Framing the Women’s March on Washington: Media coverage and organizational messaging alignment

Half a million citizens participated in the Women’s March on Washington the day after President Trump’s inauguration, starting a political movement. The march communicated key messages to the public directly and via the media. This study explores how media coverage framed those key messages through content analysis. Media frames mentioned all key messages, emphasizing solidarity and activation at the grassroots, and in a way that both supported and challenged organizational messages. Theoretical and practical implications are discussed.     

提升英语口语思辨能力的教学改革策略

针对21世纪对英语口语思辨表达能力的要求，分析了英语口语和思辨性表达的关系，回顾了提升英语口语思辨能力的理论文献，总结了在英语听说课程中实践话题性内容听力导入、小组活动、演讲范例分析和呈现、文学经典作品导入和呈现有效提升英语口语思辨表达能力的作用。     

A Qualitative Case Study on Recovery and Personal Growth in Korean Drug Addicts

ABSTRACT

In recent years, crimes related to drug smuggling and production have gradually increased in Korea. This qualitative case study explores the experiences of Koreans recovering from drug addiction and identifies specific details and mechanisms of recovery. For this purpose, participants were selected based on criteria such as engaging in social activities after recovery from addiction for 3 years or more. Next, one-on-one in-depth interviews were conducted with five voluntarily consenting participants. Data were analyzed using the within-/cross-case analysis suggested by Creswell. Substantial personal growth took place in the recovery process for drug addicts. Nineteen themes were identified as manifestations of personal growth through within-case analysis. Four common themes were then derived through cross-case analysis. These four common themes were “reconnection with reality,” “embracing the essence of one's own existence,” “reconstructing oneself in social relations,” and “self-love.” The study's results suggest that a recovery program needs to be developed wherein the program not only enables drug addicts to reflect on their current existence but also allows them to develop their specific coping skills. Future research should be broadened to consider the social support mechanism and viewpoints of people including family and local community members in close contact with drug addicts.     

Varieties of political support in emerging democracies: A cross-national analysis

Political support is a multidimensional construct encompassing evaluations of political leaders and institutions (specific support) as well as adherence to basic regime principles (diffuse support). Scholars have traditionally assumed that diffuse and specific support are driven by different forces and evolve largely independently. Prior empirical work, however, has struggled to untangle the two support dimensions and focused predominantly on cross-national differences, ignoring their dynamics. This paper develops an analytical and empirical approach to examine the levels and dynamic interplay of both support dimensions and estimate their determinants, applying it to South American democracies between 1996 and 2015. Contrary to received wisdom, we show that both dimensions are quite volatile and closely linked in this region. In particular, negative economic shocks not only undermine support for government actors, but also fuel democratic disenchantment. Nonetheless, while regime support is rather fickle in South America, it can be ultimately resistant to performance fluctuations.     

数据赋能驱动制造业企业实现敏捷制造案例研究

  世界经济的发展呼唤先进制造理念和制造技术，敏捷制造受到学者的广泛关注。制造业企业通过了解实现敏捷制造的过程机理，可以使其灵活地运用各种先进生产技术促成敏捷制造。然而，已有对制造业企业实现敏捷制造过程的研究缺少契合当前情景的视角以及完整、清晰的探究。         鉴于此，引入赋能概念，从数据驱动的视角对青岛酷特智能公司的研发、生产和营销3个阶段进行深入分析，结合扎根理论的3级编码技术，构建制造业企业通过数据赋能实现敏捷制造的过程模型。在已有研究基础上，构建敏捷制造的开放式概念框架，通过调研访谈、实地考察等方式获得分析数据，分析并构建制造业企业实现敏捷制造的过程模型，结合已有研究对该模型进行进一步讨论和完善。研究过程严格遵循理论构建的理论-实践-理论研究逻辑。         研究结果表明，企业的敏捷制造能力可以通过高效对接消费者需求与资源以及提高中间对接环节的效率来打造。从数据驱动视角看，数据化、标准化和联网化是制造业企业实现敏捷制造的核心所在。一方面，数据化和标准化可以提高数据的可接入性和流通性，减少制造加工环节的延缓；另一方面，联网化可以让需求数据直接对接企业的资源和制造过程的设备，进而实现资源的自动整合，打造企业高响应速度、高质量、低成本的供给。         从数据驱动视角构建的敏捷制造过程模型系统详细地解释了制造业企业通过数据赋能实现敏捷制造的过程，完善和拓展了关于敏捷制造的研究，为未来敏捷制造实证研究提供了一定的研究基础和启示。此外，为了给企业实践提供更加详细、明确的指导，给出基于数据赋能驱动制造业企业实现敏捷制造的实践指导步骤。     

Bibliometrics of Big Data Research Literature in Social Science

[Purpose/Significance] This article provides a bibliometric study of the big data research literature in social science to explore its features and patterns both in domestic and international area, quantitatively and qualitatively. [Method/Process] This article collects the data from academic databases, then makes statistical analysis on significant characteristics to evaluate the regularity of document increase, distribution of subject categories, most prolific and impactful institutions, and then discusses the relations between research front and intellectual base via citation and co-citation analysis, finally concludes research features and patterns of big data. [Result/Conclusion] (1) Different subject categories show the different level of research interest while big data research has been one of the most popular topics in social science. The most documents are from information science and library science. (2) Besides journals of high output subject categories, computer science, telecommunications and multidisciplinary journals are common intellectual bases of big data research in social science. (3) Renmin University of China in domestic and Harvard University in the world are top institutions according to the number of fruits and influence of their publications of big data research in social science. (4) For China, publication quantity in social science makes apparent growth while international academic influence is still limited.     

零售4.0时代先行发货问题的大数据分析

在零售4.0时代，渠道的多样化不仅丰富了数据源，还能迅速生成大量数据，需要通过分析大数据，为决策提取有意义的信息，通过分析先行发货的重要性，提出了一种基于遗传算法（GA）的优化模型，预测顾客何时购买，然后在顾客线下单前将产品运送到距顾客最近的配送中心，解决先行发货中存在的问题。研究认为，需要先部署云计算来存储所有渠道生成的大数据，再应用基于集群的关联规则挖掘研究顾客的购买行为，根据“如果-那么”预测规则预测未来的采购情况，最后利用修正的遗传算法生成最优的先行发货计划；这种遗传算法考虑了其在运输成本和运输距离之外，还有预测规则的置信度，利用大量的数值实验权衡了先行发货中的不同因素，验证了模型的最优可靠性     

大数据驱动下的政府治理机制研究——基于2020年后精准扶贫领域的返贫阻断分析

大数据时代已经到来，大数据驱动下的政府治理发生何种改变，目前相关研究较少。当前政府治理的考验集中在2020年实现全面脱贫后精准扶贫领域的返贫阻断。文章以该领域为切入点，探索大数据驱动下政府治理的内在机制。研究发现：大数据背景下，政府治理能力催生出新的核心能力，即数据治理能力。数据治理能力驱动下，政府治理主体多元化有利于实现政府治理资源的宽范围、精准化动员；政府治理方式实现经验式决策向数据化决策转变，有利于实现政府资源的高效率和公平配置；政府治理客体的精准识别，有利于政府资源的精准化和最优化运用。但是客观上必须具备数据治理能力，主观上必须按照大数据驱动的要求重构政府治理体系（包括治理主体、治理方式和治理客体），才能真正实现以数据治理驱动政府治理，进而提高政府治理能力的目的。而数据治理能力客观上也加速了政府治理体系的重构，进而加快了政府治理能力的提升，并最终提高政府治理绩效。在对标大数据应用不同阶段分析常规式返贫阻断和大数据返贫阻断的不足和差距的基础上，笔者提出重构政府治理体系和提升数据治理能力等针对性建议。     

Personal networks typologies: A structural approach

Building typologies allows to compare networks on multiple dimensions, and to approach a generalization grounded on empirical data. In this article, we present a typology of personal networks only based on indicators related to the structure of relations between alters. It is designed from very detailed data on young French people who were involved in a longitudinal study. Our typology mobilizes a small number of indicators to discriminate the types that compose it. In so doing, we intend to make it applicable to various surveys.     

Impression management techniques in crowdfunding: An analysis of Kickstarter videos using artificial intelligence

Crowdfunding entrepreneurs increasingly use videos to present their venture and themselves to potential investors. To do this effectively, they consciously or unconsciously use several impression management techniques. Based on human and automated (AI-based analysis) of technology-related videos, we determine which impression management techniques help crowdfunding creators to attract a higher number of backers and meet their financial targets. Our results indicate that self-presentation and exemplification techniques are positively associated with crowdfunding success, while intimidation is negatively related to crowdfunding success. Our findings show that automated analysis of videos using advanced AI can replace human coding since measures based on human coding become insignificant when AI-based measures are included in the analysis. This illustrates the insights companies can create through the large scale automated analysis of video content using AI, including outside of a crowdfunding context.