In online communities, such as Twitter, Facebook, or Reddit, millions of pieces of contents are generated by users every day, and these user-generated contents show a great variety of topics discussed that make the online community vivid and attractive. However, the reasons why UGCs show great variety and how a firm can influence this variety was unknown, which had been an obstacle to understanding and managing UGCs’ variety. This study fills these two gaps based on variety-seeking theory (...) and topic modeling, which is a technique in machine learning. We extract, quantitatively, the topic of the UGCs using topic modeling and divide UGCs into two types: single topic and multiple topics. The user’s tendency to choose the type of UGC is used to measure variety-seeking behavior. We found that users have an intrinsic preference for variety when producing UGCs; the more single topic UGCs were produced in the past, the higher the probability of producing multiple topics UGC and the lower the probability of producing single topic UGC would be in the next, and vice versa. Furthermore, we discussed the effect of language/linguistic style matching between firm feedbacks and UGCs on users’ variety-seeking tendencies in UGCs’ production. This study makes three contributions: broadening variety-seeking theory to new behavior, that is content production behavior, and the results demonstrated that people would show a variety-seeking behavior in producing UGCs. a new feasible method to measure the variety of UGCs by using topic modeling to extract the topics of UGCs and then measure the variety-seeking behavior in producing UGCs by analyzing the choice between single topic and multiple topics. guidance for the firm to alter LSM of feedbacks to influence the variety of UGCs. (shrink)

This case study examines how journalists at Britain's Guardian newspaper and affiliated Web site are assessing and incorporating user-generated content in their perceptions and practices. A framework of existentialism helps highlight constructs and professional norms of interest. It is one of the first data-driven studies to explore how journalists are negotiating personal and social ethics within a digital network.

Social-media platforms have become a global phenomenon of communication, where users publish content in text, images, video, audio or a combination of them to convey opinions, report facts that are happening or show current situations of interest. Smart-city applications can benefit from social media and digital participatory platforms when citizens become active social sensors of the problems that occur in their communities. Indeed, systems that analyse and interpret user-generated content can extract actionable information from the digital (...) world to improve citizens’ quality of life. This article aims to model the knowledge required for automatic problem detection to reproduce citizens’ awareness of problems from the analysis of text-based user-generated content items. Therefore, this research focuses on two primary goals. On the one hand, we present the underpinnings of the ontological model that categorises the types of problems affecting citizens’ quality of life in society. In this regard, this study contributes significantly to developing an ontology based on the social-sensing paradigm to support the advance of smart societies. On the other hand, we describe the architecture of the text-processing module that relies on such an ontology to perform problem detection, which involves the tasks of topic categorisation and keyword recognition. (shrink)

In today’s social online world there is a variety of interaction and participatory possibilities which enable web users to actively produce content themselves. This user-generated content is omnipresent in the web and there is growing evidence that it is used to select or evaluate professionally created online information. The present study investigated how this surrounding content affects online advertising by drawing from social influence theory. Specifically, it was assumed that web users sharing an interpersonal relationship (...) and/or a group membership with authors of user-generated content which appears next to advertising on the web page are more strongly influenced in their response to the advertising than unrelated users. These assumptions were tested in a 2 × 2 between-subject experiment with 118 students who were exposed to four different Facebook profiles that differed in terms of interpersonal connection to the source and collective connection to the source. The results show a significant impact in the case of collective influence, but not in the case of interpersonal influence. The underlying mechanisms of this effect and implications of the results for online advertising are discussed. (shrink)

Social experimental research commonly employs media to elicit responses from research subjects. This use of media is broadly protected under fair use exemptions to copyright, and creators of content used in experiments are generally not afforded any formal consideration or protections in existing research ethics frameworks. Online social networking sites are an emerging and important setting for social experiments, and in this context the material used to elicit responses is often content produced by other users. This article argues (...) that users may have a reasonable interest in controlling the use of their content in experiments conducted in online social networks. Matters of risk and autonomy in research ethics are explored by analogy to active debates in law over adhesion contracts, moral rights, and the right to be forgotten. The article concludes by considering practical difficulties in identifying and protecting the interests of creators. (shrink)

Human creativity generates novel ideas to solve real-world problems. This thereby grants us the power to transform the surrounding world and extend our human attributes beyond what is currently possible. Creative ideas are not just new and unexpected, but are also successful in providing solutions that are useful, efficient and valuable. Thus, creativity optimizes the use of available resources and increases wealth. The origin of human creativity, however, is poorly understood, and semantic measures that could predict the success of (...) class='Hi'>generated ideas are currently unknown. Here, we analyze a dataset of design problem-solving conversations in real-world settings by using 49 semantic measures based on WordNet 3.1 and demonstrate that a divergence of semantic similarity, an increased information content, and a decreased polysemy predict the success of generated ideas. The first feedback from clients also enhances information content and leads to a divergence of successful ideas in creative problem solving. These results advance cognitive science by identifying real-world processes in human problem solving that are relevant to the success of produced solutions and provide tools for real-time monitoring of problem solving, student training and skill acquisition. A selected subset of information content (IC Sánchez–Batet) and semantic similarity (Lin/Sánchez–Batet) measures, which are both statistically powerful and computationally fast, could support the development of technologies for computer-assisted enhancements of human creativity or for the implementation of creativity in machines endowed with general artificial intelligence. (shrink)

When people engage in conversation, they tailor their utterances to their conversational partners, whether these partners are other humans or computational systems. This tailoring, or adaptation to the partner takes place in all facets of human language use, and is based on a mental model or a user model of the conversational partner. Such adaptation has been shown to improve listeners' comprehension, their satisfaction with an interactive system, the efficiency with which they execute conversational tasks, and the likelihood of (...) achieving higher level goals such as changing the listener's beliefs and attitudes. We focus on one aspect of adaptation, namely the tailoring of the content of dialogue system utterances for the higher level processes of persuasion, argumentation and advice-giving. Our hypothesis is that algorithms that adapt content for these processes, according to a user model, will improve the usability, efficiency, and effectiveness of dialogue systems. We describe a multimodal dialogue system and algorithms for adaptive content selection based on multi-attribute decision theory. We demonstrate experimentally the improved efficacy of system responses through the use of user models to both tailor the content of system utterances and to manipulate their conciseness. (shrink)

When people engage in conversation, they tailor their utterances to their conversational partners, whether these partners are other humans or computational systems. This tailoring, or adaptation to the partner takes place in all facets of human language use, and is based on a mental model or a user model of the conversational partner. Such adaptation has been shown to improve listeners' comprehension, their satisfaction with an interactive system, the efficiency with which they execute conversational tasks, and the likelihood of (...) achieving higher level goals such as changing the listener's beliefs and attitudes. We focus on one aspect of adaptation, namely the tailoring of the content of dialogue system utterances for the higher level processes of persuasion, argumentation and advice‐giving. Our hypothesis is that algorithms that adapt content for these processes, according to a user model, will improve the usability, efficiency, and effectiveness of dialogue systems. We describe a multimodal dialogue system and algorithms for adaptive content selection based on multi‐attribute decision theory. We demonstrate experimentally the improved efficacy of system responses through the use of user models to both tailor the content of system utterances and to manipulate their conciseness. (shrink)

As government pressure on major technology companies builds, both firms and legislators are searching for technical solutions to difficult platform governance puzzles such as hate speech and misinformation. Automated hash-matching and predictive machine learning tools – what we define here as algorithmic moderation systems – are increasingly being deployed to conduct content moderation at scale by major platforms for user-generated content such as Facebook, YouTube and Twitter. This article provides an accessible technical primer on how algorithmic (...) moderation works; examines some of the existing automated tools used by major platforms to handle copyright infringement, terrorism and toxic speech; and identifies key political and ethical issues for these systems as the reliance on them grows. Recent events suggest that algorithmic moderation has become necessary to manage growing public expectations for increased platform responsibility, safety and security on the global stage; however, as we demonstrate, these systems remain opaque, unaccountable and poorly understood. Despite the potential promise of algorithms or ‘AI’, we show that even ‘well optimized’ moderation systems could exacerbate, rather than relieve, many existing problems with content policy as enacted by platforms for three main reasons: automated moderation threatens to further increase opacity, making a famously non-transparent set of practices even more difficult to understand or audit, further complicate outstanding issues of fairness and justice in large-scale sociotechnical systems and re-obscure the fundamentally political nature of speech decisions being executed at scale. (shrink)

The phenomenon of missed interactions between online users is a specific issue occurring when users of different language games interact on social media platforms. We use the lens of institutional theory to analyze this phenomenon and argue that current online institutions will necessarily fail to regulate user interactions in a way that creates common meanings because online institutions are not set up to deal with the multiplicity of language games and forms of life co-existing in the online social space. (...) We argue for the need to enable and foster grassroots online institutions that can stabilize the norms of interaction by redesigning algorithms and user interfaces. Such online grassroots institutions would facilitate user orientation at three distinct levels: informational, normative, and semantic-pragmatic. We propose user orientation as a principle that would facilitate the formation of institutions aiming to regulate information exchanges between users inhabiting various forms of life. This principle of user orientation should guide design decisions, while designer teams would need to become aware of the institutional power unleashed when they set up interfaces and algorithms for user-generated content. (shrink)

In communities of user-generated content, systems for the management of content and/or their contributors are usually accepted without much protest. Not so, however, in the case of Wikipedia, in which the proposal to introduce a system of review for new edits (in order to counter vandalism) led to heated discussions. This debate is analysed, and arguments of both supporters and opponents (of English, German and French tongue) are extracted from Wikipedian archives. In order to better understand (...) this division of the minds, an analogy is drawn with theories of bureaucracy as developed for real-life organizations. From these it transpires that bureaucratic rules may be perceived as springing from either a control logic or an enabling logic. In Wikipedia, then, both perceptions were at work, depending on the underlying views of participants. Wikipedians either rejected the proposed scheme (because it is antithetical to their conception of Wikipedia as a community) or endorsed it (because it is consonant with their conception of Wikipedia as an organization with clearly defined boundaries). Are other open-content communities susceptible to the same kind of ‘essential contestation’? (shrink)

Many virtual communities that rely on user-generated content (such as social news sites, citizen journals, and encyclopedias in particular) offer unrestricted and immediate ‘write access’ to every contributor. It is argued that these communities do not just assume that the trust granted by that policy is well-placed; they have developed extensive mechanisms that underpin the trust involved (‘backgrounding’). These target contributors (stipulating legal terms of use and developing etiquette, both underscored by sanctions) as well as the contents (...) contributed by them (patrolling for illegal and/or vandalist content, variously performed by humans and bots; voting schemes). Backgrounding trust is argued to be important since it facilitates the avoidance of bureaucratic measures that may easily cause unrest among community members and chase them away. (shrink)

Directive 95/46/EC and implementing legislation define the respective obligations and liabilities of the different actors that may be involved in a personal data processing operation. There are certain exceptions to the scope of these regulations, among which processing which is carried out by natural persons in the course of activities that may be considered ‘purely personal’. The purpose of this article is to investigate the liability of users of social network sites under data protection and to assess the extent to (...) which the current data protection framework can sufficiently accommodate the new realities of web 2.0 and social networking applications. (shrink)

Contemporary policy debates about managing the enormous volume of online content have taken a renewed focus on upload filtering, automated detection of potentially illegal content, and other “proactive measures”. Often, policymakers and tech industry players invoke artificial intelligence as the solution to complex challenges around online content, promising that AI is a scant few years away from resolving everything from hate speech to harassment to the spread of terrorist propaganda. Missing from these promises, however, is an acknowledgement (...) that proactive identification and automated removal of user-generated content raises problems beyond issues of “accuracy” and overbreadth--problems that will not be solved with more sophisticated AI. In this commentary, I discuss how the technical realities of content filtering stack up against the protections for freedom of expression in international human rights law. As policymakers and companies around the world turn to AI for communications governance, it is crucial that we recall why legal protections for speech have included presumptions against prior censorship, and consider carefully how proactive content moderation will fundamentally re-shape the relationship between rules, people, and their speech. (shrink)

Linden Lab studies massive online game "Second Life" unexpectedly gained worldwide fame after a few years after release. To the surprise of many game has met with great interest, despite the lack of promotional campaigns. It can be assumed that the reason why "second life" reached a wider audience was a special type of offered entertainment. Network game proved to be no longer a game that was known so far, but an example of a mass media, whose central element is (...) a dynamic virtual world which is an extension of our "first" reality. "Second Life" has the potential, which is challenging the widely shared rules could shake the foundations of the social world. This program is currently the most advanced example of a virtual economy. Unlike many other massive online games and their predecessors, this game is entirely based on the principles of virtual property ownership, as well as rules of conduct virtual business and service, and finally also the consumption of goods. Users of the game, just like the person providing the data in the framework of social networking sites maintained in the mainstream of Web 2.0, user-generated content constituting the virtual world, which can trade content with others linden virtual dolars that can be exchanged to real U.S. dollars. The increase in popularity of "Second Life" brings to mind the vision of the possibility of creating a better place to live for many people. Closer analysis of this phenomenon does not allow for such statements. In the following instances will be presented: information about the growth of the global market for online games and its consequences, the distinguishing features of "Second Life" from traditional online games, virtual elements of the impact of economics on social life, the concept of entertainment as a job stream properties Games 2.0 and contentious issues, which produces "second life". ** Masowa gra on-line "Second Life" studia Linden Lab nieoczekiwanie zdobyła sławȩ na całym świecie po kilku latach od premiery. Ku zaskoczeniu wielu tytuł spotkał siȩ z ogromnym zainteresowaniem mimo braku akcji promocyjnych. Można przypuszczać, że powodem dla którego "drugie życie" dotarło do szerszego grona odbiorców był szczególny typ zaoferowanej formy rozrywki. Sieciowa gra okazała siȩ nie być już gr¸a} jak¸a} znano do tej pory, lecz przykładem środka masowego przekazu, którego centralnym elementem jest dynamiczny wirtualny świat stanowi¸a}cy przedłużenie naszej, "pierwszej", rzeczywistości. "Second Life" kryje w sobie potencjał, który podważaj¸a}c podzielane powszechnie reguły może wstrz¸a}sn¸a}ć posadami świata społecznego. Program ten jest obecnie najbardziej zaawansowanym przykładem wirtualnej gospodarki. W odróżnieniu od wielu innych masowych gier on-line i ich poprzedniczek pozycja ta w całości opiera siȩ na zasadach posiadania wirtualnej własności, jak też regułach prowadzenia wirtualnej działalności gospodarczej i usługowej, i wreszcie takiej też konsumpcji dóbr. Użytkownicy gry, podobnie jak osoby udostȩpniaj¸a}ce dane w ramach internetowych serwisów społecznościowych utrzymanych w nurcie Web 2.0, generuj¸a} treści tworz¸a}ce wirtualny świat, treści którymi mog¸a} handlować z innymi pobieraj¸a}c za nie opłaty w wirtualnych dolarach lindeńskich wymiennych na realne dolary amerykańskie. Wzrost popularności "Second Life" przywodzi na myśl wizjȩ możliwości stworzenia lepszego miejsca do życia dla wielu ludzi. Bliższa analiza tego zjawiska nie pozwala już na takie stwierdzenia. W dalszej czȩści wyst¸apienia przedstawione zostan¸a: informacje o wzroście globalnego rynku gier on-line i jego konsekwencjach, cechy odróżniaj¸ace "Second Life" od tradycyjnych gier sieciowych, elementy wpływu wirtualnej gospodarki na życie społeczne, pojȩcie rozrywki jako pracy, właściwości nurtu Games 2.0 oraz sporne kwestie, jakie wywołuje "drugie życie". (shrink)

Increase in popularity of games like "Second Life" has contributed not only to significant changes in the development of the electronic entertainment industry. Promoting Games 2.0, the new trend of video game production that are assumed to be the virtual worlds that contain user-generated content makes both measured with a specific technological innovation, as well as a serious change in the organization of socio-cultural heritage. The article presents problems of the existing difficulties of terminology, the implications of (...) the availability of Games 2.0 for social life, the concept of leisure as work in the new economy and creative non-material and the characteristics of "Generation C". Work stresses the need for discussion on trends in the development of video games - defined as a choice between the projects’ of "socio-cultural ideology of perpetual motion" and "utopia of universal creativity". These approaches allow to identify the methodological basis for analysis of relations between the operators and users of Games 2.0, taking into account the wider social environment. ** Wzrost popularności gier typu „Second Life” przyczynił siȩ nie tylko do znacznych przemian w rozwoju branży rozrywki elektronicznej. Upowszechnianie Games 2.0, nowego nurtu produkcji gier wideo które z założenia maj¸a} stanowić wirtualne światy zawieraj¸a}ce treści tworzone przez użytkowników sprawia, że mierzymy siȩ zarówno z określon¸a} innowacj¸a} technologiczn¸a}, jak też z poważn¸a} zmian¸a} organizacji życia społeczno-kulturowego. Artykuł przedstawia problematykȩ istniej¸acych trudności terminologicznych, konsekwencje dostȩpności Games 2.0 dla życia społecznego, pojȩcie rozrywki jako pracy w nowej gospodarce niematerialnej i twórczej oraz charakterystykȩ „generacji C”. Praca podkreśla potrzebȩ dyskusji nad kierunkami rozwoju gier wideo - określanymi jako wybór miȩdzy projektami „ideologii społeczno-kulturowego perpetuum mobile” i „utopii powszechnej twórczości”. Podejścia te pozwalaj¸a na wskazanie podstaw metodologicznych do prowadzenia analiz relacji miȩdzy operatorami, a użytkownikami Games 2.0 przy uwzglȩdnieniu szerszego otoczenia społecznego. (shrink)

With the development of network technology, many online educational resource platforms have emerged, and the number of resources on these platforms is increasing dramatically. Compared with the traditional resources, the interactive educational resources have hidden interactive information and dynamic content. Only when the users perform interactive operations correctly can they acquire the knowledge conveyed by the resources, which makes it a challenge to help the users understand the general content of resources and find the resources that they are (...) interested in. Therefore, in this paper, we propose a method for generating picture previews of IERs. Firstly, we analyze the file that stores interactive resource information, obtain the interactive elements’ information, extract the dependencies, and generate an operation sequence. Secondly, we execute the operation sequence using an automated software tool to mimic the interaction process between the user and the resource and save the screenshots in the process to generate a picture preview of an IER. We apply this method to a dynamic geometry platform, NetPad, and conduct experiments. Experimental results demonstrate that the method can effectively extract interactive semantic information and simulate the interactive process, and the generated picture previews are of great help to the users to understand the content of IERs. (shrink)

Many frameworks exist that explain how people interact with avatars. Our core argument is that the primary theoretical mechanisms of a user-avatar bond rest with the way people engage avatars and, thereby, the broader digital environment. To understand and predict such engagement, we identify a person’s skill in handling/engaging the avatar in the digital environment as an ordering parameter. Accordingly, we define skill as a person’s ability to enact their agency successfully to achieve desired states. To explain how skill (...) orders experience, we ground our theorizing in ecological perception and systems theory. In our explication, we describe how stable action coupling enables a state of embeddedness in the digital environment. Then, we explain how embeddedness promotes motivational attunement and what the digital environment affords to users at different levels of skill. Throughout, we consider how our theoretical scaffolding generates tractable contentions regarding how skill influences UABs. (shrink)

Large amounts of personal data are generated through young people’s engagements with mobile media, with these data increasingly used by advertisers, content developers and other third parties to profile, predict and position individuals. This has prompted growing concerns over the ability of mobile media users to develop informed stances towards how and why their data is being used, i.e. to build ‘conscious’ and/or ‘resistant’ forms of ‘data agency’. This paper explores ways of developing the critical consciousness and resistant (...) practices of young mobile media users towards personal data. Drawing on research with 27 young people, the paper describes efforts to make representations of third party use of personal data openly available as a basis from which to develop data-savvy tactics and strategies. The results of these interventions – while only partially successful – offer valuable insights into the technical, social and cultural issues that shape young people’s engagement with personal data. The paper concludes by considering how concerns over data agency might be better aligned with the realities of young people’s mobile media use. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 10.4 (2003) 373-378 [Access article in PDF] The Forgotten Self:Training Mental Health and Social Care Workers to Work With Service Users Kim Woodbridge Keywords self, workers perspective, them and us, win-win situation The three main papers and the case studies presented in this issue of Philosophy, Psychiatry, & Psychology all focus on the service user perspective in relation to the self as illustrated (...) by different aspects of philosophy. This is also in the context of the service user looking for help during a time when they are experiencing levels of distress and difficulty.Important as this is, evident by the substantial clinical and philosophical literature in this area, what has been overlooked is the perspective of the mental health and social care worker responsible for the care of individuals whose sense of self is disturbed. The significance of this omission has been brought home to me through my experiences in running training workshops for workers working with service users with a diagnosis of personality disorder. (From here on, in this paper, the terms worker and trainee are used interchangeably to refer to the mental health and social care worker).During these workshops challenges to the worker's sense of self have been revealed emotionally ("this doesn't feel like me"), ideologically ("I am not a bad person"), and/or practically ("I don't usually behave like this") when discussing their work with service users. This paper draws from the workshop experiences to explore and consider the workers perspective in relation to the self in more detail.There follows a descriptive account of three workshop sessions which include the trainees responses. With each activity the responses are considered within the context of the self, particularly from the worker's perspective. In the conclusion the argument is made, as evidenced by these illustrations, for the importance of including the workers' perspective when attempting to understand the self. The Trainees and Service Users Workers from various professional and nonprofessional backgrounds attend the workshops. They include psychiatrists, nurses, social workers, support workers, and occupational therapists who work in both in-patient and community settings. They usually have several years of clinical experience working with people with a [End Page 373] diagnosis of personality disorder, but rarely have they had any formal education or training in the area. Discussing their experiences of working with this service user group generates strong and highly emotionally charged personal responses during training.It is their experiences of the relationships with service users whose sense of self is absent, inconsistent, or unstable, that make a substantial contribution to the content of the workshops.Often service users are struggling with fragmented, distorted, or threatening perceptions of the world, themselves, and others. The worker, while embedded within their own sense of self, is engaged in a relationship with the service user. The issues that arise as a part of this relationship can be challenging and distressing for the workers. There are two main areas:The impact the service user's chaotic, fragmented, and unstable sense of self has on the worker's own sense of self.The response of the workers when their sense of self is challenged, and the impact that response has on the service user. These can be seen in more detail in the examples taken from the training sessions presented later in this paper. The Training Sessions The training sessions are either run alone or form part of a 1- or 2-day workshop. As mentioned, the groups are composed of a variety of professionally and nonprofessionally qualified staff. The experiences they share mainly relate to people with a diagnosis of Borderline Personality Disorder, although other subcategories are mentioned occasionally. Information regarding these and other related sessions can be found in two recent publications: Making positive connections (Duff, Meredith, & Woodbridge,2003) and "Whose good practice?" (Woodbridge & Fulford, 2003). The First Activity: Revealing Internal Models Given the lack of available evidence, even the best-informed trainees are likely to have to fill in the knowledge gaps with their own interpretations of... (shrink)

Email archives are important historical resources, but access to such data poses a unique archival challenge and many born-digital collections remain dark, while questions of how they should be effectively made available remain. This paper contributes to the growing interest in preserving access to email by addressing the needs of users, in readiness for when such collections become more widely available. We argue that for the content of email to be meaningfully accessed, the context of email must form part (...) of this access. In exploring this idea, we focus on discovery within large, multi-custodian archives of organisational email, where emails’ network features are particularly apparent. We introduce our prototype search tool, which uses AI-based methods to support user-driven exploration of email. Specifically, we integrate two distinct AI models that generate systematically different types of results, one based upon simple, phrase-matching and the other upon more complex, BERT embeddings. Together, these provide a new pathway to contextual discovery that accounts for the diversity of future archival users, their interests and level of experience. (shrink)

While some scholars have addressed the common cultural tropes about trans people, the way media might sometimes legitimate violence against trans people, and even take part in forms of violence, has not been analysed. This is what this article sets out to do, through an examination of how a verbal and physical attack against black trans women, videotaped and uploaded on a platform for user-generated entertainment, was framed in a way which repeated the symbolic violence already at play (...) in the physical encounter. The article addresses the way this depiction of real violence, framed as entertainment, and coupled with identity invalidation both legitimizes physical violence and delegitimizes black trans feminine people as victims of violence. (shrink)

In this work, we propose a method to transform a speaker’s speech information into a target character’s talking video; the method could make the mouth shape synchronization, expression, and body posture more realistic in the synthesized speaker video. This is a challenging task because changes of mouth shape and posture are coupled with audio semantic information. The model training is difficult to converge, and the model effect is unstable in complex scenes. Existing speech-driven speaker methods cannot solve this problem well. (...) The method proposed in this paper first generates the sequence of key points of the speaker’s face and body postures from the audio signal in real time and then visualizes these key points as a series of two-dimensional skeleton images. Subsequently, we generate the final real speaker video through the video generation network. We take a random sampling of audio clips, encode audio contents and temporal correlations using a more effective network structure, and optimize and iterate network outputs using differential loss and attitude perception loss, so as to obtain a smoother pose key-point sequence and better performance. In addition, by inserting a specified action frame into the synthesized human pose sequence window, action poses of the synthesized speaker are enriched, making the synthesis effect more realistic and natural. Then, the final speaker video is generated by the obtained gesture key points through the video generation network. In order to generate realistic and high-resolution pose detail videos, we insert a local attention mechanism into the key point network of the generated pose sequence and give higher attention to the local details of the characters through spatial weight masks. In order to verify the effectiveness of the proposed method, we used the objective evaluation index NME and user subjective evaluation methods, respectively. Experiment results showed that our method could vividly use audio contentsto generate corresponding speaker videos, and its lip-matching accuracy and expression postures are better than those of previous work. Compared with existing methods in the NME index and user subjective evaluation, our method showed better results. (shrink)

The spread of fake news online has far reaching implications for the lives of people offline. There is increasing pressure for content sharing platforms to intervene and mitigate the spread of fake news, but intervention spawns accusations of biased censorship. The tension between fair moderation and censorship highlights two related problems that arise in flagging online content as fake or legitimate: firstly, what kind of content counts as a problem such that it should be flagged, and secondly, (...) is it practically and theoretically possible to gather and label instances of such content in an unbiased manner? In this paper, I argue that answering either question involves making value judgements that can generate user distrust toward fact checking efforts. (shrink)

The aim of the current research is to investigate the feasibility of identifying offensive language in Lithuanian by utilising the Simplified Offensive Language Taxonomy (SOLT). The key principle behind this taxonomy is its ability to complement existing offensive language ontologies and tagset systems, with the ultimate goal of integrating it into publicly accessible Linguistic Linked Open Data (LLOD) resources. The dataset used in the current study is a publicly available corpus of user-generated comments collected from a Lithuanian portal (...) (Amilevičius et al. 2016). The study identified that offensive language predominantly focuses on collective derogatory language rather than individuals. The most common category of offensive language is related to physical and mental disabilities, followed by ideological offenses, xenophobic and sexist remarks, and less frequent categories like ageism, classism, homophobia, and religious discrimination. These results highlight the diverse range of offensive language online and underscore the need to combat discrimination and promote respectful discourse, particularly concerning marginalised groups. (shrink)

The objective of this study is to analyze the relationship between views and social interaction generated by YouTuber videos in Spanish. A quali-quantitative analysis is conducted on a sample of 100 videos, 10 YouTube channels, 997 minutes of video, with 116,934,321 views, 12,297,021 likes/dislikes, and 1,041,191 comments on YT, 306,000 retweets/favorites on TW and 140,852 comments, shares, and reactions on FB. The existence of social media tools on YouTube does not in itself guarantee interaction by users who prefer to (...) watch videos and adopt a passive attitude. In this analysis, we propose a social interaction indicator that takes into account the total number of social media reactions made on social networks and the age of the video. Cultivating realistic conversation and interaction on platforms with audiences numbering in the millions represents a serious challenge for YouTubers. (shrink)

Machine generated contents note: -- Acknowledgements -- Disrupting the Impression of Stability in the Gender-Technology Relation -- Changing Images of Computers and its Users since 1980 -- Discursive Developments Within Computer Education -- Variations in Gender-ICT Relations Among Male and Female Computer Students -- Stories About Individual Change and Transformation -- Layered Meanings and Differences Within -- Is there an Elsewhere? -- References -- Endnotes -- Index.

Scholars and practitioners across domains are increasingly concerned with algorithmic transparency and opacity, interrogating the values and assumptions embedded in automated, black-boxed systems, particularly in user-generated content platforms. I report from an ethnography of infrastructure in Wikipedia to discuss an often understudied aspect of this topic: the local, contextual, learned expertise involved in participating in a highly automated social–technical environment. Today, the organizational culture of Wikipedia is deeply intertwined with various data-driven algorithmic systems, which Wikipedians rely on (...) to help manage and govern the “anyone can edit” encyclopedia at a massive scale. These bots, scripts, tools, plugins, and dashboards make Wikipedia more efficient for those who know how to work with them, but like all organizational culture, newcomers must learn them if they want to fully participate. I illustrate how cultural and organizational expertise is enacted around algorithmic agents by discussing two autoethnographic vignettes, which relate my personal experience as a veteran in Wikipedia. I present thick descriptions of how governance and gatekeeping practices are articulated through and in alignment with these automated infrastructures. Over the past 15 years, Wikipedian veterans and administrators have made specific decisions to support administrative and editorial workflows with automation in particular ways and not others. I use these cases of Wikipedia’s bot-supported bureaucracy to discuss several issues in the fields of critical algorithms studies; critical data studies; and fairness, accountability, and transparency in machine learning—most principally arguing that scholarship and practice must go beyond trying to “open up the black box” of such systems and also examine sociocultural processes like newcomer socialization. (shrink)

Since its onset, scholars have characterized social media as a valuable source for data collection since it presents several benefits (e.g. exploring research questions with hard-to-reach populations). Nonetheless, methods of online data collection are riddled with ethical and methodological challenges that researchers must consider if they want to adopt good practices when collecting and analyzing online data. Drawing from our primary research project, where we collected passive online data on Reddit, we explore and detail the steps that researchers must consider (...) before collecting online data: (1) planning online data collection; (2) ethical considerations; and (3) data collection. We also discuss two atypical questions that researchers should also consider: (1) how to handle deleted user-generated content; and (2) how to quote user-generated content. Moving on from the dichotomous discussion between what is public and private data, we present recommendations for good practices when collecting and analyzing qualitative online data. (shrink)

The negative impacts of social media have given rise to philosophical questions around whether social media companies have the authority to regulate user-generated content on their platforms. The most popular justification for that authority is to appeal to private ownership rights. Social media companies own their platforms, and their ownership comes with various rights that ground their authority to moderate user-generated content on their platforms. However, we argue that ownership rights can be limited when (...) their exercise results in significant harms to others or the perpetration of injustices. We outline some of the substantive harms that social media platforms inflict through their practices of content moderation and some of the procedural injustices that arise through their arbitrary application of community guidelines. This provides a normative basis for calls to better regulate user-generated content on social media platforms. We conclude by considering some of the political and legal implications of our argument. (shrink)

This study identifies and explores evolving concepts of trust and privacy in the context of user-generated health data. We define “user-generated health data” as data captured through devices or software and used outside of traditional clinical settings for tracking personal health data. The investigators conducted qualitative research through semistructured interviews with researchers, health technology start-up companies, and members of the general public to inquire why and how they interact with and understand the value of user- (...) class='Hi'>generated health data. We found significant results concerning new attitudes toward trust, privacy, and sharing of health data outside of clinical settings that conflict with regulations governing health data within clinical settings. Members of the general public expressed little concern about sharing health data with the companies that sold the devices or apps they used, and indicated that they rarely read the “terms and conditions” detailing how their data may be exploited by the company or third-party affiliates before consenting to them. In contrast, interviews with researchers revealed significant resistance among potential research participants to sharing their user-generated health data for purposes of scientific study. The widespread rhetoric of personalization and social sharing in “user-generated culture” appears to facilitate an understanding of user-generated health data that deemphasizes the risk of exploitation in favor of loosely defined benefits to individual and social well-being. We recommend clarification and greater transparency of regulations governing data sharing related to health. (shrink)

An increasing number of users have been attracted by location-based social networks in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the human behavior movement from their spatiotemporal mobility patterns and spawns a large number of location-based applications. For instance, one of such applications is to produce personalized point of interest recommendations that users are interested in. Different from traditional recommendation methods, the recommendations in LBSNs (...) come with two vital dimensions, namely, geographical and temporal. However, previously proposed methods do not adequately explore geographical influence and temporal influence. Therefore, fusing geographical and temporal influences for better recommendation accuracy in LBSNs remains potential. In this work, our aim is to generate a top recommendation list of POIs for a target user. Specially, we explore how to produce the POI recommendation by leveraging spatiotemporal information. In order to exploit both geographical and temporal influences, we first design a probabilistic method to initially detect users’ spatial orientation by analyzing visibility weights of POIs which are visited by them. Second, we perform collaborative filtering by detecting users’ temporal preferences. At last, for making the POI recommendation, we combine the aforementioned two approaches, that is, integrating the spatial and temporal influences, to construct a unified framework. Our experimental results on two real-world datasets indicate that our proposed method outperforms the current state-of-the-art POI recommendation approaches. (shrink)

As false information may spread rapidly on social media, a profound understanding of how it can be debunked is required. This study offers empirical insights into the development of rumors after they are debunked, the various user groups who are involved in the process, and their network structures. As crisis situations are highly sensitive to the spread of rumors, Twitter posts from during the 2017 G20 summit are examined. Tweets regarding five rumors that were debunked during this event were (...) manually coded into the following categories: rumor, debunking message, uncertainty about rumor, uncertainty about debunking message, and others. Our findings show that rumors which are debunked early and vehemently by official sources are the most likely to be stopped. When individuals participate in the process, they typically do so by sharing uncommented media content, as opposed to contributing user-generated content. Depending on the conditions in which a rumor arises, different network structures can be found. Since some rumors are easier for individuals to verify than others, our results have implications for the priorities of journalists and official sources. (shrink)

Digital games can be considered as composed of two main components: the props, i.e. visual, textual, and aural elements such as codes, 3D models and animations; and the form, specially the interaction between players and games, the act of playing itself. This dichotomy thus begs the question whether digital games are indeed games if nobody plays them, and ultimately: who is the owner of the gameplay and any by-product of the interaction between the game and the players? This paper explores (...) the copyright status of content created by users with digital games, such as gameplay videos and images, for example art based on digital game assets, namely virtual photography; as well as customized in-game objects. Many modern digital games offer considerable freedom to players, in terms of how the action on screen evolves and the visual outcomes that the game can produce. Scholars have asserted that digital games avatars, the characters created in games, should be considered a joint work between players and the game developers and some game companies allow the commercial use of videos created from their games. Conversely, other companies expressly prohibit such use, and issue DMCA takedown notices to infringers. Attention will be devoted to specific games as authorial tools, such as _SpaceEngine_ and _Townscaper_, where there are neither objectives nor challenges, but they are rather tools that enable players’ creativity. (shrink)

The cultural consumption research landscape of the 21st century is marked by an increasing cross-disciplinary fermentation. At the same time, cultural theory and analysis have been marked by successive ‘inter-’ turns, most notably with regard to the Big Four: multimodality (or intermodality), interdiscursivity, transmediality (or intermediality), and intertextuality. This book offers an outline of interdiscursivity as an integrative platform for accommodating these notions. To this end, a call for a return to Foucault is issued via a critical engagement with the (...) so-called practice-turn. This re-turn does not seek to reconstitute venerably Foucauldianism, but to theorize ‘inters-’ as vanishing points that challenge the integrity of discrete cultural orders in non-convergent manners. The propounded interdiscursivity approach is offered as a reading strategy that permeates the contemporary cultural consumption phenomena that are scrutinized in this book, against a pan-consumptivist framework. By drawing on qualitative and mixed methods research designs, facilitated by CAQDAS software, the empirical studies that are hosted here span a vivid array of topics that are directly relevant to both traditional and new media researchers, such as the consumption of ideologies in Web 2.0 social movements, the ability of micro-celebrities to act as cultural game-changers, the post-loyalty abjective consumption ethos. The theoretically novel approaches on offer are coupled with methodological innovations in areas such as user-generated content, artists’ branding, and experiential consumption. (shrink)

Internet users have access to a multitude of science-related information – on journalistic news sites but also on blogs with user-generated content. In this context, we investigated in two studies the factors which influence laypersons’ selective exposure. In an experiment with a collection of online news, parents were asked to search for information about the controversy surrounding violence in the media. Texts from high-reputation sources were clicked on more frequently – regardless of content –, whereas ratings (...) by others had limited effects. In a second experiment, the expertise and gender of blog authors as well as valence and number of ratings were varied. In this setting, texts from sources with positive ratings were read for longer. Results show that laypersons make use of credibility cues when deciding which articles to read. For online news sites, media reputation is most important, whereas in blogs, ratings are taken into account more frequently. (shrink)