-Pacyna, Steve Rathje, Ali Raza, Kasey Rhee, Claire E. Robertson, Iván Rodríguez-Pascual, Teemu Saikkonen, Octavio Salvador-Ginez, Gaia C. Santi, Natalia Santiago-Tovar, David Savage, Julian A. Scheffer, David T. Schultner, Enid M. Schutte, Andy Scott, Madhavi Sharma, Pujan Sharma, Ahmed Skali, David Stadelmann, Clara Alexandra Stafford, Dragan Stanojević, Anna Stefaniak, Anni Sternisko, Augustin Stoica, Kristina K. Stoyanova, Brent Strickland, Jukka Sundvall, Jeffrey P. Thomas, Gustav Tinghög, Benno Torgler, Iris J. Traast, Raffaele Tucciarelli, Michael Tyrala, Nick D. Ungson, Mete S. Uysal, Paul A. M. Van Lange, Jan-Willem van Prooijen, Dirk van Rooy, Daniel Västfjäll, Peter Verkoeijen, Joana B. Vieira, Christian von Sikorski, Alexander Cameron Walker, Jennifer Watermeyer, Erik Wetter, Ashley Whillans, Katherine White, Rishad Habib, Robin Willardt, Michael J. A. Wohl, Adrian Dominik Wójcik, Kaidi Wu, Yuki Yamada, Onurcan Yilmaz, Kumar Yogeeswaran, Carolin-Theresa Ziemer, Rolf A. Zwaan, Paulo S. Boggio, and Waldir M. Sampaio

Subjects
Science
Abstract

Abstract The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.

Published
2023
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3. National identity predicts public health support during a global pandemic

Author

Jay J. Van Bavel, Aleksandra Cichocka, Valerio Capraro, Hallgeir Sjåstad, John B. Nezlek, Tomislav Pavlović, Mark Alfano, Michele J. Gelfand, Flavio Azevedo, Michèle D. Birtel, Aleksandra Cislak, Patricia L. Lockwood, Robert Malcolm Ross, Koen Abts, Elena Agadullina, John Jamir Benzon Aruta, Sahba Nomvula Besharati, Alexander Bor, Becky L. Choma, Charles David Crabtree, William A. Cunningham, Koustav De, Waqas Ejaz, Christian T. Elbaek, Andrej Findor, Daniel Flichtentrei, Renata Franc, Biljana Gjoneska, June Gruber, Estrella Gualda, Yusaku Horiuchi, Toan Luu Duc Huynh, Augustin Ibanez, Mostak Ahamed Imran, Jacob Israelashvili, Katarzyna Jasko, Jaroslaw Kantorowicz, Elena Kantorowicz-Reznichenko, André Krouwel, Michael Laakasuo, Claus Lamm, Caroline Leygue, Ming-Jen Lin, Mohammad Sabbir Mansoor, Antoine Marie, Lewend Mayiwar, Honorata Mazepus, Cillian McHugh, John Paul Minda, Panagiotis Mitkidis, Andreas Olsson, Tobias Otterbring, Dominic J. Packer, Anat Perry, Michael Bang Petersen, Arathy Puthillam, Julián C. Riaño-Moreno, Tobias Rothmund, Hernando Santamaría-García, Petra C. Schmid, Drozdstoy Stoyanov, Shruti Tewari, Bojan Todosijević, Manos Tsakiris, Hans H. Tung, Radu G. Umbreș, Edmunds Vanags, Madalina Vlasceanu, Andrew Vonasch, Meltem Yucel, Yucheng Zhang, Mohcine Abad, Eli Adler, Narin Akrawi, Hamza Alaoui Mdarhri, Hanane Amara, David M. Amodio, Benedict G. Antazo, Matthew Apps, F. Ceren Ay, Mouhamadou Hady Ba, Sergio Barbosa, Brock Bastian, Anton Berg, Maria P. Bernal-Zárate, Michael Bernstein, Michał Białek, Ennio Bilancini, Natalia Bogatyreva, Leonardo Boncinelli, Jonathan E. Booth, Sylvie Borau, Ondrej Buchel, C. Daryl Cameron, Chrissie F. Carvalho, Tatiana Celadin, Chiara Cerami, Hom Nath Chalise, Xiaojun Cheng, Luca Cian, Kate Cockcroft, Jane Conway, Mateo Andres Córdoba-Delgado, Chiara Crespi, Marie Crouzevialle, Jo Cutler, Marzena Cypryańska, Justyna Dabrowska, Michael A. Daniels, Victoria H. Davis, Pamala N. Dayley, Sylvain Delouvee, Ognjan Denkovski, Guillaume Dezecache, Nathan A. Dhaliwal, Alelie B. Diato, Roberto Di Paolo, Marianna Drosinou, Uwe Dulleck, Jānis Ekmanis, Arhan S. Ertan, Tom W. Etienne, Hapsa Hossain Farhana, Fahima Farkhari, Harry Farmer, Ali Fenwick, Kristijan Fidanovski, Terry Flew, Shona Fraser, Raymond Boadi Frempong, Jonathan A. Fugelsang, Jessica Gale, E. Begoña Garcia-Navarro, Prasad Garladinne, Oussama Ghajjou, Theofilos Gkinopoulos, Kurt Gray, Siobhán M. Griffin, Bjarki Gronfeldt, Mert Gümren, Ranju Lama Gurung, Eran Halperin, Elizabeth Harris, Volo Herzon, Matej Hruška, Guanxiong Huang, Matthias F. C. Hudecek, Ozan Isler, Simon Jangard, Frederik J. Jørgensen, Frank Kachanoff, John Kahn, Apsara Katuwal Dangol, Oleksandra Keudel, Lina Koppel, Mika Koverola, Emily Kubin, Anton Kunnari, Yordan Kutiyski, Oscar Laguna, Josh Leota, Eva Lermer, Jonathan Levy, Neil Levy, Chunyun Li, Elizabeth U. Long, Chiara Longoni, Marina Maglić, Darragh McCashin, Alexander L. Metcalf, Igor Mikloušić, Soulaimane El Mimouni, Asako Miura, Juliana Molina-Paredes, César Monroy-Fonseca, Elena Morales-Marente, David Moreau, Rafał Muda, Annalisa Myer, Kyle Nash, Tarik Nesh-Nash, Jonas P. Nitschke, Matthew S. Nurse, Yohsuke Ohtsubo, Victoria Oldemburgo de Mello, Cathal O’Madagain, Michal Onderco, M. Soledad Palacios-Galvez, Jussi Palomäki, Yafeng Pan, Zsófia Papp, Philip Pärnamets, Mariola Paruzel-Czachura, Zoran Pavlović, César Payán-Gómez, Silva Perander, Michael Mark Pitman, Rajib Prasad, Joanna Pyrkosz-Pacyna, Steve Rathje, Ali Raza, Gabriel G. Rêgo, Kasey Rhee, Claire E. Robertson, Iván Rodríguez-Pascual, Teemu Saikkonen, Octavio Salvador-Ginez, Waldir M. Sampaio, Gaia C. Santi, Natalia Santiago-Tovar, David Savage, Julian A. Scheffer, Philipp Schönegger, David T. Schultner, Enid M. Schutte, Andy Scott, Madhavi Sharma, Pujan Sharma, Ahmed Skali, David Stadelmann, Clara Alexandra Stafford, Dragan Stanojević, Anna Stefaniak, Anni Sternisko, Augustin Stoica, Kristina K. Stoyanova, Brent Strickland, Jukka Sundvall, Jeffrey P. Thomas, Gustav Tinghög, Benno Torgler, Iris J. Traast, Raffaele Tucciarelli, Michael Tyrala, Nick D. Ungson, Mete S. Uysal, Paul A. M. Van Lange, Jan-Willem van Prooijen, Dirk van Rooy, Daniel Västfjäll, Peter Verkoeijen, Joana B. Vieira, Christian von Sikorski, Alexander Cameron Walker, Jennifer Watermeyer, Erik Wetter, Ashley Whillans, Robin Willardt, Michael J. A. Wohl, Adrian Dominik Wójcik, Kaidi Wu, Yuki Yamada, Onurcan Yilmaz, Kumar Yogeeswaran, Carolin-Theresa Ziemer, Rolf A. Zwaan, and Paulo S. Boggio

Subjects
Science
Abstract

Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

Published
2022
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4. Author Correction: National identity predicts public health support during a global pandemic

Author

Jay J. Van Bavel, Aleksandra Cichocka, Valerio Capraro, Hallgeir Sjåstad, John B. Nezlek, Tomislav Pavlović, Mark Alfano, Michele J. Gelfand, Flavio Azevedo, Michèle D. Birtel, Aleksandra Cislak, Patricia L. Lockwood, Robert Malcolm Ross, Koen Abts, Elena Agadullina, John Jamir Benzon Aruta, Sahba Nomvula Besharati, Alexander Bor, Becky L. Choma, Charles David Crabtree, William A. Cunningham, Koustav De, Waqas Ejaz, Christian T. Elbaek, Andrej Findor, Daniel Flichtentrei, Renata Franc, Biljana Gjoneska, June Gruber, Estrella Gualda, Yusaku Horiuchi, Toan Luu Duc Huynh, Agustin Ibanez, Mostak Ahamed Imran, Jacob Israelashvili, Katarzyna Jasko, Jaroslaw Kantorowicz, Elena Kantorowicz-Reznichenko, André Krouwel, Michael Laakasuo, Claus Lamm, Caroline Leygue, Ming-Jen Lin, Mohammad Sabbir Mansoor, Antoine Marie, Lewend Mayiwar, Honorata Mazepus, Cillian McHugh, John Paul Minda, Panagiotis Mitkidis, Andreas Olsson, Tobias Otterbring, Dominic J. Packer, Anat Perry, Michael Bang Petersen, Arathy Puthillam, Julián C. Riaño-Moreno, Tobias Rothmund, Hernando Santamaría-García, Petra C. Schmid, Drozdstoy Stoyanov, Shruti Tewari, Bojan Todosijević, Manos Tsakiris, Hans H. Tung, Radu G. Umbreș, Edmunds Vanags, Madalina Vlasceanu, Andrew Vonasch, Meltem Yucel, Yucheng Zhang, Mohcine Abad, Eli Adler, Narin Akrawi, Hamza Alaoui Mdarhri, Hanane Amara, David M. Amodio, Benedict G. Antazo, Matthew Apps, F. Ceren Ay, Mouhamadou Hady Ba, Sergio Barbosa, Brock Bastian, Anton Berg, Maria P. Bernal-Zárate, Michael Bernstein, Michał Białek, Ennio Bilancini, Natalia Bogatyreva, Leonardo Boncinelli, Jonathan E. Booth, Sylvie Borau, Ondrej Buchel, C. Daryl Cameron, Chrissie F. Carvalho, Tatiana Celadin, Chiara Cerami, Hom Nath Chalise, Xiaojun Cheng, Luca Cian, Kate Cockcroft, Jane Conway, Mateo Andres Córdoba-Delgado, Chiara Crespi, Marie Crouzevialle, Jo Cutler, Marzena Cypryańska, Justyna Dabrowska, Michael A. Daniels, Victoria H. Davis, Pamala N. Dayley, Sylvain Delouvee, Ognjan Denkovski, Guillaume Dezecache, Nathan A. Dhaliwal, Alelie B. Diato, Roberto Di Paolo, Marianna Drosinou, Uwe Dulleck, Jānis Ekmanis, Arhan S. Ertan, Tom W. Etienne, Hapsa Hossain Farhana, Fahima Farkhari, Harry Farmer, Ali Fenwick, Kristijan Fidanovski, Terry Flew, Shona Fraser, Raymond Boadi Frempong, Jonathan A. Fugelsang, Jessica Gale, E. Begoña Garcia-Navarro, Prasad Garladinne, Oussama Ghajjou, Theofilos Gkinopoulos, Kurt Gray, Siobhán M. Griffin, Bjarki Gronfeldt, Mert Gümren, Ranju Lama Gurung, Eran Halperin, Elizabeth Harris, Volo Herzon, Matej Hruška, Guanxiong Huang, Matthias F. C. Hudecek, Ozan Isler, Simon Jangard, Frederik J. Jørgensen, Frank Kachanoff, John Kahn, Apsara Katuwal Dangol, Oleksandra Keudel, Lina Koppel, Mika Koverola, Emily Kubin, Anton Kunnari, Yordan Kutiyski, Oscar Laguna, Josh Leota, Eva Lermer, Jonathan Levy, Neil Levy, Chunyun Li, Elizabeth U. Long, Chiara Longoni, Marina Maglić, Darragh McCashin, Alexander L. Metcalf, Igor Mikloušić, Soulaimane El Mimouni, Asako Miura, Juliana Molina-Paredes, César Monroy-Fonseca, Elena Morales-Marente, David Moreau, Rafał Muda, Annalisa Myer, Kyle Nash, Tarik Nesh-Nash, Jonas P. Nitschke, Matthew S. Nurse, Yohsuke Ohtsubo, Victoria Oldemburgo de Mello, Cathal O’Madagain, Michal Onderco, M. Soledad Palacios-Galvez, Jussi Palomäki, Yafeng Pan, Zsófia Papp, Philip Pärnamets, Mariola Paruzel-Czachura, Zoran Pavlović, César Payán-Gómez, Silva Perander, Michael Mark Pitman, Rajib Prasad, Joanna Pyrkosz-Pacyna, Steve Rathje, Ali Raza, Gabriel G. Rêgo, Kasey Rhee, Claire E. Robertson, Iván Rodríguez-Pascual, Teemu Saikkonen, Octavio Salvador-Ginez, Waldir M. Sampaio, Gaia C. Santi, Natalia Santiago-Tovar, David Savage, Julian A. Scheffer, Philipp Schönegger, David T. Schultner, Enid M. Schutte, Andy Scott, Madhavi Sharma, Pujan Sharma, Ahmed Skali, David Stadelmann, Clara Alexandra Stafford, Dragan Stanojević, Anna Stefaniak, Anni Sternisko, Augustin Stoica, Kristina K. Stoyanova, Brent Strickland, Jukka Sundvall, Jeffrey P. Thomas, Gustav Tinghög, Benno Torgler, Iris J. Traast, Raffaele Tucciarelli, Michael Tyrala, Nick D. Ungson, Mete S. Uysal, Paul A. M. Van Lange, Jan-Willem van Prooijen, Dirk van Rooy, Daniel Västfjäll, Peter Verkoeijen, Joana B. Vieira, Christian von Sikorski, Alexander Cameron Walker, Jennifer Watermeyer, Erik Wetter, Ashley Whillans, Robin Willardt, Michael J. A. Wohl, Adrian Dominik Wójcik, Kaidi Wu, Yuki Yamada, Onurcan Yilmaz, Kumar Yogeeswaran, Carolin-Theresa Ziemer, Rolf A. Zwaan, and Paulo S. Boggio

Subjects
Science
Published
2022
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5. Ratings of Reasons for Disagreement about 95 Attitude Object Pairs and 190 Attitude Objects

Author

Mark J. Brandt and Emily Kubin

Subjects
attitudes, political disagree, moral disagreement, religious disagreement, threat, harm, aiid, Psychology, BF1-990
Abstract

In two questionnaire studies, participants rated whether disagreement about 95 attitude pairs or 190 individual attitudes were characterized by threat, complexity, morality, politics, and harm. The attitudes cover a range of different topics, from abstract concepts to social groups and political figures and are the same attitudes in the Attitudes, Identities, and Individual Differences Study (Hussey et al., 2018). The data sets include ratings of each attitude, as well as basic demographic information about the participants. Data can be combined with the Attitudes, Identities, and Individual Differences Study and can also be used to understand how some attitudes are perceived, which may be useful when planning studies.

Published
2021
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6. Political Psychology Data from a 26-wave Yearlong Longitudinal Study (2019–2020)

Author

Mark J. Brandt, Felicity M. Turner-Zwinkels, and Emily Kubin

Subjects
politics, attitudes, identities, social distance, threat, stress, political psychology, open data, covid-19, Psychology, BF1-990
Abstract

Data was collected from 552 people from the United States every two weeks for one year for a 26-wave panel study. Participants recruited on Prolific completed measures of political attitudes, political identification, perceived threat, perceived stress, and social distance at every wave. They completed demographic measures at the first wave. They completed political behaviour intentions (e.g., voting, signing a petition) in four waves spread over the last half of the study. They completed items related to COVID-19 for the last four waves. Data is stored on the Open Science Framework. It can be used to study longitudinal associations between politically-relevant variables, assess stability overtime, and test for the influence of discrete events on attitudes during the course of the study.

Published
2021
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15. Megastudy identifying effective interventions to strengthen Americans’ democratic attitudes

Author

Jan G. Voelkel, Michael Stagnaro, James Chu, Sophia Lerner Pink, Joseph S. Mernyk, Chrystal Redekopp, Isaias Ghezae, Matthew Cashman, Dhaval Adjodah, Levi Allen, Victor Allis, Gina Baleria, Nathan Ballantyne, Jay Joseph Van Bavel, Hayley Blunden, Alia Braley, Christopher Bryan, Jared Celniker, Mina Cikara, Margarett Clapper, Katherine Clayton, Hanne K. Collins, Evan DeFilippis, MACRINA DIEFFENBACH, Kimberly C Doell, Charles Dorison, Mylien Duong, Peter Felsman, Maya Fiorella, David Francis, Michael M. Franz, Roman Gallardo, Sara Gifford, Daniela Goya-Tocchetto, Kurt Gray, Joe Green, Joshua D. Greene, Mertcan Güngör, Matthew Hall, Cameron Hecht, Ali Javeed, John Jost, Aaron Kay, Nicholas Kay, Brandyn Keating, John Michael Kelly, James Kirk, Malka Kopell, Nour Kteily, Emily Kubin, Jeffrey Martin Lees, Gabriel Lenz, Matt Levendusky, Rebecca Littman, Kara Luo, Aaron Lyles, Benjamin Lyons, Wayde Marsh, James Martherus, Lauren Alpert Maurer, Caroline Mehl, julia minson, Molly Moore, Samantha Moore-Berg, Michael H. Pasek, Alex Pentland, Curtis Puryear, Hossein Rahnama, Steve Rathje, Jay Rosato, Maytal Saar-Tsechansky, Luiza Santos, Colleen Seifert, Azim Shariff, Otto Simonsson, Shiri Spitz Siddiqi, Daniel Stone, Palma Strand, Michael Tomz, David Scott Yeager, Erez Yoeli, jamil zaki, James Druckman, David Gertler Rand, and Robb Willer

Abstract

Deep partisan conflict in the mass public threatens the stability of American democracy. We conducted a megastudy (n=32,059) testing 25 interventions designed by academics and practitioners to reduce Americans’ partisan animosity and anti-democratic attitudes. We find nearly every intervention reduced partisan animosity, most strongly by highlighting sympathetic and relatable individuals with different political beliefs. We also identify several interventions that reduced support for undemocratic practices and partisan violence, most strongly by correcting misperceptions of outpartisans’ views – showing that anti-democratic attitudes, although difficult to move, are not intractable. Furthermore, both factor analysis and patterns of intervention effect sizes provide convergent evidence for limited overlap between these sets of outcomes, suggesting that, contrary to popular belief, different strategies are most effective for reducing partisan animosity versus anti-democratic attitudes. Taken together, our findings provide a toolkit of promising strategies for practitioners and shed new theoretical light on challenges facing American democracy.

Published
2023

17. Reducing Political Dehumanization By Pairing Facts with Personal Experiences

Author

Emily Kubin, Kurt J. Gray, and Christian von Sikorski

Subjects
Philosophy, Clinical Psychology, Sociology and Political Science, Social Psychology, Political Science and International Relations, Experimental and Cognitive Psychology
Abstract

The media is increasingly blamed for inflaming political animosity, but it may also bridge partisan divides—with the right strategies. Past research highlights the outgroup experience effect: sharing personal experiences (and not facts) helps to reduce partisan animosity. However, sharing facts is a pillar of good journalism, and is essential for mediated political communication. Across 4 studies in two countries, we show that journalists, and citizens on social media sites, can share facts about contentious political issues (gun and climate policy), while simultaneously increasing tolerance and reducing dehumanization of political opponents. We extend the outgroup experience effect by introducing factual content alongside personal experiences of political adversaries (i.e., a combination approach). These effects are replicated in both the United States and Germany though in Germany the personal experience intervention is only beneficial for people with more extreme attitudes.

Published
2022

18. The role of (social) media in political polarization: a systematic review

Author

Emily Kubin and Christian von Sikorski

Subjects
Communication, Political science, Political economy, Fragmentation (computing), Social media, Political communication, Misinformation, News media
Abstract

Rising political polarization is, in part, attributed to the fragmentation of news media and the spread of misinformation on social media. Previous reviews have yet to assess the full breadth of re...

Published
2021

19. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

Author

Tomislav Pavlović, Flavio Azevedo, Koustav De, Julián C Riaño-Moreno, Marina Maglić, Theofilos Gkinopoulos, Patricio Andreas Donnelly-Kehoe, César Payán-Gómez, Guanxiong Huang, Jaroslaw Kantorowicz, Michèle D Birtel, Philipp Schönegger, Valerio Capraro, Hernando Santamaría-García, Meltem Yucel, Agustin Ibanez, Steve Rathje, Erik Wetter, Dragan Stanojević, Jan-Willem van Prooijen, Eugenia Hesse, Christian T Elbaek, Renata Franc, Zoran Pavlović, Panagiotis Mitkidis, Aleksandra Cichocka, Michele Gelfand, Mark Alfano, Robert M Ross, Hallgeir Sjåstad, John B Nezlek, Aleksandra Cislak, Patricia Lockwood, Koen Abts, Elena Agadullina, David M Amodio, Matthew A J Apps, John Jamir Benzon Aruta, Sahba Besharati, Alexander Bor, Becky Choma, William Cunningham, Waqas Ejaz, Harry Farmer, Andrej Findor, Biljana Gjoneska, Estrella Gualda, Toan L D Huynh, Mostak Ahamed Imran, Jacob Israelashvili, Elena Kantorowicz-Reznichenko, André Krouwel, Yordan Kutiyski, Michael Laakasuo, Claus Lamm, Jonathan Levy, Caroline Leygue, Ming-Jen Lin, Mohammad Sabbir Mansoor, Antoine Marie, Lewend Mayiwar, Honorata Mazepus, Cillian McHugh, Andreas Olsson, Tobias Otterbring, Dominic Packer, Jussi Palomäki, Anat Perry, Michael Bang Petersen, Arathy Puthillam, Tobias Rothmund, Petra C Schmid, David Stadelmann, Augustin Stoica, Drozdstoy Stoyanov, Kristina Stoyanova, Shruti Tewari, Bojan Todosijević, Benno Torgler, Manos Tsakiris, Hans H Tung, Radu Gabriel Umbreș, Edmunds Vanags, Madalina Vlasceanu, Andrew J Vonasch, Yucheng Zhang, Mohcine Abad, Eli Adler, Hamza Alaoui Mdarhri, Benedict Antazo, F Ceren Ay, Mouhamadou El Hady Ba, Sergio Barbosa, Brock Bastian, Anton Berg, Michał Białek, Ennio Bilancini, Natalia Bogatyreva, Leonardo Boncinelli, Jonathan E Booth, Sylvie Borau, Ondrej Buchel, Chrissie Ferreira de Carvalho, Tatiana Celadin, Chiara Cerami, Hom Nath Chalise, Xiaojun Cheng, Luca Cian, Kate Cockcroft, Jane Conway, Mateo A Córdoba-Delgado, Chiara Crespi, Marie Crouzevialle, Jo Cutler, Marzena Cypryańska, Justyna Dabrowska, Victoria H Davis, John Paul Minda, Pamala N Dayley, Sylvain Delouvée, Ognjan Denkovski, Guillaume Dezecache, Nathan A Dhaliwal, Alelie Diato, Roberto Di Paolo, Uwe Dulleck, Jānis Ekmanis, Tom W Etienne, Hapsa Hossain Farhana, Fahima Farkhari, Kristijan Fidanovski, Terry Flew, Shona Fraser, Raymond Boadi Frempong, Jonathan Fugelsang, Jessica Gale, E Begoña García-Navarro, Prasad Garladinne, Kurt Gray, Siobhán M Griffin, Bjarki Gronfeldt, June Gruber, Eran Halperin, Volo Herzon, Matej Hruška, Matthias F C Hudecek, Ozan Isler, Simon Jangard, Frederik Jørgensen, Oleksandra Keudel, Lina Koppel, Mika Koverola, Anton Kunnari, Josh Leota, Eva Lermer, Chunyun Li, Chiara Longoni, Darragh McCashin, Igor Mikloušić, Juliana Molina-Paredes, César Monroy-Fonseca, Elena Morales-Marente, David Moreau, Rafał Muda, Annalisa Myer, Kyle Nash, Jonas P Nitschke, Matthew S Nurse, Victoria Oldemburgo de Mello, M Soledad Palacios-Galvez, Yafeng Pan, Zsófia Papp, Philip Pärnamets, Mariola Paruzel-Czachura, Silva Perander, Michael Pitman, Ali Raza, Gabriel Gaudencio Rêgo, Claire Robertson, Iván Rodríguez-Pascual, Teemu Saikkonen, Octavio Salvador-Ginez, Waldir M Sampaio, Gaia Chiara Santi, David Schultner, Enid Schutte, Andy Scott, Ahmed Skali, Anna Stefaniak, Anni Sternisko, Brent Strickland, Jeffrey P Thomas, Gustav Tinghög, Iris J Traast, Raffaele Tucciarelli, Michael Tyrala, Nick D Ungson, Mete Sefa Uysal, Dirk Van Rooy, Daniel Västfjäll, Joana B Vieira, Christian von Sikorski, Alexander C Walker, Jennifer Watermeyer, Robin Willardt, Michael J A Wohl, Adrian Dominik Wójcik, Kaidi Wu, Yuki Yamada, Onurcan Yilmaz, Kumar Yogeeswaran, Carolin-Theresa Ziemer, Rolf A Zwaan, Paulo Sergio Boggio, Ashley Whillans, Paul A M Van Lange, Rajib Prasad, Michal Onderco, Cathal O'Madagain, Tarik Nesh-Nash, Oscar Moreda Laguna, Emily Kubin, Mert Gümren, Ali Fenwick, Arhan S Ertan, Michael J Bernstein, Hanane Amara, Jay Joseph Van Bavel, Brain and Cognition, Public 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Kent [Canterbury], Stanford University, Macquarie University, Norwegian School of Economics and Business Administration, SWPS University of Social Sciences and Humanities (SWPS), University of Birmingham [Birmingham], University of Oxford, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] (HSE), University of Amsterdam [Amsterdam] (UvA), Sunway University [Malaysia], University of the Witwatersrand [Johannesburg] (WITS), University of Toronto, National University of Sciences and Technology [Islamabad] (NUST), Comenius University in Bratislava, Macedonian Academy of Sciences and Arts [Skopje, North Macedonia] (MASA), Universidad de Huelva, University of Southampton, BRAC University, The Hebrew University of Jerusalem (HUJ), Erasmus University Rotterdam, Kieskompas, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Vienna [Vienna], Reichman University [Herzliya], Aalto University, Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), National Taiwan University [Taiwan] (NTU), HEMS School, BI Norwegian Business School [Oslo], University of Limerick (UL), Karolinska Institutet [Stockholm], University of Agder (UIA), Lehigh University [Bethlehem], Monk Prayogshala, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Eidgenössische Technische Hochschule Zürich - Swiss Federal Institute of Technology in Zürich (ETH Zurïch), University of Bayreuth, National School of Political and Administrative Studies (SNSPA), Plovdiv University 'Paisii Hilendarski', Indian Institute of Management Indore (IMM Indore), Institute of Social Sciences Belgrade, Queensland University of Technology [Brisbane] (QUT), Royal Holloway [University of London] (RHUL), University of London [London], National University of Political Studies and Public Administration, University of Latvia (LU), New York University [New York] (NYU), NYU System (NYU), University of Canterbury [Christchurch], Hebei University of Technology [Tianjin], Université Mohammed VI Polytechnique [Ben Guerir] (UM6P), AnsuR Technologies [Fornebu], Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD), Victoria University [Melbourne], University of Wrocław [Poland] (UWr), IMT Institute for Advanced Studies [Lucca], Université de Florence, Università degli Studi di Firenze = University of Florence (UniFI), London School of Economics and Political Science (LSE), TBS Education, Slovak Academy of Science [Bratislava] (SAS), Santa Catarina State University (UDESC), University of Bologna/Università di Bologna, Tribhuvan University, Shenzhen Univerisity [Shenzhen], University of Virginia, Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), University of Western Ontario (UWO), Université de Rennes 2 (UR2), Laboratoire de Psychologie Sociale et Cognitive (LAPSCO), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), University of British Columbia (UBC), University of Queensland [Brisbane], Pennsylvania State University (Penn State), Penn State System, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), The University of Sydney, University of Waterloo [Waterloo], University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), University of Colorado [Boulder], University of Regensburg, Kyiv School of economic (KSE), Linköping University (LIU), Monash University [Clayton], Ansbach University of Applied Sciences, Ludwig Maximilian University [Munich] (LMU), Department of Management - London School of Economics and Political Science (LSE), Questrom School of Business, Boston University [Boston] (BU), Dublin City University [Dublin] (DCU), University of Auckland [Auckland], Maria Curie-Sklodowska University (UMCS), City University of New York [New York] (CUNY), University of Alberta, Australian National University (ANU), University of Silesia in Katowice, Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Zhejiang University, Mackenzie Presbyterian University [São Paulo] (UPM), NYU Department of Psychology [New-York University], NYU System (NYU)-NYU System (NYU), University of Turku, City College of New York [CUNY] (CCNY), University of Groningen [Groningen], Carleton University, Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Faculté de Gouvernance, Sciences Économiques et Sociales [UM6P] (FGSES), University College of London [London] (UCL), Susquehanna University, University of Antwerp (UA), University of Exeter, University of Koblenz-Landau, Nicolaus Copernicus University [Toruń], University of California [San Diego] (UC San Diego), Kyushu University, Kadir Has University (KHAS), Harvard Business School, Harvard University, Vidyasagar College For Women, Koç University, Hult International Business School, Boǧaziçi üniversitesi = Boğaziçi University [Istanbul], Penn State Abington, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Penn State System, Communication Science, Network Institute, Communication Choices, Content and Consequences (CCCC), Social Psychology, IBBA, A-LAB, University of St Andrews. Philosophy, University of St Andrews. School of Psychology and Neuroscience, Pavlović, Tomislav [0000-0002-4470-3715], Azevedo, Flavio [0000-0001-9000-8513], De, Koustav [0000-0001-9562-0672], Riaño-Moreno, Julián C [0000-0003-4182-0550], Maglić, Marina [0000-0002-6851-4601], Gkinopoulos, Theofilos [0000-0003-1070-6245], Donnelly-Kehoe, Patricio Andreas [0000-0002-3738-9537], Payán-Gómez, César [0000-0002-0633-1332], Huang, Guanxiong [0000-0002-8588-1454], Kantorowicz, Jaroslaw [0000-0002-1186-5427], Birtel, Michèle D [0000-0002-2383-9197], Schönegger, Philipp [0000-0001-9930-487X], Capraro, Valerio [0000-0002-0579-0166], Santamaría-García, Hernando [0000-0001-9422-3579], Yucel, Meltem [0000-0002-7274-5971], Ibanez, Agustin [0000-0001-6758-5101], Rathje, Steve [0000-0001-6727-571X], Wetter, Erik [0000-0002-5821-6651], Stanojević, Dragan [0000-0002-3667-2461], van Prooijen, Jan-Willem [0000-0001-6236-0819], Hesse, Eugenia [0000-0002-9077-9833], Elbaek, Christian T [0000-0002-7039-4565], Franc, Renata [0000-0002-1909-2393], Pavlović, Zoran [0000-0002-9231-5100], Mitkidis, Panagiotis [0000-0002-9495-7369], Cichocka, Aleksandra [0000-0003-1703-1586], Alfano, Mark [0000-0001-5879-8033], Ross, Robert M [0000-0001-8711-1675], Sjåstad, Hallgeir [0000-0002-8730-1038], Nezlek, John B [0000-0003-4963-3637], Cislak, Aleksandra [0000-0002-9880-6947], Lockwood, Patricia [0000-0001-7195-9559], Abts, Koen [0000-0001-8546-8347], Agadullina, Elena [0000-0002-1505-1412], Amodio, David M [0000-0001-7746-0150], Apps, Matthew AJ [0000-0001-5793-2202], Aruta, John Jamir Benzon [0000-0003-4155-1063], Besharati, Sahba [0000-0003-2836-7982], Bor, Alexander [0000-0002-2624-9221], Choma, Becky [0000-0002-8286-8983], Ejaz, Waqas [0000-0002-2492-4115], Farmer, Harry [0000-0002-3684-0605], Findor, Andrej [0000-0002-5896-6989], Gjoneska, Biljana [0000-0003-1200-6672], Gualda, Estrella [0000-0003-0220-2135], Huynh, Toan LD [0000-0002-6653-7447], Imran, Mostak Ahamed [0000-0002-5101-3149], Israelashvili, Jacob [0000-0003-1289-223X], Kantorowicz-Reznichenko, Elena [0000-0001-8128-7290], Krouwel, André [0000-0003-0952-6028], Kutiyski, Yordan [0000-0003-0889-4232], Laakasuo, Michael [0000-0003-2826-6073], Lamm, Claus [0000-0002-5422-0653], Levy, Jonathan [0000-0003-1007-2393], Leygue, Caroline [0000-0002-0355-1030], Lin, Ming-Jen [0000-0002-7174-2226], Mansoor, Mohammad Sabbir [0000-0002-6541-3506], Marie, Antoine [0000-0002-7958-0153], Mayiwar, Lewend [0000-0003-1404-4779], Mazepus, Honorata [0000-0002-5005-9399], McHugh, Cillian [0000-0002-9701-3232], Olsson, Andreas [0000-0001-5272-7744], Otterbring, Tobias [0000-0002-0283-8777], Packer, Dominic [0000-0001-8420-6548], Palomäki, Jussi [0000-0001-6063-0926], Perry, Anat [0000-0003-2329-856X], Petersen, Michael Bang [0000-0002-6782-5635], Puthillam, Arathy [0000-0003-2426-8362], Rothmund, Tobias [0000-0003-2979-5129], Schmid, Petra C [0000-0002-9990-5445], Stadelmann, David [0000-0002-1211-9936], Stoica, Augustin [0000-0003-0585-1114], Stoyanov, Drozdstoy [0000-0002-9975-3680], Stoyanova, Kristina [0000-0001-8362-6444], Tewari, Shruti [0000-0003-1903-7252], Todosijević, Bojan [0000-0002-6116-993X], Torgler, Benno [0000-0002-9809-963X], Tsakiris, Manos [0000-0001-7753-7576], Tung, Hans H [0000-0001-5332-7582], Umbreș, Radu Gabriel [0000-0002-6121-4518], Vanags, Edmunds [0000-0003-1932-936X], Vlasceanu, Madalina [0000-0003-2138-1968], Vonasch, Andrew J [0000-0002-2784-5420], Zhang, Yucheng [0000-0001-9435-6734], Abad, Mohcine [0000-0002-4964-5411], Adler, Eli [0000-0002-9005-5536], Mdarhri, Hamza Alaoui [0000-0001-9831-6561], Antazo, Benedict [0000-0001-9993-8960], Ay, F Ceren [0000-0003-4444-2268], Ba, Mouhamadou El Hady [0000-0002-2707-1242], Barbosa, Sergio [0000-0003-1989-158X], Bastian, Brock [0000-0003-4619-3322], Berg, Anton [0000-0001-7143-762X], Białek, Michał [0000-0002-5062-5733], Bilancini, Ennio [0000-0002-2027-3992], Bogatyreva, Natalia [0000-0002-6024-2322], Boncinelli, Leonardo [0000-0003-0626-5133], Booth, Jonathan E [0000-0002-8563-4613], Borau, Sylvie [0000-0003-1564-0695], Buchel, Ondrej [0000-0002-0139-5513], de Carvalho, Chrissie Ferreira [0000-0002-1369-6188], Celadin, Tatiana [0000-0002-7743-3117], Cerami, Chiara [0000-0003-1974-3421], Chalise, Hom Nath [0000-0002-9301-6890], Cian, Luca [0000-0002-8051-1366], Cockcroft, Kate [0000-0002-6166-8050], Conway, Jane [0000-0003-3883-349X], Córdoba-Delgado, Mateo A [0000-0002-2264-7388], Crespi, Chiara [0000-0002-7851-9887], Crouzevialle, Marie [0000-0002-5538-6030], Cutler, Jo [0000-0003-1073-764X], Cypryańska, Marzena [0000-0001-9234-562X], Dabrowska, Justyna [0000-0002-8821-7161], Davis, Victoria H [0000-0002-7207-4629], Minda, John Paul [0000-0002-4081-010X], Dayley, Pamala N [0000-0001-8955-9502], Delouvée, Sylvain [0000-0002-4029-597X], Denkovski, Ognjan [0000-0002-9739-4100], Dezecache, Guillaume [0000-0002-9366-6287], Dhaliwal, Nathan A [0000-0002-4667-0689], Di Paolo, Roberto [0000-0002-6081-6656], Dulleck, Uwe [0000-0002-0953-5963], Ekmanis, Jānis [0000-0003-1781-1785], Etienne, Tom W [0000-0002-4299-6593], Farkhari, Fahima [0000-0002-8484-5128], Fidanovski, Kristijan [0000-0002-9006-0140], Flew, Terry [0000-0003-4485-9338], Fraser, Shona [0000-0003-1505-0652], Frempong, Raymond Boadi [0000-0002-4603-5570], Fugelsang, Jonathan [0000-0002-6342-7023], Gale, Jessica [0000-0001-5677-8629], García-Navarro, E Begoña [0000-0001-6913-8882], Gray, Kurt [0000-0001-5816-2676], Griffin, Siobhán M [0000-0002-3613-2844], Gronfeldt, Bjarki [0000-0001-9941-7903], Gruber, June [0000-0002-7789-1353], Halperin, Eran [0000-0002-3379-2935], Herzon, Volo [0000-0001-7781-1651], Hruška, Matej [0000-0002-4521-3697], Hudecek, Matthias FC [0000-0002-7696-766X], Isler, Ozan [0000-0002-4638-2230], Jangard, Simon [0000-0002-7876-4161], Jørgensen, Frederik [0000-0002-5461-912X], Keudel, Oleksandra [0000-0001-6322-3103], Koppel, Lina [0000-0002-6302-0047], Koverola, Mika [0000-0001-8227-6120], Kunnari, Anton [0000-0002-2951-6399], Leota, Josh [0000-0002-7714-4630], Lermer, Eva [0000-0002-6600-9580], Li, Chunyun [0000-0001-5909-0889], Longoni, Chiara [0000-0002-4945-4957], McCashin, Darragh [0000-0003-2686-2111], Mikloušić, Igor [0000-0002-6539-2901], Monroy-Fonseca, César [0000-0003-4696-8159], Morales-Marente, Elena [0000-0002-1227-9606], Moreau, David [0000-0002-1957-1941], Muda, Rafał [0000-0003-4953-6642], Myer, Annalisa [0000-0002-2363-4757], Nash, Kyle [0000-0003-0461-3835], Nitschke, Jonas P [0000-0002-3244-8585], Nurse, Matthew S [0000-0003-1787-5914], de Mello, Victoria Oldemburgo [0000-0003-2867-8529], Palacios-Galvez, Maria Soledad [0000-0002-6802-6202], Pan, Yafeng [0000-0002-5633-8313], Papp, Zsófia [0000-0001-6257-0568], Pärnamets, Philip [0000-0001-8360-9097], Paruzel-Czachura, Mariola [0000-0002-8716-9778], Perander, Silva [0000-0001-6711-8079], Pitman, Michael [0000-0001-5532-5388], Raza, Ali [0000-0002-2438-6054], Rêgo, Gabriel Gaudencio [0000-0003-3304-4723], Robertson, Claire [0000-0001-8403-6358], Rodríguez-Pascual, Iván [0000-0002-5385-3643], Saikkonen, Teemu [0000-0001-9619-3270], Salvador-Ginez, Octavio [0000-0002-1652-8788], Sampaio, Waldir M [0000-0002-6066-4314], Santi, Gaia Chiara [0000-0002-9253-6122], Schultner, David [0000-0003-2253-4065], Schutte, Enid [0000-0002-6653-5409], Scott, Andy [0000-0002-3294-0078], Skali, Ahmed [0000-0002-4753-3280], Stefaniak, Anna [0000-0002-1706-7784], Sternisko, Anni [0000-0002-2507-3076], Strickland, Brent [0000-0002-7573-3722], Thomas, Jeffrey P [0000-0002-5939-5559], Tinghög, Gustav [0000-0002-8159-1249], Tucciarelli, Raffaele [0000-0002-0342-308X], Tyrala, Michael [0000-0001-5268-8319], Ungson, Nick D [0000-0003-2494-4498], Uysal, Mete Sefa [0000-0002-8698-9213], Van Rooy, Dirk [0000-0003-2525-5408], Västfjäll, Daniel [0000-0003-2873-4500], Vieira, Joana B [0000-0001-7335-4588], von Sikorski, Christian [0000-0002-3787-8277], Walker, Alexander C [0000-0003-1431-6770], Watermeyer, Jennifer [0000-0001-7918-8832], Willardt, Robin [0000-0002-2495-3450], Wohl, Michael JA [0000-0001-6945-5562], Wójcik, Adrian Dominik [0000-0002-7073-6019], Wu, Kaidi [0000-0001-6881-7437], Yamada, Yuki [0000-0003-1431-568X], Yilmaz, Onurcan [0000-0002-6094-7162], Yogeeswaran, Kumar [0000-0002-1978-5077], Ziemer, Carolin-Theresa [0000-0002-0794-7702], Zwaan, Rolf A [0000-0001-9967-7879], Boggio, Paulo Sergio [0000-0002-6109-0447], Van Lange, Paul AM [0000-0001-7774-6984], Prasad, Rajib [0000-0003-0913-1624], Onderco, Michal [0000-0001-9911-3782], O'Madagain, Cathal [0000-0002-4086-524X], Nesh-Nash, Tarik [0000-0002-5532-9095], Kubin, Emily [0000-0003-0606-8594], Gümren, Mert [0000-0002-3298-6295], Fenwick, Ali [0000-0002-5412-9745], Ertan, Arhan S [0000-0001-9730-8391], Bernstein, Michael J [0000-0002-8083-9839], Amara, Hanane [0000-0003-0732-2320], Van Bavel, Jay Joseph [0000-0002-2520-0442], Apollo - University of Cambridge Repository, Sociale Psychologie (Psychologie, FMG), ASCoR Other Research (FMG), Department of Neuroscience and Biomedical Engineering, Aalto-yliopisto, Department of Digital Humanities, Department of Psychology and Logopedics, Cognitive Science, High Performance Cognition group, Mind and Matter, and Department of Computer Science

Subjects
Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi, Economics, COVID-19, social distancing, hygiene, policy support, public health measures, J Political Science, [SHS.PSY]Humanities and Social Sciences/Psychology, psychology, Settore SECS-P/02 - Politica Economica, Q1, H Social Sciences, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], SDG 3 - Good Health and Well-being, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Machine learning, Psychology, Nationalekonomi, Settore SECS-P/01 - Economia Politica, MCC, Computer. Automation, Psykologi (exklusive tillämpad psykologi), DAS, Health Care Service and Management, Health Policy and Services and Health Economy, [SHS.SCIPO]Humanities and Social Sciences/Political science, Psychology (excluding Applied Psychology), machine learning, Settore SECS-P/03 - Scienza delle Finanze, 5171 Political Science, Human medicine, COVID-19, social distancing, hygiene, policy support, public health measures
Abstract

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic., PNAS Nexus, 1 (3), ISSN:2752-6542

Published
2022

20. Modeling Data-Driven Dominance Traits for Virtual Characters Using Gait Analysis

Author

Kurt Gray, Aniket Bera, Dinesh Manocha, Tanmay Randhavane, and Emily Kubin

Subjects
FOS: Computer and information sciences, Adult, Male, Visual perception, Group method of data handling, Computer science, Feature extraction, Walking, 02 engineering and technology, Models, Psychological, Virtual reality, Machine learning, computer.software_genre, Data modeling, Young Adult, Computer Science - Graphics, Computer Graphics, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Humans, Learning, business.industry, Virtual Reality, 020207 software engineering, Computer Graphics and Computer-Aided Design, Gait, Graphics (cs.GR), Visualization, ComputingMethodologies_PATTERNRECOGNITION, Social Dominance, Gait analysis, Signal Processing, Female, Computer Vision and Pattern Recognition, Artificial intelligence, Gait Analysis, business, computer, Algorithms, Software
Abstract

We present a data-driven algorithm for generating gaits of virtual characters with varying dominance traits. Our formulation utilizes a user study to establish a data-driven dominance mapping between gaits and dominance labels. We use our dominance mapping to generate walking gaits for virtual characters that exhibit a variety of dominance traits while interacting with the user. Furthermore, we extract gait features based on known criteria in visual perception and psychology literature that can be used to identify the dominance levels of any walking gait. We validate our mapping and the perceived dominance traits by a second user study in an immersive virtual environment. Our gait dominance classification algorithm can classify the dominance traits of gaits with ˜73 percent accuracy. We also present an application of our approach that simulates interpersonal relationships between virtual characters. To the best of our knowledge, ours is the first practical approach to classifying gait dominance and generate dominance traits in virtual characters.

Published
2021

21. Why People Engage in Political Censorship

Author

Emily Kubin, Christian von Sikorski, and Kurt Gray

Abstract

People seem willing to censor disagreeable political and moral ideas. Five studies explore why people engage in political censorship and test a potential route to decreasing censorship. We find that perceptions of harm and lies are key for understanding political censorship. While Americans report being generally supportive of free speech and against censorship (Study 1), they are willing to censor ideas they see as harmful lies (Study 2)—which are often ideas from political opponents (Study 3). Building on work demonstrating the perceived truth of experiences, we test an experience-sharing intervention that, among college students, decreases the perception that controversial campus speakers are spreading harmful lies, thereby reducing students’ willingness to censor their ideas (Study 4). Reducing the perception of harmful lies via experience-sharing also reduces censorship behaviors (i.e., amending and redacting controversial political messages; Study 5).

Published
2022

22. Bridging Political Divides by Correcting the Basic Morality Bias

Author

Curtis Puryear, Emily Kubin, Chelsea Schein, Yochanan Bigman, and Kurt Gray

Abstract

Efforts to bridge political divides often focus on navigating complex and divisive issues. However, nine studies suggest that we should also focus on a more basic moral divide: the erroneous belief that political opponents lack a fundamental sense of right and wrong. This “basic morality bias” is tied to political dehumanization and is revealed by multiple methods, including natural language analyses from a large Twitter corpus, and a representative survey of Americans with incentives for accuracy. In the US, both Democrats and Republicans substantially overestimate the number of political outgroup members who approve of blatant wrongs (e.g., child pornography, embezzlement). Importantly, the basic morality bias can be corrected with a brief, scalable intervention. Providing information that just one political opponent condemns blatant wrongs increases willingness to work with political opponents and substantially decreases political dehumanization.

Published
2022

23. Threat Rejection Fuels Political Dehumanization

Author

Emily Kubin, Frank Kachanoff, and Kurt Gray

Subjects
Clinical Psychology, Social Psychology
Abstract

Americans disagree about many things, including what threats are most pressing. We suggest people morally condemn and dehumanize opponents when they are perceived as rejecting the existence or severity of important perceived threats. We explore perceived “threat rejection” across five studies ( N = 2,404) both in the real-world COVID-19 pandemic and in novel contexts. Americans morally condemned and dehumanized policy opponents when they seemed to reject realistic group threats (e.g., threat to the physical health or resources of the group). Believing opponents rejected symbolic group threats (e.g., to collective identity) was not reliably linked to condemnation and dehumanization. Importantly, the political dehumanization caused by perceived threat rejection can be soothed with a “threat acknowledgement” intervention.

Published
2022
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24. Identifying the domains of ideological similarities and differences in attitudes

Author

Emily Kubin, Mark J. Brandt, and Department of Social Psychology

Subjects
Social Psychology, media_common.quotation_subject, 05 social sciences, 050109 social psychology, 0501 psychology and cognitive sciences, Ideology, Sociology, 16. Peace & justice, 050105 experimental psychology, media_common, Epistemology
Abstract

Liberals and conservatives disagree, but are there some domains where we are more or less likely to observe ideological differences? To map the types of attitudes where we may be more or less likely to observe ideological differences, we draw on two approaches, the elective affinities approach, which suggests individual differences explains differences between liberals and conservatives, and the divergent content approach, which posits the key distinction between ideologues are their value orientations. The goal of the current research was to explore when and why liberals and conservatives disagree. We tested whether ideological differences are more likely to emerge in attitudes characterized by threat, complexity, morality, political ideology, religious ideology, or harm (as compared to objects not characterized by these domains) using both explicit and implicit measures of 190 attitude objects. While all domains predicted ideological differences, the political domain was the only significant predictor of ideological differences when controlling for the other domains. This study provides insight into which attitudes we are most and least likely to find ideological differences.Keywords: ideological differences, attitudes, ideology, threat, complexity

Published
2020

25. Ratings of Reasons for Disagreement about 95 Attitude Object Pairs and 190 Attitude Objects

Author

Emily Kubin and Mark J. Brandt

Subjects
attitudes, Attitude, media_common.quotation_subject, 05 social sciences, Social Psychology, Political Psychology, Attitudes, moral disagreement, 050109 social psychology, Morality, political disagree, religious disagreement, 050105 experimental psychology, BF1-990, Social group, Politics, Harm, aiid, Psychology, threat, harm, AIID, 0501 psychology and cognitive sciences, Social psychology, media_common
Abstract

In two questionnaire studies, participants rated whether disagreement about 95 attitude pairs or 190 individual attitudes were characterized by threat, complexity, morality, politics, and harm. The attitudes cover a range of different topics, from abstract concepts to social groups and political figures and are the same attitudes in the Attitudes, Identities, and Individual Differences Study (Hussey et al., 2018). The data sets include ratings of each attitude, as well as basic demographic information about the participants. Data can be combined with the Attitudes, Identities, and Individual Differences Study and can also be used to understand how some attitudes are perceived, which may be useful when planning studies.

Published
2021

26. Personal experiences bridge moral and political divides better than facts

Author

Emily Kubin, Curtis Puryear, Kurt Gray, and Chelsea Schein

Subjects
Rationalization, Analysis of Variance, Multidisciplinary, media_common.quotation_subject, Emotions, Politics, Linguistics, Rationality, Models, Theoretical, Morals, Morality, Harm, Attitude, Mediation, Moral psychology, Commentary, Humans, Narrative, Personal experience, Psychology, Social Media, Social psychology, media_common
Abstract

Both liberals and conservatives believe that using facts in political discussions helps to foster mutual respect, but 15 studies-across multiple methodologies and issues-show that these beliefs are mistaken. Political opponents respect moral beliefs more when they are supported by personal experiences, not facts. The respect-inducing power of personal experiences is revealed by survey studies across various political topics, a field study of conversations about guns, an analysis of YouTube comments from abortion opinion videos, and an archival analysis of 137 interview transcripts from Fox News and CNN. The personal experiences most likely to encourage respect from opponents are issue-relevant and involve harm. Mediation analyses reveal that these harm-related personal experiences increase respect by increasing perceptions of rationality: everyone can appreciate that avoiding harm is rational, even in people who hold different beliefs about guns, taxes, immigration, and the environment. Studies show that people believe in the truth of both facts and personal experiences in nonmoral disagreement; however, in moral disagreements, subjective experiences seem truer (i.e., are doubted less) than objective facts. These results provide a concrete demonstration of how to bridge moral divides while also revealing how our intuitions can lead us astray. Stretching back to the Enlightenment, philosophers and scientists have privileged objective facts over experiences in the pursuit of truth. However, furnishing perceptions of truth within moral disagreements is better accomplished by sharing subjective experiences, not by providing facts.

Published
2021

28. Identifying the domains of ideological similarities and differences in attitudes

Author

Mark Brandt and Emily Kubin

Subjects
PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Moral Behavior, PsyArXiv|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Politics, bepress|Social and Behavioral Sciences, PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Individual Differences, bepress|Social and Behavioral Sciences|Psychology|Social Psychology, bepress|Social and Behavioral Sciences|Psychology|Personality and Social Contexts, 16. Peace & justice, PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology, PsyArXiv|Social and Behavioral Sciences|Social and Personality Psychology|Attitudes and Persuasion
Abstract

Liberals and conservatives disagree, but are there some domains where we are more or less likely to observe ideological differences? To map the types of attitudes where we may be more or less likely to observe ideological differences, we draw on two approaches, the elective affinities approach, which suggests individual differences explains differences between liberals and conservatives, and the divergent content approach, which posits the key distinction between ideologues are their value orientations. The goal of the current research was to explore when and why liberals and conservatives disagree. We tested whether ideological differences are more likely to emerge in attitudes characterized by threat, complexity, morality, political ideology, religious ideology, or harm (as compared to objects not characterized by these domains) using both explicit and implicit measures of 190 attitude objects. While all domains predicted ideological differences, the political domain was the only significant predictor of ideological differences when controlling for the other domains. This study provides insight into which attitudes we are most and least likely to find ideological differences.

Published
2020

29. Data-driven modeling of group entitativity in virtual environments

Author

Tanmay Randhavane, Husam Shaik, Emily Kubin, Kurt Gray, Dinesh Manocha, and Aniket Bera

Subjects
FOS: Computer and information sciences, Group (mathematics), Computer science, business.industry, Psychological research, 05 social sciences, Computer Science - Human-Computer Interaction, 020207 software engineering, 02 engineering and technology, Virtual reality, Graphics (cs.GR), 050105 experimental psychology, Motion (physics), Human-Computer Interaction (cs.HC), Data-driven, Entitativity, Computer Science - Graphics, Crowds, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, Crowd simulation, Artificial intelligence, business
Abstract

We present a data-driven algorithm to model and predict the socio-emotional impact of groups on observers. Psychological research finds that highly entitative i.e. cohesive and uniform groups induce threat and unease in observers. Our algorithm models realistic trajectory-level behaviors to classify and map the motion-based entitativity of crowds. This mapping is based on a statistical scheme that dynamically learns pedestrian behavior and computes the resultant entitativity induced emotion through group motion characteristics. We also present a novel interactive multi-agent simulation algorithm to model entitative groups and conduct a VR user study to validate the socio-emotional predictive power of our algorithm. We further show that model-generated high-entitativity groups do induce more negative emotions than low-entitative groups., Accepted at VRST 2018, November 28-December 1, 2018, Tokyo, Japan

Published
2018

30. Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation

Author

Emily Kubin, Kurt Gray, Aniket Bera, Austin S. Wang, Tanmay Randhavane, and Dinesh Manocha

Subjects
0209 industrial biotechnology, Group (mathematics), Computer science, business.industry, 05 social sciences, 050109 social psychology, 02 engineering and technology, 020901 industrial engineering & automation, Crowds, Human–computer interaction, Intervention (counseling), Trajectory, Robot, 0501 psychology and cognitive sciences, Artificial intelligence, business
Abstract

We present a real-time, data-driven algorithm to enhance the social-invisibility of autonomous robot navigation within crowds. Our approach is based on prior psychological research, which reveals that people notice and-importantly-react negatively to groups of social actors when they have negative group emotions or entitativity, moving in a tight group with similar appearances and trajectories. In order to evaluate that behavior, we performed a user study to develop navigational algorithms that minimize emotional reactions. This study establishes a mapping between emotional reactions and multi-robot trajectories and appearances and further generalizes the finding across various environmental conditions. We demonstrate the applicability of our approach for trajectory computation for active navigation and dynamic intervention in simulated autonomous robot-human interaction scenarios. Our approach empirically shows that various levels of emotional autonomous robots can be used to both avoid and influence pedestrians while not eliciting strong emotional reactions, giving multi-robot systems socially-invisibility.

Published
2018

31. Identifying Driver Behaviors using Trajectory Features for Vehicle Navigation

Author

Kurt Gray, Aniket Bera, Dinesh Manocha, Ernest Cheung, and Emily Kubin

Subjects
FOS: Computer and information sciences, 050210 logistics & transportation, 0209 industrial biotechnology, Computer science, 05 social sciences, Real-time computing, Feature extraction, 02 engineering and technology, Set (abstract data type), Acceleration, Computer Science - Robotics, 020901 industrial engineering & automation, 0502 economics and business, Trajectory, Robotics (cs.RO)
Abstract

We present a novel approach to automatically identify driver behaviors from vehicle trajectories and use them for safe navigation of autonomous vehicles. We propose a novel set of features that can be easily extracted from car trajectories. We derive a data-driven mapping between these features and six driver behaviors using an elaborate web-based user study. We also compute a summarized score indicating a level of awareness that is needed while driving next to other vehicles. We also incorporate our algorithm into a vehicle navigation simulation system and demonstrate its benefits in terms of safer real-time navigation, while driving next to aggressive or dangerous drivers.

Published
2018

32. Pedestrian Dominance Modeling for Socially-Aware Robot Navigation

Author

Austin Wang, Aniket Bera, Dinesh Manocha, Emily Kubin, Kurt Gray, and Tanmay Randhavane

Subjects
FOS: Computer and information sciences, 0209 industrial biotechnology, Computer science, media_common.quotation_subject, 020207 software engineering, 02 engineering and technology, Pedestrian, Motion (physics), Computer Science - Robotics, 020901 industrial engineering & automation, Dominance (ethology), Human–computer interaction, Perception, 0202 electrical engineering, electronic engineering, information engineering, Trajectory, Robot, Robotics (cs.RO), media_common
Abstract

We present a Pedestrian Dominance Model (PDM) to identify the dominance characteristics of pedestrians for robot navigation. Through a perception study on a simulated dataset of pedestrians, PDM models the perceived dominance levels of pedestrians with varying motion behaviors corresponding to trajectory, speed, and personal space. At runtime, we use PDM to identify the dominance levels of pedestrians to facilitate socially-aware navigation for the robots. PDM can predict dominance levels from trajectories with ~85% accuracy. Prior studies in psychology literature indicate that when interacting with humans, people are more comfortable around people that exhibit complementary movement behaviors. Our algorithm leverages this by enabling the robots to exhibit complementing responses to pedestrian dominance. We also present an application of PDM for generating dominance-based collision-avoidance behaviors in the navigation of autonomous vehicles among pedestrians. We demonstrate the benefits of our algorithm for robots navigating among tens of pedestrians in simulated environments., Comment: To Appear in ICRA 2019

Published
2018
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33. The Role of Religious Orientation in Worldview Conflict

Author

Emily Kubin, Jarret T. Crawford, Mark J. Brandt, D.R. van Tongeren, and Department of Social Psychology

Subjects
LIFE, SECURITY, SENSE, 05 social sciences, Religious studies, 050109 social psychology, 0501 psychology and cognitive sciences, Sociology, TERROR MANAGEMENT, Terror management, Religious orientation, General Psychology, Epistemology
Abstract

Worldview conflict is a regular part of life. We typically encounter information that disagrees with or disconfirms the way we understand and make sense of the world. People usually respond negatively to such experiences; however, do responses depend, in part, on people's individual religious beliefs or orientations? We tested whether religious orientation (i.e., intrinsic, quest, religious fundamentalism) and religious involvement moderated the effects of worldview disagreement. Employing an experience sampling design, participants (N = 328) from three institutions across two countries completed responses five times per day for three days. They indicated whether or not they had experienced any religious or political worldview disagreement and completed indicators of their emotional responses, well-being, and humanity-esteem. Results indicated that across most indicators, religious orientation does not moderate the effects of worldview disagreement. Rather, regardless of religious orientation, people responded similarly. We discuss implications and suggestions for future research.

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