The Experts below are selected from a list of 154302 Experts worldwide ranked by ideXlab platform

Christian Rauh - One of the best experts on this subject based on the ideXlab platform.

  • validating a sentiment dictionary for german Political Language a workbench note
    Journal of Information Technology & Politics, 2018
    Co-Authors: Christian Rauh
    Abstract:

    Automated sentiment scoring offers relevant empirical information for many Political science applications. However, apart from English Language resources, validated dictionaries are rare. T...

  • validating a sentiment dictionary for german Political Language a workbench note
    EconStor Open Access Articles, 2018
    Co-Authors: Christian Rauh
    Abstract:

    Automated sentiment scoring offers relevant empirical information for many Political science applications. However, apart from English Language resources, validated dictionaries are rare. This note introduces a German sentiment dictionary and assesses its performance against human intuition in parliamentary speeches, party manifestos, and media coverage. The tool published with this note is indeed able to discriminate positive and negative Political Language. But the validation exercises indicate that positive Language is easier to detect than negative Language, while the scores are numerically biased to zero. This warrants caution when interpreting sentiment scores as interval or even ratio scales in applied research.

  • Validating a sentiment dictionary for German Political Language—a workbench note
    EconStor Open Access Articles, 2018
    Co-Authors: Christian Rauh
    Abstract:

    Automated sentiment scoring offers relevant empirical information for many Political science applications. However, apart from English Language resources, validated dictionaries are rare. This note introduces a German sentiment dictionary and assesses its performance against human intuition in parliamentary speeches, party manifestos, and media coverage. The tool published with this note is indeed able to discriminate positive and negative Political Language. But the validation exercises indicate that positive Language is easier to detect than negative Language, while the scores are numerically biased to zero. This warrants caution when interpreting sentiment scores as interval or even ratio scales in applied research.

Lynn Visson - One of the best experts on this subject based on the ideXlab platform.

  • Terminology and ideology: Translating Russian Political Language
    Translation and Interpreting Studies, 2007
    Co-Authors: Lynn Visson
    Abstract:

    This article analyzes the rapid developments in Russian Political Language, or discourse, since the fall of the Soviet Union as they impact Russian>English interpreting. Specifically, the article focuses on the mixing of registers produced by the persistence of Soviet-era Language and the introduction of new influences, such as borrowings and criminal and marketing slang.

John A. A. Sillince - One of the best experts on this subject based on the ideXlab platform.

  • The Role of Political Language Forms and Language Coherence in the Organizational Change Process
    Organization Studies, 1999
    Co-Authors: John A. A. Sillince
    Abstract:

    This paper views organizational change from a linguistic perspective. Concepts are taken from the theory of speech acts, the theory of Political Language forms, and the theory of Language coherence and applied to two case studies of companies undergoing major organizational change. Two criteria for coherent Language use during organizational change are developed and illustrated empirically using two contrasting cases (which are re-interpreted from the extant literature). These cases are modelled sequentially in their own terms, one case forming five stages, the other forming four stages. The first case involves AT&T (Schlesinger et al. 1987), which satisfies the two criteria of coherent Language use. The second case, involving Chrysler (Moritz and Seaman 1981), does not satisfy these two criteria.

Ashley Balcazar - One of the best experts on this subject based on the ideXlab platform.

  • #Politicallyincorrect: The Pejoration of Political Language
    North Texas Journal of Undergraduate Research, 2019
    Co-Authors: Ashley Balcazar
    Abstract:

    How is the term “Political correctness” understood in the context of modern American politics, particularly in the context of the 2016 election? More specifically, what triggers perceived offensiveness in Political Language? At the crux of the matter is the distinction between oneself or one’s social group, those perceived as “the other,” and what one is and is not allowed to say in a social forum. This study aims to analyze common Language usage and identify factors contributing to the offensification of Political Language in social media and the types of Language in social media that trigger a sense of Political outrage. We examine Facebook and Twitter memes, using API searches referring directly to the terms “PC” or “Politically correct.” Dedoose, a text content-analysis package is used to identify recurring themes in online interactions that are used to criticize perceived Political enemies. Results show that themes primarily related to “feminism” and “redneck” reflect cross-cutting cleavages in the Political landscape primarily related to Hillary Clinton’s candidacy. We also identify significant cleavages in racial identity and quantify these statistically. Our results compliment other recent studies which aim to gauge the impact of social media on Political and social polarization.

Colin Teevan - One of the best experts on this subject based on the ideXlab platform.