基于前景理论的商业化网媒行为监管演化博弈分析

从网媒的商业化运营角度,利用演化博弈论的方法探究政媒合作共同治理网络舆情的模式,考虑决策者的非完全理性对风险偏好的影响,将前景理论引入政府与网媒的演化博弈模型,利用雅克比矩阵对平衡点进行稳定性分析,推理出政府和网媒积极参与网络舆情治理的约束条件,并构建政媒合作模型,分析政府和网媒协同合作防治网络舆情危机事件的可能性。结果表明,政媒合作制度在一定条件下可以激励网媒发挥其对舆情进行积极引导的主体作用,而在政媒合作失效的情况下,政府应加大监管力度,并提升对网媒不负责任传播的处罚力度。     

Understanding the effects of physical experience and information integration on consumer use of online to offline commerce

Online to Offline (O2O) commerce commands intense attention from both academic and practical fields, but the unique features of O2O commerce and how these features affect consumer use of O2O commerce remain unclear. Based on an analysis of the features of O2O commerce, we build a research model integrating perceived value theory and the technology acceptance model to examine the influence of the features of O2O commerce on consumer use intention. The research model is tested with data collected from a field survey using structural equation modelling. Two crucial features of O2O commerce, namely, “physical experience” and “integration of online and offline information”, are shown to exert significant impacts on consumer use intention via the classic core constructs of perceived benefit, perceived usefulness, and perceived value. The findings validate the two features’ impact on consumer use of O2O commerce via both technological and economic attributes. The implications for merchants’ and platforms’ operation in O2O commerce are discussed.     

Intelligent scientific authoring tools: Interactive data mining for constructive uses of citation networks

Many powerful methods and tools exist for extracting meaning from scientific publications, their texts, and their citation links. However, existing proposals often neglect a fundamental aspect of learning: that understanding and learning require an active and constructive exploration of a domain. In this paper, we describe a new method and a tool that use data mining and interactivity to turn the typical search and retrieve dialogue, in which the user asks questions and a system gives answers, into a dialogue that also involves sense-making, in which the user has to become active by constructing a bibliography and a domain model of the search term(s). This model starts from an automatically generated and annotated clustering solution that is iteratively modified by users. The tool is part of an integrated authoring system covering all phases from search through reading and sense-making to writing. Two evaluation studies demonstrate the usability of this interactive and constructive approach, and they show that clusters and groups represent identifiable sub-topics.