Four facets of Facebook intensity — The development of the Multidimensional Facebook Intensity Scale

Orosz, Gábor; Tóth‐Király, István; Bőthe, Beáta

doi:10.1016/j.paid.2015.11.038

Cited by 101 publications

(75 citation statements)

References 35 publications

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“…Therefore, new research results show that there is substantial overlap (communality) between REA and passion, especially OP (Szabo 2018). Similar findings were reported in non-sports contexts, too, such as in the field of screen-based online behaviors (Orosz et al 2016;Tóth-Király et al 2019b), gambling (MacKillop et al 2006, and work (Birkeland and Buch 2015).…”

supporting

confidence: 54%

A Longitudinal Study of Exercise Addiction and Passion in New Sport Activities: the Impact of Motivational Factors

Kovacsik

Tóth‐Király

Egorov

et al. 2020

Int J Ment Health Addiction

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Recent research suggests that the risk of exercise addiction (REA) is primarily predicted by passion. However, this relationship stems from cross-sectional studies. The objective of this 12-week longitudinal investigation was to examine and compare the temporal changes in REA and passion among women and men (N = 149) who just started a new sport activity. To further test their similarities and distinctiveness, we also examined how exercise motivations predict REA and passion. Latent growth modeling showed that REA and passion were high at baseline and showed a slight increase over the 12 weeks. Passion was predicted by several motivational factors, whereas REA was predicted by being female, team sport participation, higher exercise intensity, and identified motivation. These findings suggest that the development of passion and REA over time, both being associated with sport motivations, manifest independent patterns. Consequently, despite the reported strong relationship between the two, they appear to be independent constructs.

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supporting

confidence: 54%

A Longitudinal Study of Exercise Addiction and Passion in New Sport Activities: the Impact of Motivational Factors

Kovacsik

Tóth‐Király

Egorov

et al. 2020

Int J Ment Health Addiction

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“…For the analyzed sample, internal consistency was high (Cronbach's α = 0.82). To measure the intensity of Instagram usage, the 13-item Facebook Intensity Scale [54] was adopted. This scale is used to measure Facebook usage beyond simple measures of frequency and duration, incorporating emotional connectedness to the site and its integration into individuals' daily activities; it can separate problematic and non-problematic aspects of Facebook use [55].…”

Section: Methodsmentioning

confidence: 99%

Artificial neural networks for predicting social comparison effects among female Instagram users

Jabłońska

Zajdel

2020

PLoS ONE

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Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, selfobjectification, body concerns, and lower perception of themselves. This study first investigates the possible links between life satisfaction, self-esteem, anxiety, depression, and the intensity of Instagram use with a social comparison model. In the study, 974 women age 18-49 who were Instagram users voluntarily participated, completing a questionnaire. The results suggest associations between the analyzed psychological data and social comparison types. Then, artificial neural networks models were implemented to predict the type of such comparison (positive, negative, equal) based on the aforementioned psychological traits. The models were able to properly predict between 71% and 82% of cases. As human behavior analysis has been a subject of study in various fields of science, this paper contributes towards understanding the role of artificial intelligence methods for analyzing behavioral data in psychology.

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“…Hypothesized Facebook outcomes were assessed with The Multidimensional Facebook Intensity Scale (Orosz, Tóth-Király, & Bőthe, 2015). In the present study, we only used three relevant subscales: Facebook Persistence (4 Passion on the Screen 13 items, e.g., "I feel bad if I don't check my Facebook daily"; α = .75), Facebook Self-Expression (3 items, e.g., "I like refining my Facebook profile"; α = .70), and Facebook Overuse (3 items; e.g., "It happens that I use Facebook instead of sleeping"; α = .75).…”

Section: Methodsmentioning

confidence: 99%

On the correlates of passion for screen-based behaviors: The case of impulsivity and the problematic and non-problematic Facebook use and TV series watching

Orosz

Vallerand

Bőthe

et al. 2016

Personality and Individual Differences

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HighlightsImpulsivity is related to obsessive passion for screen-based activities.Obsessive passion predicts problematic screen-based activity outcomes.Harmonious passion is related to adaptive screen-based activity outcomes.Impulsivity can be a key personality variable of the Dualistic Model of Passion. Passion on the Screen 2 AbstractThe purpose of the present research was to look at the correlates of passion towards screen-based activities. In two studies, we aimed to test the role of impulsivity as a predictor of obsessive (but not harmonious) passion for Facebook use and series watching. We also aimed to distinguish between problematic and non-problematic correlates as pertains to Facebook use and TV series watching. Based on the Dualistic Model of Passion, it was hypothesized that Harmonious passion would be positively associated with adaptive correlates and Obsessive passion to less positive and even negative ones in both types of activities. In two studies, young adults (Study 1 = 256; Study 2 = 420) completed the Passion Scale with respect to Facebook Use and Series Watching, respectively, the UPPS Impulsivity Scale, and scales measuring problematic and nonproblematic correlates associated with engaging in such activities. The results provided support for the proposed model: Impulsivity predicted obsessive (but not harmonious) passion. Obsessive passion was positively associated with negative correlates such as Facebook overuse whereas harmonious passion was positively associated with adaptive correlates such as self-development through series watching. These results suggest that it is the type of passion underlying activity engagement that determines what is experienced. The Case of Impulsivity and the Problematic and Non-Problematic Series Watching and Facebook UseIn Indonesia and in the Philippines people spend an average more than 500 minutes every day looking at screens. In the USA this number is 444 minutes that includes 147 minutes spent watching TV, 103 minutes in front of a computer, 151 minutes on a smartphones, and 43 minutes with a tablet (Quartz, 2014). Over the recent years, screen-based activities as series (or TV show) watching and Facebook use slowly became a significant part of the leisure time activities. In a recent study of the Netflix Media Center (2013), 73% of binge-watching streamers-those who watch more than one episode per occasion-have positive feelings towards this activity and 80% of them claim that they would rather watch an episode of a good series than to watch and read the social media activity of their friends. Most recently, Netflix started to broadcast in more than 200 countries, reaching viewers all around the globe (Netflix, 2016). In addition to the growing popularity of series watching, social media use is also a prevalent phenomenon. Facebook is currently the most popular social networking site, overtaking Twitter, LinkedIn, Pinterest and Google Plus (Ebizmba, 2015). As of January 2015, it had more than one billion active users with almost half of them (48%) ...

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Four facets of Facebook intensity — The development of the Multidimensional Facebook Intensity Scale

Cited by 101 publications

References 35 publications

A Longitudinal Study of Exercise Addiction and Passion in New Sport Activities: the Impact of Motivational Factors

A Longitudinal Study of Exercise Addiction and Passion in New Sport Activities: the Impact of Motivational Factors

Artificial neural networks for predicting social comparison effects among female Instagram users

On the correlates of passion for screen-based behaviors: The case of impulsivity and the problematic and non-problematic Facebook use and TV series watching

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