TY - CHAP A1 - Morgan, Jonathan Howard A1 - Zhao, Jun A1 - Zöller, Nikolas A1 - Sedlacek, Andrea A1 - Chen, Lena A1 - Piper, Hayley A1 - Beck, Yliana A1 - Rogers, Kimberly B. A1 - Hoey, Jesse A1 - Schröder, Tobias T1 - Modeling the Culture of Online Collaborative Groups with Affect Control Theory T2 - Advances in Social Simulation N2 - We review Affect Control Theory (ACT) as a promising basis for equipping computational agents in social simulations with a sense of sociality. ACT is a computational theory that integrates sociological insights about the symbolic construction of the social order with psychological knowledge about cognitive-affective mechanisms. After explaining the theoretical foundations of ACT and applications of the theory at the dyadic and group level, we describe a case study applying the theory from an ongoing research project examining self-organized online collaboration in software development. KW - Culture KW - Affect KW - Gruppendynamik KW - Kollaboration Y1 - 2021 SN - 978-3-030-61503-1 U6 - https://doi.org/10.1007/978-3-030-61503-1_14 SP - 147 EP - 160 PB - Springer CY - Cham ER - TY - CHAP A1 - Schröder, Tobias A1 - Wolf, Ingo ED - Schmitt, Claudia Thea ED - Bamberg, Eva T1 - Psychologische Aspekte nachhaltiger Mobilität BT - Struktur und Dynamik von Einstellungen zu Mobilitätsinnovationen T2 - Psychologie und Nachhaltigkeit N2 - Technologische und soziale Innovationen scheinen derzeit viele Perspektiven für eine Transformation des Mobilitätssektors hin zu mehr Nachhaltigkeit zu eröffnen. Ob und wie sich das menschliche Mobilitätsverhalten den neuen Möglichkeiten anpasst, ist allerdings eine offene Frage, die psychologischer Forschung bedarf. Wir stellen in unserem Beitrag eine neue Theorie der Mobilitätseinstellungen vor, die Ansätze zur emotionalen Kohärenz menschlicher Entscheidungen aus der Kognitionswissenschaft mit soziologischen Theorien der Informationsdiffusion in sozialen Netzwerken kombiniert. Daten aus einer aktuellen, groß angelegten empirischen Studie zeigen, dass die emotionale Verankerung des Autos mit Verbrennungsmotor im individuellen Privatbesitz immer noch groß ist. Für die erfolgreiche Verbreitung innovativer und nachhaltiger Mobilitätskonzepte in der Gesellschaft wird entscheidend sein, ob neben technologischen Entwicklungen auch eine breite Transformation von Einstellungen in der Bevölkerung erreicht werden kann. KW - Nachhaltigkeit KW - Mobilität KW - Entscheidungsprozess Y1 - 2018 SN - 978-3-658-19964-7 U6 - https://doi.org/10.1007/978-3-658-19965-4_17 SP - 203 EP - 213 PB - Springer Gabler CY - Wiesbaden ER - TY - RPRT A1 - Hoey, Jesse A1 - Nagappan, Meiyappan A1 - Rogers, Kimberly B. A1 - Schröder, Tobias A1 - Dametto, Diego A1 - De Zoysa, Nalin A1 - Iyer, Rahul A1 - Morgan, Jonathan H. A1 - Rishi, Deepak A1 - Sirianni, Antonio D. A1 - Yun, Seonghu A1 - Zhao, Jun A1 - Zöller, Nikolas T1 - Theoretical and Empirical Modeling of Identity and Sentiments in Collaborative Groups N2 - Theoretical and Empirical Modeling of Identity and Sentiments in Collaborative Groups (THEMIS.COG) was an interdisciplinary research collaboration of computer scientists and social scientists from the University of Waterloo (Canada), Potsdam University of Applied Sciences (Germany), and Dartmouth College (USA). This white paper summarizes the results of our research at the end of the grant term. Funded by the Trans-Atlantic Platform’s Digging Into Data initiative, the project aimed at theoretical and empirical modeling of identity and sentiments in collaborative groups. Understanding the social forces behind self-organized collaboration is important because technological and social innovations are increasingly generated through informal, distributed processes of collaboration, rather than in formal organizational hierarchies or through market forces. Our work used a data-driven approach to explore the social psychological mechanisms that motivate such collaborations and determine their success or failure. We focused on the example of GitHub, the world’s current largest digital platform for open, collaborative software development. In contrast to most, purely inductive contemporary approaches leveraging computational techniques for social science, THEMIS.COG followed a deductive, theory-driven approach. We capitalized on affect control theory, a mathematically formalized theory of symbolic interaction originated by sociologist David R. Heise and further advanced in previous work by some of the THEMIS.COG collaborators, among others. Affect control theory states that people control their social behaviours by intuitively attempting to verify culturally shared feelings about identities, social roles, and behaviour settings. From this principle, implemented in computational simulation models, precise predictions about group dynamics can be derived. It was the goal of THEMIS.COG to adapt and apply this approach to study the GitHub collaboration ecosystem through a symbolic interactionist lens. The project contributed substantially to the novel endeavor of theory development in social science based on large amounts of naturally occurring digital data. KW - Computational social science KW - GitHub KW - Gruppendynamik KW - Sozialpsychologie Y1 - 2021 U6 - https://doi.org/10.31235/osf.io/4hukx SP - 1 EP - 36 ER - TY - JOUR A1 - Sirianni, Antonio D. A1 - Morgan, Jonathan H. A1 - Zöller, Nikolas A1 - Rogers, Kimberly B. A1 - Schröder, Tobias T1 - Complements and Competitors BT - The Co-functionality and Co-diffusion of Languages on a Collaborative Coding Platform N2 - The vast majority of research on the diffusion of innovations focuses on how one particular idea or technology spreads across a network of connected individuals, or a population more generally. Diffusive processes are typically considered either in isolation. We consider innovations themselves as nodes in a larger network, and look at how individual innovations can spread with or against one another in a larger community of potential adopters. Using a large publicly-available data set, custom-designed measurements, and network analysis methods, we present a temporal analysis of a set of technological innovations. Specifically, we examine how coding languages spread across users on GitHub, an online platform for collaborative coding. By looking at which languages co-appear in individual projects, we develop network based measurements of how frequently languages appear together in the same coding projects (functional cohesion), and how similar two languages are in terms of how often they co-appear with other languages in coding projects (functional equivalence). We also assess two types of diffusion, one form where users of one language become users of an additional language (complementary or 'piggybacking' diffusion), and another where users of one language abandon one language for another (competitive or 'cannibalistic' diffusion). Using MR-QAP Regression Techniques, we find strong evidence that functional cohesion positively predicts complementary diffusion. We also find some evidence that functional equivalence predicts competitive diffusion. More broadly, we find support for the idea that the networks of functional relationships between innovations is important for understanding diffusive processes. KW - Soziologie KW - Kommunikation Y1 - 2023 U6 - https://doi.org/10.31235/osf.io/bfmy2 SP - 1 EP - 23 ER - TY - JOUR A1 - Hoey, Jesse A1 - Schröder, Tobias T1 - Disruption of Social Orders in Societal Transitions as Affective Control of Uncertainty JF - American behavioral scientist N2 - Bayesian affect control theory is a model of affect-driven social interaction underconditions of uncertainty. In this paper, we investigate how the operationalization of uncertainty in the model can be related to the disruption of social orders—societal pressures to adapt to ongoing environmental and technological change. First, we study the theoretical tradeoffs between three kinds of uncertainty as groups navigate external problems: validity (the predictability of the environment, including of other agents), coherence (the predictability of interpersonal affective dynamics), and dependence (the predictability of affective meanings). Second, we discuss how these uncertainty tradeoffs are related to contemporary political conflict and polarization in the context of societal transitions. To illustrate the potential of our model to analyze the socio-emotional consequences of uncertainty, we present a simulation of diverging individual affective meanings of occupational identities under uncertainty in a climate change mitigation scenario based on events in Germany. Finally, we sketch a possible research agenda to substantiate the novel, but yet mostly conjectural, ideas put forward in this paper. T2 - Störung sozialer Ordnungen in gesellschaftlichen Übergängen als affektive Kontrolle von Ungewissheit Y1 - 2023 U6 - https://doi.org/10.1177/00027642211066055 SN - 1552-3381 VL - 67 IS - 2 SP - 311 EP - 331 PB - Sage Publ. CY - Thousand Oaks ER - TY - JOUR A1 - Wolf, Ingo A1 - Schröder, Tobias T1 - The critical role of emotional communication for motivated reasoning JF - Scientific reports N2 - Persuasive appeals frequently prove ineffective or produce unintended outcomes, due to the presence of motivated reasoning. Using the example of electric cars adoption, this research delves into the impact of emotional content, message valence, and the coherence of pre-existing attitudes on biased information evaluation. By conducting a factorial survey (N = 480) and incorporating a computational model of attitude formation, we aim to gain a deeper insight into the cognitive-affective mechanisms driving motivated reasoning. Our experimental findings reveal that motivated reasoning is most pronounced when persuasive appeals employ a combination of emotional and rational elements within a negatively valenced argument. Furthermore, our computational model, which estimates belief and affect adjustments underlying attitude changes, elucidates how message framing influences cognitive-affective processes through emotional coherence. The results provide support for a negative correlation between shifts in coherence in response to new information and the propensity for motivated reasoning. The research contributes to computational models of opinion dynamics and social influence, offering a psychologically realistic framework for exploring the impact of individual reasoning on population-level dynamics, particularly in policy contexts, where it can enhance communication and informed policy discussions. KW - Elektrofahrzeug KW - Meinungsbildung Y1 - 2024 U6 - https://doi.org/10.1038/s41598-024-81605-6 SN - 2045-2322 IS - 14 SP - 1 EP - 13 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Sirianni, Antonio D. A1 - Morgan, Jonathan H. A1 - Zöller, Nikolas A1 - Rogers, Kimberly B. A1 - Schröder, Tobias T1 - Complements and competitors BT - Examining technological co-diffusion and relatedness on a collaborative coding platform JF - PNAS nexus N2 - Diffusive and contagious processes spread in the context of one another in connected populations. Diffusions may be more likely to pass through portions of a network where compatible diffusions are already present. We examine this by incorporating the concept of “relatedness” from the economic complexity literature into a network co-diffusion model. Building on the “product space” concept used in this work, we consider technologies themselves as nodes in “product networks,” where edges define relationships between products. Specifically, coding languages on GitHub, an online platform for collaborative coding, are considered. From rates of language co-occurrence in coding projects, we calculate rates of functional cohesion and functional equivalence for each pair of languages. From rates of how individuals adopt and abandon coding languages over time, we calculate measures of complementary diffusion and substitutive diffusion for each pair of languages relative to one another. Consistent with the principle of relatedness, network regression techniques (MR-QAP) reveal strong evidence that functional cohesion positively predicts complementary diffusion. We also find limited evidence that functional equivalence predicts substitutive (competitive) diffusion. Results support the broader finding that functional dependencies between diffusive processes will dictate how said processes spread relative to one another across a population of potential adopters. KW - Computational social science KW - Innovation KW - Netzwerk Y1 - 2024 U6 - https://doi.org/10.1093/pnasnexus/pgae549 SN - 2752-6542 VL - 3 IS - 12 SP - 1 EP - 13 PB - Oxford University Press CY - Oxford ER - TY - JOUR A1 - Dametto, Diego A1 - Vieira, Luc A1 - Schröder, Tobias A1 - Blaison, Christophe T1 - Charlemagne’s Legacy BT - A Consensus Analysis of Affective Meanings in French and German Culture JF - Social Psychology Quarterly N2 - We investigate between- and within-country consensus about affective meanings of social identities along the evaluation, potency, and activity dimensions from the affect control theory research tradition. Ratings for 387 (194 male and 193 female) identities were collected from two samples representative of the French (N = 700) and German (N = 700) populations for age, gender, and region. Guided by two preregistered hypotheses based on previous cross-cultural research, our analysis points to considerable cultural consensus between French and Germans who seem to share a common “Carolingian” affective culture; yet some culture-specific patterns concerning the evaluation dimension and evaluation-potency interactions were found to be statistically significant. We interpret these results in terms of known cross-cultural features such as power distance and conceptions of power. KW - Karlssage KW - Semasiologie Y1 - 2023 U6 - https://doi.org/10.1177/01902725231205855 SN - 0190-2725 SN - 1939-8999 VL - 87 SP - 479 EP - 500 PB - Sage Publications CY - London ER - TY - JOUR A1 - Wijermans, Nanda A1 - Scholz, Geeske A1 - Paolillo, Rocco A1 - Schröder, Tobias A1 - Chappin, Emile A1 - Craig, Tony A1 - Templeton, Anne T1 - Models in Social Psychology and Agent-Based Social Simulation BT - An Interdisciplinary Conversation on Similarities and Differences JF - Review of Artificial Societies and Social Simulation N2 - Understanding how individual or group behaviour are influenced by the presence of others is something both social psychology and agent-based social simulation are concerned with. However, there is only limited overlap between these two research communities, which becomes clear when terms such as “variable”, “prediction”, or “model” come into play, and we build on their different meanings. This situation challenges us when working together, since it complicates the uptake of relevant work from each community and thus hampers the potential impact that we could have when joining forces. KW - Sozialpsychologie Y1 - 2022 UR - https://rofasss.org/2022/10/04/models-in-spabss/ SN - 2732-5903 SP - 1 EP - 5 CY - Tromsø ER - TY - CHAP A1 - Schröder, Tobias ED - Senge, Konstanze ED - Schützeichel, Rainer ED - Zink, Veronika T1 - David Heise: Expressive Order BT - Confirming Sentiments in Social Action T2 - Schlüsselwerke der Emotionssoziologie N2 - In der sozialen Interaktion streben Menschen danach, Dinge zu erleben, die sie schon wissen. So fasst David seine Affektsteuerungstheorie (Affect Control Theory) gerne in einem Satz zusammen. Das Bedürfnis nach Bestätigung sozialen Wissens fasst er als Motor der Interpretation und Ausführung sozialer Handlungen auf. KW - Computersimulation KW - Handlungsregulation KW - Identität KW - Kybernetik KW - Symbolischer Interaktionismus KW - Computational Social Science KW - Affect Control Theory KW - Affektsteuerungstheorie Y1 - 2022 SN - 978-3-658-37869-1 U6 - https://doi.org/10.1007/978-3-658-37869-1_29 SP - 263 EP - 272 PB - Springer VS CY - Wiesbaden ET - 2. Auflage ER -