How photo editing in social media shapes self-perceived attractiveness and self-esteem via self-objectification and physical appearance comparisons

Ozimek, Phillip; Lainas, Semina; Bierhoff, Hans‐Werner; Rohmann, Elke

doi:10.1186/s40359-023-01143-0

Cited by 18 publications

(5 citation statements)

References 78 publications

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“…As a consequence, the elicitation of upward comparisons are likely to facilitate negative feelings [15,40,41]. Specifically, initial evidence has been found that social comparisons generated on Instagram have negative repercussions on well-being [17,18,42]. In agreement with these results, further studies, which were conducted recently, revealed a negative association between social comparisons on SNSs and subjective well-being [43,44].…”

Section: Subjective Well-being Social Comparisons and Snssmentioning

confidence: 68%

“…SNSs provide platforms on which social comparisons are enabled, as self-referential information is continuously presented and retrievable (cf., [8,15]). Instagram, as an image-based medium, provides quick and easy ways to access millions of profiles and use them to collect social comparison information, and allows people to present themselves [16][17][18]. Accordingly, Instagram can meet the basic needs for the social comparison described above.…”

Section: Social Comparisonsmentioning

confidence: 99%

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The Impact of Social Comparisons More Related to Ability vs. More Related to Opinion on Well-Being: An Instagram Study

Ozimek,

Brandenberg,

Rohmann

et al. 2023

Behavioral Sciences

Self Cite

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Social networks are gaining widespread popularity, with Instagram currently being the most intensively used network. On these platforms, users are continuously exposed to self-relevant information that fosters social comparisons. A distinction is made between ability-based and opinion-based comparison dimensions. To experimentally investigate the influence of these comparison dimensions on users’ subjective well-being, an online exposure experiment (N = 409) was conducted. In a preliminary study (N = 107), valid exposure stimulus material was selected in advance. The results of the main study indicated that the exposure to ability-related social comparisons in the context of social media elicited lower well-being than exposure to opinion-related social comparisons. The theoretical and practical implications of this study consist of including the findings in clinical settings, e.g., affective disorder therapy, and the identification and reduction of ability-related content on social networking sites (SNSs). Future work should include assimilation and contrast effects which might interact with social comparison orientation and well-being.

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Section: Subjective Well-being Social Comparisons and Snssmentioning

confidence: 68%

Section: Social Comparisonsmentioning

confidence: 99%

The Impact of Social Comparisons More Related to Ability vs. More Related to Opinion on Well-Being: An Instagram Study

Ozimek,

Brandenberg,

Rohmann

et al. 2023

Behavioral Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…In that study, a greater dependency was found among women, with a direct relationship to poor management of social media [90][91][92][93]. In contrast, based on the fieldwork conducted, it was not possible to identify significant differences between the results for men and women [94][95][96][97][98][99].…”

Section: Discussionmentioning

confidence: 99%

Excessive Use of Mobile Phones and Social Networks Among Colombian University Students

Lis-Gutiérrez,

Zapata-Patarroto

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: Social networks facilitate interactions among individuals, organizations, and communities. Their usage, especially among young people, has become increasingly widespread. This surge in usage has been linked to various impacts on individuals' daily lives and well-being, particularly in academic and emotional aspects. OBJECTIVES: This study seeks to examine the extent to which excessive use of social networks (SN) contributes to social isolation among undergraduate students aged 18 to 35, residing in the departments of Cundinamarca, Boyaca, and Meta in Colombia. This phenomenon is primarily due to problematic cell phone use. METHODS: We administered two established instruments: the "Mobile Phone Problem Use Scale (MPPUS-10)" adapted by Foerster et al. (2015), and the "Addiction to Social Networks Questionnaire " developed by Escurra & Salas (2014). Statistical analyses included descriptive techniques, multivariate Henze-Zirkler normality test, univariate Shapiro-Wilk test, as well as non-parametric methods such as Spearman's correlation and the Kruskal-Wallis test. RESULTS: Key findings of this study include: (i) the identified intervention and mitigation strategies in the literature predominantly focus on prevention programs and family support with an emphasis on bolstering young people's self-esteem; (ii) 15.46% of the sample exhibited problematic cell phone use, with 25.96% indicating high intensity of social network use; (iii) significant differences were observed in relation to age and geographic location, while gender and socio-economic stratum did not exhibit a statistically significant impact; (iv) the statistical analysis demonstrated a positive and significant relationship with the dimensions of the Escurra & Salas (2014) instrument, namely Interest in Social Media (ISM), concern about lack of control (LC), and Excessive use of SN (EU). CONCLUSION: The Mobile Phone Problem Use Scale (MPPUS-10) emerges as a concise and effective tool for identifying problematic cell phone use, and its association with excessive social network usage underscores the interconnectedness of these behaviours. This research sheds light on the prevalence of these issues among Colombian university students and provides valuable insights for targeted intervention and support strategies, emphasizing the importance of bolstering self-esteem in youth.

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“…3). [14] Věda a perspektivy № 2( 33 Now let us take a closer look at each of the stages. Image acquisition -this process involves "capturing" an image using a sensor, such as a camera, and converting it into a format suitable for further use (e.g., a digital image file).…”

Section: Fig2 Examples Of Recognizing Patterns and Objects In Photos ...mentioning

confidence: 99%

Tendencies in the Application of Artificial Intelligence in the Processing of Photo Materials

Buryk

2024

Věda a perspektivy

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The research highlights the rapid development and increasing adoption of artificial intelligence (AI) technologies into our daily lives, particularly through applications and gadgets such as voice assistants, weather forecasts and advanced photo processing capabilities. This integration of neural networks into everyday tasks demonstrates how artificial intelligence can significantly improve the quality of photo processing, solving the problems of damage, color distortion and other defects. The main goal of this article is to explore the techniques that neural networks offer for restoring, editing and saving important images, as well as to consider the possibilities of their improvement and adaptation to people's needs. Analyzes how the AI image processing process includes several key steps, from image acquisition to image enhancement and restoration. Computer vision plays a critical role in this process, providing tools to optimize images for machine learning. Various methods of processing, compression and expansion of photographic data are considered, which contribute to increasing the efficiency of AI models in the processing of photographic materials. The problem of retraining models and methods for solving it are separately covered, including model simplification, early stopping, data augmentation, regularization, and the dropout method. Such strategies improve the generalizability of the model, providing qualitative results. The findings highlight that artificial intelligence and machine learning are opening up new horizons in image processing, providing tools for face recognition, object detection, and text recognition, as well as contributing to the development of deep learning. It is important to choose the appropriate tools and techniques to achieve optimal results, considering the potential of artificial intelligence and its impact on the future of photo processing.

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How photo editing in social media shapes self-perceived attractiveness and self-esteem via self-objectification and physical appearance comparisons

Cited by 18 publications

References 78 publications

The Impact of Social Comparisons More Related to Ability vs. More Related to Opinion on Well-Being: An Instagram Study

The Impact of Social Comparisons More Related to Ability vs. More Related to Opinion on Well-Being: An Instagram Study

Excessive Use of Mobile Phones and Social Networks Among Colombian University Students

Tendencies in the Application of Artificial Intelligence in the Processing of Photo Materials

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