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The amount of time people spent on social media, as well as the number of online purchases, increased rapidly in the second half of 2020. The opinions and reviews of real customers have always been incredibly influential but in the absence of personal contact, user-generated evaluations, and product descriptions became more prominent on the internet.
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BetaSeveral studies have explored the effects of user-generated photos on customer engagement on either social networking sites (Li & Xie, 2020) or customer review sites (Li et al., 2021; Ma, Xiang, Du, & Fan, 2018).However, these studies tend to focus on the audience's interaction with a focal post as evidenced by comments, shares, and “likes” or “helpful” votes.
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BetaSince user-generated content provides the promise of personalized online health information, challenges to credibility assessment have been acknowledged by some scholars (Moturu et al., 2008). Some challenges stem from the complexity and volume of information, which are due to the dynamic nature of the user-generated contents (e.g., constant evolution of online reviews and wiki contents).
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BetaUser-generated content (UGC) from e-commerce platforms and third-party platforms can impact customer-perceived risk and influence product sales in online stores. However, the understanding of UGC from which platform type yields a stronger effect on product sales and how the effects interact across the platforms remains limited. This limitation arises from the complexity of consumer purchasing ...
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BetaThe rapid increase in user-generated-content (UGC) videos calls for the development of effective video quality assessment (VQA) algorithms. However, the objective of the UGC-VQA problem is still ambiguous and can be viewed from two perspectives: the technical perspective, measuring the perception of distortions; and the aesthetic perspective, which relates to preference and recommendation on ...
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BetaRecently, we have observed an exponential increase of user-generated content (UGC) videos. The distinguished characteristic of UGC videos originates from the video production and delivery chain, as they are usually acquired and processed by non-professional users before uploading to the hosting platforms for sharing. As such, these videos usually undergo multiple distortion stages that may ...
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BetaHowever, with the increase in how user content can be generated and shared (audio, video, and images), multimodal representation of UGC has become increasingly popular. This article reviews the credibility assessment of UGC in various domains, particularly identifying fake news, suspicious profiles, and fake reviews and testimonials, focusing on both textual content and the source of the ...
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BetaThe Impact of Brand-related User-Generated Contents (UGC) on Luxury Brand Evaluations: The Moderating Role of Perceived Influencer-Consumer Fit January 2025 DOI: 10.31274/itaa.18724
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BetaDuring the past few years, video quality assessment (VQA) of user generated content (UGC) has attracted considerable attention in the research community. In this paper, we propose a practical architecture for a versatile video quality model, designed for assessing user generated videos in particular. The proposed architecture is based on our earlier design of two-level video quality model with ...
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BetaThe role of price in prepurchase evaluations for variably priced services has not been widely examined. Increased consumer awareness of variable pricing practices, coupled with growing availability of user-generated content (UGC) at the point of purchase in the online environment, may be changing the way that consumers use price in purchase decisions.
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