青少年网络写作行为建模:社交媒体上非标准写作的社会计量

IF 0.4 4区 文学 0 LANGUAGE & LINGUISTICS Zeitschrift Fur Dialektologie Und Linguistik Pub Date : 2020-01-01 DOI:10.25162/zdl-2020-0007
Lisa Hilte, R. Vandekerckhove, Walter Daelemans
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引用次数: 6

摘要

本文讨论了四种广义线性混合模型,以捕捉佛兰德青少年社交媒体信息中不同的非标准写作行为模式。除了预测所有与荷兰正式写作标准“偏差”数量的一般模型外,还为特定类型的非标准特征拟合了额外的模型。这些类型与所谓的聊天语言“格言”有关,即口头、简洁和表达补偿。虽然一般的非标准模型揭示了青少年在线写作风格和他们的社会人口特征之间有趣的相关性,但更具体的模型允许更好、更细致的社会语言学理解:对于不同类型的非标准写作实践,它们揭示了性别、年龄和教育轨迹之间不同的社会预测因素。代表传统非标准写作的口头特征与代表新型非标准写作、与数字媒体相结合的表达特征的性别模式明显不同。此外,性别似乎不是简洁相关特征的预测因素,除了最注重理论的教育轨迹。因此,我们认为,社交媒体平台上的非标准写作不应被视为偏离正式写作标准的一个综合集群,而应被视为非标准特征的不同子集,这些特征通过服务于不同的目的,在不同程度上吸引不同的青少年群体,从而显示出不同的社会语言学模式。换句话说,虽然佛兰德的青少年可能有相同的非标准标记,但他们并没有共享一个相同的社会“数字”。
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Modeling Adolescents’ Online Writing Practices: the Sociolectometry of Non-Standard Writing on Social Media
The paper discusses four generalized linear mixed models fitted to capture distinct patterns of non-standard writing practices in Flemish adolescents’ social media messages. Apart from a general model that predicts the count of all “deviations” from the Dutch formal writing standard, additional models were fitted for specific types of non-standard features. These types relate to the so-called chatspeak “maxims” of orality, brevity and expressive compensation. While the general non-standardness model reveals interesting correlations between the teenagers’ online writing style and their socio-demographic profile, the more specific models allow for a better and more nuanced sociolinguistic understanding: for different types of non-standard writing practices, they reveal distinct dynamics between the social predictors gender, age and educational track. Strikingly different gender patterns are found for the oral features, representing traditional non-standard writing, compared to the expressive features, representing new kinds of non-standard writing, bound to digital media. Furthermore, gender does not appear to be a predicting factor for the brevity-related features, except for the most theory-oriented educational track. Consequently, we argue that non-standard writing on social media platforms should not be operationalized as one comprehensive cluster of deviations from the formal writing standard, but rather as different subsets of non-standard features that, by serving different purposes, appeal to a different extent to different groups of youngsters and consequently display distinct sociolinguistic patterns. In other words, although Flemish adolescents may have access to the same pool of non-standard markers, they do not share one and the same social “digilect”.
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