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Hub AI
Bystander effect AI simulator
(@Bystander effect_simulator)
Hub AI
Bystander effect AI simulator
(@Bystander effect_simulator)
Bystander effect
The bystander effect (also called bystander apathy or the Genovese effect) is a social psychological theory that states that individuals are less likely to offer help to a victim in the presence of other people.
The theory was first proposed in 1964 after the murder of Kitty Genovese, in which a newspaper had reported (erroneously) that 37 bystanders saw or heard the attack without coming to her assistance or calling the police. Much research, mostly in psychology research laboratories, has focused on increasingly varied factors, such as the number of bystanders, ambiguity, group cohesiveness, and diffusion of responsibility that reinforces mutual denial. If a single individual is asked to complete a task alone, the sense of responsibility will be strong, and there will be a positive response; however, if a group is required to complete a task together, each individual in the group will have a weak sense of responsibility, and will often shrink back in the face of difficulties or responsibilities.
Recent research has focused on "real world" events captured on security cameras, and the coherency and robustness of the effect has come under question. More recent studies also show that this effect can generalize to workplace settings, where subordinates often refrain from informing managers regarding ideas, concerns, and opinions.
The bystander effect was first demonstrated and popularized in the laboratory by social psychologists John M. Darley and Bibb Latané in 1968 after they became interested in the topic following the murder of Kitty Genovese in 1964. These researchers launched a series of experiments that resulted in one of the strongest and most replicable effects in social psychology. In a typical experiment, the participant is either alone or among a group of other participants or confederates. An emergency situation is staged and researchers measure how long it takes the participants to intervene, if they intervene. These experiments have found that the presence of others inhibits helping, often by a large margin. For example, Bibb Latané and Judith Rodin (1969) staged an experiment around a woman in distress, where subjects were either alone, with a friend, or with a stranger. Seventy percent of the people alone called out or went to help the woman after they believed she had fallen and was hurt, but when paired with a stranger only 40 percent offered help.
A 2011 meta-analysis found that the bystander effect was most likely to occur in non-dangerous emergencies but did not occur in dangerous emergencies. The bystander effect was less likely to occur with highly competent bystanders. In dangerous emergencies, the presence of male bystander also reduced the bystander effect; this in not the case for male bystanders in non-emergency situations.
Philpot et al. (2019) examined over 200 sets of real-life surveillance video recordings from the United Kingdom, the Netherlands, and South Africa to answer "the most pressing question for actual public victims": whether help would be forthcoming at all. They found that intervention was the norm, and in over 90% of conflicts one or more bystanders intervened to provide help. Increased bystander presence increased the likelihood that someone would intervene.
Latané and Darley performed three experiments to test bystander behavior in non-emergency situations. Their results indicated that the way in which the subjects were asked for help mattered. In one condition, subjects asked a bystander for his or her name. More people provided an answer when the students gave their name first. In another condition, the students asked bystanders for a dime. When the student gave an explanation, such as saying that their wallet had been stolen, the percentage of people giving assistance was higher (72%) than when the student just asked for a dime (34%). Additional research by Faul, Mark, et al., using data collected by EMS officials when responding to an emergency, indicated that the response of bystanders was correlated with the health severity of the situation.
According to Latané and Darley, there are five characteristics of emergencies that affect bystanders:
Bystander effect
The bystander effect (also called bystander apathy or the Genovese effect) is a social psychological theory that states that individuals are less likely to offer help to a victim in the presence of other people.
The theory was first proposed in 1964 after the murder of Kitty Genovese, in which a newspaper had reported (erroneously) that 37 bystanders saw or heard the attack without coming to her assistance or calling the police. Much research, mostly in psychology research laboratories, has focused on increasingly varied factors, such as the number of bystanders, ambiguity, group cohesiveness, and diffusion of responsibility that reinforces mutual denial. If a single individual is asked to complete a task alone, the sense of responsibility will be strong, and there will be a positive response; however, if a group is required to complete a task together, each individual in the group will have a weak sense of responsibility, and will often shrink back in the face of difficulties or responsibilities.
Recent research has focused on "real world" events captured on security cameras, and the coherency and robustness of the effect has come under question. More recent studies also show that this effect can generalize to workplace settings, where subordinates often refrain from informing managers regarding ideas, concerns, and opinions.
The bystander effect was first demonstrated and popularized in the laboratory by social psychologists John M. Darley and Bibb Latané in 1968 after they became interested in the topic following the murder of Kitty Genovese in 1964. These researchers launched a series of experiments that resulted in one of the strongest and most replicable effects in social psychology. In a typical experiment, the participant is either alone or among a group of other participants or confederates. An emergency situation is staged and researchers measure how long it takes the participants to intervene, if they intervene. These experiments have found that the presence of others inhibits helping, often by a large margin. For example, Bibb Latané and Judith Rodin (1969) staged an experiment around a woman in distress, where subjects were either alone, with a friend, or with a stranger. Seventy percent of the people alone called out or went to help the woman after they believed she had fallen and was hurt, but when paired with a stranger only 40 percent offered help.
A 2011 meta-analysis found that the bystander effect was most likely to occur in non-dangerous emergencies but did not occur in dangerous emergencies. The bystander effect was less likely to occur with highly competent bystanders. In dangerous emergencies, the presence of male bystander also reduced the bystander effect; this in not the case for male bystanders in non-emergency situations.
Philpot et al. (2019) examined over 200 sets of real-life surveillance video recordings from the United Kingdom, the Netherlands, and South Africa to answer "the most pressing question for actual public victims": whether help would be forthcoming at all. They found that intervention was the norm, and in over 90% of conflicts one or more bystanders intervened to provide help. Increased bystander presence increased the likelihood that someone would intervene.
Latané and Darley performed three experiments to test bystander behavior in non-emergency situations. Their results indicated that the way in which the subjects were asked for help mattered. In one condition, subjects asked a bystander for his or her name. More people provided an answer when the students gave their name first. In another condition, the students asked bystanders for a dime. When the student gave an explanation, such as saying that their wallet had been stolen, the percentage of people giving assistance was higher (72%) than when the student just asked for a dime (34%). Additional research by Faul, Mark, et al., using data collected by EMS officials when responding to an emergency, indicated that the response of bystanders was correlated with the health severity of the situation.
According to Latané and Darley, there are five characteristics of emergencies that affect bystanders: