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UGC refers to information posted online by users that can influence other consumers’ purchasing decisions. With the growth of the Internet, marketers’ reliance on UGC has increased. This study aims to explain how the informational and normative features of UGC affect consumers’ purchase intentions, and also investigates the mediating role of perceived value in the relationship between informational features and purchase intentions and the moderating role of persuasion resistance. In this paper, questionnaire data from 352 social e-commerce users was collected for the empirical study, and for data analysis and testing hypotheses, SPSS and Smart PLS were employed. In addition, the data of 4,724 reviews of 286 notes on Little Red Book's La Mer magic face cream were analyzed by Python to quantify the variables with real review data, and hypotheses 1 and 2 were repeatedly tested. The results show that in the central path, informative features (diversity and relevance) indirectly affect purchase intention through perceived value. This indicates that providing rich and relevant User Generated Content (UGC) is an important strategy to enhance consumer purchase intent. Persuasive resistance plays a negative role in regulating perceived value and purchase intention, it underscores the importance of maintaining the authenticity and neutrality of information to reduce the negative impact of persuasion resistance on purchase intentions. In the marginal path, normative features (the publisher's professionalism) positively affect purchasing intention. Therefore, emphasis should be placed on enhancing the professionalism of content creators to increase consumer trust, thereby promoting purchase behaviour. Finally, according to the research results, this paper proposes countermeasures on how to promote consumers’ purchase intention from both enterprises and platforms. [ABSTRACT FROM AUTHOR]

The visual framing of war has always been the most challenging area of photojournalism, and even more so in the post-digital age, when the transition from analog to digital becomes almost indistinguishable. We examine the photographic coverage of the Russo-Ukrainian conflict during the first half of the full-scale invasion of Ukraine by analyzing the major Russian and Ukrainian newspapers: Rossiyskaya Gazeta and Ukrayinska Pravda. These media are the most representative open-access newspapers from countries at war in terms of the number of users and articles dedicated to war coverage. Based on a sample of 17,546 news articles published during the first six months of the war (10,376 Ukrainian and 7,170 Russian) and focusing on a precise selection of key events of the conflict, we combine and integrate quantitative methods and in-depth analysis. Both newspapers share structural features to classify and access the reported issues by tagging them with a significant range of keywords that contribute to shaping readers' and viewers' perceptions of the conflict. In our mixed methods research, we examine the sample to establish a categorization of the main characteristics of post-photojournalism, where old practices collide with the new dynamics of the post-truth era of photojournalism. [ABSTRACT FROM AUTHOR]

Machine translation (MT) has surpassed all quality expectations and its use has increased exponentially in recent years (Forcada 2017; Sánchez-Gijón, Moorkens, and Way 2019). One of the most frequent MT applications is the translation of user-generated content (UGC) and, more specifically, reviews on tourism portals such as Tripadvisor. Several authors agree that the degree of trust and credibility of a review, as the most important characteristics of UGC, depends largely on the perceived naturalness and authenticity of its writing (Pollach 2006; Schemmann 2011; Vásquez 2014). The review's influence on the product's reputation and on the purchase decision-making of future users has been fully demonstrated. Since review platforms make reviews available to users in different languages translated by MT, the quality of MT output should be studied from the point of view of the text's adaptation to the requirements of a specific audience and market, following the principles elaborated in localization studies. The aim of this paper is to analyze the behavior of neural MT of user-generated content from the perspective of localization to check whether MT quality depends exclusively on linguistic or stylistic aspects or whether the aspects studied by localization, such as linguistic and cultural appropriateness for the target user, also play a decisive role. We compiled an English-Spanish parallel corpus consisting of 250 reviews retrieved from Tripadvisor. The reviews were originally written in English and MT processed into Spanish. Then the quality of the MT output was evaluated following two parameters: correctness and acceptance according to MT quality scales and localization guidelines. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to explore the ability of the combination of Theory of Reasoned Action (TRA) and Information Adoption Model (IAM); to predict and explain how Firm-Generated Content (FGC) and User-Generated Content (UGC) influence the intention to use telehealth services in Vietnam. A total of 751 citizens participated in this study based on the non-probability convenience sampling method. They completed the survey questionnaires, which consisted of 31 items rated on a 5-point Likert scale. The authors analyzed the quantitative data by using structural equation modeling. The results from SEM demonstrated the positive relationships in the proposed research model. This study adds to existing research on how FGC and UGC affect citizen intentions, particularly within the healthcare industry. Based on the study findings, the authors propose several recommendations for the application of FGC and UGC in telehealth services offered by hospitals and healthcare facilities.

This paper investigates the mixed influence of brand-generated and credible usergenerated content on customer behaviour response. The research involved surveying 400 people buying online, aged 18 years and over, in the Pathum Thani province, Thailand. Primary demographic data were collected between October and December 2022 and analysed employing descriptive statistics and structural equation modelling. The result of study indicated that the credibility business generated content has no significant influences on consumer behaviour response. The research also revealed that the credibility of brand generated content has significant influences on customer behavior response through positive user generated content. Consequently, businesses must prioritize the quality of their content and consider integrating user generated content into their marketing strategy for --customer engagement effectively. [ABSTRACT FROM AUTHOR]

Copyright of ABI Technik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study addresses gaps in understanding accommodation satisfaction on Airbnb, focusing on Morocco as a representative of an important but unexplored region. It introduces guest count as a control variable and explores both linear and non-linear factors affecting satisfaction. Analyzing Airbnb reviews from 2013 to 2023, it emphasizes geographically-dependent determinants and variations in relevance based on host numbers. Non-linear links reveal overlooked factors, enhancing understanding beyond linear approaches. Accompanied by explanations, tables, and illustrations, the study aids Airbnb stakeholders in improving services. [ABSTRACT FROM AUTHOR]

Objective of the study: This research paper aims to develop a conceptual framework based on an extensive literature review in the area of social media communication (SMC) consisting of Firm Generated Content (FGC) and User Generated Content (UGC) to unearth their influences on social media brand engagement (SMBE) and customer-based brand equity (CBBE). The role played by perceived risk is also highlighted. Methodology/approach: This study has critically evaluated the literature to propose the conceptual framework using 101 research articles from 1974 to 2023 that directly or indirectly comprised at least one of the constructs. Main results: This literature review found contradictory results regarding which source is more credible on social media, the firm or the user. This empirical gap is firstly deliberated. Secondly, the disparity on whether engagement drives equity or equity drives engagement on social media led to the conceptual gap. The conceptual model is formulated based on this debate. Theoretical/methodological contributions: While the independent constructs are drawn from the elaboration likelihood model and source credibility theory, the mediating role of SMBE is posited based on the social identity theory. Relevance/originality: In the context of social media, this conceptual model highlights the mediating effect of brand engagement and the moderating effect of perceived risk between social media communication and CBBE. The influence of mediation and moderation could explain the path to CBBE more explicitly. [ABSTRACT FROM AUTHOR]

Comedian Ángel Martín edits and presents the Informativo matinal para ahorrar tiempo (IMPAT), a daily two-minute audiovisual newscast distributed on major social networks, with a daily audience of around one million views. This format has generated a community of followers who expand its original content by creating mimetic sector-specific news programs. This study analyzes the thematic agenda and stylistic features of the IMPAT, as well as the news programs developed by its followers. The results show a predominance of soft news and non-news content, as well as the presence of narrative traits characteristic of infotainment. The followers expand the IMPAT by creating their own news programs, also focused on soft news and with similar styles. Thus, IMPAT stands out as an alternative newscast around which a unique informational fandom has been consolidated, with content generated by its users as news prodesigners. [ABSTRACT FROM AUTHOR]

This article provides an introductory examination of Urban Dictionary, focusing on its attributes and distinctive features. In the article the functionalities of the webpage are explored, the structure of entries is analysed and a typology of definitions is proposed. Through detailed analysis of specific examples from the Urban Dictionary lexicon, the dynamics of this user-generated content platform is discussed. The paper highlights the significance of individual and social perspectives of users as well as the aspects of creativity, humour and narratives included in the definitions. The paper aims to contribute to better understanding of the phenomenon of Urban Dictionary in the context of social linguistics.

The coronavirus epidemic, which emerged in Wuhan at the end of 2019, spread worldwide and caused more than 4 million deaths as of 2021. The cruise industry, whose goal is to maintain customer satisfaction at the highest possible level, like all service industries, has passed a difficult test with serious coronavirus disease-2019 (COVID-19) cases that emerged on various ships. The new rules of the COVID-19 pandemic are reflected in the service processes of the ships that started to sail again after a long-term pause in the sector. The main motivation of this study is to determine whether the factors affecting customers' perceived service quality have changed during the pandemic period in the cruise industry, which is one of the sectors where service quality should be maintained high. Therefore, this study aims to determine the factors affecting the perceived service quality of cruise passengers and determine the new factors that occurred during the pandemic. To achieve this goal, the online narratives of 418 passengers cruising in the European Region between September 2020 and September 2021 were analyzed using Leximancer software, and key elements of passengers' perceptions of service quality were determined. As a result of the study, it was found that cabin location, restaurant quality, and COVID-related variables became significant factors affecting the perceived service quality of cruise passengers during the pandemic period. Additionally, disembarkation and embarkation, which were important variables in the pre-COVID period, were reclassified under the COVID category. The study also determined that adherence to COVID-19 measures by cruise companies positively impacted customer satisfaction during this period.

Purpose: This research paper explores the following phenomena that impact content strategy in technical communication (TC): 1) understudied user analysis methods that reveal users' information seeking behavior, 2) changes in infrastructure design for innovative user research practices, 3) skill sets required by technical communicators to carry out content strategy tasks. Methods: Methodologically, the article reports findings from 19 interviews conducted with TC practitioners who hold titles such as technical writer, content strategist, information developer, information architect, and documentation manager. Results: The interviews revealed more than 13 practices/methods in which users' interactions resulted in data that provided more information about them which impacted the design of content platforms. I classified the findings into 4 main categories of users' interactions that hold valuable insights about users' information consumption behavior. These insights that can be used to make informed content strategy decisions are lost if the data is not carefully processed. Conclusion: This paper demonstrates how user interactions can inform research on content strategy in TC and how it impacts the processes of users, as well as the impacts on existing roles of technical communicators. I argue that we need to be more purposeful about analyzing users' interactions that produce data and design infrastructures to support interactions as part of an organization's content strategy goals. My future work will focus on how issues such as privacy, surveillance, and incentivization can be handled in situations where users' information is used for audience analysis purposes. [ABSTRACT FROM AUTHOR]

While studies of live video streaming focus primarily on donations from an economic perspective and streamers’ endorsement of donations, our study draws attention to the phenomenon of unwanted content, particularly in the context of donations. The paper examines the behavior of gaming live streamers on two leading streaming platforms: YouTube and Twitch. Our study covered hundreds of hours of public live streams conducted by streamers from four countries. Recognizing the unequal roles of streamers and their audiences, we introduce the term ‘audience generated content’ (AGC) as a subset of user generated content (UGC). In the article, we present features and conditions that may cause streamers to be reluctant about the donations they receive. We also provide typology and characteristics of strategies to overcome unwanted donations. Since aversion to certain donations is often related to their hateful nature, our article also highlights the major flaws in algorithmic monitoring. [ABSTRACT FROM AUTHOR]

The focus of this research is to ascertain how the material created by the user, through the perception of usability and the perception of trust, influences the purchase intent. Purposive sampling is the strategy used in this qualitative research. 154 people who use social media and search for user-generated content (UGC) to find information about a product. The data analysis of this study was carried out using SmartPLS 4.0. The results of the hypothesis show that the p-value of each relationship between variables has a value below 0.05. The findings show that there is an influence of user-generated content on purchase intention. The perceived usefulness and perceived trust variations are also able to mediate the relationship between user-generated content and purchase intent. [ABSTRACT FROM AUTHOR]

Utilising User Generated Content (UGC) on social media platforms like TikTok and Facebook can establish genuine connections between content creators and their audience. However, managing and maintaining long-term brand development remains a significant challenge. Research on the mechanisms behind sustainable brand support attitudes towards UGC is limited. This paper explores whether a self-deprecating style of humour affects audiences’ sustained brand support attitudes towards social media content creators. Theoretically, this study combines Affective Events Theory (AET) and Intergroup Emotion Theory (IET) to explore how individual attitudes extend to group reactions and the sustainability of personal brands. It aims to thoroughly investigate, in the context of social media, the cognitive and emotional changes in individuals towards themselves and their groups under the stimulus of UGC self-deprecating humour, as well as the process of forming sustainable brand support attitudes. Methodologically, this study employs a covariance-based structural equation model to establish the path mechanism of self-deprecating humour expression on sustainable brand support attitudes at both individual psychology and group attitude levels. Additionally, it analyzes the limitations of self-deprecating humour in UGC, considering users with varying levels of need for cognition. Lastly, the paper discusses the theoretical contributions and practical implications of this study. [ABSTRACT FROM AUTHOR]

This research wants to identify factors that considered by consumers in choosing a flagship smartphone based on user comments on YouTube, measure the proportion of positive and negative consumer sentiments in choosing flagship smartphones, and identify factors that contribute to positive and negative sentiments from flagship smartphones. Utilizing data with scraping technique from YouTube and performed a qualitative analysis of a set of user comments. This research use Topic Modeling with LDA algorithm and Sentiment Analysis with Naïve Bayes to analyse the data. The research results reveal the factors consumers consider in choosing a flagship smartphone were price, software, screen, camera, and performance with the proportion of positive sentiment was 48%, while negative sentiment was 52%. The research results also show that the contributing factors associated with positive sentiments from flagship smartphones were performance, software, and cameras while the contributing factors related to negative sentiments were software, price, and cameras. [ABSTRACT FROM AUTHOR]

This paper explores online brand advocacy (OBA) in a tourism destination context. Through a Social Influence Theory lens, it explores the ways in which residents and overseas tourists discuss Australia as a destination brand on social media. By analyzing a big dataset of social media user-generated content (UGC), this study sought to identify the key dimensions evident in positively valenced social media UGC, to see whether these dimensions varied between residents and overseas tourists, and to see whether the dimensions reflected OBA. The analyses found online destination brand advocacy (ODBA) had five dimensions: Destination Acknowledgement (hashtags), Destination Insights, Destination Positivity and Experience Sharing, Destination Brand Defence and Positive Virtual Visual Cues. The results have implications for the ways destination management organisations (DMOs) use social media. Suggestions for DMOs about incorporating ODBA in their marketing and branding strategies, are given at the conclusion of this paper. Some theoretical implications, specifically the need to further investigate ODBA, are also outlined. [ABSTRACT FROM AUTHOR]

The coronavirus epidemic, which emerged in Wuhan at the end of 2019, spread worldwide and caused more than 4 million deaths as of 2021. The cruise industry, whose goal is to maintain customer satisfaction at the highest possible level, like all service industries, has passed a difficult test with serious coronavirus disease-2019 (COVID-19) cases that emerged on various ships. The new rules of the COVID-19 pandemic are reflected in the service processes of the ships that started to sail again after a long-term pause in the sector. The main motivation of this study is to determine whether the factors affecting customers' perceived service quality have changed during the pandemic period in the cruise industry, which is one of the sectors where service quality should be maintained high. Therefore, this study aims to determine the factors affecting the perceived service quality of cruise passengers and determine the new factors that occurred during the pandemic. To achieve this goal, the online narratives of 418 passengers cruising in the European Region between September 2020 and September 2021 were analyzed using Leximancer software, and key elements of passengers' perceptions of service quality were determined. As a result of the study, it was found that cabin location, restaurant quality, and COVID-related variables became significant factors affecting the perceived service quality of cruise passengers during the pandemic period. Additionally, disembarkation and embarkation, which were important variables in the pre-COVID period, were reclassified under the COVID category. The study also determined that adherence to COVID-19 measures by cruise companies positively impacted customer satisfaction during this period. [ABSTRACT FROM AUTHOR]

The one-stop platform of stock investment has a positive effect on technological developments in the world of stock investment. That triggers changes in investor behavior in buying stock. This research investigates the influence of the "stream" feature as User Generated Content (UGC) media as well as the relationship between the Fear of Missing Out (FoMO) phenomenon and investor's financial literacy in buying stocks. This research implements partial least squares-structural equation modeling (PLS-SEM) to conduct quantitative research. Sample data collection was collected using non-probability sampling. This research is limited to Indonesian stock investors, using the Stockbit platform for stock investment, and the research was conducted cross-sectionally. This research found that FoMO effects that investors felt can significantly influence purchasing attitudes, subjective norms, and perceived behavioral control. Meanwhile, the quality of information contained in UGC has a significant positive effect on purchase attitudes and financial literacy can reduce the influence of investor FoMO on purchasing intentions. This research contributes to the extended theory of planned behavior in explaining stock investment behavior and enriches understanding of the influence of UGC, FoMO, and financial literacy on investment decisions. This research also contributes to Stockbit management, psychology practitioners, content creators, and financial consultants in the realm of stocks.

Blind quality assessment for user-generated content (UGC) or consumer videos is challenging in computer vision. Two open issues are yet to be addressed: how to effectively extract high-dimensional spatial-temporal features of consumer videos and how to appropriately model the relationship between these features and user perceptions within a unified blind video quality assessment (BVQA). To tackle these issues, we propose a novel BVQA model with spatial-temporal perception and fusion. Firstly, we develop two perception modules to extract the perceptual-distortion-related features separately from the spatial and temporal domains. In particular, the temporal-domain features are obtained with a combination of 3D ConvNet and residual frames for their high efficiencies in capturing the motion-specific temporal features. Secondly, we propose a feature fusion module that adaptively combines spatial-temporal features. Finally, we map the fused features onto perceptual quality. Experimental results demonstrate that our model outperforms other advanced methods in conducting subjective video quality prediction. [ABSTRACT FROM AUTHOR]

Background: Various patient support programs exist to provide successful therapy options for patients. Pharmaceutical companies are increasingly recognizing the importance of actively supporting patients in their long-term treatment. In order to effectively assist patients, it is crucial to understand their current needs by taking a look at the patients' opinions. Objective: This study focuses specifically on chronic myeloid leukemia (CML) and aims to determine if the current patient engagement offerings from pharmaceutical companies adequately address the needs of CML patients. To achieve this, the study uses content generated by CML patients to assess the patient engagement strategies of selected pharmaceutical companies, explore the relevance of medication, their products, and services, and analyze key concerns from the perspective of the patients. Methods: To address the research questions, various methodologies were employed. Initially, desk research was conducted to identify relevant pharmaceutical companies and internet forums related to CML. Subsequently, content generated by patients was acquired and AI-driven techniques such as topic modeling and topic evolution analyses were used to examine this usergenerated content (UGC) within the identified public forums. This involved analyzing topic models and tracking topic changes over time. Results: The desk research revealed that pharmaceutical companies primarily offer information about the disease and available treatment options. The UGC analysis confirmed the significant role played by the industry in supporting CML patients. Key areas of interest for patients include the disease itself, potential treatment methods and associated side effects, dosage of active substances, and the possibility of switching therapies due to treatment failure or resistance. Stem cell transplantation was also discussed. Conclusions: Overall, the pharmaceutical industry adequately addresses the needs of CML patients. However, there is room for improvement in educating patients about treatment options, drugs, and their side effects. Psychological support should not be neglected. Since CML patients frequently engage with clinical trial outcomes, there is potential for increased patient involvement in such trials. Further research in this area is recommended. [ABSTRACT FROM AUTHOR]

The goal of this study was to ascertain the marketplace companies' commitment to implementing SCRM on social media and to identify patterns of engagement, interaction, and communication between Twitter users and the marketplaces Shopee, Tokopedia, and Lazada that emerged on social media at payday sale events. The Social Network Analysis (SNA) approach is being used in this qualitative study. Twitter users in Indonesia are the focus of this study. The users of Tokopedia, Shopee, and Lazada are the research population. Dictionary, Notepad++, Wordij, and Gephi are supporting tools used in this study together with Jupyter Notebook. The Shopee Marketplace is superior and performs better, according to an analysis of network features. According to the analysis, the Shopee marketplace has a broader network. According to this study, many consumers utilize Shopee as their online shopping destination, particularly during payday sale events when each marketplace offers alluring discounts and free delivery.

BackgroundVarious patient support programs exist to provide successful therapy options for patients. Pharmaceutical companies are increasingly recognizing the importance of actively supporting patients in their long-term treatment. In order to effectively assist patients, it is crucial to understand their current needs by taking a look at the patients' opinions.ObjectiveThis study focuses specifically on chronic myeloid leukemia (CML) and aims to determine if the current patient engagement offerings from pharmaceutical companies adequately address the needs of CML patients. To achieve this, the study uses content generated by CML patients to assess the patient engagement strategies of selected pharmaceutical companies, explore the relevance of medication, their products, and services, and analyze key concerns from the perspective of the patients.MethodsTo address the research questions, various methodologies were employed. Initially, desk research was conducted to identify relevant pharmaceutical companies and internet forums related to CML. Subsequently, content generated by patients was acquired and AI-driven techniques such as topic modeling and topic evolution analyses were used to examine this user-generated content (UGC) within the identified public forums. This involved analyzing topic models and tracking topic changes over time.ResultsThe desk research revealed that pharmaceutical companies primarily offer information about the disease and available treatment options. The UGC analysis confirmed the significant role played by the industry in supporting CML patients. Key areas of interest for patients include the disease itself, potential treatment methods and associated side effects, dosage of active substances, and the possibility of switching therapies due to treatment failure or resistance. Stem cell transplantation was also discussed.ConclusionsOverall, the pharmaceutical industry adequately addresses the needs of CML patients. However, there is room for improvement in educating patients about treatment options, drugs, and their side effects. Psychological support should not be neglected. Since CML patients frequently engage with clinical trial outcomes, there is potential for increased patient involvement in such trials. Further research in this area is recommended.

Copyright of Nankai Business Review is the property of Nankai Business Review Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)