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    Journal of Northeastern University(Social Science)    2007, 9 (5): 388-392.   DOI: -
    Abstract1538)   HTML    PDF(pc) (353KB)(8032)       Save
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    Journal of Northeastern University(Social Science)    2008, 10 (3): 259-262+268.   DOI: -
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    Journal of Northeastern University(Social Science)    2007, 9 (1): 6-10.   DOI: -
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    On the Explanatory Pathways and Theoretical Models for Translation Universals
    LIU Yan-chun, HU Xian-yao
    Journal of Northeastern University(Social Science)    2020, 22 (5): 114-119.   DOI: 10.15936/j.cnki.1008-3758.2020.05.015
    Abstract467)   HTML    PDF(pc) (845KB)(6730)       Save
    In the past two decades, empirical studies on Translation Universals (TU) have made considerable progresses, while still faced with problems and critiques in its conceptualization, theoretical models and explanatory pathways. The explanatory paths and theoretical models are essential to the development of TU hypotheses. There exist three explanatory routes for TUs: social cultural ones, like translation norms and risk-averse models, linguistic ones, combining other linguistic concepts like grammatical metaphor, register, or language typology etc, and translators' cognitive process including relevance theory model and gravity hypothesis. Based on a review of these explanations and models, it could be proposed that the cognitive process approach with an interdisciplinary nature will be a most promising theoretical model for TUs.
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    Journal of Northeastern University(Social Science)    2012, 14 (1): 90-94.   DOI: -
    Abstract390)   HTML    PDF(pc) (159KB)(6178)       Save
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    Journal of Northeastern University(Social Science)    2007, 9 (5): 461-465.   DOI: -
    Abstract486)   HTML    PDF(pc) (157KB)(6016)       Save
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    Ethical Reflections, Governance and Implications Under the Background of Big Data Price Discrimination
    LI Fei-xiang
    Journal of Northeastern University(Social Science)    2020, 22 (1): 7-15.   DOI: 10.15936/j.cnki.1008-3758.2020.01.002
    Abstract1174)   HTML    PDF(pc) (940KB)(5946)       Save

    Big data technology improves social operation's efficiency and enriches people’s daily life, but it also brings the problem of price discrimination in the process of development. It not only infringes the legitimate rights and interests of users, but also affects people's trust in this advanced technology, which maybe due to the imperfection of technology development, the excessive pursuit of capitals, the absence of ethical norms and principles, the complexity and inadequacy of supervision and the users' negligence as well as difficulty of protecting their own legitimate rights. Therefore, such perspectives of data itself, Internet platforms and users can be taken to reexamine the hidden ethical reflections of big data technology, mainly involving several key points-the ownership and distribution of data, the ethical rules that algorithms should follow, the reasonable definition of subjects of responsibility, the maintenance of the trust mechanism of relevant platforms, and the awakening of users' awareness of “data rights”. Only by doing so can big data technology be better understood and applied, and the whole society is likely to make continuous progress towards the concept of “Tech for Social Good” in the application and restriction of data.

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    Journal of Northeastern University(Social Science)    2008, 10 (6): 501-504.   DOI: -
    Abstract569)   HTML    PDF(pc) (521KB)(5939)       Save
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    Journal of Northeastern University(Social Science)    2007, 9 (1): 16-19.   DOI: -
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    Journal of Northeastern University(Social Science)    2000, 2 (1): 47-49.   DOI: -
    Abstract285)   HTML    PDF(pc) (96KB)(5623)       Save
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    Journal of Northeastern University(Social Science)    2005, 7 (6): 458-460.   DOI: -
    Abstract492)   HTML    PDF(pc) (566KB)(5427)       Save
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    Research on the Configuration of the Implementation Intention of Mobile Shopping Behaviors Based on fsQCA
    WANG Lin, WANG Zhihua, ZHAO Yang
    Journal of Northeastern University(Social Science)    2022, 24 (5): 31-39.   DOI: 10.15936/j.cnki.1008-3758.2022.05.005
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    Triggering shopping desire with scenes has become an important means of merchants' marketing. However, there are few studies on the association mechanism between cognitive-emotional interaction responses and implementation intentions in different scenarios. A total of 390 valid samples were obtained through questionnaire surveys, using the fuzzy-set qualitative comparative analysis method (fsQCA), Based on the SOR model, from the perspective of multiple concurrent causality, the impact mechanism of the seven conditions of visual perception cues, quality safety cues and time cues, and the interaction configuration effects of perceived pleasure and perceived trust on implementation intentions was explored. It was found that: A single antecedent condition is not a necessary condition for the high/non-high implementation intentions of mobile shopping behaviors; The driving mechanism to realize the high implementation intentions of mobile shopping behaviors includes an overall solution, divided into 4 paths, revealing that the perception of high privacy protection is the core condition leading to the high implementation intentions of mobile shopping behaviors; The driving mechanism of non-high implementation intentions of mobile shopping behaviors has six paths, and there is a causal asymmetric relationship with the driving mechanism of high implementation intentions. The research conclusions enrich and develop the relevant theories of contextual clues, and provide specific suggestions and measures for e-commerce companies' precise marketing and user experience improvement.
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    Rewriting:“Gaixie” or “Chongxie” With Comments on Some Misunderstandings of Lefeveres Translation Theory
    QIU Jin, HU Wen-hua, DU Feng-gang
    Journal of Northeastern University(Social Science)    2014, 16 (5): 539-544.   DOI: -
    Abstract1425)   HTML    PDF(pc) (248KB)(5339)       Save
    The term “rewriting” proposed by André Lefevere has been translated into Chinese in two versions “Gaixie (改写)” and “Chongxie (重写)”. An analysis of the theoretical background of the term shows that Lefeveres rewriting theory takes advantage of Russian formalism, reception aesthetics and Marxist literary theories. After tracing the development of Lefeveres theory and conducting a detailed etymological study on the English prefix “re-” as well as the two Chinese characters concerned, it is pointed out that “Chongxie” is a more reasonable translation of “rewriting” in that it can better cover the wide-ranging research objects of Lefeveres theory, reflect the essence of Lefeveres idea about challenging the author-centered and text-centered paradigms, and reveal the philosophical significance of the original term. Meanwhile, some misunderstandings and disputes about “rewriting” partly resulting from the two confusing translations could be clarified.
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    Journal of Northeastern University(Social Science)    2006, 8 (1): 42-47.   DOI: -
    Abstract642)   HTML    PDF(pc) (1136KB)(5324)       Save
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    Ethical Issues of Algorithms and Their Solutions
    LIU Pei, CHI Zhong-jun
    Journal of Northeastern University(Social Science)    2019, 21 (2): 118-125.   DOI: 10.15936/j.cnki.1008-3758.2019.02.002
    Abstract839)   HTML    PDF(pc) (806KB)(5257)       Save
    As a powerful actor, algorithms intervene and even dominate in a wide variety of domains. However, increasingly complex and autonomous algorithms pose such ethical issues as transparency, fairness, algorithm discrimination, autonomy, privacy security and accountability. From the internalist approach, there are at least two solutions: algorithm ethical design and application limits. From the externalist approach, designers' ethical responsibilities and multi-disciplinary cooperation should be emphasized, and the public should be encouraged to participate in algorithm design and algorithm supervision. Only by taking effective measures to solve the ethical issues of algorithms can fair, transparent and accountable algorithms be obtained.
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    Journal of Northeastern University(Social Science)    2008, 10 (4): 319-326.   DOI: -
    Abstract244)   HTML    PDF(pc) (1625KB)(5210)       Save
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    Journal of Northeastern University(Social Science)    2011, 13 (6): 527-533.   DOI: -
    Abstract688)   HTML    PDF(pc) (318KB)(5176)       Save
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    Journal of Northeastern University(Social Science)    2011, 13 (4): 356-361.   DOI: -
    Abstract363)   HTML    PDF(pc) (183KB)(5165)       Save
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    Journal of Northeastern University(Social Science)    2011, 32 (5): 416-420+425.   DOI: -
    Abstract473)   HTML    PDF(pc) (493KB)(5163)       Save
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    Journal of Northeastern University(Social Science)    2004, 6 (2): 135-137.   DOI: -
    Abstract460)   HTML    PDF(pc) (298KB)(5079)       Save
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