2023 |
Cehajic-Clancy S.; Olsson, A Threaten and affirm: The role of ingroup moral exemplars for promoting prosocial intergroup behaviour through affirming moral identity Journal Article Forthcoming Group Processes and Intergroup Relations, Forthcoming. Abstract | Links | BibTeX | Tags: Morality, Prosocial @article{Cehajic-Clancy2023, title = {Threaten and affirm: The role of ingroup moral exemplars for promoting prosocial intergroup behaviour through affirming moral identity}, author = {Cehajic-Clancy, S.; Olsson, A.}, doi = {10.31234/osf.io/y4mhw}, year = {2023}, date = {2023-03-31}, journal = {Group Processes and Intergroup Relations}, abstract = {Information about ingroup moral violations against outgroups evoke defensiveness resulting in low support for reparations to be provided to members of these groups. Yet, it remains unknown if reminders of ingroup harmdoings could also enhance moral engagement rather than disengagement. In this paper, we report experimental evidence from three studies (Ns = 625) set in the context of historical atrocities committed against indigenous people in Sweden demonstrating that high importance of individuals' moral identity led to increased prosocial behaviours benefiting the outgroup (reparations and outgroup monetary donation). The positive effects of moral identity on reparations and outgroup donation were independent and remained significant after controlling for group-based guilt, which is a known predictor of willingness to provide reparations. Furthermore, our research identified a pathway of affirming individuals' moral identity through stories of ingroup moral exemplars. Participants who learned about morally admirable behaviours performed by their ingroup fellows were more likely to endorse and engage in prosocial behaviours benefiting the outgroup. These effects were driven by an increased importance of participants' moral identity. Establishing ways of affirming threatened moral identity and, in that way, facilitating more prosocial and moral actions is important for contexts with a history of human right violations.}, keywords = {Morality, Prosocial}, pubstate = {forthcoming}, tppubtype = {article} } Information about ingroup moral violations against outgroups evoke defensiveness resulting in low support for reparations to be provided to members of these groups. Yet, it remains unknown if reminders of ingroup harmdoings could also enhance moral engagement rather than disengagement. In this paper, we report experimental evidence from three studies (Ns = 625) set in the context of historical atrocities committed against indigenous people in Sweden demonstrating that high importance of individuals' moral identity led to increased prosocial behaviours benefiting the outgroup (reparations and outgroup monetary donation). The positive effects of moral identity on reparations and outgroup donation were independent and remained significant after controlling for group-based guilt, which is a known predictor of willingness to provide reparations. Furthermore, our research identified a pathway of affirming individuals' moral identity through stories of ingroup moral exemplars. Participants who learned about morally admirable behaviours performed by their ingroup fellows were more likely to endorse and engage in prosocial behaviours benefiting the outgroup. These effects were driven by an increased importance of participants' moral identity. Establishing ways of affirming threatened moral identity and, in that way, facilitating more prosocial and moral actions is important for contexts with a history of human right violations. |
2022 |
T Pavlovic; F Azavedo; ... ; A Olsson; ..., Keudel ; O Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning Journal Article PNAS nexus, 2022. Abstract | Links | BibTeX | Tags: machine learning, Morality @article{T2022, title = {Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning}, author = {T Pavlovic; F Azavedo; ..., ; A Olsson; ..., ; O Keudel}, doi = {10.1093/pnasnexus/pgac093}, year = {2022}, date = {2022-07-05}, journal = {PNAS nexus}, 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.}, keywords = {machine learning, Morality}, pubstate = {published}, tppubtype = {article} } 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. |
2018 |
Pärnamets, P; Granwald, T; Olsson, A Building and Dismantling Trust: From Group Learning to Character Judgments Conference Proceedings of the 40th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Austin, TX, 2018. Abstract | Links | BibTeX | Tags: Decision making, Morality, Reinforcement learning, Trust @conference{P\"{a}rnamets2018, title = {Building and Dismantling Trust: From Group Learning to Character Judgments}, author = {P P\"{a}rnamets and T Granwald and A Olsson}, editor = {T T Rogers and M Rau and X Zhu and C W Kalish }, url = {http://www.emotionlab.se/wp-content/uploads/2018/08/P\"{a}rnamets-Granwald-Olsson-Building-and-Dismantling-Trust-From-Group-Learning-to-Character-Judgments-2018.pdf}, year = {2018}, date = {2018-08-13}, booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society}, pages = {1-6}, publisher = {Cognitive Science Society}, address = {Austin, TX}, abstract = {Trust is central to social behavior. In interactions between strangers some information about group affiliation is almost always available. Despite this, how group information is utilized to promote trust in interactions between strangers is poorly understood. Here we addressed this through a two-stage experiment where participants interacted with randomly selected members of two arbitrary groups and learnt their relative trustworthiness. Next, they interacted with four novel individuals from these two groups. Two members, one from each group, acted congruently with their group’s previous behavior while the other two acted incongruently. While participants readily learnt the group-level information in the first phase, this was swiftly discounted in favor of information about each individual partner’s actual behavior. We fit a reinforcement learning model which included a bias term capturing propensity to trust to the data from the first phase. The bias term from the RL model predicted participants’ initial behavior better than their expectations based on group membership. Pro-social tendencies and individuating information can overcome knowledge about group belonging.}, keywords = {Decision making, Morality, Reinforcement learning, Trust}, pubstate = {published}, tppubtype = {conference} } Trust is central to social behavior. In interactions between strangers some information about group affiliation is almost always available. Despite this, how group information is utilized to promote trust in interactions between strangers is poorly understood. Here we addressed this through a two-stage experiment where participants interacted with randomly selected members of two arbitrary groups and learnt their relative trustworthiness. Next, they interacted with four novel individuals from these two groups. Two members, one from each group, acted congruently with their group’s previous behavior while the other two acted incongruently. While participants readily learnt the group-level information in the first phase, this was swiftly discounted in favor of information about each individual partner’s actual behavior. We fit a reinforcement learning model which included a bias term capturing propensity to trust to the data from the first phase. The bias term from the RL model predicted participants’ initial behavior better than their expectations based on group membership. Pro-social tendencies and individuating information can overcome knowledge about group belonging. |
Under Review
2023 |
Cehajic-Clancy S.; Olsson, A Threaten and affirm: The role of ingroup moral exemplars for promoting prosocial intergroup behaviour through affirming moral identity Journal Article Forthcoming Group Processes and Intergroup Relations, Forthcoming. @article{Cehajic-Clancy2023, title = {Threaten and affirm: The role of ingroup moral exemplars for promoting prosocial intergroup behaviour through affirming moral identity}, author = {Cehajic-Clancy, S.; Olsson, A.}, doi = {10.31234/osf.io/y4mhw}, year = {2023}, date = {2023-03-31}, journal = {Group Processes and Intergroup Relations}, abstract = {Information about ingroup moral violations against outgroups evoke defensiveness resulting in low support for reparations to be provided to members of these groups. Yet, it remains unknown if reminders of ingroup harmdoings could also enhance moral engagement rather than disengagement. In this paper, we report experimental evidence from three studies (Ns = 625) set in the context of historical atrocities committed against indigenous people in Sweden demonstrating that high importance of individuals' moral identity led to increased prosocial behaviours benefiting the outgroup (reparations and outgroup monetary donation). The positive effects of moral identity on reparations and outgroup donation were independent and remained significant after controlling for group-based guilt, which is a known predictor of willingness to provide reparations. Furthermore, our research identified a pathway of affirming individuals' moral identity through stories of ingroup moral exemplars. Participants who learned about morally admirable behaviours performed by their ingroup fellows were more likely to endorse and engage in prosocial behaviours benefiting the outgroup. These effects were driven by an increased importance of participants' moral identity. Establishing ways of affirming threatened moral identity and, in that way, facilitating more prosocial and moral actions is important for contexts with a history of human right violations.}, keywords = {}, pubstate = {forthcoming}, tppubtype = {article} } Information about ingroup moral violations against outgroups evoke defensiveness resulting in low support for reparations to be provided to members of these groups. Yet, it remains unknown if reminders of ingroup harmdoings could also enhance moral engagement rather than disengagement. In this paper, we report experimental evidence from three studies (Ns = 625) set in the context of historical atrocities committed against indigenous people in Sweden demonstrating that high importance of individuals' moral identity led to increased prosocial behaviours benefiting the outgroup (reparations and outgroup monetary donation). The positive effects of moral identity on reparations and outgroup donation were independent and remained significant after controlling for group-based guilt, which is a known predictor of willingness to provide reparations. Furthermore, our research identified a pathway of affirming individuals' moral identity through stories of ingroup moral exemplars. Participants who learned about morally admirable behaviours performed by their ingroup fellows were more likely to endorse and engage in prosocial behaviours benefiting the outgroup. These effects were driven by an increased importance of participants' moral identity. Establishing ways of affirming threatened moral identity and, in that way, facilitating more prosocial and moral actions is important for contexts with a history of human right violations. |
2022 |
T Pavlovic; F Azavedo; ... ; A Olsson; ..., Keudel ; O Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning Journal Article PNAS nexus, 2022. @article{T2022, title = {Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning}, author = {T Pavlovic; F Azavedo; ..., ; A Olsson; ..., ; O Keudel}, doi = {10.1093/pnasnexus/pgac093}, year = {2022}, date = {2022-07-05}, journal = {PNAS nexus}, 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.}, keywords = {}, pubstate = {published}, tppubtype = {article} } 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. |
2018 |
Pärnamets, P; Granwald, T; Olsson, A Building and Dismantling Trust: From Group Learning to Character Judgments Conference Proceedings of the 40th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Austin, TX, 2018. @conference{P\"{a}rnamets2018, title = {Building and Dismantling Trust: From Group Learning to Character Judgments}, author = {P P\"{a}rnamets and T Granwald and A Olsson}, editor = {T T Rogers and M Rau and X Zhu and C W Kalish }, url = {http://www.emotionlab.se/wp-content/uploads/2018/08/P\"{a}rnamets-Granwald-Olsson-Building-and-Dismantling-Trust-From-Group-Learning-to-Character-Judgments-2018.pdf}, year = {2018}, date = {2018-08-13}, booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society}, pages = {1-6}, publisher = {Cognitive Science Society}, address = {Austin, TX}, abstract = {Trust is central to social behavior. In interactions between strangers some information about group affiliation is almost always available. Despite this, how group information is utilized to promote trust in interactions between strangers is poorly understood. Here we addressed this through a two-stage experiment where participants interacted with randomly selected members of two arbitrary groups and learnt their relative trustworthiness. Next, they interacted with four novel individuals from these two groups. Two members, one from each group, acted congruently with their group’s previous behavior while the other two acted incongruently. While participants readily learnt the group-level information in the first phase, this was swiftly discounted in favor of information about each individual partner’s actual behavior. We fit a reinforcement learning model which included a bias term capturing propensity to trust to the data from the first phase. The bias term from the RL model predicted participants’ initial behavior better than their expectations based on group membership. Pro-social tendencies and individuating information can overcome knowledge about group belonging.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } Trust is central to social behavior. In interactions between strangers some information about group affiliation is almost always available. Despite this, how group information is utilized to promote trust in interactions between strangers is poorly understood. Here we addressed this through a two-stage experiment where participants interacted with randomly selected members of two arbitrary groups and learnt their relative trustworthiness. Next, they interacted with four novel individuals from these two groups. Two members, one from each group, acted congruently with their group’s previous behavior while the other two acted incongruently. While participants readily learnt the group-level information in the first phase, this was swiftly discounted in favor of information about each individual partner’s actual behavior. We fit a reinforcement learning model which included a bias term capturing propensity to trust to the data from the first phase. The bias term from the RL model predicted participants’ initial behavior better than their expectations based on group membership. Pro-social tendencies and individuating information can overcome knowledge about group belonging. |