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How will disclosing users’ identities affect their content-generation activities? Will this identity-disclosure policy in one section also change users’ behaviors in the other section? We answer these questions by using a natural experiment where a large corporate online community chose to disclose users’ identities in one section (the focal section) but not the other (the neighbor section). Our analyses show that in the focal section, disclosing identity increases social presence and inhibits users’ willingness to generate content, resulting in greater effort spent per content but smaller content volume. Moreover, identity disclosure in the focal section has a strong displacement effect: users generate more pieces of content but decrease their effort per content in the neighbor section, where they remain anonymous. The intensity of these effects depends on users’ pursuit of volume- and effort-based image. For the managers of online communities, disclosing users’ identity information inevitably changes their content-generation activities, and the unintended displacement effect cannot be overlooked. Practitioners can adjust these effects by changing reward systems and how users earn image from content generation. Given that many websites rely on users’ voluntary content generation, the effects of relevant policies should be comprehensively evaluated. Many user-generated content websites are experimenting with disclosing users’ identities to increase accountability for the generated content. However, the effects of identity disclosure on users’ content-generation behaviors are not well examined. In this study, we address this critical issue by using a natural experiment—a large corporate online community chose to disclose users’ identities in one section (the focal section) but not the other (the neighbor section). Our results show that in the focal section, disclosing identity increases social presence and inhibits users’ willingness to generate content, resulting in greater effort spent per content but smaller content volume. Surprisingly, we find that users significantly change their content-generation behaviors in the neighbor section, where users remain anonymous. Specifically, identity disclosure has a strong displacement effect: the low-effort content, which is deterred by identity disclosure in the focal section, will be reallocated to the anonymous neighbor section. Furthermore, taking both sections together, we find that the content volume increases and content effort exerted on each content decreases overall. These findings demonstrate that identity disclosure is a double-edged sword with regard to user content generation. On the one hand, disclosure motivates users’ effort on each content in the focal section. On the other hand, the displacement effect meant that this benefit comes at the cost of reducing users’ effort per content in the neighbor section.

PurposeWhen 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.Design/methodology/approachCelebrating 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.FindingsFollowing 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.Originality/valueThis 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.Peer reviewThe peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0258

Social media platforms have been pivotal in redefining the conduct of contemporary society. Amid the proliferation of a range of new and ubiquitous online platforms, YouTube, a video-based platform, remains a key driver in the democratisation of creative, playful, vernacular, intimate, as well as political expressions. As a critical node of contemporary communication and digital cultures, its steady uptake and appropriation in a social media-savvy nation such as the Philippines requires a critical examination of its role in the continued reconstruction of identities, communities, and broader social institutions. This book closely analyses the diverse content and practices of amateur Filipino YouTubers, exposing and problematising the dynamics of brokering the contested aspirational logics of beauty and selfhood, interracial relationships, world-class labour, and progressive governance in a digital sphere. Ultimately, Philippine Digital Cultures: Brokerage Dynamics on YouTube offers a fresh, compelling, and nuanced account of YouTube as an important site for the mediation of culture, economy, and politics in Philippine postcolonial modernity amid rapid economic globalisation and digitalisation.

The Internet and social media are pervasive and transformative forces in contemporary China. Nearly half of China's 1.3 billion citizens use the Internet, and tens of millions use Sina Weibo, a platform similar to Twitter or Facebook. Recently, Weixin/Wechat has become another major form of social media. While these services have allowed regular people to share information and opinions as never before, they also have changed the ways in which the Chinese authorities communicate with the people they rule. China's party-state now invests heavily in speaking to Chinese citizens through the Internet and social media, as well as controlling the speech that occurs in that space. At the same time, those authorities are wary of the Internet's ability to undermine the ruling party's power, organize dissent, or foment disorder. Nevertheless, policy debates and public discourse in China now regularly occur online, to an extent unimaginable a decade or two ago, profoundly altering the fabric of China's civil society, legal affairs, internal politics, and foreign relations. The Internet, Social Media, and a Changing Chinaexplores the changing relationship between China's cyberspace and its society, politics, legal system, and foreign relations. The chapters focus on three major policy areas-civil society, the roles of law, and the nationalist turn in Chinese foreign policy-and cover topics such as the Internet and authoritarianism, \"uncivil society\" online, empowerment through new media, civic engagement and digital activism, regulating speech in the age of the Internet, how the Internet affects public opinion, legal cases, and foreign policy, and how new media affects the relationship between Beijing and Chinese people abroad. Contributors:Anne S. Y. Cheung, Rogier Creemers, Jacques deLisle, Avery Goldstein, Peter Gries, Min Jiang, Dalei Jie, Ya-Wen Lei, James Reilly, Zengzhi Shi, Derek Steiger, Marina Svensson, Wang Tao, Guobin Yang, Chuanjie Zhang, Daniel Xiaodan Zhou

Prior studies indicated that actively using social network sites (SNSs) is positively associated with well-being by enhancing social support and feelings of connectedness. Conversely, passively using SNSs is negatively associated with well-being by fostering upward social comparison and envy. However, the majority of these studies has focused on Facebook. The present research examined the relationships between well-being—satisfaction with life, negative affect, positive affect—and using actively or passively various SNSs—Facebook, Instagram, Twitter, TikTok—during the COVID-19 pandemic. In addition, two mediators were tested: social support and upward social comparison. One thousand four persons completed an online survey during the quarantine measures; the analyses employed structural equation modeling. Results showed that passive usage of Facebook is negatively related to well-being through upward social comparison, whereas active usage of Instagram is positively related to satisfaction with life and negative affect through social support. Furthermore, active usage of Twitter was positively related to satisfaction with life through social support; while passive usage was negatively related to upward social comparison, which, in turn, was associated with more negative affect. Finally, TikTok use was not associated with well-being. Results are discussed in line with SNSs’ architectures and users’ motivations. Future research is required to go beyond methodological and statistical limitations and allow generalization. This study concludes that SNSs must be differentiated to truly understand how they shape human interactions.

While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online. Recent studies report that cyberbullying constitutes a growing problem among youngsters. Successful prevention depends on the adequate detection of potentially harmful messages and the information overload on the Web requires intelligent systems to identify potential risks automatically. The focus of this paper is on automatic cyberbullying detection in social media text by modelling posts written by bullies, victims, and bystanders of online bullying. We describe the collection and fine-grained annotation of a cyberbullying corpus for English and Dutch and perform a series of binary classification experiments to determine the feasibility of automatic cyberbullying detection. We make use of linear support vector machines exploiting a rich feature set and investigate which information sources contribute the most for the task. Experiments on a hold-out test set reveal promising results for the detection of cyberbullying-related posts. After optimisation of the hyperparameters, the classifier yields an F1 score of 64% and 61% for English and Dutch respectively, and considerably outperforms baseline systems.

User-generated content on social media platforms and product search engines is changing the way consumers shop for goods online. However, current product search engines fail to effectively leverage information created across diverse social media platforms. Moreover, current ranking algorithms in these product search engines tend to induce consumers to focus on one single product characteristic dimension (e.g., price, star rating). This approach largely ignores consumers' multidimensional preferences for products. In this paper, we propose to generate a ranking system that recommends products that provide, on average, the best value for the consumer's money. The key idea is that products that provide a higher surplus should be ranked higher on the screen in response to consumer queries. We use a unique data set of U.S. hotel reservations made over a three-month period through Travelocity, which we supplement with data from various social media sources using techniques from text mining, image classification, social geotagging, human annotations, and geomapping. We propose a random coefficient hybrid structural model, taking into consideration the two sources of consumer heterogeneity the different travel occasions and different hotel characteristics introduce. Based on the estimates from the model, we infer the economic impact of various location and service characteristics of hotels. We then propose a new hotel ranking system based on the average utility gain a consumer receives from staying in a particular hotel. By doing so, we can provide customers with the \"best-value\" hotels early on. Our user studies, using ranking comparisons from several thousand users, validate the superiority of our ranking system relative to existing systems on several travel search engines. On a broader note, this paper illustrates how social media can be mined and incorporated into a demand estimation model in order to generate a new ranking system in product search engines. We thus highlight the tight linkages between user behavior on social media and search engines. Our interdisciplinary approach provides several insights for using machine learning techniques in economics and marketing research.

An in-depth exploration of social media and emergent technology that details the inner workings of modern propaganda   Until recently, propaganda was a top-down, elite-only system of communication control used largely by state actors. Samuel Woolley argues that social media has democratized today's propaganda, allowing nearly anyone to launch a fairly sophisticated, computationally enhanced influence campaign. Woolley shows how social media, with its anonymity and capacity for automation, allows a wide variety of groups to build the illusion of popularity through computational tools (such as bots) and human-driven efforts (such as sockpuppets-real people assuming false identities online-and partisan influencers). They use these technologies and strategies to create a bandwagon effect by bringing the content into parallel discussions with other legitimate users, or to mold discontent for political purposes.   Drawing on eight years of original international ethnographic research among the people who build, combat, and experience these propaganda campaigns, Woolley presents an extensive view of the evolution of computational propaganda, offers a glimpse into the future, and suggests pragmatic responses for policy makers, academics, technologists, and others.