What is Behavioural Contagion?

Introduction

Behavioural contagion is a form of social contagion involving the spread of behaviour through a group (Social contagion involves behaviour, emotions, or conditions spreading spontaneously through a group or network). It refers to the propensity for a person to copy a certain behaviour of others who are either in the vicinity, or whom they have been exposed to. The term was originally used by Gustave Le Bon in his 1895 work The Crowd: A Study of the Popular Mind to explain undesirable aspects of behaviour of people in crowds. In the digital age, behavioural contagion is also concerned with the spread of online behaviour and information. A variety of behavioural contagion mechanisms were incorporated in models of collective human behaviour.

Behavioural contagion has been attributed to a variety of different factors. Often it is distinguished from collective behaviour that arises from a direct attempt at social influence. A prominent theory involves the reduction of restraints, put forth by Fritz Redl in 1949 and analysed in depth by Ladd Wheeler in 1966. Social psychologists acknowledge a number of other factors, which influence the likelihood of behavioural contagion occurring, such as deindividuation (Festinger, Pepitone, & Newcomb, 1952) and the emergence of social norms (Turner, 1964). In 1980, Freedman et al. have focused on the effects of physical factors on contagion, in particular, density and number.

J.O. Ogunlade (1979, p. 205) describes behavioural contagion as a “spontaneous, unsolicited and uncritical imitation of another’s behavior” that occurs when certain variables are met:

  • a) the observer and the model share a similar situation or mood (this is one way behavioural contagion can be readily applied to mob psychology);
  • b) the model’s behaviour encourages the observer to review his condition and to change it;
  • c) the model’s behaviour would assist the observer to resolve a conflict by reducing restraints, if copied; and
  • d) the model is assumed to be a positive reference individual.

Types of Contagion

Social contagion can occur through threshold models that assume that an individual needs to be convinced by a fraction of their social contacts above a given threshold to adopt a novel behaviour. Therefore, the number of exposures will not increase chances of contagion unless the number of source exposures pass a certain threshold. The threshold value can divide contagion processes to two types:

  • 1) Simple contagion; and
  • 2) Complex contagion.

Simple Contagion

The individual needs only one person displaying the novel behaviour to copy. For instance, cars travel in groups on a two-lane highway since the car in each cluster travels at a slower speed than the car behind it. This relative speed spreads through other cars who slow down to match the speed of the car in front.

Complex Contagion

The individual needs to be in contact with two or more sources exhibiting the novel behaviour. This is when copying behaviours needs reinforcement or encouragement from multiple sources. Multiple sources, especially close friends, can make imitation legitimate, credible and worthwhile due to collective effort put in. Examples of complex contagions can be copying risky behaviour or joining social movements and riots.

Factors

Strength of Ties

Social contagion in simple contagion models occurs most effectively through ‘weak’ and ‘long’ ties between social contacts. A ‘weak’ tie between two people means they do not interact as frequently and do not influence each other as close friends. However, a relationally ‘weak’ tie is structurally strong if it is ‘long’ because it connects socially distant people, showing greater outreach than a relationally ‘strong’ tie. These ‘long’ ties allow the flow of new information increasing rate of transmission that relationally strong ties cannot do. Even though close friends can strongly influence each other, they will not help each other learn about new opportunities, ideas or behaviours in socially distant settings if they all know the same things. Few ‘weak’ and ‘long’ ties can help spread information quickly between two socially distant strong networks of people. ‘Strong’ ties within those networks can help spread information amongst the peers.

On the other hand, complex social contagion processes require multiple sources of influence. This is not possible with few ‘weak’ ties: they need to be long and multiple in number to increase the probability of imitation between socially distant networks.

Structural Equivalence

However, social contagion can also occur in the absence of any ties during competition. This happens when two people are structurally equivalent i.e., they occupy the same position in a social network and have the same pattern of relationships with the same people. For instance, two students publishing the same kind of research under the same professor are structurally equivalent. The more similar their relations are with other people i.e. the more substitutable they are with one another, the more they will copy what the other is doing, if it makes them look better, to stay ahead of competition.

Reduction of Restraints

Behavioural contagion is a result of the reduction of fear or restraints – aspects of a group or situation which prevent certain behaviours from being performed (restraints or self-control is an aspect of inhibitory control, one of the core executive functions). Restraints are typically group-derived, meaning that the “observer”, the individual wishing to perform a certain behaviour, is constrained by the fear of rejection by the group, who would view this behaviour as a “lack of impulse control”.

An individual (the “observer”) wants to perform some behaviour, but that behaviour would violate the unspoken and accepted rules of the group or situation they are in; these rules are the restraints preventing the observer from performing that action. Once the restraints are broken or reduced the observer is then “free” to perform the behaviour; this is achieved by the “intervention” of the model. The model is another individual, in the same group or situation as the observer, who performs the behaviour which the observer wished to perform. Stephenson and Fielding (1971) describe this effect as “[Once] one member of a gathering has performed a commonly desired action, the payoffs for similar action or nonaction are materially altered. … [The] initiator, by his action, establishes an inequitable advantage over the other members of the gathering which they may proceed to nullify by following his example.”

Density and Number

Density refers to the amount of space available to a person – high density meaning there is less space per person – and number refers to the size of the group. Freedman (1975) put forth the intensification theory, which posits that high density makes the other people in a group more salient features of the environment, this magnifying the individual’s reaction to them. Research has shown that high density does in fact increase the likelihood of contagion (Freedman, 1975; Freedman, Birsky, & Cavoukian, 1980). Number also has an effect on contagion, but to a lesser degree than density.

Local Trend Imitation

However, the probability that an individual will copy a behaviour can also decrease with higher density and number of neighbours. For instance, a person might praise and go to a restaurant with good food based on others’ recommendations but avoid it when it becomes over-crowded. This depicts the local trend imitation phenomenon i.e. the adoption probability first increases with increase in number of adopted neighbours and then decreases.

Identity of the Model

Stephenson and Fielding (1971, p.81) state that the identity of the model is a factor that influences contagion. Depending on the behaviour, sex of the model may be a factor in the contagion of that behaviour being performed by other individuals – particularly in instances of adult models performing aggressive behaviour in the presence of children-observers (Bandura, Ross, & Ross, 1963) {Imitation of film-mediated aggressive models}. In this particular series of experiments – Albert Bandura’s Bobo doll experiments from 1961 and 1963 – where the behaviour of children was studied after the children watched an adult model punching a bobo doll and the model received a reward, a punishment, or there were no consequences, the analyses revealed that the male model influenced the participants’ behaviour to a greater extent than did the female model; this was true for both the aggressive and the nonaggressive male models (p.581).

Dominant Leaders

Aggressive behaviour or using coercion, fear or intimidation to imitate a behaviour is known as dominance. People are likely to follow dominant leaders to avoid the cost of punishment. However, such behaviour is more influential amongst children rather than adults: coercive children are thought to be more likeable whereas coercive adults are less likeable and, hence, influential.

Prestigious Influencers

While dominant behaviour is displayed in the animal kingdom as well, prestigious behaviour is unique to humans. Unlike animals, we understand the intentions behind someone’s actions rather than just being able to copy their movements precisely. This is important since it is easier to learn from the best models rather than learning by ourselves: We might know which behaviour contributes to someone’s success at mastering a skill. Hence, we look to see who everyone else is copying i.e. we tend to copy prestigious individuals. Prestigious people enjoy a high degree of influence and respect and are generally the people with the most information.

Ordinary People

A study done on the rate of information transmission via retweets on Twitter found that popular people i.e. people with a large following, are ‘inefficient hubs’ in spreading concepts. The more followers someone has, the more overloaded they are with information and lower the chances that they will retweet a particular message due to limited attention. Hence, rate of social contagion slows down.

Rather, social contagion can amplify amongst ‘ordinary’ users with low following if they are closely connected in a peer network. People are more likely to retweet messages by close friends to facilitate social bonding. Peers also have higher similar interests and are more influenced by each other than an ‘ordinary’ and ‘popular’ user who do not have mutual ties. Hence, social contagion can occur efficiently amongst tight community structures, in the absence of prestigious and dominant leaders.

Media

Mass media can greatly influence people’s opinions and amplify social contagion by reporting stories from socially distant and unconnected networks. They can help to turn minority opinions into the popular opinion, independent of the degree of connectivity between people.

Moreover, Bandura (1977) showed that children can learn and imitate fictitious characters on television.

Personality of the Observer

Ogunlade (1979) found that extroverts, who are described as impulsive and sociable individuals, are more likely to be susceptible to contagion than introverted individuals, who are described as reserved and emotionally controlled.

Social Norms

Gino, Ayal and Ariely (2009, p.394) state that an important factor influencing contagion is the degree to which the observer identifies with the others of the group. When identification with the rest of the group is strong, the behaviours of the others will have a larger influence.

However, high homophily or the likelihood of being connected to others with similar interests, can lead to both minority and majority groups overestimating their sizes and vice versa. This can cause people to falsely predict the frequency of their behaviour in the real world since they estimate based on their personal networks. When people overestimate the frequency of a particular behaviour, they may think that they are following social norms and, hence, are less willing to change. Encouraging interactions within heterophilic rather than homophilic social networks can facilitate social contagion more.

Similarities and Differences with Other Types of Social Influence

Contagion is only one of a myriad of types of social influence.

Conformity/Social Pressures

Conformity is a type of social influence that is very similar to contagion. It is almost identical to another type of social influence, “pressures toward uniformity” (social pressures) (Festinger, 1954), which differ only in the research techniques they are associated with (Wheeler, 1966, p.182).

Both conformity and contagion involve some sort of conflict, but differ in the roles other individuals play in that conflict. In conformity, the other individuals of the group try to pressure the observer into performing a behaviour; the model then performs some other behaviour in the vicinity of the observer. This results in the observer creating restraints against the pressured behaviour and a conflict between the pressured behaviour and the behaviour performed by the model. In the end, the observer either performs the model’s behaviour his-/herself, rejects the model, or pressures the model to perform the original pressured behaviour (Wheeler, Table 1). In contagion, the model’s behaviour results in the removing of restraints and the resolving of the conflict, while in conformity, the model’s behaviour results in the creation of restraints and of the conflict.

Social Facilitation

Social facilitation, another type of social influence, is distinguished from contagion, as well as from conformity and social pressures, by the lack of any marked conflict. It is said to occur when the performance of an instinctive pattern of behaviour by an individual acts as a releaser for the same behaviour in others, and so initiates the same line of action in the whole group (Thorpe, 1956, p.120). Bandura and Walters (1963, p.79), give the example of an adult, who has lost the unique aspects of the dialect of the region where they were raised, returns for a visit and “regains” those previously lost patterns of speech. Starch (1911) referred to this phenomenon as an “unintentional or unconscious imitation”.

Imitation

Imitation is different from contagion in that it is learned via reward and punishment and is generalised across situations. Imitation can also be a generic term for contagion, conformity, social pressures, and social facilitation.

Wheeler (1966)Dynamics of Selected Influence Processes
Stages in Influence ProcessBehavioural contagionSocial pressures and conformitySocial facilitation.
Observer’s Initial ConditionsInstigated to BN. Internal restraints against BN.Instigated to BP. No restraints.No restraints against BN or BP. No instigation to BN or BP.
Model’s BehaviourModel performs BN.Model performs BN.Model performs BN.
Hypothetical ProcessesReduction of model’s restraints against BN. Fear reduction.Creation of restraints against BP. Conflict between BN and BP.Cognitive-behavioural chaining, CS elicits CR, inertia overcome.
Observer’s BehaviourObserver performs BN.Observer performs BN (or rejects model or induces model to perform BP).Observer performs BN.

Notes:

  • BN = Initial behaviour.
  • BP = Pressured behaviour.
  • CS = Conditioned stimulus.
  • CR = Conditioned response.

Competition Contagion on Non-Competitors

While behavioural contagion is largely about how people might be affected by observations of the expressions or behaviour of others, research has also found contagion in the context of a competition where mere awareness of an ongoing competition can have an influence on noncompetitors’ task performance, without any information about the actual behaviour of the competitors.

Research

Effects of Group Pressure

Behavioural contagion, largely discussed in the behaviours of crowds, and closely related to emotional contagion, plays a large role in gatherings of two or more people. In the original Milgram experiment on obedience, for example, where participants, who were in a room with only the experimenter, were ordered to administer increasingly more severe electrical shocks as punishment to a person in another room (from here on referred to as the “victim”), the conflict or social restraint experienced by the participants was the obligation to not disobey the experimenter – even when shocking the victim to the highest shock level given, a behaviour which the participants saw as opposing their personal and social ideals (Milgram, 1965, p.129).

Milgram also conducted two other experiments, replications of his original obedience experiment, with the intent being to analyse the effect of group behaviour on participants: instead of the subject being alone with the experimenter, two confederates were utilised. In the first of the two experiments, “Groups for Disobedience”, the confederates defied the experimenter and refused to punish the victim (p.130). This produced a significant effect on the obedience of the participants: in the original experiment, 26 of the 40 participants administered the maximum shock; in the disobedient groups experiment, only 4 of 40 participants administered the highest level of voltage (Table 1). Despite this high correlation between shock level administered and the obedience of the group in the disobedient groups experiment, there was no significant correlation for the second of the replicated experiments: “Obedient Groups”, where the confederates did not disobey the experimenter and, when the participant voiced angst regarding the experiment and wished to stop administering volts to the victim, the confederates voiced their disapproval (p.133). Milgram concludes the study by remarking that “the insertion of group pressure in a direction opposite that of the experimenter’s commands produces a powerful shift toward the group. Changing the group movement does not yield a comparable shift in the [participant’s] performance. The group success in one case and failure in another can be traced directly to the configuration of motive and social forces operative in the starting situation.” That is, if the group’s attitudes are similar to or compatible with the participant’s/observer’s, there is a greater likelihood that the participant/observer will join with the group (p.134).

Overweight and Obesity

Network phenomena are relevant to obesity, which appears to spread through social ties. Teenagers of US Army families assigned to counties with higher obesity rates were more likely to become overweight or obese in a 2018 study. This effect could not be explained by self-selection (homophily) or shared built environments and is attributed to social contagion.

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What is Group Emotion?

Introduction

Group emotion refers to the moods, emotions and dispositional affects of a group of people. It can be seen as either an emotional entity influencing individual members’ emotional states (top down) or the sum of the individuals’ emotional states (bottom up).

Top Down Approach

This view sees the group’s dynamic processes as responsible for an elusive feeling state which influences the members’ feelings and behaviour. This view, that groups have an existence as entities beyond the characters that comprise them, has several angles.

Effects on Individuals

One angle of this approach was depicted in early works such as Le Bon’s and Freud’s who reasoned that there is a general influence of a crowd or group which makes the members of the group “feel, think and act” differently than they would have as isolated individuals. The reassurance of belonging to a crowd makes people act more extremely. Also, the intense uniformity of feelings is overwhelming and causes people to be emotionally swept to join the group’s atmosphere. Thus, the effect of the group causes emotions to be exaggerated.

Norms

Another aspect of the group as a whole perspective sees the normative forces a group has on its members’ emotional behaviour such as norms for the amount of feelings’ expression and even which emotions it is best to feel. The group’s norms control which emotions would (or at least should) be displayed at a specific situation according to the group’s best interest and goals. The norms help differentiate felt emotions, what the individuals actually feel, from expressed emotions, what they display in the current situation. This perspective has practical implications as shown by researchers. Thus, according to this angle the group causes the emotions to be moderated and controlled.

Binding Force

Another perspective emphasizes the importance of emotional attraction in group settings. It defines group emotion as members’ desire to be together, and finds that emotional ties are a type of glue which holds groups together and influences the group’s cohesiveness and the commitment to the task. This perspective focuses on the positive emotions of liking the other group members and the task at hand.

Indicator

This perspective of the group as a whole approach studies the dynamic development of the group, from its establishment to its disassembly. Along the course the group changes in its interrelationships and interdependence amongst its members. These changes are accompanied by emotional processes which shape the outcome of the group. For instance, the midpoint in a group’s development is characterised by anxiety and anticipation about the capacity of the team to complete its goals, which drives teams to restructure their interaction patterns following the midpoint. Should the group harness these feelings and overcome the crisis stronger, its chances of completing the group’s goals are higher. In other cases, negative emotions towards members of the group or towards the task might jeopardise the group’s existence. This perspective sees the temporal changes of the emotions that govern the group.

Bottom Up

Contrary to the former approach, this approach views group-level emotion as the sum of its individuals’ affective compositions. These affective compositions are actually the emotional features each member brings with them to the group, such as: dispositional affect, mood, acute emotions, emotional intelligence, and sentiments (affective evaluations of the group). The team affective composition approach helps to understand the group emotion and its origins, and how these individual members’ affective predisposition combine to become one common entity. For the purpose of combining these individual characteristics, one can embrace several viewpoints:

Average Mood

Research has shown that by averaging the members’ dispositional affective tone it is possible to predict group-level behaviour such as absenteeism and prosocial behaviour. Also, when the average mood of employees was positive, it was positively related to the team’s performance.

Emotional Variance

Affective-homogenous groups are expected to behave differently from heterogeneous ones. The verdict is yet to be decided as to whether homogeneity is better than heterogeneity. In favour of affective homogeneity stand the notion that familiarity and similarity bring feelings of liking, comfort and positive emotions, and thus presumably better group outcomes and performances. It has long been found that people prefer to be in a group similar to them in many perspectives. A support for the positive effects of homogeneity can be found in a study that examined homogeneity in managers’ positive affectivity (PA) and its influence on several aspects of performance such as satisfaction, cooperation and financial outcome of the organisation. On the other hand, according to the view of opposites being beneficial, affective heterogeneity may lead to more emotional checks and balances which could then lead to better team performance. This was found to be true especially in groups where creativity is needed to complete the task appropriately. Homogeneity might lead to groupthink and hamper performance. It is necessary though for group members in heterogeneous groups to accept and allow one another to enact their different emotional roles.

Emotionally Extreme Members

Even if there is only one member in an otherwise averaged group which is extremely negative (or positive) in effect, that person might influence the affective state of the other members and cause the group to be much more negative (or positive) than would be expected from its mean-level dispositional affect. This mood shift might happen through emotional contagion, in which members are “infected” by others’ emotions, as well as through other processes. Emotional contagion has been observed even in absence of non-verbal cues, for example on online social networks like Facebook and Twitter.

Combining Approaches

The above approaches can be combined in a way that they maintain reciprocal relations. For instance, members bring dispositional affective states and norms for expressing them to the team. These components are then factors determining the creation of group norms, which may in turn alter the moods, feelings and their expression by the members. Thus, the top-down and bottom-up approaches coalesce along the dynamic formation and lifespan of teams.

Empirical Definition

One study compared the reports of team members to reports of outside-observers. It showed that team affect and emotions were observable by and agreed upon by outsiders as well as by members of the team interacting face to face. So, it is possible to identify the group’s affective tone by aggregating self-reports of members of the group, as well as by viewing the group from the outside and looking for emotional gestures, both verbal and nonverbal.

Affecting Group Emotion

Studies show that the leader of the team has an important part in determining the moods of their team’s members. Such that members of a team with a leader in a negative affective state tend to be more negative themselves than members of teams with a leader in a positive mood. However, any member of the group might influence the other members’ emotions. The leader may do so either by way of implicit, automatic, emotional contagion or by explicit, deliberate, emotional influence in order to promote his interests. Other factors that affect the forming of the group’s emotional state are its emotional history, its norms for expressing feelings and the broader organisational norms regarding emotions.

Influence on Performance

The emotional state of the group influences team processes and outcomes. For example, a group in a positive mood displays more coordination between members, yet sometimes the effort they apply is not as high as groups in a negative mood. Another role emotions play in group dynamics and performance is the relation between intra-group task-conflicts and relationship-conflicts. It is assumed that conflicts related to the task can be beneficial for achieving the goal, unless these task-conflicts lead to relationship-conflicts among the team members, in which case the performance is hindered. The traits that decouple task from relationship conflicts are emotional attributes such as emotional intelligence, intragroup relational ties, and norms for reducing or preventing negative emotionality. Hence aspects of group emotion affect the outcome. Other findings are that an increase in positive mood will lead to greater cooperativeness and less group conflict. Also, positive mood results in elevated perceptions of task performance.

Evolutionary-Psychological Perspective

According to the evolutionary psychology approach, group affect has a function of helping communication between members of the group. The emotional state of the group informs its members about factors in the environment. For instance, if everyone is in a bad mood it is necessary to change the conditions, or perhaps work harder to achieve the goal and improve the conditions. Also, shared affect in groups coordinates group activity through fostering group bonds and group loyalty.

Emotional Aperture

Emotional aperture has been defined as the ability or skill to perceive features of group emotions. Examples of features of group emotions include the level of variability of emotions among members (i.e. affective diversity), the proportion of positive or negative emotions, and the modal (i.e. most common) emotion present in a group. The term “emotional aperture” was first defined by the social psychologist, Jeffrey Sanchez-Burks and organisational theorist, Quy Huy. Analogous to adjusting a camera’s aperture setting to increase depth of field, emotional aperture involves adjusting one’s depth of field to bring into focus not solely the emotions of one person but also others scattered across a visual landscape. The difference between perceiving individual-level emotions versus group-level emotions is builds upon the distinction between analytic versus holistic perception.