Abstract:Background
Research has pointed to a connection between social media use, emotions, and tanning behaviors. However, less is known about the role specific emotions may play in influencing social media use and how emotions and social media use may each be associated with outdoor tanning.
Objective
This paper aims to examine the connection between emotions, social media use, and outdoor tanning behaviors among young women, a group particularly important fo… Show more
“…There is additionally a dearth of research on how individuals’ use of SM prospectively predicts their emotion. The few studies that exist have yielded inconsistent findings, with some finding associations between SMU and momentary positive emotion (Lin & Utz, 2015) and others with momentary negative emotion (e.g., Willoughby et al, 2020). We propose that these mixed findings may be explained, at least in part, by the ways in which individuals use SM.…”
Social media (SM) use has been primarily operationalized as frequency of use or as passive versus active use. We hypothesize that these constructs have shown mixed associations with psychological constructs because the factor structure underlying social media use (SMU) has not been fully identified. We conducted three studies with college students. In Study 1 ( N = 176), we collected data about participants’ SMU, informing item generation. In Study 2 ( N = 311), we tested two factor structures: (a) passive, active social, and active non-social and (b) a hypothesized four-factor structure. Neither confirmatory model produced acceptable fits, but an exploratory factor analysis suggested a four-factor model: belief-based, consumption-based, image-based, and comparison-based SMU. This four-factor structure was supported in Study 3 ( N = 397), which was preregistered, via a confirmatory factor analysis. The subscale items showed good internal consistencies, and evidence is presented for convergent validity. These factors represent a novel classification of people’s SMU that can be measured with the Social Media Use Scale.
“…There is additionally a dearth of research on how individuals’ use of SM prospectively predicts their emotion. The few studies that exist have yielded inconsistent findings, with some finding associations between SMU and momentary positive emotion (Lin & Utz, 2015) and others with momentary negative emotion (e.g., Willoughby et al, 2020). We propose that these mixed findings may be explained, at least in part, by the ways in which individuals use SM.…”
Social media (SM) use has been primarily operationalized as frequency of use or as passive versus active use. We hypothesize that these constructs have shown mixed associations with psychological constructs because the factor structure underlying social media use (SMU) has not been fully identified. We conducted three studies with college students. In Study 1 ( N = 176), we collected data about participants’ SMU, informing item generation. In Study 2 ( N = 311), we tested two factor structures: (a) passive, active social, and active non-social and (b) a hypothesized four-factor structure. Neither confirmatory model produced acceptable fits, but an exploratory factor analysis suggested a four-factor model: belief-based, consumption-based, image-based, and comparison-based SMU. This four-factor structure was supported in Study 3 ( N = 397), which was preregistered, via a confirmatory factor analysis. The subscale items showed good internal consistencies, and evidence is presented for convergent validity. These factors represent a novel classification of people’s SMU that can be measured with the Social Media Use Scale.
“…To date, only a few studies have assessed the influence of SMU on momentary emotion, and they have also yielded inconsistent findings. For instance, laboratory-based studies have found that using SM, compared to using other websites, predicts low levels of positive affect (PA) and high levels of NA (Fardouly et al, 2015; Yuen et al, 2019), and SMU predicts increases in momentary NA (Berry et al, 2018; Willoughby et al, 2020), suggesting SMU has contrahedonic impacts on momentary emotion. However, in an experience sampling study, SMU engagement was contemporaneously associated with diminished levels of NA (Yin et al, 2022), suggesting SMU has hedonic impacts on momentary emotion in everyday life contexts.…”
Research on how social media use (SMU) is associated with emotion is equivocal, possibly because the factor structure of SMU had not been adequately identified. Prior research has found support for four SMU types: belief-based (e.g., sharing opinions), comparison-based (e.g., body comparison), image-based (e.g., monitoring likes), and consumption-based (e.g., watching videos). In this study, we examined how participants’ weekly engagement in each SMU type was associated with trait affect and how engagement in each type in real time was related to changes in momentary affect (preregistered: https://osf.io/qupf3/). A total of 382 college students in the spring of 2022 reported on the extent to which they engaged in each SMU type over the last week and their trait affect. They also engaged in each SMU type (randomized) for 3 min, rating their affect before and after. Only comparison-based SMU showed the same pattern of associations at trait and momentary levels, being associated with lower positive affect and higher negative affect (NA) at both timescales. Image- and consumption-based SMU were associated with higher trait NA, but resulted in people feeling better in real time. Belief-based SMU was associated with higher trait positive affect and NA, but made people feel worse in real time. Understanding how SMU types are associated with emotional experiences depends on the timeframe. Findings hold important implications for research examining how SMU is associated with mental health and well-being.
Ecological momentary assessment (EMA), a method that allows for data collection in real-time, may offer benefits for communication research. We conducted two EMA studies on different topics (i.e., alcohol and sexual content in media and social media use, emotions, and tanning) in 2017 and 2018, respectively, and completed in-depth interviews ( N = 19 and N = 16) following each study. Participants were open to the method and described potential changes in awareness and behavior, which could contribute to changes in data collected and potentially serve as an unintentional intervention. Researchers should consider the intent of their research and possible unintended effects of the questions posed.
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