Instagram Use and Its Effect on Well-Being and Self-Esteem

Over the last ten years, social media has become an integral facet of modern society. In particular, image-based social networking sites such as Instagram have become increasingly popular among adolescents and young adults. However, despite this proliferation of use, the literature remains divided regarding the potential impacts of social media, particularly in regards to image-based platforms. The present study sought to analyze the relationship between social media usage patterns and its subsequent effects on user self-esteem and well-being. However, the study’s results show that, despite the existing literature, intensity of Instagram use serves as a mediating variable in this relationship. The study’s results show that it is intensity of use, not usage patterns, that determine user outcomes. Finally, the results show that users who engage with Instagram more intensely exhibit higher levels of self-esteem and well-being than users who do not use the application intensely

See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data

Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Notably, the major depressive disorder has become a common problem among higher education students, aggravated, and maybe even occasioned, by the academic pressures they must face. While the reasons for this alarming situation remain unclear (although widely investigated), the student already facing this problem must receive treatment. To that, it is first necessary to screen the symptoms. The traditional way for that is relying on clinical consultations or answering questionnaires. However, nowadays, the data shared at social media is a ubiquitous source that can be used to detect the depression symptoms even when the student is not able to afford or search for professional care. Previous works have already relied on social media data to detect depression on the general population, usually focusing on either posted images or texts or relying on metadata. In this work, we focus on detecting the severity of the depression symptoms in higher education students, by comparing deep learning to feature engineering models induced from both the pictures and their captions posted on Instagram. The experimental results show that students presenting a BDI score higher or equal than 20 can be detected with 0.92 of recall and 0.69 of precision in the best case, reached by a fusion model. Our findings show the potential of large-scale depression screening, which could shed light upon students at-risk.Comment: This article was accepted (15 November 2019) and will appear in the proceedings of ICWSM 202

ONLINE SOCIAL COMPARISON ITS ROLE IN PREDICTING INDIVIDUALS’ WELL-BEING

Social comparison is the practice through which people compare their own opinions, abilities, behaviours, and emotions with those of others as an external guide and a source for self-evaluation. Social comparison has been put forward as a core feature of interpersonal relationships both in the offline context and in virtual interactions through social media. A growing number of studies has highlighted that online social comparison through social media can influence individuals’ everyday life. In this thesis, I will examine the role of online social comparison in influencing individuals’ well-being in three research designs with different outcomes. In the first empirical study, a cross-lagged panel model was used to examine the predictive role of online social comparison to ameliorate individual distress during the first wave of the COVID-19 pandemic. Findings of the first study showed that online social comparison predicted an increase in individuals’ levels of anxiety, stress, loneliness and life satisfaction over time. In the second study, Latent Class Analysis was adopted to classify participants into three groups with different levels of problematic Facebook use. Findings from this study showed that online social comparison was linked to passive use of social media and the fear of missing out. Moreover, longitudinal analyses showed that problematic Facebook users reported greater levels of psychological distress and lower levels of well-being at each time point. Finally, in the third study, a systematic review and meta-analysis was conducted to examine the association between online social comparison and body image outcomes. Results from 57 cross-sectional studies showed that online social comparison was linked to body image concerns, eating disorder behaviours and positive body image, demonstrating the importance of the physical appearance comparison in the online contexts. Overall, these results highlight the multifaceted nature of the social comparison construct, which can play a different role in predicting psychological well-being in specific contexts.Social comparison is the practice through which people compare their own opinions, abilities, behaviours, and emotions with those of others as an external guide and a source for self-evaluation. Social comparison has been put forward as a core feature of interpersonal relationships both in the offline context and in virtual interactions through social media. A growing number of studies has highlighted that online social comparison through social media can influence individuals’ everyday life. In this thesis, I will examine the role of online social comparison in influencing individuals’ well-being in three research designs with different outcomes. In the first empirical study, a cross-lagged panel model was used to examine the predictive role of online social comparison to ameliorate individual distress during the first wave of the COVID-19 pandemic. Findings of the first study showed that online social comparison predicted an increase in individuals’ levels of anxiety, stress, loneliness and life satisfaction over time. In the second study, Latent Class Analysis was adopted to classify participants into three groups with different levels of problematic Facebook use. Findings from this study showed that online social comparison was linked to passive use of social media and the fear of missing out. Moreover, longitudinal analyses showed that problematic Facebook users reported greater levels of psychological distress and lower levels of well-being at each time point. Finally, in the third study, a systematic review and meta-analysis was conducted to examine the association between online social comparison and body image outcomes. Results from 57 cross-sectional studies showed that online social comparison was linked to body image concerns, eating disorder behaviours and positive body image, demonstrating the importance of the physical appearance comparison in the online contexts. Overall, these results highlight the multifaceted nature of the social comparison construct, which can play a different role in predicting psychological well-being in specific contexts

Depression among users of social networking sites (SNSs): the role of SNS addiction and increased usage

Background: Previous literature suggests that increased usage of social networking sites (SNSs) can have a detrimental effect on mental wellbeing [1,2]. Furthermore, increased SNS usage has been found to result in the development of a new behavioral addiction: SNS addiction [3]. This new form of addiction to social networking is shown to predict depression in users of SNSs [4,5]. Objective: As the rates of people who use SNSs are rising, the current study aimed to identify relationships between SNS usage, SNS addiction and depression, with a focus on SNSs used today that have not been researched before, namely Instagram, Twitter and Snapchat. Methods: A cross-sectional online study was conducted on a sample of 103 young adults. Each participant filled out a questionnaire consisting of the Centre for Epidemiologic Studies of Depression Scale Revised (CESD-R), Young’s Internet Addiction Test (IAT), along with general questions relating to SNS use. Results: The results of the current study suggest that Instagram use (β = .24, p ≤ .05) and SNS addiction (β = .32, p = .001) were significant predictors of depression. The results also showed that Instagram use predicted SNS addiction (β = .22, p < .05). No such relationship existed between Facebook, Twitter or Snapchat and SNS addiction or depression. Conclusion: The results indicated that both Instagram use and SNS addiction were related to depression, and that Instagram use was related to SNS addiction. Results are explained from a uses and gratifications perspective. Further research using longitudinal designs is needed to establish the direction of this relationship

Instagram photos reveal predictive markers of depression

Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algorithmic face detection. Resulting models outperformed general practitioners’ average unassisted diagnostic success rate for depression. These results held even when the analysis was restricted to posts made before depressed individuals were first diagnosed. Human ratings of photo attributes (happy, sad, etc.) were weaker predictors of depression, and were uncorrelated with computationally-generated features. These results suggest new avenues for early screening and detection of mental illness

Positive and Negative Effects of Social Media on Adolescent Well-Being.

Social media use is rapidly growing among adolescents, studies cite that the rates of “constant use” doubled from 2015 to 2018 (Anderson & Jiang, 2018; Lenhart, 2015). Social media use can have a serious negative impact on areas of well-being including feelings of depression, anxiety, fear of missing out, body image, bullying and sleep. Mojtabai, Olfson and Han (2016) cite the problematic use of mobile phones and social media applications as one of the trends aligning with the increase in major depressive episodes. Conversely, use of social media can promote positive feelings of well-being including creating a sense of community, providing access to needed health information, helping create new relationships and maintain existing ones and offering a platform for self-expression and creation of self-identity. The purpose of this study was to compare the positive and negative impacts of the top four social media platforms used by adolescents on 14 areas of well-being. SPSS was used for data analysis to compare well-being scores for Facebook, Instagram, Snapchat and YouTube. Analysis was also completed to see if there was a relationship between time spent online and perceived well-being. Consistent with research, the majority of adolescents cite that their smartphone is the primary way they access social media. YouTube was identified as having the most positive impact on adolescent well-being while Instagram was perceived as having the most negative. Time spent online indicated a weak, positive correlation to well-being with only YouTube