Nice to be a fashion blogger, hard to be influential: An analysis based on personal characteristics, knowledge criteria, and social factors

SanMiguel, Patricia; Sádaba, Teresa

doi:10.1080/20932685.2017.1399082

Cited by 22 publications

(10 citation statements)

References 38 publications

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“…It is found that influential bloggers are habitual to reading fashion magazines, they keep on updating their blogs, and work together with media about fashion and fashion events. Such bloggers are active on the web and in their social circles which enable them to be influential in online as well as offline fashion environment [34]. A framework is also proposed to facilitate companies in information diffusion by exploring the influence of a blogger.…”

Section: Related Workmentioning

confidence: 99%

An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest

et al. 2019

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Bloggers play a role in individual decision making of users in online social networking platforms. Their capability of addressing a wide audience gives them influence over their audience, which companies seek to exploit. Identification of influential bloggers can be seen as a machine learning (ML) task and different ML techniques can help in classifying the professional blogger. In this paper, we propose a predictive and adaptive model named as Influential Blogger based Case-Based Reasoning (IB-CBR) model for the recognition of unseen influential bloggers. It incorporates self-prediction and self-adaptation (self-management) capabilities which are the essence of an automated system. The integration of Random Forest is found contributing to the efficiency of the IB-CBR model as compared to Nearest-Neighbor, and Artificial Neural Network. The performance of the proposed IB-CBR model is evaluated against other ML techniques by using standard performance measures on a standard blogger's dataset. It is observed that our proposed model exhibits 88-95% Accuracy and 94-97% True Positive Rate in the prediction and adaptation of professional bloggers, respectively, in three iterations of the proposed model. What's more, the IB-CBR model achieved 91-96% (increasing) F-measure, 91-98% (increasing) ROC AUC, and 36-11% (decreasing) False Positive Rate due to adaptivity. The IB-CBR model performed well when it is compared with other ML techniques using different standard datasets.INDEX TERMS Blogging, blogger classification, case based reasoning (CBR), machine learning.

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Section: Related Workmentioning

confidence: 99%

An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest

et al. 2019

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“…Micro-celebrities play a significant role in the social commerce economy by encouraging the participant and purchasing behaviors of online consumers (Kádeková and Holienčinová, 2018 ; SanMiguel and Sádaba, 2018 ). The rise of visual-oriented platforms further enlarges the influence of micro-celebrities by providing them opportunities to aesthetically design and present themselves (Djafarova and Trofimenko, 2019 ; Jin et al, 2019 ), which is helpful for attention-attraction and follower-accumulation (Leaver et al, 2020 ; Djafarova and Bowes, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Exploring the Relationship Between Visual Aesthetics and Social Commerce Through Visual Information Adoption Unimodel

2021

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The visual revolution and attention economy of the digital world have put visual aesthetic communication into the primary position of social media marketing. However, this phenomenon remains underexplored within social commerce research. This study thus develops a visual information adoption unimodel (VIAUM), to explore the relationship between visual aesthetics and social commerce intentions. Users with social commerce experience are invited to complete our online survey, and 321 valid data are collected. The results reveal that visual aesthetics has direct and indirect (via perceived usefulness) effects on the social commerce intention of users. Besides, interdependent self-construal (InterSC) strengthens the direct effect between visual aesthetics and social commerce intention. In contrast, independent self-construal weakens the mediation effects of perceived usefulness. This study is among the first attempts to empirically examine the intervening mechanism and boundary conditions between the visual aesthetics of self-presentation of micro-celebrity and the social commerce intention of consumers.

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“…For instance, a dataset of fashion bloggers belonging to Spain is collected to find influential bloggers among them. They concluded that influential bloggers keep their blogs updated, actively participate in online social circles, contribute in organizing fashion events with media and habitual in reading fashion magazines [32]. A weibo platform-dependant framework is offered for information spread by finding influential bloggers.…”

Section: Related Workmentioning

confidence: 99%

Predicting Influential Blogger’s by a Novel, Hybrid and Optimized Case Based Reasoning Approach With Balanced Random Forest Using Imbalanced Data

Asim

Raza

et al. 2021

IEEE Access

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Nice to be a fashion blogger, hard to be influential: An analysis based on personal characteristics, knowledge criteria, and social factors

Cited by 22 publications

References 38 publications

An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest

An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest

Exploring the Relationship Between Visual Aesthetics and Social Commerce Through Visual Information Adoption Unimodel

Predicting Influential Blogger’s by a Novel, Hybrid and Optimized Case Based Reasoning Approach With Balanced Random Forest Using Imbalanced Data

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