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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Kobe Influencer Marketing: Using Social Media To Promote A Herbal Tea Brand, Patricia Lui, Lipika Bhattacharya
Kobe Influencer Marketing: Using Social Media To Promote A Herbal Tea Brand, Patricia Lui, Lipika Bhattacharya
Asian Management Insights
In July 2019, Evangeline Leong, co-founder and CEO of Kobe, a Singapore-based start-up providing influencer marketing services, had a challenging task ahead of her.
5 Ways To Boost Your Business Through Influencer Marketing, Patricia Lui
5 Ways To Boost Your Business Through Influencer Marketing, Patricia Lui
Research Collection Lee Kong Chian School Of Business
Covid-19 pandemic’s economic impact put pressure on marketing budgets. Brands are more careful when deciding how they spend the funds on digital marketing, including influencer strategy. The blog offers tips on how to tap on influencers to create brand awareness and generate business leads and conversions.
Fostering Parasocial Relationships With Celebrities On Social Media: Implications For Celebrity Endorsement, Siyoung Chung, Hichang Cho
Fostering Parasocial Relationships With Celebrities On Social Media: Implications For Celebrity Endorsement, Siyoung Chung, Hichang Cho
Research Collection Lee Kong Chian School of Business
The purpose of this study was to explore the underlying mechanisms through which the use of social media affects endorser effectiveness. Based on theories related to parasocial relationships,self-disclosure, and celebrity endorsement, this study proposed a theoretical research model and empirically tested the model using online survey data collected from 400 Korean Wave fans in Singapore. The results showed that consumers’ parasocial interactions with celebrities though social media have a positive impact on celebrity endorsement. Specifically, we found that: (1) parasocial relationships mediated the relationships between social media interactions and source trustworthiness, (2) social media interactions influenced parasocial relationships via self-disclosure;and …
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Research Collection School Of Computing and Information Systems
The vast amount and diversity of the content shared on social media can pose a challenge for any business wanting to use it to identify potential customers. In this paper, our aim is to investigate the use of both unsupervised and supervised learning methods for target audience classification on Twitter with minimal annotation efforts. Topic domains were automatically discovered from contents shared by followers of an account owner using Twitter Latent Dirichlet Allocation (LDA). A Support Vector Machine (SVM) ensemble was then trained using contents from different account owners of the various topic domains identified by Twitter LDA. Experimental results …