Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence
Citations
Big-Five Personality: Prediction of Fear of Missing Out, Problematic Social Media Use, and Deceptive Behavior
The Impact of Education Based on New Internet Media Technology on College Students' Mental Health and Biomedical Diagnosis
The Effect of Social Networking Site Use on Depression in Graduate Students: The Mediating Role of Negative Social Comparison and Moderating Role of Implicit Personality Theories
Asians and Asian Americans’ social media use for coping with discrimination: A mixed-methods study of well-being implications
Social media behaviors and symptoms of anxiety and depression. A four-wave cohort study from age 10–16 years.
References
An inventory for measuring depression
The Presentation of Self in Everyday Life
The Satisfaction with Life Scale
The Satisfaction With Life Scale.
Telling more than we can know: Verbal reports on mental processes.
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Frequently Asked Questions (9)
Q2. What future works have the authors mentioned in the paper "Passive facebook usage undermines affective well-being: experimental and longitudinal evidence" ?
A key challenge for future research is to identify when ( and why ) interacting with this technology leads to positive versus negative socioemotional outcomes. Together, these results suggest that passive Facebook usage predicts substantive declines in subjective well-being in both the lab and in daily life. First, a growing literature suggests that Facebook ( and social network sites more generally ) have addictive properties ( Ryan, Chester, Reece, & Xenos, 2014 ).
Q3. How many observations were used for the nonlagged analysis?
For the nonlagged analysis 2,084 observations were used whereas for the lagged analysis only 1,609 observations were entered into the analysis (because between-day lags were excluded).
Q4. What was the effect of the last text message on the participants’ well-being?
When noncompliant cases were observed, the authors used participants’ responses to the last text message they answered to maximize power when examining the lagged effect of type of Facebook usage on well-being.
Q5. What other social interaction variables were not significantly related to affective well-being?
Passive Facebook usage also remained a significant predictor of changes in affective well-being when controlling for the other social interaction variables the authors assessed: non-Facebook online social network usage, active Facebook use and direct social interaction.
Q6. What is the key challenge for future research?
A key challenge for future research is to identify when (and why) interacting with this technology leads to positive versus negative socioemotional outcomes.
Q7. How many participants were aware of the study hypotheses?
Eight participants (three in the active condition, five in the passive condition) were aware of the study hypotheses and were thus excluded from all analyses on a priori grounds leaving 67 participants (34 in the active and 33 in the passive condition).
Q8. What did the authors find out about the effect of type of Facebook on people’s happiness?
In Study 1, the authors did not observe an effect of type of Facebook usage on people’s tendency to view their life as worse off than others, which the authors thought would exacerbate envy and lead to emotional declines.
Q9. What is the effect of a delay on affect?
These findings, in conjunction with the absence of an immediate effect of manipulating Facebook usage on affect in Study 1, suggest that although some delay is necessary for passive Facebook usage to influence affect, the exact duration of this delay is less important.