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    Journal of Northeastern University(Social Science)    2007, 9 (5): 388-392.   DOI: -
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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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    Journal of Northeastern University(Social Science)    2007, 9 (5): 461-465.   DOI: -
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    Journal of Northeastern University(Social Science)    2008, 10 (6): 501-504.   DOI: -
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    Journal of Northeastern University(Social Science)    2007, 9 (1): 16-19.   DOI: -
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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
    Abstract1170)   HTML    PDF(pc) (940KB)(5627)       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)    2012, 14 (1): 90-94.   DOI: -
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    Journal of Northeastern University(Social Science)    2006, 8 (1): 42-47.   DOI: -
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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)(5173)       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)    2000, 2 (1): 47-49.   DOI: -
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    Journal of Northeastern University(Social Science)    2005, 7 (6): 458-460.   DOI: -
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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
    Abstract833)   HTML    PDF(pc) (806KB)(5139)       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)    2011, 32 (5): 416-420+425.   DOI: -
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    Journal of Northeastern University(Social Science)    2011, 13 (6): 527-533.   DOI: -
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    Journal of Northeastern University(Social Science)    2011, 13 (4): 356-361.   DOI: -
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    Journal of Northeastern University(Social Science)    2012, 14 (3): 230-233.   DOI: -
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    Norm Activation Model: An Effective Theoretical Model for Predicting Citizens' Pro-environmental Behaviors
    ZHANG Xiao-jie, JIN Hui-rong, LOU Cheng-wu
    Journal of Northeastern University(Social Science)    2016, 18 (6): 610-615.   DOI: 10.15936/j.cnki.1008-3758.2016.06.010
    Abstract2006)   HTML    PDF(pc) (994KB)(4723)       Save
    Norm activation model (NAM) is an important theory to study various kinds of altruistic behaviors, which claims that an individuals pro-social behaviors are positively affected by his or her personal norm that is activated by consequence awareness and responsibility ascription. Widely applied to study such pro-social behaviors as pro-environmental behaviors in the western developed countries, NAM has been proved to effectively explain and predict pro-environmental behaviors. It has been continuously developed in its applications, with new variables added to the model and the value-belief-norm theory finally built. Due to its easy operability, openness and inclusiveness, NAM can be used to explain, predict and intervene the Chinese citizens pro-environmental behaviors.
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    Journal of Northeastern University(Social Science)    2008, 10 (4): 319-326.   DOI: -
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    Journal of Northeastern University(Social Science)    2004, 6 (2): 135-137.   DOI: -
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