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The Crowd Psychology of Negative Mass Movements

This article explores the mass-psychological aspects of negative mass movements, examining the common elements and contributions from different scientific disciplines. It delves into social influence, psychological contagion, confirmation bias, and mass sentiment. The article also discusses the potential insights offered by behavioral sciences and neuroscience in understanding mass psychology.

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The Crowd Psychology of Negative Mass Movements

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  1. Image source: faz.net We are the people – wirsind das Volk!The crowd psychology of negative mass movements Thomas Brudermann, April 14, 2016

  2. http://www1.wdr.de/wdr-migration/pegida-150~_v-gseapremiumxl.jpghttp://www1.wdr.de/wdr-migration/pegida-150~_v-gseapremiumxl.jpg Th. Brudermann - Mass Psychology

  3. tagesschau.de kurier.at

  4. http://si.wsj.net wikimedia.org

  5. Aims & Motivation • What are common elements in these phenomena? • Mass-psychological aspects • How do different scientific disciplines contribute to the understanding of phenomena driven by mass psychology? Th. Brudermann - Mass Psychology

  6. Th. Brudermann - Mass Psychology

  7. Contemporary approaches Th. Brudermann - Mass Psychology

  8. Mass Psychology What haveBehavioral Sciencesto offer? Th. Brudermann - Mass Psychology

  9. Other-directedness • Conspicuous consumption (Veblen 1899) • Group conformity (Asch 1951) • Psychology of affiliation (Schachter 1959) • Groupthink (Janis 1971) • Contingent behaviour (Schelling 1978) • Reciprocity (Axelrod 1984, Fehr et al. 2002) Th. Brudermann - Mass Psychology

  10. Social influence • Social norm theory (Cialdini et al.) • Descriptive/injunctive norms • Compliance & conformity (Cialdini & Goldstein, 2004) • Goal of Accuracy • Goal of Affiliation • Goal of Maintaining a Positive Self-Concept • Reference groups • Two main behavioural traits: • Belonging to a collective • Standing out from the collective Th. Brudermann - Mass Psychology

  11. Psychological Contagion • Other-directedness becomes especially strong under two prerequisites: • Emotional arousal makes people more susceptible to psychological suggestion • Uncertainty: Unfamiliar situation for which experience is lacking (Schachter & Singer, 1962) • Given appropriate circumstances, an idea/opinion/emotion may spread like a virus • ‘Psychological virus’ Th. Brudermann - Mass Psychology

  12. Amsterdam, 4. May 2010 https://www.youtube.com/watch?v=B4n7wo8rvTM Spiegel.de Th. Brudermann - Mass Psychology

  13. Prerequisites for psychological masses • Appropriate circumstances • Situation that involves uncertainty + arousal, e.g. a major change, a shock, or a shift in economy/society (“Displacement” – Minsky 1991) • “Fruitful” environment (Pelzmann 2002) • Social mood / context (Casti, Prechter) • Randomness (Taleb 2006) Th. Brudermann - Mass Psychology

  14. Confirmation bias Th. Brudermann - Mass Psychology

  15. Confirmation bias & filter bubbles Th. Brudermann - Mass Psychology

  16. Mass sentiment • Emotion over reason, opinion over facts • Only one topic • Synchronization • No reflection, no critical elaboration • Thoroughgoingness & focusing, no compromises • Irrational exuberance • Decoupling of micromotives & macrobehaviour thumbs.dreamstime.com/z/demonstration-crowd-people-demonstrating-no-48499405.jpg Th. Brudermann - Mass Psychology

  17. What have Behavioral Sciences to offer? • Important insights on behavioral traits • Variety of methods which make up a good methodological canon • Observations on macro-level • Weak on aggregation • Method set not sufficient for directly studying mass psychology / mass phenomena • Lab experiments not possible • Surveys etc. are not helpful Th. Brudermann - Mass Psychology

  18. Mass Psychology What have Neurosciencesto offer? Th. Brudermann - Mass Psychology

  19. Neuroscience aims • How does the brain operate? • Neural correlates of behaviours • Neuroeconomics: Interdisciplinary science of decision making • Psychology • Behavioural Economics • Neuroscience Th. Brudermann - Mass Psychology

  20. Neuroscience methods (1) • Lesion studies • TMS (Transcranial magnetic stimulation) • Direct neuron measurement • Largely restricted to studies with animals • Imaging methods • PET (Positron emission tomography) • EEG (Electro-encephalogram) • fMRI http://www.uni-graz.at/psywww_psylab.htm Th. Brudermann - Mass Psychology

  21. Neuroscience methods (2) fMRI (functional Magnetic Resonance Imaging) • tracks blood flows using changes in magnetic properties • good spatial, but poor temporal resolution neuropsychology.uni-graz.at/methods_fmri.htm Th. Brudermann - Mass Psychology

  22. Neuroscience: General lessons • Highly integrated neural circuits are involved in decision making • No 1:1 mapping brain area ↔ brain function • Energy demand • Of all organs, the brain has by far the highest energy demand (50% of total body glucose utilization) • Deliberation is costly – and slow (mainly located in the pre-frontal cortex) • Brain allocates resources selfishly, but tries to economize on its scarce resources Th. Brudermann - Mass Psychology

  23. Neuroscience: General lessons (ctd.) • Implementation of brain efficiency (McKenzie et al., 2010) • Information selection: PFC otherwise would be overwhelmed by huge amounts of information • Habits & automated behaviour • Intuitive decisions & gut feelings • Other-directedness & mimicking • Primacy of affect (Damasio et al., 2001) • Emotional pre-evaluation of sensory information • Affective system is faster than deliberative system, but: • Deliberative system is able to over-write affective system Th. Brudermann - Mass Psychology

  24. Mirroring and Mimicking • Mirror neurons • Increase activity not only during the execution of certain actions, but also while observation of corresponding actions being performed by others (Keysers, 2009) • Supposed to play central role in other-directed behaviour (but disagreement on actual purpose) • Mirror neuron system(Bastiaansen et al., 2009) • Sharing actions in the pre-motor and parietal cortex, primarily at the level of motor goals • Sharing sensations in the somatosensory cortex • Affective sharing of emotions Th. Brudermann - Mass Psychology

  25. Example: Red pedestrian lights • If one pedestrian starts walking, an initial mirroring impulse is triggered • The more people walk, the stronger the impulse • Deliberative system: • Over-write impulse • Post-hoc rationalizing Th. Brudermann - Mass Psychology

  26. Alignment of preferences • Knowledge on the preferences of others alters individual preferences • fMRI insights (Mason et al. 2009) • Activity in medial prefrontal cortex (mPFC) differentiates between symbols that are / are not socially tagged • Activity in caudate (one part of reward system) differentiates between popular and unpopular symbols • Integrating activity in caudate and mPFC differentiate objects that have become valued as a result of social influence from those valued for non-social reasons. Th. Brudermann - Mass Psychology

  27. Alignment of perceptions (1) Which line has the same length as the line on the left? (Asch 1951) Are these two objects identical? (Shepard & Metzler 1971) en.wikipedia.org/wiki/File:MR_TMR.jpg Credits: Jennifer Oneske; adapted from Shepard & Metzler (1971) www.panarchy.org/asch/social.pressure.1955.html Adapted from Asch (1951) Th. Brudermann - Mass Psychology

  28. Alignment of perceptions (2) • Change in perception due to social influence (Berns et al. 2005) • Mental rotation tasks in group experiment • Erroneous answers by others alter activity in brain regions related to mental rotation (effect is stronger if false answer originates from other participants, not from a computer) • Non-conformity with others associated with increased amygdala and caudate activity Th. Brudermann - Mass Psychology

  29. What have Neurosciences to offer? • Enhances understanding for how brains operate • Not equipped for independent decision making • Rational deliberation only involved in a minority of decisions • Advances analysis of human decisions • Enrichment of behavioural models • Some are supported, some rejected • Methodological & technological constraints • But: Significant potential • Experiments embedded in artificial environments • Hence not very ‘social’ in a common sense Th. Brudermann - Mass Psychology

  30. Psychological contagion & thresholds • We are not immediately imitating whatever we see • Mirroring vs. deliberative system • Strength of signal matters • The more people perform a certain behaviour, the stronger the mimicking signal • Deliberative system • Has problems with handling uncertainties • Steps back under arousal • People are different! • Some are very susceptible to suggestion, some not at all • But: Being more rational does not mean being less emotional (De Martino et al., 2006) Th. Brudermann - Mass Psychology

  31. Contagion model • Individual “threshold”, depending on • Individual/Person: personality, experiences, current situation • Social: Environment & normative influence • Context / circumstances: General conditions, collective mood, economic climate etc. • Different thresholds for different suggestions/emotions T = f (Person  Environment  Circumstances) Th. Brudermann - Mass Psychology

  32. Mass Psychology What have Complexity Sciencesto offer? Th. Brudermann - Mass Psychology

  33. Bridging the micro-macro gap Agent-based Modeling • Model individuals and their interactions • Let them interact in simulation runs • Look what happens “Explanatory Modeling” Th. Brudermann - Mass Psychology

  34. “Thresholds” “Turn positive (negative), if at least 40% of contacts are positive (negative)” “Turn positive (negative), if at least 60% of contacts are positive (negative)”   Th. Brudermann - Mass Psychology

  35. Simulation results • Wide-spread propagation depends on interplay of several factors • Number (Influence) of Initial Agents • Communication channels (Neighbourhood/Network) • Randomness • Degree of Compactness among Initial Agents • Average Thresholds • Small Cause, large effect! Th. Brudermann - Mass Psychology

  36. Thresholds and Susceptibility • What happens, if agents (on average) get slightly more susceptible to psychological contagion? High susceptibility Low susceptibility “Turn positive, if x% of contacts are positive.” High susceptibility Low susceptibility Th. Brudermann - Mass Psychology

  37. Small change – large effect! “Turn positive, if at least x% of contacts are positive.” 0.9 % 2.9 % 21.3 % 95.5 % • Simulation details: • 8000 agents • Communication structure = Lattice • Neighbourhood size: ~5-50 (Reach = 3) • Thresholds: Normally distributed Standard deviation = 0.25 • Monte Carlo simulation, 100 runs per condition

  38. Small change – large effect! (ctd.) Average propagation rate Average thresholds Th. Brudermann - Mass Psychology

  39. Compactness of ‘initial agents’  low  medium  high Th. Brudermann - Mass Psychology

  40. Compactness vs. Susceptibility • Low susceptibility • Focused, compact movements attract more followers (but remain small) • High susceptibility • More followers are attracted in general • Less ‘compact’ movements are more successful Th. Brudermann - Mass Psychology

  41. What have complexity sciences to offer? • Modelling of interactions & aggregation • Individual behaviour  collective outcome • Mass propagation dependent on interplay of several factors, with susceptibility of individuals being crucial • Concept of critical mass has to be questioned • Utilization of data from various sources • No predictions • Extrapolations of results to a limited extent Th. Brudermann - Mass Psychology

  42. Lessons for contemporary movements • Psychological contagion is a basic element • Arousal + uncertainty • Human “hard-ware” makes us susceptible to comply with “the others” • Small changes in the context sometimes matter • Isolated weird group vs. mainstream movement Th. Brudermann - Mass Psychology

  43. Some final thoughts • Predictive vs. explanatory modeling • Chaotic elements make prediction difficult • Probabilistic assumptions • Emergence of catalysts (Trump) • Open question: validation • Basic mechanisms vs. concrete phenomenon • Limits of science and formalism • Stretching the limits with big data? • Mass psychology is just one part of the explanation Th. Brudermann - Mass Psychology

  44. Thank you for your attention. Thomas.Brudermann@uni-graz.at

  45. Critical mass • Concept from (nuclear) physics • “The smallest amount of fissile material needed for a sustained nuclear chain reaction. The critical mass of a fissionable material depends upon various factors, i.e. its nuclear properties, density, shape, enrichment, purity, temperature and surroundings. “ • Very popular in social sciences • “[...] the smallest fraction that will suffice to change the nature of the entirety.” (Drucker 1987) • “What all of the critical-mass models involve is some activity that is self-sustaining once the measure of that activity passes a certain minimum level.“ (Schelling 1978) Th. Brudermann - Mass Psychology

  46. Critical Mass (ctd.) "I can calculate the motions of the heavenly bodies, but not the madness of people.“ Isaac Newton (quoted from Kindleberger 1978/2005, p.41) www.newton.ac.uk/art/portrait.html Th. Brudermann - Mass Psychology

  47. Adding to the socionomics perspective • Not critical mass, but susceptibility to certain ‘ideas’ (e.g. , ) is crucial • Slight shifts in susceptibility may determine whether ideas (e.g. , ) go viral or not • These thresholds are affected by social mood • The formation of social mood yet remains a mystery Th. Brudermann - Mass Psychology

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