Quality Of User-generated Content Research Articles

Research on Influence of Network Effect on Service Demand for Social Media Products and Optimization Strategy

In the digital era, social media platforms have emerged as fundamental tools for communication, information dissemination, and influence on consumer behavior, marking a significant shift in the landscape of both personal and professional interactions. The critical role of network effects, where the value of a service amplifies as its user base expands, is central to understanding this transformation. This paper delves into the impact of network effects on service demand within social media, identifying both the opportunities for growth and the challenges, such as platform saturation and misinformation. Through a structured exploration that includes case studies of leading platforms like Facebook, this research highlights the strategies employed to harness positive network effects while mitigating negative ones. The investigation reveals the dual nature of network effects and how they contribute to the rapid proliferation of social media, alongside presenting obstacles such as user retention and the quality of user-generated content. It further examines how platforms leverage data analytics, enhance user experience, and innovate to sustain growth and engage users effectively. The findings suggest that while network effects can drive platform expansion and engagement, they necessitate nuanced strategies to manage potential downsides.

Research on strategies of content production and operation in brand virtual communities from the perspective of user thinking—Taking Lululemon as an example

Background: As a platform for value co-creation, branded virtual communities retain a large amount of user-generated content, which not only serves as a convenient way for brands to grasp consumer preferences but also influences the purchasing intentions of users themselves and other users. Methods: This paper takes the Lululemon Weibo community and Xiaohongshu community as an example, firstly, the paper uses Python to capture the text content generated by the members of the two communities, and then we clean and pre-process the acquired content. After that, with the help of the LDA model and the confusion evaluation index, we thematize the content generated by the members of the two communities and identify the hot topics. Finally, the paper makes a comparative analysis of the hot topics in the two Lululemon virtual communities. Results: Members of the two virtual communities pay attention to same topics like “Wear Sharing”, “Life Sharing” and “Product Design”. But there are still differences in the focus and constitution of the two communities. Conclusions: Enterprises can identify the hot topics through their brand virtual communities, which provide the basis for the motivation of user-generated content within the community, as well as provide inspiration for enterprises to output content and marketing within the community; enterprises also need to ensure that members of the community continue to participate in community interactions and to ensure that the quality of user-generated content. High-quality user-generated content not only provides companies with effective information but also but also retains old members and attracts new members. Therefore, this paper also provides suggestions for enterprises from three perspectives: community content, community atmosphere, and platform environment.

The use of dietary supplements and vitamin consumption during and after the Covid pandemic in Vietnam: a perspective of user-generated content

This paper aims to examine the key determinants of User-Generated Content (UGC) affecting consumers’ purchase intention toward buying vitamin and dietary supplement products during the coronavirus disease (COVID-19) outbreak through the social networking site, Facebook. Five determinants of UGC have been investigated in this context to highlight the association with the purchase intention of Vietnamese consumers these days, including Quality, Quantity, Trust, Utilitarian Value, and Hedonic Value of generated content by experienced users. This cross-sectional study collected data through an online survey questionnaire among 331 respondents from three different regions throughout the whole of Vietnam. The results show that Quality, Quantity, Trust, and Utilitarian Value of UGC have positive relationships with consumers’ intention to buy vitamin and dietary supplement products on Facebook during the COVID-19 pandemic, while the Hedonic Value of UGC is not associated with their behavioral intention of consumption. Lastly, the findings are expected to contribute valuable knowledge about COVID-19 from UGC and its consequences on health and selected supplement products for recent emerging changes. Finally, the results are also a solid premise for future research to enlarge the scale of situational issues and perspectives during the global COVID-19 pandemic.

Research on the Impact of UGC Quality on Consumers’ Purchase Intention

As the key engine of Internet shopping, online consumer groups in the 5G era has been increasing in recent years, making consumption behavior on Internet a new form of market development. According to the data of China’s Internet Development Status, by 2021, the number of Internet users in China has risen to 1.033 billion, and there are more than 2,000 5G+ industrial network projects under construction, of which the application rate of short video is as high as 90.6%. It can be seen that Internet retail is the current form of market economic development. TikTok, Micro videos, Huoshan short videos, etc. account for half of the short video marketing. The regular operation of the social economy in the face of the COVID-19 outbreak is encouraged by this new form of internet economy, which attracts consumers and encourages purchasing online. This study explains the quality of User-Generated Content (UGC) and examines its impact on consumers’ purchase intentions through a questionnaire poll.

The Influencing Mechanism of Interaction Quality of UGC on Consumers' Purchase Intention - An Empirical Analysis.

User-generated content (UGC) refers to online information created and shared by consumers that can influence other users’ purchase decisions. Due to the rapid development of new technologies in business, marketers’ dependency on UGC is rising. This study aims to explain how the interaction quality of UGC affects its credibility as a source and the usefulness of its information, as well as how it influences consumers’ online purchase intention. In addition, we examine the moderating effect of product involvement. We collected data from 272 users of social media in China to conduct empirical research. The SPSS and Amos were used to analyze the data and test the hypotheses. The results reveal that UGC interaction quality is positively related to purchase intention, and this relationship is mediated by perceived usefulness and trust. Further, consumers’ product involvement negatively moderates the effect of perceived usefulness and trust on purchase intention. Findings from this study are expected to extend the literature on UGC and give benefits to marketers and online business operators.

An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms

The quality of the user-generated content of citizen science platforms has been discussed widely among researchers. Content is categorized into data and information: data is content stored in a database of a citizen science platform, while information is context-dependent content generated by users. Understanding data and information quality characteristics and utilizing them during design improves citizen science platforms’ overall quality. This research investigates the integration of data and information quality characteristics into a citizen science platform for collecting information from the general public with no scientific training in the area where content is collected. The primary goal is to provide a framework for selecting and integrating data and information quality characteristics into the design for improving the content quality on platforms. The design and implementation of a citizen science platform that collects walking path conditions are presented, and the resulting implication is evaluated. The results show that the platform’s content quality can be improved by introducing quality characteristics during the design stage of the citizen science platform.

The impact of customer orientation on the quantity and quality of user-generated content

PurposeThe purpose of this paper is to examine the driving factors of user innovation behaviors using the case of smartphone applications to estimate the indirect and direct effects of consumers’ attitudes toward user-generated content (UGC).Design/methodology/approachThis study proposes a structural model to examine the relationship between user innovation behaviors toward UGC and three attitude factors: involvement, consumer knowledge and customer orientation. The empirical analysis is based on a consumer survey that examines the commonalities and differences between Japan and China. In each country, two social media services are chosen as representative cases of the UGC business model to measure user innovation behaviors toward the quality and quantity aspects.FindingsCustomer orientation is the most significant driving factor of user innovation behaviors toward UGC. It positively affects both the number of followers and the frequency of information transmissions. In particular, for the quality dimension of user innovation, customer orientation has a more significant effect on the number of followers than does familiarity.Originality/valueThis study emphasizes the quality aspect of user innovation. Previous research has focused on the quantity of user innovation behaviors by measuring the amount of information. However, this research measures both the quality and the quantity aspects with the number of followers and the frequency of uploading content. The findings of this study suggest that companies should maintain relationships with highly customer-oriented users to manage content quality.

Your comments matter: incorporating viewers’ comments for ranking online video content using bibliometrics

ABSTRACTThe quality of user-generated content over World Wide Web media is a matter of serious concern for both creators and users. To measure the quality of content, webometric techniques are commonly used. In recent times, bibliometric techniques have been introduced to good effect for evaluation of the quality of user-generated content, which were originally used for scholarly data. However, the application of bibliometric techniques to evaluate the quality of YouTube content is limited to h-index and g-index considering only views. This paper advocates for and demonstrates the adaptation of existing Bibliometric indices including h-index, g-index and M-index exploiting both views and comments and proposes three indices hvc, gvc and mvc for YouTube video channel ranking. The empirical results prove that the proposed indices using views along with the comments outperform the existing approaches on a real-world dataset of YouTube.

소셜미디어 UGC (User Generated Content) 기반 레스토랑 정보 제공자의 신뢰성과 정보 품질이 구전효과에 미치는 영향

소셜미디어 UGC (User Generated Content) 기반 레스토랑 정보 제공자의 신뢰성과 정보 품질이 구전효과에 미치는 영향

Dynamics of Content Quality in Collaborative Knowledge Production

We explore the dynamics of user performance in collaborative knowledge production by studying the quality of answers to questions posted on Stack Exchange. We propose four indicators of answer quality: answer length, the number of code lines and hyperlinks to external web content it contains, and whether it is accepted by the asker as the most helpful answer to the question. Analyzing millions of answers posted over the period from 2008 to 2014, we uncover regular short-term and long-term changes in quality. In the short-term, quality deteriorates over the course of a single session, with each successive answer becoming shorter, with fewer code lines and links, and less likely to be accepted. In contrast, performance improves over the long-term, with more experienced users producing higher quality answers. These trends are not a consequence of data heterogeneity, but rather have a behavioral origin. Our findings highlight the complex interplay between short-term deterioration in performance, potentially due to mental fatigue or attention depletion, and long-term performance improvement due to learning and skill acquisition, and its impact on the quality of user-generated content.

Who are the spoilers in social media marketing? Incremental learning of latent semantics for social spam detection

With the rise of social web, there has also been a great concern about the quality of user-generated content on social media sites (SMSs). Deceptive comments harm users' trust in online social medi...

User-Generated Content and Social Media

Abstract This chapter documents what economists have learned about user-generated content (UGC) and social media. A growing body of evidence suggests that UGC on platforms ranging from Yelp to Facebook has a large causal impact on economic and social outcomes ranging from restaurant decisions to voting behavior. These findings often leverage unique datasets and methods ranging from regression discontinuity to field experiments, and researchers often work directly with the companies they study. I then survey the factors that influence the quality of UGC. Quality is influenced by factors including promotional content, peer effects between contributors, biases of contributors, and self-selection into the decision to contribute. Non-pecuniary incentives, such as “badges” and social status on a platform, are often used to encourage and steer contributions. I then discuss other issues including business models, network effects, and privacy. Throughout the chapter, I discuss open questions in this area.

Reviewing the landscape of research on the threats to the quality of user‐generated content

ABSTRACTThe objective of the paper is to review and synthesize scholarly articles on the threats to the quality of usergenerated content (UGC). In this paper, threats to the quality of UGC are defined as the perpetration of misleading information caused by the lack of editorial control. They include deception, disinformation, manipulation, misinformation and rumors whose veracity cannot be easily established. In particular, this paper identifies (a) the research objectives that had been investigated, (b) the research methods that had been employed, and (c) the disciplines that studied the threats to the quality of UGC. The dominant research objective includes investigating the dynamics of threats. The most widely adopted research methods include quantitative analysis of real world data. This area of research was found to attract both intra‐disciplinary and inter‐disciplinary scholarly attention. It even attracted attention from practitioners affiliated to non‐academic institutes. Finally, this paper serves as a call for scholars to identify possible ways to mitigate the threats to the quality of UGC. It also encourages the use of qualitative approaches.

Research on Process Control of Human Resource Management Based on Visualization Technology

With the development of computer and multimedia technology, social media platforms are widely used in various fields, so this paper introduces the design of network multimedia platform in the human resources management system, and designs a kind of new human resources management computer system. In order to improve the level of human resource management, it can introduce more talents and rational allocation human resources for enterprises, so we must improve the user generated content quality of social networking platform, eliminating spam behavior, and improving the social network human resource platform reputation. This paper establishes the security mechanism related mathematical model of social network human resources system. Through the VB programming control, it can implement the security of social network content, the automatic removal of rubbish short message and the optimal audit mechanism of system human resource management, which provide innovative solutions for the enterprise human resource management.

New members’ online socialization in online communities: The effects of content quality and feedback on new members’ content-sharing intentions

Online communities’ viability and success are dependent on current members’ active participation and content contribution, as well as on the sustainable community registration of new members. Based on the member-life cycle perspective, this study attempted to discover mechanisms that might be employed to increase new members’ community participation. This study focused on user-generated content (UGC) sharing. The results of this study suggest that UGC quality gaps that exist between current and new members are important factors that might affect new members’ socialization. In addition, the results demonstrated that feedback provided by members can affect new members’ participation when UGC quality gaps exist. The results revealed that new members preferred an equivalent UGC community to either a superior or inferior community when they were unable to derive benefits from those communities. However, an investigation of the types of feedback provided revealed that new members expressed preferences for superior UGC communities to obtain learning opportunities and expressed preferences for inferior UGC communities to develop social relationships. This study can help researchers better understand how UGC communities’ elements can affect new members’ behaviors. In addition, the results can help community managers devise differentiated approaches.

The importance of user‐generated content: the case of hotels

PurposeThe purpose of this paper is to develop understanding about the quality of user generated content (UGC) on web sites from the point of view of the customer. This is an area not yet explored, while the use of UGC is expanding on many web sites and its importance is rapidly growing.Design/methodology/approachThe research undertaken is a pilot amongst a small number of interviewees who have been asked to judge the quality of UGC on hotel web sites.FindingsThe findings of the research show that three types of information are needed by the person using UGC on hotel web sites: objective information about the hotel; information about the reviewer's qualifications; and information about the reviewer's beliefs and expectations.Research limitations/implicationsBecause of the small number of interviewees this research is limited and can be defined as explorative. The outcomes can be used to develop a survey instrument in relation to further research on user generated content.Originality/valueThis research is original because there has not been any other initiative in this area and it will certainly stimulate more research because of the importance UGC has in a world of expanding internet usage. The outcomes of the small‐scale pilot will make it possible to develop broader quantitative research on UGC on web sites.

Moderated Online Communities and Quality of User-Generated Content

Online communities provide a social sphere for people to share information and knowledge. While information sharing is becoming a ubiquitous online phenomenon, how to ensure information quality or induce quality content, however, remains a challenge due to the anonymity of commentators. This paper introduces moderation into reputation systems. We show that moderation directly impacts strategic commentators incentive to generate useful information, and moderation is generally desirable to improve information quality. Interestingly, we find that when being moderated with different probabilities based on their reputations, commentators may display a pattern of reputation oscillation, in which they generate useful content to build up high reputation and then exploit their reputation. As a result, the expected performance from high-reputation commentators can be inferior to that from low-reputation ones (reversed reputation). We then investigate the optimal moderation resource allocation, and conclude that the seemingly abnormal reversed reputation could arise as an optimal result. The paper concludes with a discussion of the development of a scientific moderation system with application to academic publishing.