scholarly journals A Social Media Mining and Ensemble Learning Model: Application to Luxury and Fast Fashion Brands

Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 149
Author(s):  
Yulin Chen
Keyword(s):  
Public Participation ◽  
Brand Positioning ◽  
Image Model ◽  
Web Crawler ◽  
Fast Fashion ◽  
Social Media Mining ◽  
Fashion Brand ◽  
Community Information ◽  
Brand Information ◽  
Media Mining

This research proposes a framework for the fashion brand community to explore public participation behaviors triggered by brand information and to understand the importance of key image cues and brand positioning. In addition, it reviews different participation responses (likes, comments, and shares) to build systematic image and theme modules that detail planning requirements for community information. The sample includes luxury fashion brands (Chanel, Hermès, and Louis Vuitton) and fast fashion brands (Adidas, Nike, and Zara). Using a web crawler, a total of 21,670 posts made from 2011 to 2019 are obtained. A fashion brand image model is constructed to determine key image cues in posts by each brand. Drawing on the findings of the ensemble analysis, this research divides cues used by the six major fashion brands into two modules, image cue module and image and theme cue module, to understand participation responses in the form of likes, comments, and shares. The results of the systematic image and theme module serve as a critical reference for admins exploring the characteristics of public participation for each brand and the main factors motivating public participation.

scholarly journals Social media mining in drug development—fundamentals and use cases

2021 ◽  
Author(s):  
Jonathan Koss ◽  
Astrid Rheinlaender ◽  
Hubert Truebel ◽  
Sabine Bohnet-Joschko
Keyword(s):  
Social Media ◽  
Drug Development ◽  
Use Cases ◽  
Social Media Mining ◽  
Media Mining

SOCIAL MEDIA MINING SHARED TASK WORKSHOP

2015 ◽  
Author(s):  
ABEED SARKER ◽  
AZADEH NIKFARJAM ◽  
GRACIELA GONZALEZ
Keyword(s):  
Social Media ◽  
Shared Task ◽  
Social Media Mining ◽  
Media Mining

Benefit appeals and perceived corporate hypocrisy: implications for the CSR performance of fast fashion brands

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaoyong Wei ◽  
Sojin Jung
Keyword(s):  
Online Survey ◽  
Interactive Effect ◽  
Critical Role ◽  
Experimental Manipulation ◽  
Chinese Consumers ◽  
Significant Interaction Effect ◽  
Fast Fashion ◽  
Content Type ◽  
Fashion Brand ◽  
Corporate Social

Purpose When fast fashion brands launch corporate social responsibility (CSR) programs, consumers may consider these brands to behave hypocritically as their business model is generally perceived as being inconsistent with sustainable practices. Built on construal level theory (CLT), this study aims to examine how the benefit appeals that are widely used in CSR initiatives affect perceived corporate hypocrisy and the CSR performance of fast fashion brands. Design/methodology/approach This study designed an online experiment with a 2 (fashion brand: fast fashion vs. unknown) × 2 (benefit appeal: self-benefit vs other-benefit) stimulus, using a virtual label named “Eco Care” for experimental manipulation. A total number of 298 Chinese consumers participated in the experiment and they answered an online survey. Findings It was found that the brand types (fast fashion vs unknown) and benefit appeals (self-benefit vs other benefit) did not elicit perceived corporate hypocrisy nor did them directly affect perceptions of CSR performance. However, there was a significant interaction effect of them. That is, fast fashion brand’s CSR performance was judged based on how the brand framed its sustainability claims. A fast fashion brand’s CSR label significantly increased hypocrisy perceptions when the label used a self-benefit appeal and the interactive effect of the fast fashion brand and the self-benefit appeal hindered the formation of a green brand image and brand purchase intentions. Originality/value This study adds a body of knowledge to the literature by examining the relationship between benefit appeals and perceived corporate hypocrisy from the perspective of CLT. The findings can help fast fashion marketers better understand the critical role of benefit appeals by acknowledging that the misuse of communication strategies may result in unfavorable consequences, thus ruining their efforts to improve their brand’s image.

scholarly journals Análisis del hashtag #MeQuedoEnCasa: la conversación digital por twitter® ante la emergencia producida por la covid-19

2021 ◽  
Vol 26 (2) ◽  
pp. 375-394
Author(s):  
Cristina Vela Delfa ◽  
Lucia Cantamutto ◽  
Marian Núñez-Cansado
Keyword(s):  
Social Media ◽  
Redes Sociales ◽  
Social Media Mining ◽  
Media Mining

La crisis sanitaria de la covid-19 vino acompañada de medidas de aislamiento, entre las que se encontraba el confinamiento domiciliario, que provocaron múltiples reacciones en las redes sociales. El objetivo de este artículo consiste en analizar la conversación digital observada en Twitter®, en torno al hashtag #MeQuedoEnCasa, en el periodo comprendido entre el 20 y el 27 de marzo de 2020. El estudio parte de una metodología mixta, en la que se combinan técnicas de análisis del social media mining con estrategias cualitativas propias del análisis lingüístico. Desde el punto de vista teórico, nos apoyamos en conceptos de las teorías del encuadre y de la valoración. Los resultados apuntan al enmarque positivo del confinamiento, a través de rasgos semióticos de distinto nivel: léxico, semántico y pragmático. Las cuentas más influyentes inclinaron su producción discursiva hacia la polaridad positiva. El análisis empírico permite concluir que el encuadre discursivo de esta conversación digital combina dos ejes semánticos (colectividad y salud), dos ejes enunciativos (aquí y ahora) y un eje emocional, lo que implica que hashtags como #MeQuedoEnCasa funcionan como señas de identidad social, como marcas de anclaje enunciativo y como instrumentos para fomentar la responsabilidad del individuo desde valores positivos.

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