More than Just Remixing: Uptake and New Media Composition

This article turns to genre theory's recent explorations of uptake, broadly defined as the ways genres interact, as a resource for sketching a pedagogy of shuttling between genres. Using uptake, I intend to reconceptualize multimodal compositions as a means of participating in rhetorical ecologies that consist of transactions between genres instead of thinking of remixes as an end in themselves. In this article, I first define the concept of uptake in detail and discuss its use in rhetorical genre studies. After further illustrating uptake through an analysis of transactions between YouTube parodies and the 2005 German language film Downfall, I discuss existing scholarship in multimodal composition that draws on genre but not the idea of uptake in order to lay a foundation for a pedagogy that highlights the links, feedbacks, and rules that coordinate genres. My aim in the last section is to sketch possibilities for how teachers and students can deploy the concept of uptake as a rhetorical tool to strengthen their awareness of genre and multimodality. In doing this, I hope to reposition multimodal projects as beginnings or midpoints that lead to students’ emersion into public discourse rather than culminations or end goals in themselves. Integrating studies of uptake into writing curricula in this way will help students to make sophisticated rhetorical decisions in the age of media convergence.     

基于信息内容和拓扑关系的社会媒体用户兴趣分类

随着社会的发展,信息已经成为社会发展越来越重要的部分,人类的信息传播活动越来越明显地展示出分众特征,对用户的分类成为人类信息活动的一个重要研究课题.从这一目标出发,分别基于信息内容、拓扑关系和两者综合的方法,按兴趣主题对社会媒体用户进行分类.对于基于信息内容的用户分类,采用LDA主题模型从用户所发布的内容中提取其主题分布,基于这一分布,采用支持向量机、决策树、贝叶斯等多种模型按兴趣主题对用户进行分类.对于基于拓扑关系的分类,依据相同兴趣主题的用户倾向于拥有共同的粉丝这一发现,构建分类模型来按兴趣主题对用户进行分类.然后提出综合信息内容和拓扑关系的分类方法来对用户进行分类.最后基于大规模Twitter数据的实验发现,采用综合方法对用户进行的兴趣分类性能明显高于采用单一信息内容或粉丝拓扑方法的性能.     

从脸书用户个人信息泄露事件谈我国社交媒体用户隐私保护

The rapid development of information technology has promoted the popularization of social media applications. Social me- dia has become a platform for users to search for real-time information and communicate and interact. Privacy protection is an im- portant symbol of the progress of human modern civilization. While enjoying the benefits brought by social media, human rights al- so face unprecedented challenges. Therefore, the protection of privacy highlights its importance. This paper analyzes the information leakage of Facebook users in order to discover the various risks faced by the privacy protection of social media users. Then it re- views the user privacy protection measures of major social media platforms at home and abroad. Finally, it is recommended that the government level should speed up the improvement of the social media platform user privacy supervision system, the enterprise lev- el should strengthen the implementation of the social media platform user privacy protection subject responsibility, and the user must improve personal information security literacy and protect personal information and privacy together.     

Gamers,Surfers, Social Media Users: Unpacking the role of interest in English

Across stages of acquisition, second language (L2) competencies are contingent on the variation among individuals learning the language, in both informal and formal learning contexts. This study investigates a group of outliers whose extreme test scores serve as a foundation to examine them as individuals. The study addresses the outliers' characteristics as good L2 readers but poor first language (L1) readers. Combining quantitative (test results, survey, and language logs) and qualitative (focus groups and interviews) data among 21 adolescents in Norway (aged 16–17 years), the study identifies dimensions of individual language use in L1 Norwegian and L2 English. Findings revealed that they explained their English proficiency by the role of interest and their extensive use of English technology and tools outside school. In‐depth analysis identified three profiles: the Gamer, who spends up to 8 hr daily playing online games while using English mainly; the Surfer, who spends hours on the Internet, searching for authentic language situations, commonly involving English; and the Social Media User, who produces and consumes information in English through social media. Additionally, the Gamers read printed novels voluntarily outside the classroom. This study offers unique perspectives and new directions for future L2 research.     

Influence Levels of Users and Meta-Users of a Social Network

This paper considers an extension of the actional model of influence in online social networks. Within the framework of this model, the influence and influence levels of separate agents (users) and meta-agents (subsets of users) are calculated on the basis of their actions taking into account the goals of a control subject (a Principal). We study some properties of the influence function. An example illustrates how the actional model can be used to calculate the influence levels of users in a concrete social network under available initial data.     

基于社交网络用户特征的数据挖掘研究

随着网络与移动通讯的发展,人们的社交关系与网络衔接越来越紧密。本文对互联网社交网络用户特征进行分析,分析社交网络群体结构、用户影响力、用户活跃度,从用户特征权重的角度进行预测算法研究,建立社交网络用户特征的数据挖掘模型,利用蒙特卡罗仿真方法,实现对社交网络用户特征数据的加工与利用。     

Implementation of self-managed teams in manufacturing: More of a marathon than a sprint

During the past decade teamwork in manufacturing, as in other sectors, has become the organisational form of choice. In contrast to earlier manifestations such as autonomous workgroups some 30 years earlier, this appears to have been largely for business and production reasons rather than being directly aimed at improving the quality of work life. Taken from part of a larger study of teamworking in several different manufacturing companies this paper draws upon a retrospective analysis of cases of self-managed team implementation in UK manufacturing. Examples of good and bad practice and consequent guidance have been identified where the weight of evidence gives confidence in their general applicability. A basis for benchmarking is provided, related to preparation, implementation and maintenance of self-managed teams in manufacturing. Key gaps identified are for tools to assist in early functional analysis, leadership decisions and boundary setting, and appropriate team performance measurement and reward systems.     

Social Roles and Consequences in Using Social Media in Disasters: a Structurational Perspective

Disaster management officials, as well as the general public, are increasingly using social media to communicate. Such usage has resulted in new and emergent social consequences for disaster management and has reformed the roles of its relevant stakeholders. However, the existing literature on social media use in disasters is still preliminary and incomplete, and does not capture the change in social roles that stakeholders have taken and the consequences of the actions that people take in using social media. In this paper, by using Structuration theory as a meta-theory and by analysing the posts and comments in three officials’ Facebook fan pages in three different disasters, we theorize the social structures (i.e., social roles and social consequences) and the human actions taken by both the public and the disaster management officials during disasters. Furthermore, we explain how the social structures emerge out of the human actions involved, and how the social structures further shape those actions. Our research provides theoretical and practical insights into how the usage of social media in disasters benefits disaster management and reinforces the roles of the different stakeholders.     

More than modelling and hiding: towards a comprehensive view of Web mining and privacy

Over the last decade, privacy has been widely recognised as one of the major problems of data collections in general and the Web in particular. This concerns specifically data arising from Web usage (such as querying or transacting) and social networking (characterised by rich self-profiling including relational information) and the inferences drawn from them. The data mining community has been very conscious of these issues and has addressed in particular the inference problems through various methods for “privacy-preserving data mining” and “privacy-preserving data publishing”. However, it appears that these approaches by themselves cannot effectively solve the privacy problems posed by mining. We argue that this is due to the underlying notions of privacy and of data mining, both of which are too narrow. Drawing on notions of privacy not only as hiding, but as control and negotiation, as well as on data mining not only as modelling, but as the whole cycle of knowledge discovery, we offer an alternative view. This is intended to be a comprehensive view of the privacy challenges as well as solution approaches along all phases of the knowledge discovery cycle. The paper thus combines a survey with an outline of an agenda for a comprehensive, interdisciplinary view of Web mining and privacy.     

Political Expression and Action on Social Media: Exploring the Relationship Between Lower‐ and Higher‐Threshold Political Activities Among Twitter Users in Italy

Scholars and commentators have debated whether lower‐threshold forms of political engagement on social media should be treated as being conducive to higher‐threshold modes of political participation or a diversion from them. Drawing on an original survey of a representative sample of Italians who discussed the 2013 election on Twitter, we demonstrate that the more respondents acquire political information via social media and express themselves politically on these platforms, the more they are likely to contact politicians via e‐mail, campaign for parties and candidates using social media, and attend offline events to which they were invited online. These results suggest that lower‐threshold forms of political engagement on social media do not distract from higher‐threshold activities, but are strongly associated with them.     

面向端用户的流媒体业务性能监测与分析

目前,已有的流媒体业务性能测量工具主要用于对服务进行压力测试,不能反映终端用户的实际使用性能。本文从端用户角度设计了合理反映流媒体业务性能的指标,提出并实现了一种基于主动业务仿真的流媒体业务性能测量方法,能及时向流媒体服务器反馈信息,实现动态的质量控制,并为流媒体业务系统的优化提供依据。     

基于位置的社交网络用户签到及相关行为研究

Web2.0时代,空间定位技术不断成熟,使得基于位置的社交网络(LBSN)快速发展.LBSN用户的典型行为是签到以及针对签到地进行评论等.探索用户签到及相关行为的规律及背后动机,可以更好地了解用户的需求,发现系统设计与用户需求的不匹配之处,这对LBSN类应用的设计和开发具有一定的指导意义.利用在线数据抓取工具GooSeeker抽样国内典型的LBSN嘀咕网的用户数据.通过对获取的数据进行处理、分析,获知用户签到行为特点.同时关注用户发布的签到地评论的内容,并且使用分类工具SVMCLS将用户对麦当劳的评论划分为不同的倾向级别,从而得到用户对麦当劳的主观情感倾向性.结果发现嘀咕网用户签到的时间和地点存在规律性特征.用户趋向于在签到地做出正面的评论,并且评论的内容比较简短.这些发现有助于LBSN类系统设计和开发人员更好地了解用户,获知用户的需求,最终完善自己的设计,为用户提供更好的应用服务.     

News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking

Polls show a strong decline in public trust of traditional news outlets; however, social media offers new avenues for receiving news content. This experiment used the Facebook API to manipulate whether a news story appeared to have been posted on Facebook by one of the respondent's real‐life Facebook friends. Results show that social media recommendations improve levels of media trust, and also make people want to follow more news from that particular media outlet in the future. Moreover, these effects are amplified when the real‐life friend sharing the story on social media is perceived as an opinion leader. Implications for democracy and the news business are discussed.     

The Identification and Influence of Social Roles in a Social Media Product Community

This research focuses on the identification of social roles and an investigation of their influence in online context. Relying on a systemic approach for role conceptualization, we investigate member's activity, shared content and position in the network within a consumer to consumer social media‐based community (SMC) around a product. This investigation led to the identification of ten core roles, based on three key elements: object of interest (product, practice, and community), main contribution type (sharing information and seeking information), individual orientation (factual, emotional). We propose an explanation about how these roles, through their positioning, participate in the community dynamics and how they contribute to the creation and diffusion of cookery as a social practice, shaping the periphery around this practice.     

基于用户及其行为社会属性的信任测度模型

信任测度是信任机制的核心和基础,现有的信任机制面临着恶意用户操纵信誉的安全威胁。基于用户及其行为社会属性的信任测度模型对传统的信任机制进行了扩充,引入用户及其行为所映射的本质特性即社会属性来描述和分析恶意用户及其行为的特征,在信任测度过程中增加信誉评审过程来修正对信任测度的攻击,从而保证了分布式环境中的信任测度的可信性。模拟实验表明,该信任测度模型能有效地应对恶意用户对信誉的操纵攻击。     

基于深度模型的社会新闻对用户情感影响挖掘

该文研究了社会新闻中影响读者情感的深层特征。使用三种文本特征选择方法,分别从一元词、二元词和主题粒度下提取文本浅层特征,使用支持向量机模型选择三种粒度下最优浅层特征并且进行分类,得到最优宏平均F1值分别为60.5%、62.1%、63.3%。引入深度信念网络模型,使用三种粒度下最优浅层特征作为输入,进一步训练和抽象得到深层特征,实验中使用深度为3的深度信念网络模型进行训练与分类,最优宏平均F1值分别为61.4%、63.5%、66.1%。实验结果表明,深层特征比浅层特征具有更多的文本语义信息,可以更好地判断社会新闻对公众情绪影响。     

More than watching: An empirical and experimental examination on the impacts of live streaming user-generated video consumption

Live streaming user-generated video (UGV), a nascent format of crowdsourced content, has grown massive popularity among social media users and is believed to have substantial potential business influences. However, industry practitioners express concerns regarding this new form on social media platforms and the influences of live streaming UGV consumption lack research. Motivated such, through a uniquely merged dataset from the video game industry, we conduct a series of panel time-series empirical analyses to investigate the business value of live streaming UGV consumption. Further, we propose a conceptual framework based on the sense of community literature to understand the consequences of live streaming UGV consumption and verify it through several online experiments. This research contributes to the IS literature by shedding light on the influences of emergent crowdsourced content, providing a conceptual framework to existing literature, and offering rich managerial implications and guidelines to managers regarding utilizing live streaming UGVs.     

The Perils and Promises of Self-Disclosure on Social Media

In addition to their professional social media accounts, individuals are increasingly using their personal profiles and casual posts to communicate their identities to work colleagues. They do this in order to ‘stand out from the crowd’ and to signal attributes that are difficult to showcase explicitly in a work setting. Existing studies have tended to treat personal posts viewed in a professional context as a problem, since they can threaten impression management efforts. These accounts focus on the attempts of individuals to separate their life domains on social media. In contrast, we present the narratives of professional IT workers in India who intentionally disrupt the boundaries between personal and professional profiles in order to get noticed by their employers. Drawing on the dramaturgical vocabulary of Goffman (1959) we shed light on how individuals cope with increased levels of self-disclosure on social media. We argue that their self-presentations can be likened to post-modern performances in which the traditional boundaries between actor and audience are intentionally unsettled. These casual posts communicate additional personal traits that are not otherwise included in professional presentations. Since there are no strict boundaries between formal front-stage and relaxed back-stage regions in these types of performance, a liminal mental state is often used, which enables a better assessment of the type of information to present on social media.