999 resultados para Discriminatory language


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Discriminatory language became an important social issue in the west in the late twentieth century, when debates on political correctness and minority rights focused largely on the issue of respect in language. Japan is often criticized for having made only token attempts to address this issue. This paper investigates how one marginalized group—people with disabilities—has dealt with discriminatory and disrespectful language. The debate has been played out in four public spaces: the media, the law, literature, and the Internet. The paper discusses the kind of language, which has generated protest, the empowering strategies of direct action employed to combat its use, and the response of the media, the bureaucracy, and the literati. Government policy has not kept pace with social change in this area; where it exists at all, it is often contradictory and far from clear. I argue that while the laws were rewritten primarily as a result of external international trends, disability support groups achieved domestic media compliance by exploiting the keen desire of media organizations to avoid public embarrassment. In the absence of language policy formulated at the government level, the media effectively instituted a policy of self-censorship through strict guidelines on language use, thereby becoming its own best watchdog. Disability support groups have recently enlisted the Internet as an agent of further empowerment in the ongoing discussion of the issue.

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In contemporary societies there are different ways to perceive the relation between identity and alterity and to describe the difference between “us” and “them”, residents and foreigners. Anthropologist Sandra Wallman sustains that in multi-cultural urban spaces the frontiers of diversity are not only burdensome markers of identity, but rather they could also represent new chances to define “identity” and “alterity”. These frontiers, in fact, can work like interfaces through which to build time after time, in a creative way, a relationship with the other. From this point of view, the concept of boundary can offer many opportunities to creatively define the relation with the other and to sign new options for cognitive and physical movement. On the other side, in many cases we have a plenty of mechanisms of exclusion that transforms a purely empirical distinction between “us” and “them” in an ontological contrast, as in the case when the immigrant undergoes hostilities through discriminatory language. Even though these forms of racism are undoubtedly objectionable from a theoretical point of view, they are anyway socially “real”, in the sense that they are perpetually reaffirmed and strengthened in public opinion. They are in fact implicit “truths”, realities that are considered objective, common opinions that are part of day-to-day existence. That is the reason why an anthropological prospective including the study of “common sense” should be adopted in our present day studies on migration, as pointed out by American anthropologist Michael Herzfeld. My primary goal is to analyze with such a critical approach same pre-conditions of racism and exclusion in contemporary multi-cultural urban spaces. On the other hand, this essay would also investigate positive strategies of comparing, interchanging, and negotiating alterity in social work. I suggest that this approach can offer positive solutions in coping with “diversity” and in working out policies for recognizing a common identity which, at the same time, do not throw away the relevance of political and economic power.

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Este trabajo de investigación tiene como objetivo evidenciar la reproducción de estereotipos de género a través del lenguaje en los estudiantes de jurisprudencia en el periodo marzo julio 2014. La metodología utilizada fue a partir de la observación, la aplicación de una encuesta, historias de vida y grupos focales; herramientas de metodología cualitativa aplicadas a los y las estudiantes. Contiene 4 capítulos, el primero habla del contexto histórico de las relaciones asimétricas entre hombres y mujeres desde una visión género, el segundo capítulo aborda el importante papel que juega el lenguaje en la reproducción de estereotipos de género, en el tercer capítulo se realiza el análisis correspondiente al trabajo de campo cuyo análisis permite que en el cuarto capítulo se elabore una propuesta para generar estrategias que permitan establecer cambios en las relaciones entre estudiantes y la comunidad universitaria en general respecto al tema de género. Esta investigación confirma la presencia de comportamientos androcéntricos que derivan en estereotipos de género, uso de un lenguaje sexista y discriminatorio entre los y las estudiantes de la Facultad de Jurisprudencia de la Universidad de Cuenca en el período lectivo antes señalado.

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In the era of Web 2.0, huge volumes of consumer reviews are posted to the Internet every day. Manual approaches to detecting and analyzing fake reviews (i.e., spam) are not practical due to the problem of information overload. However, the design and development of automated methods of detecting fake reviews is a challenging research problem. The main reason is that fake reviews are specifically composed to mislead readers, so they may appear the same as legitimate reviews (i.e., ham). As a result, discriminatory features that would enable individual reviews to be classified as spam or ham may not be available. Guided by the design science research methodology, the main contribution of this study is the design and instantiation of novel computational models for detecting fake reviews. In particular, a novel text mining model is developed and integrated into a semantic language model for the detection of untruthful reviews. The models are then evaluated based on a real-world dataset collected from amazon.com. The results of our experiments confirm that the proposed models outperform other well-known baseline models in detecting fake reviews. To the best of our knowledge, the work discussed in this article represents the first successful attempt to apply text mining methods and semantic language models to the detection of fake consumer reviews. A managerial implication of our research is that firms can apply our design artifacts to monitor online consumer reviews to develop effective marketing or product design strategies based on genuine consumer feedback posted to the Internet.

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In many languages, masculine generics are the traditional way of referring to women and men. However, gender-fair forms (e.g., feminine-masculine word pairs) can enhance gender equality: for instance, they counteract male biases in mental associations (Stahlberg et al., 2007) and evoke more neutral perceptions of gender-stereotypical professions (Merkel et al., 2013). Compared to masculine forms, use of gender-fair language in advertisements for leadership positions also helps to achieve gender equality in hiring decisions (e.g., use of German Geschäftsführerin/Geschäftsführer 'CEO fem/masc' instead of Geschäftsführer 'CEO masc', cf. Horvath & Sczesny, 2012). The present research investigates how potential applicants react to the use of gender-fair vs. masculine forms in German job ads for leadership positions (Study 1) and how the respective organization is perceived in response to these forms (Study 2). In Study 1, 251 participants showed higher intentions to apply for a leadership position when it was advertised with a feminine-masculine word pair instead of a masculine form; this was mediated by job appeal and organizational attraction. In Study 2, 154 participants perceived the organization as more discriminatory when masculine forms were used. This was mediated by the organizational image of gender equality. Thus, gender-fair language affects the social perception of a job and the respective organization and can impact social behavior in an organizational context.

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Metaphor is a multi-stage programming language extension to an imperative, object-oriented language in the style of C# or Java. This paper discusses some issues we faced when applying multi-stage language design concepts to an imperative base language and run-time environment. The issues range from dealing with pervasive references and open code to garbage collection and implementing cross-stage persistence.

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Language is a unique aspect of human communication because it can be used to discuss itself in its own terms. For this reason, human societies potentially have superior capacities of co-ordination, reflexive self-correction, and innovation than other animal, physical or cybernetic systems. However, this analysis also reveals that language is interconnected with the economically and technologically mediated social sphere and hence is vulnerable to abstraction, objectification, reification, and therefore ideology – all of which are antithetical to its reflexive function, whilst paradoxically being a fundamental part of it. In particular, in capitalism, language is increasingly commodified within the social domains created and affected by ubiquitous communication technologies. The advent of the so-called ‘knowledge economy’ implicates exchangeable forms of thought (language) as the fundamental commodities of this emerging system. The historical point at which a ‘knowledge economy’ emerges, then, is the critical point at which thought itself becomes a commodified ‘thing’, and language becomes its “objective” means of exchange. However, the processes by which such commodification and objectification occurs obscures the unique social relations within which these language commodities are produced. The latest economic phase of capitalism – the knowledge economy – and the obfuscating trajectory which accompanies it, we argue, is destroying the reflexive capacity of language particularly through the process of commodification. This can be seen in that the language practices that have emerged in conjunction with digital technologies are increasingly non-reflexive and therefore less capable of self-critical, conscious change.

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Enterprise Application Integration (EAI) is a challenging area that is attracting growing attention from the software industry and the research community. A landscape of languages and techniques for EAI has emerged and is continuously being enriched with new proposals from different software vendors and coalitions. However, little or no effort has been dedicated to systematically evaluate and compare these languages and techniques. The work reported in this paper is a first step in this direction. It presents an in-depth analysis of a language, namely the Business Modeling Language, specifically developed for EAI. The framework used for this analysis is based on a number of workflow and communication patterns. This framework provides a basis for evaluating the advantages and drawbacks of EAI languages with respect to recurrent problems and situations.