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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]

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]

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]

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]

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]

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.

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.

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.)

This study aims to determine the mediating role of brand trust in the influence of user generated content and firm generated content on smartphone X brand loyalty in Indonesia. In previous studies, there were different results related to the influence of user generated content and firm generated content, so this study was conducted to review these two variables in influencing brand loyalty to the X smartphone brand. Data were collected cross-sectionally using a digitally distributed questionnaire to 175 respondents who are customers of smartphone brand X. Sample selection by purposive sampling. Furthermore, the data was analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) through the SmartPLS software. This study shows that user generated content (UGC) and firm generated content (FGC) have a positive and significant effect on brand trust and brand loyalty. However, brand trust did not significantly mediate the effect of UGC on brand loyalty, but was able to significantly mediate the effect of FGC on brand loyalty. These results imply that when customers trust a smartphone brand X, this trust is based on promotional content created by smartphone companies which can then increase customer loyalty to that brand. Abstrak dalam Bahasa Indonesia. Penelitian ini bertujuan untuk mengetahui peran mediasi kepercayaan merek pada pengaruh konten yang dibuat oleh pengguna dan konten yang dibuat oleh perusahaan terhadap loyalitas merek smartphone X di Indonesia. Dalam penelitian sebelumnya menunjukan terdapat hasil yang berbeda terkait pengaruh konten buatan pengguna dan konten buatan perusahaan, sehingga penelitian ini dilakukan untuk meninjau kedua variabel tersebut dalam mempengaruhi loyalitas merek pada merek smartphone X. Data dikumpulkan secara cross sectional dengan menggunakan kuesioner yang disebarkan secara digital kepada 175 responden yang merupakan pelanggan merek smartphone X. Pemilihan sampel dengan purposive sampling. Selanjutnya, data tersebut dianalisis dengan menggunakan Partial Least Squares-Structural Equation Modeling (PLS-SEM) melalui software SmartPLS. Penelitian ini menunjukkan bahwa konten buatan pengguna (UGC) dan konten buatan perusahaan (FGC) berpengaruh positif dan signifikan terhadap kepercayaan merek dan loyalitas merek. Namun, kepercayaan merek tidak memediasi secara signifikan pengaruh UGC terhadap loyalitas merek, tetapi mampu memediasi secara signifikan pengaruh FGC terhadap loyalitas merek. Hasil tersebut mengimplikasikan bahwa ketika pelanggan percaya dengan suatu merek smartphone X, kepercayaan tersebut didasari oleh konten promosi yang dibuat oleh perusahaan smartphone yang kemudian dapat meningkatkan kesetiaan pelanggan terhadap merek tersebut.

Copyright of Jurnal Locus: Penelitian dan Pengabdian is the property of Riviera Publishing 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.)

In recent years, the concept of brands releated user generated concent has attracted the attention of both practitioners and the literature. Brands want to encourage the consumers to producer positive content about themselves. The aim of this study is put forth to effect of user motivations on user generated content behaviour. In other words, an answer will be sought to the question of which content Z generation produces for brands with which motivations. A conceptual model has been proposed and has used structural equalty modeling for testing hypotheses of study. In conclusion ego affects active user generated content behaviour and there is no relationship between ego and passive user generated content behaviour. While there is no relationship between co-creation and incentive and active user generated content behaviour, co-ceration and incentive affects passive user generated content behaviour. Finally, brand loyalty affects positively both active and passive user generated content. This study is important because it contributes to the conceptualization of the subject. It also contributes to the literature by developing a Turkish scale about the motivations and behaviors of brands related user generated content. [ABSTRACT FROM AUTHOR]

Online communities have brought major changes in the behaviour of consumers in the travel and tourism industry. Travellers frequently rely on the User General Content (UGC) to make their travel-related decisions. Avid travellers join travel communities and actively look for unbiased information, and share their own experiences. This paper explores the predictors of consumer attitude and intention to follow UGC posted on online travel communities. Further, this study attempts to analyze the influence of Customer Value Creation (CVC) on attitude and traveller's intention to adopt UGC posted on online travel communities. Data collected from 246 members of online travel communities were analyzed using Structural Equation Modelling. Empirical results show that CVC has a significant direct and positive impact on travel information adoption intention and indirect influence through attitude. This study is among the few on the impact of CVC on attitude towards UGC posted on an online travel community and advances the literature on the subject by explaining the relative impact of CVC on attitude from a different theoretical perspective. [ABSTRACT FROM AUTHOR]

The world of Genshin Impact, an open-world action role-playing game, has gained immense popularity among players since its release in 2020. Along with the game's updates, the fan fiction works have been growing exponentially on various platforms. In this article, we explore the correlation between the quality of the updates and the number of created fan fiction works. Our hypothesis suggests that when the update is filled with interesting characters, in-game mechanics and events, players become fully immersed in the game world and do not feel the need to create new fan content. Conversely, when the update is unsatisfactory, players attempt to fulfill their desires by creating new fan fiction works. To prove this hypothesis, we conducted a study of the updates and the corresponding fan fiction works. Our findings suggest that there is a significant correlation between the quality of the updates and the number of fan fiction works created. The study also highlights the significance of fan fiction in creating a community around a game and shows how it can reflect players' perceptions of the game's updates. Overall, our article sheds light on the relationship between fan fiction writers and ingame updates, and its implications both for the gaming and literary industry. This study and its results can also be used as a case study in media literacy courses and or lessons. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Beijing University of Civil Engineering & Architecture is the property of Journal of Beijing University of Civil Engineering & Architecture 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.)