Hate Speech in The Context of Digital Violence in Türkiye: Perceptions and Biases on Afghan Identity

Özlem Özdeşim SUBAY, Burak GÖKALP
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Abstract

According to the data of the Presidency of Migration Management (2021), the largest group of irregular migrants detected in Turkey in 2021 are Afghans. The arrival of irregular migrants from Afghanistan to Turkey after the Syrian refugees have caused a reaction in society and from the opposition parties. Based on this reaction to the arrival of Afghan refugees, it can be claimed that it has the potential to become the new "other" category in Turkey. We identify two hashtags used on Twitter to protest the arrival of Afghans, which are #sınırnamustur and #hudutnamustur having the same meaning in Turkish and are Trend Topics on Twitter. The purpose of this study is to examine why there are two hashtags on Twitter to protest the arrival of Afghan immigrants, what the differences and similarities are between them, how Afghans are defined and what kinds of hate speech they are subject to. For this purpose, Craswell's mixed model is applied in this study using both content analysis and social network analysis techniques.
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阿富汗数字暴力背景下的仇恨言论:对阿富汗身份的认知与偏见
根据移民管理主席团(2021年)的数据,2021年在土耳其发现的最大非法移民群体是阿富汗人。在叙利亚难民之后,从阿富汗到土耳其的非法移民的到来引起了社会和反对党的反应。根据对阿富汗难民到来的这种反应,可以声称它有可能成为土耳其新的“其他”类别。我们在推特上发现了两个用来抗议阿富汗人到来的标签,分别是#sınırnamustur和#hudutnamustur,它们在土耳其语中具有相同的含义,是推特上的趋势话题。这项研究的目的是研究为什么Twitter上有两个标签来抗议阿富汗移民的到来,它们之间有什么不同和相似之处,阿富汗人是如何定义的,以及他们受到什么样的仇恨言论的影响。为此,本研究采用了Craswell的混合模型,同时使用了内容分析和社会网络分析技术。
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