Lecture 2: Online prosocial behavior Flashcards
Why do we help?
- Reciprocal altruism
- Evalutionary factors (same genetic materials)
- individual differences (!)
- Situational factors (!)
(REIS)
What are the 6 ‘Situational factors’ that influences if we help or not?
- Self-concern or distraction
- Lack of competence
- Audience inhibition
- Ambiguity
- Pluralistic ignorance
- Diffusion of responsibility
(SLAAPD)
Do media cause antisocial behavior?
- Strong concerns in society (cyberbulying)
- Media may also be positively related to prosocial behavior
- Even promoting prosocial behavior
What is Online prosocial behavior (OPB)?
- Voluntary behavior…
- …carried out in an electronic [online] context
- …with the intention of benefiting particular others…
- …or promoting harmonious relations with others
Describe our online prosocial behavior on social media
- Interpersonal (person to person)
- CMC ->Lacking face-to-face (text, image, video)
- one-to-many -> broadcast
- Social capital (forming new networks)
What are the positives of social media on our behavior?
Opportunities for kindness, support
What are the negatives of social media on our behavior?
Disinhibition
What the research found about teen behavior on social media? (Erreygers, et al., 2019)
- that prosocial behaviour is more common than online antisocial behaviour
- 68% get support on social media during though time
When do people contribute prosocial behavior online what was found in earlier research? (Erreygers, et al., 2019)
- influenced by offline pb
- influenced by popularity and social preference
- influenced by being the recipient of opb
- influenced by frequency of using digital technologies
- influenced by relational self-construal
- influenced by altruism and reciprocity
- influenced by positive and negative emotions
- influenced by gender more opb among girls
What where the most important findings in this research:
“spillover and crossover effects of happiness on Adolescents’ OPB” (Erreygers, et al., 2019)
- Spillover
- On days that adolescents reported higher than (their own) average levels of happiness after school, they also reported higher levels of happiness at home later that day (within-person level)
- Adolescents who reported higher than average happiness levels after school overall (across days), also reported higher than average happiness levels at home (between-person level). - Crossover
- On days that mothers were happier when they returned from work, their daughters felt happier at home later that evening.
- Other crossovers were not significant - Cross-sectional association
- On days that girls reported more happiness at home, they reported more OPB
- Only significant for within-person for girls - Mediation
Two significant effect were found for girls
- on days that girls felt happier after school or that their mothers were happier after work, they behaved more prosocially online, and this association was explained by girls’ higher happiness at home
What is the Broaden and Build Theory (Barbar Frederickson)?
This theory suggests that:
- positive emotions play a fundamental role in expanding:
broaden: experiencing positives emotions expands peoples mindset
building: stimulating them to think of others and do good
(creating a feedback loop)
What is ‘Broaden’ (Broaden and Build Theory)
Experiencing positive emotions expands people’s mindset
Where can the broaden effect lead to?
The broadening effect of positive emotions can lead to the ‘building’ of psychological resources (e.g. building relationships)
What is ‘Building (relationships)’ (Broaden and Build Theory)
Stimulating them to think of others and do good
Explain the positive mood effect
- When people are happy, they are more helpful, which creates happiness
- Mutally reinforcing each other through a feedback loop
What is spillover?
Transmission of emotional states from one context to another
What is crossover?
Transmission of emotional states from person to person
What is a diary study?
- Multiple measures over time period
- Reported by participants in daily life
- Past: paper and pen, Today: Mobile alerts
- Allows “within-person” analysis (as well as between-person)
- Reduces recall bias (e.g., survey)