Enregistering cuteness of fashion clothes on Chinese social media

Li, Kunming

doi:10.1177/1359183521994876

Cited by 5 publications

(4 citation statements)

References 39 publications

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“…A cuteness taxonomy developed by Marcus et al (2017) includes the following elements of cuteness: media (e.g., emojis, emoticons), appearances (e.g., colors, shapes, anthropomorphism), sounds (e.g., high-pitched, babylike), language (e.g., specific vocabulary), and behavior (e.g., gestures or posture that make the entity be perceived as cute). One additional linguistic attribute of cuteness is the frequent use of diminutives in the online contexts, e.g., in Chinese social media (Li, 2021). While several emotional content annotation guides exist, most focus on a small set of 6-9 emotions, and to our knowledge, none cover cuteness or kama muta (see Bostan and Klinger, 2018 for a review) with the exception of the Social Media Emotions Annotation Guide (SMEmo Guide) 3.32, originally developed as part of an effort to analyze 20+ emotions in social media which includes cute content (Paletz, 2018;Paletz et al, 2020;version 4.0 Paletz et al, 2022; see use in Murauskaite et al, n.d.).…”

Section: Cuteness As a Universal Constructmentioning

confidence: 99%

The construct of cuteness: A validity study for measuring content and evoked emotions on social media

Golonka

Jones²,

Sheehan³

et al. 2023

Front. Psychol.

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Social media users are often exposed to cute content that evokes emotional reactions and influences them to feel or behave certain ways. The cuteness phenomenon in social media has been scarcely studied despite its prevalence and potential to spread quickly and affect large audiences. The main framework for understanding cuteness and emotions related to cuteness outside of social media is baby schema (having juvenile characteristics), which triggers parental instincts. We propose that baby schema is a necessary but not sufficient component of explaining what constitutes cuteness and how people react to it in the social media context. Cute social media content may also have characteristics that evoke approach motivations (a desire to interact with an entity, generally with the expectation of having a positive experience) that can manifest behaviorally in sharing and other prosocial online behaviors. We developed and performed initial validation for measures in social media contexts of: (1) cute attributes that encompass both baby schema and other proposed cuteness characteristics (the Cuteness Attributes Taxonomy, CAT) and (2) the emotional reactions they trigger (Heartwarming Social Media, HSM). We used the Kama Muta Multiplex Scale (KAMMUS Two), as previously validated measure of kama muta (an emotion akin to tenderness; from Sanskrit, “moved by love”) as a measure of emotional reaction to cute stimuli and the dimension Cute Content of the Social Media Emotions Annotation Guide (SMEmo-Cute Content) as a developed measure of gestalt cute content to help validate our newly developed measures. Using 1,875 Polish tweets, our results confirmed that cute social media content predicted a kama muta response, but not all KAMMUS Two subscales were sensitive to cute content, and that the HSM measure was a better indicator of the presence of cute content. Further, the CAT measure is an effective means of categorizing cute attributes of social media content. These results suggest potential differences between in-person, online, and social media experiences evoking cute emotional reactions, and the need for metrics that are developed and validated for use in social media contexts.

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Section: Cuteness As a Universal Constructmentioning

confidence: 99%

The construct of cuteness: A validity study for measuring content and evoked emotions on social media

Golonka

Jones²,

Sheehan³

et al. 2023

Front. Psychol.

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“…In this manner, the registration enacts a limited social sphere of understanding, manipulating the intended meanings of the fashion clothes in question. This study seeks to recalibrate the biased hermeneutics of cute material culture, which often reduces beautiful apparel to material immediacy and consumerist passivity, by concentrating on reflective and manipulative discursive registration practices [2]. According to Liang, most of the audience's access to information has shifted from conventional to mobile media [3].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The primary distinction between brand marketing and media marketing in the new media landscape is brand marketing. When doing brand marketing, information communication is reciprocal [2][3][4].…”

Section: Literature Reviewmentioning

confidence: 99%

The Research on the Context and Style of Avant-garde Fashion on Chinese Social Media Platforms

Wang¹,

Zhang

2023

LNEP

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The way the general public comprehends, and processes fashion has evolved as a direct result of the proliferation of social media platforms, particularly the growth of the "influencer" profession, which has steadily eroded the once-dominant position of fashion magazines and editors. This study does more than only close the gaps in the knowledge of avant-garde fashion's communication and style; it also delves into the curious phenomena of niche fashion trends shared on Chinese social media. The authors analyzed the contexts of fashion-related influencers on TikTok and Xiaohongshu, like @AHALOLO, @MetaArchive, and @Instantly to fill the gaps in the understanding of fashion subcultures. The study also addressed the phenomenon of "viral" fashion trends on Wechat, Bilibili, and Tiktok. It concluded that the continued existence of labels is primarily attributed to the media's efforts. By increasing brand awareness, audience engagement, customer service, advertising income, and app downloads, media has helped firms keep their operational costs and revenue high. As facilitated by new media, the rapid and varied dissemination of fashion ideas may increase both their societal and consumer worth. The exchange of knowledge made possible by new media is assisting the fashion industry in meeting the demands of its customers. Improved fashion industry demand forecasting and production planning may result from better internal communication and consumer assessment.

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“…Especially in recent years, Chinese clothing and dress pattern design is facing major challenges due to the influence of multiculturalism [8]. In the field of clothing and dress pattern design, there are various contents and styles, so how to effectively carry out the work of clothing and dress pattern design has become a problem that needs to be seriously considered by people in the industry [9]. With the revival and rise of the Chinese style, the reintroduction of traditional patterns into clothing and dress pattern design not only creates great opportunities for the field but also becomes an inevitable trend for the current and future development of clothing and dress pattern design [10].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Integration and Value of Chinese Traditional Elements and Modern Clothing Design under Big Data Technology

2024

Applied Mathematics and Nonlinear Sciences

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Under the rich cultural background, clothing design should effectively integrate traditional culture to provide people with better quality clothing products and meet the demands of the development of clothing culture. This paper analyzes the classification and application value of traditional elements and explores the expression strategies and application steps of conventional elements in clothing design. Then, we use the VGG network as the basis and combine the semantic extraction network and style migration network to extract the styling features of traditional elements, introduce the OTSU algorithm to extract the pattern features of traditional cultural elements, and combine the improved K-Means clustering algorithm to extract the main color of conventional elements. The practice of clothing design was conducted using the Republican style as a source of inspiration, and the effectiveness of the mentioned methods and the application of clothing design were evaluated and analyzed. It was found that the color purity extracted by the improved K-Means clustering algorithm was about 2.5 times higher than the result of the octree method, and the testers’ ratings of the pattern and novelty of the clothing design reached 3.81 and 4.29, respectively. The technique allows for the effective integration of traditional elements extracted based on the method into modern clothing design, promoting more diversity in the visual expression of contemporary clothing design.

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Enregistering cuteness of fashion clothes on Chinese social media

Cited by 5 publications

References 39 publications

The construct of cuteness: A validity study for measuring content and evoked emotions on social media

The construct of cuteness: A validity study for measuring content and evoked emotions on social media

The Research on the Context and Style of Avant-garde Fashion on Chinese Social Media Platforms

Exploring the Integration and Value of Chinese Traditional Elements and Modern Clothing Design under Big Data Technology

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