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Today, individuals use social media to express their opinions and feelings, which offers a living laboratory to researchers in various fields, such as management, innovation, technology development, environment and marketing. It is therefore necessary to understand how the language used in user-generated content and the emotions conveyed by the content affect responses from other social media users.

In this study, almost 700,000 posts from Twitter (as well as Facebook, Instagram and forums in the appendix) are used to test a conceptual model grounded in signaling theory to explain how the language of user-generated content on social media influences how other users respond to that communication.

Extending developments in linguistics, this study shows that users react negatively to content that uses self-inclusive language. This study also shows how emotional content characteristics moderate this relationship. The additional information provided indicates that while most of the findings are replicated, some results differ across social media platforms, which deserves users' attention.

This article extends research on Internet behavior and social media use by providing insights into how the relationship between self-inclusive language and emotions affects user responses to user-generated content. Furthermore, this study provides actionable guidance for researchers interested in capturing phenomena through the social media landscape.

Prior research on user-generated content (UGC) contributions has primarily focused on self-centered or other-centered motives, paying limited attention to the concept of enlightened self-interest, in which both motives coexist in a single organism. Additionally, the factors influencing enlightened self-interest and their effects in different circumstances are yet to be explored. Drawing on theoretical lenses rooted in the switching barriers perspective and stimulus–organism–response framework, this study posits that dedication-based switching barriers (community–member relationship quality, member–member relationship quality, and content attractiveness) positively relate to enlightened self-interest, whereas constraint-based switching barriers (switching costs) moderate the relationship between dedication-based switching barriers and enlightened self-interest in social media communities (SMCs). Members' enlightened self-interest in turn influences both the creation and co-creation of UGC.

This study comprised two quantitative studies: an online survey-based study (Study 1) and an online scenario-based experiment (Study 2). Study 1 surveyed 613 respondents, while Study 2 included 749 participants. Both studies employed structural equation modeling and bootstrapping techniques for analysis.

The findings indicate that dedication-based switching barriers positively affect users' enlightened self-interest, which in turn is positively associated with UGC creation and co-creation. Switching costs moderate the relationship between relationship quality (community–member and member–member) and enlightened self-interest.

This study complements the current understanding of how the association between dedication- and constraint-based switching barriers and users' enlightened self-interests influence user-generated contributions.

User-generated content and online reviews are highly relevant in purchase decision in the hospitality sector, including restaurants, but there is a lack of knowledge about the effect of sharing pictures in this context. This study aims to focus on the relevance of user-generated photos in online platforms for restaurants’ selection.

A research was conducted with a sample of 319 residents of Porto region, who had at least one meal in a restaurant over the 30 days before the answer of the survey and had searched online to select the restaurant.

The results show that while doing online research about restaurants, it is important for potential consumers to find pictures of food and physical evidences of restaurants generated by other users. Findings also show that consumers find user-generated photos especially at websites of reviews, although the importance of restaurant owned platforms, such as official social media pages and websites.

The research results appeal restaurant managers to understand the importance of user-generated photos in online platforms by promoting photo sharing in their restaurants with appropriate marketing activities for that purpose.

This paper expands the state-of-the-art about the importance of user-generated content, focusing on the importance of photos from restaurants shared by consumers in online platforms.

用户生成内容和在线评论, 与酒店行业, 包括饭店业中的购买决策是密不可分的。但是在这个研究领域里, 对于分享照片的影响力还尚未可知。本论文旨在研究在线平台中的用户生成照片对于饭店选择的影响。

本论文采用问卷采样形式, 问卷样本为在30天之内通过上网搜索选择饭店并且就餐至少一次的葡萄牙波尔图地区居民, 有效样本数量为319份。

人们在上网搜索饭店时, 找到食物图片和其他用户生成的有关饭店评论对于消费者决策有着至关重要的作用。本论文结果还表明, 尽管饭店运营的在线平台比如官方社交媒体网页和网站等很重要, 但是消费者在决策中最考虑的因素是那些评论型网站, 消费者会更倾向于找到用户生成的图片来帮助他们的消费决策。

本论文结果对于饭店管理者理解在线平台的用户生成图片的重要性有着很大的启示。本论文建议其管理者应该使用适当的营销手段来促使自己饭店的相关照片得到用户的分享。

本论文拓展了用户生成内容的现有认识, 研究了饭店照片被消费者分享到在线平台的重要性。

线上口碑效应 e-WOM、在线平台 、在线评论 、照片分享 、饭店管理 、社交媒体 、用户生成内容

研究论文

One of the major challenges within the airline industry is to keep pace with the changing customer perception toward their service quality. This paper aims to demonstrate how sentiment analysis of user-generated big data can be used to research airline service quality as a more comprehensive alternative to other survey-based models by investigating real-time passenger insights.

The present research uses the case of Indigo airlines by studying passenger's trip advisor reviews regarding the low-cost commercial airline service. The authors analyzed 1,777 passenger reviews, which were classified, to uncover sentiments for five dimensions of airline service quality (AIRQUAL).

The findings of the study demonstrate the need for harnessing the brand-related user-generated content shared on online platforms to identify the critical attributes for airline service quality. Further, through the application of sentiment analysis, the paper provides much-needed clarity in the processing of user-generated content. It illustrates the investigation of passenger interactions as a reflection of their satisfaction, expectation, intention and overall opinion toward the airline service quality.

The analytical framework adopted in the study for examining user-generated content (UGC) can be functional for the marketing managers and equip them for handling large-scale data readily available in action-oriented interactive marketing research.

This paper demonstrates how sentiment analysis of user-generated data can be used to research airline service quality as a more comprehensive alternative to other survey-based models. The study supplements the methodological advances in the field of UGC analysis and adds to the existing knowledge domain.

This study aims to predict popular contributors through text representations of user-generated content in open crowds.

Three text representation approaches – count vector, Tf-Idf vector, word embedding and supervised machine learning techniques – are used to generate popular contributor predictions.

The results of the experiments demonstrate that popular contributor predictions are considered successful. The F1 scores are all higher than the baseline model. Popular contributors in open crowds can be predicted through user-generated content.

This research presents brand new empirical evidence drawn from text representations of user-generated content that reveals why some contributors' ideas are more viral than others in open crowds.

This research suggests that companies can learn from popular contributors in ways that help them improve customer agility and better satisfy customers' needs. In addition to boosting customer engagement and triggering discussion, popular contributors' ideas provide insights into the latest trends and customer preferences. The results of this study will benefit marketing strategy, new product development, customer agility and management of information systems.

The paper provides new empirical evidence for popular contributor prediction in an innovation crowd through text representation approaches.

When a concept is diffusely defined or, as this article argues, “taken for granted”, it becomes very difficult to track such concept on the literature and have some continuity as researchers build on top of previous results. This article proposes a definition for user-generated content, a term that though has lost some saliency, stands in the center or the social media phenomenon, so it should not be disregarded as an object of study.

Celebrating 20 years of the concept, this research performs a multidisciplinary literature review of 61 academic articles on UGC. Through deconstruction of the acronym UGC, it builds on the present converging, conflicting and diverging definitions and/or approaches to UGC on an attempt to consolidate a broader definition that encompasses the complexities of the phenomenon in a context of consolidation of social media, to be applied to social sciences.

Following the present analysis, UGC is defined as any kind of text, data or action performed by online digital systems users, published and disseminated by the same user through independent channels, that incur an expressive or communicative effect either on an individual manner or combined with other contributions from the same or other sources.

This is the first academic effort that aims to create an in-depth dialogue over the different approaches to UGC across disciplines on the social sciences field. It should help reignite interest in the acronym, which got somehow eclipsed by the broader field of social media; whilst without UGC, social media would not exist or would not have the same social impact it does in its current form. Analogously, UGC as a topic of research has been deeply affected by the emergence and consolidation of Social Media. As this debate evolves, this contribution should be helpful as a reference to operationalize UGC on future research.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0258

The purpose of this study is to investigate the mediating effect of perceived destination image attributes on the inter-relationship between online user-generated content’s information qualities (UGC) and tourists behavior by extending the Mehrabian and Russel’s stimulus-organism-response (SOR) model.

Based on the Malaysian tourism setting, a total of 255 valid responses from foreign inbound tourists were collected. Partial-least square-structural equation modeling (PLS-SEM) was used to test study hypotheses.

The PLS-SEM indirect path analysis confirms that cognitive image mediates the relationship between intrinsic information quality and behavioral intentions. Meanwhile, affective image significantly mediates the contextual information quality influence on behavioral intentions. Interestingly, however, this study found affective image mediated oppositely on the relationship between social information quality and behavioral intentions.

The study provides a better understanding of how destination image impacts the way tourists perceive different information qualities on behavioral intentions, which suggests the ongoing complex nature of these human-technology relationships within the tourism realm.

Some consumers are engaged in online curation, a type of user-generated content, in ways that can be impactful for brands. An example of online curation includes organizing themed collections of product images on Pinterest. The purpose of this paper is to present a framework of online consumer curation, introducing this topic to the marketing literature.

Through the analysis of the business and academic literature, as well as a careful study of many examples of online consumer curation, the authors present a framework for understanding online consumer curation.

The actions taken by online consumer curators are similar to those of museum or art gallery curators: acquiring, selecting, organizing and displaying content for an audience. The motivations for consumers to engage in online curation include building/displaying their identities and making social connections with their online audience. One outcome possible for the audience that views the curation is gaining access to carefully selected and recommended content.

As online consumer curation is a new area of research, the authors suggest several marketing- and brand-relevant propositions that can be addressed in future research.

As consumers are frequently using product images and brand symbols in their online curation, it is important for marketing academics and practitioners to understand their actions.

The aim of the paper is to present a thorough introduction to the idea of online consumer curation by outlining relevant examples, providing a framework for understanding this activity and its implications for brand management, and listing ideas for future research.

Algunos consumidores se dedican a la “curación” en línea, un tipo de contenido generado por el usuario (UGC), de manera que pueden ser impactantes para las marcas. Un ejemplo de “curación” en línea incluye la organización de colecciones temáticas de imágenes de productos en Pinterest. El propósito de esta investigación es presentar un marco sobre la “curación” del consumidor en línea, introduciendo este tema en la literatura de marketing.

A través de nuestro análisis de la literatura académica y empresarial, así como del estudio cuidadoso de muchos ejemplos de “curación” de los consumidores en línea, presentamos un marco para comprender la “curación” de los consumidores en línea.

Las acciones realizadas por los “curadores” son similares a las de sus homólogos en museos o galerías de arte: adquirir, seleccionar, organizar y mostrar contenido para una audiencia. Las motivaciones para que los consumidores participen en la “curación” en línea incluyen construir/mostrar sus identidades y establecer conexiones sociales con su audiencia en línea. Un resultado posible para la audiencia que ve la “curación” es obtener acceso a contenido cuidadosamente seleccionado y recomendado.

Como la “curación” en línea es una nueva área de investigación, sugerimos varias propuestas relevantes de marketing y marca que pueden abordarse en futuras investigaciones.

Como los consumidores utilizan con frecuencia imágenes de productos y símbolos de marca en su “curación” en línea, es importante que los académicos y profesionales de marketing comprendan sus acciones.

La investigación presenta una introducción exhaustiva a la idea de la “curación” del consumidor en línea describiendo ejemplos relevantes, proporcionando un marco para comprender esta actividad y sus implicaciones para la gestión de la marca, y enumerando ideas para futuras investigaciones.

“Curación” del consumidor en línea, Comportamiento del consumidor en línea, Contenido generado por el usuario, Gestión de marca

This study aims to examine the effects of user-generated photos (UGPs) and review valence (RV) on hotel guests’ perceived service quality, perceived price, perceived overall image and booking intention.

An online experiment where respondents were randomly assigned to one of the six conditions in a 2 (UGPs: provided vs not provided) × 3 (RV: positive vs neutral vs negative) between-subjects factorial design was used. The data of the study was collected from the travelers who used an online hotel review site to book a hotel at least once in the past 12 months. An independent sample t-test and analysis of variance were used to analyze the data of this study.

The results indicated that UGPs and RV significantly influenced hotel guests’ service quality, price, overall image perceptions and booking intention. The interaction effects of UGPs and RV indicated that positive online hotel reviews with UGPs had higher impact on hotel guests’ service quality, price, overall image perceptions and booking intention than neutral and negative online hotel reviews with UGPs.

The understanding of the effects of UGPs and RV on guests’ price, service quality, overall image perception and booking intention can help hotel managers and social media website designers to better promote the hotel and provide efficient online hotel booking environment.

This study builds the relationships between UGPs and RV and hotel guests’ perceived price, perceived service quality, perceived overall image and booking intention, which are crucial factors regarding online hotel marketing.

评估用户生成的照片对酒店客人价格、服务质量、整体形象感知和预订意愿的影响

本研究旨在探索用户生成的照片 (UGP) 和评论效价 (RV) 对酒店客人感知服务质量、感知价格、感知整体形象和预订意图的影响。

本研究采用受试者间因子设计进行了一项在线实验, 其中受访者被随机分配到 2（UGP：提供与未提供）× 3（RV：阳性 vs. 中性 vs. 阴性）中的六个条件之一。该研究的数据是从过去 12 个月内使用在线酒店评论网站至少预订一次酒店的旅行者那里收集的。使用独立样本 t 检验和方差分析 (ANOVA) 来分析研究数据。

结果表明, UGP 和 RV 显着影响酒店客人的服务质量、价格、整体形象认知和预订意愿。 UGP 和 RV 的交互作用表明, 与 UGP 的中性和负面在线酒店评论相比, 带有 UGP 的正面在线酒店评论对酒店客人的服务质量、价格、整体形象感知和预订意愿的影响更大。

了解UGPs和RV对客人价格、服 务质量、整体形象感知和预订意愿的影响, 可以帮助酒店管理者和社交媒体网站设计师更好地宣传酒店, 提供高效的在线酒店预订环境。

本研究建立了UGP和RV与酒店客人感知价格、感知服务质量、感知整体形象和预订意愿之间的关系, 这些是在线酒店营销的关键因素。

In continuation of Soylemez (2021), this study utilized equity theory and investigated how personal factors (personality traits) and community factors (ownership) influence relative generation of brand-oriented and community-oriented content.

A study of A/B testing was conducted with 104 online brand community (OBC) participants who had been active in an OBC in the last 30 days.

Members with a high level of conscientiousness, extroversion and neuroticism generate more brand-oriented content than community-oriented content. Openness to experience, agreeableness and community ownership have been found to have no significant effects.

This research helps marketing practitioners on whether they should build their own online brand communities. The study also suggests that brands should adjust their community strategies based on the personality traits of community members and expectations from the community.

This is the first study that investigates how personality traits and community ownership influence the generation of different types of user-generated content (UGC).