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User Ethnicity and Gender as Predictors of Attitudes to Ethnic Groups in Social Media Texts

机译:用户种族和性别是社交媒体文本中对族裔态度的预测指标

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Out-group bias in the context of race and ethnicity has been widely studied. However, little research has been done to study this phenomenon online. In this paper we explore how ethnicity and gender of Russian social media users affects their attitude toward other ethnic groups. Out results show that ethnicity of social media users plays a significant role in their attitude towards ethnic groups. On the average social media users tend to experience more positive attitude to the ethnic groups they belong to, but there are some exceptions—Russians and Tatars. Gender also influence the attitude insofar as men expressed stronger negative emotions toward foreign peoples.
机译:种族和族裔背景下的群体外偏见已得到广泛研究。但是,很少有研究来在线研究此现象。在本文中,我们探讨了俄罗斯社交媒体用户的种族和性别如何影响他们对其他种族的态度。结果表明,社交媒体用户的种族在他们对待族群的态度中起着重要作用。平均而言,社交媒体用户倾向于对他们所属的族群有更积极的态度,但是也有一些例外,例如俄罗斯人和Ta人。在男人对外国人表达更强烈的消极情绪方面,性别也影响了态度。

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