Partisan US News Media Representations of Syrian Refugees

International Conference on Web and Social Media Pub Date : 2022-06-17 DOI:10.48550/arXiv.2206.09024

Keyu Chen, M. Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, M. Choudhury, Jonathan Y Huang, S. Yadav, Ashique Khudabukhsh, Preslav Nakov, C. Bauch, O. Papakyriakopoulos, K. Khoshnood, Navin Kumar

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引用次数: 6

Abstract

We investigate how representations of Syrian refugees (2011-2021) differ across US partisan news outlets. We analyze 47,388 articles from the online US media about Syrian refugees to detail differences in reporting between left- and right-leaning media. We use various NLP techniques to understand these differences. Our polarization and question answering results indicated that left-leaning media tended to represent refugees as child victims, welcome in the US, and right-leaning media cast refugees as Islamic terrorists. We noted similar results with our sentiment and offensive speech scores over time, which detail possibly unfavorable representations of refugees in right-leaning media. A strength of our work is how the different techniques we have applied validate each other. Based on our results, we provide several recommendations. Stakeholders may utilize our findings to intervene around refugee representations, and design communications campaigns that improve the way society sees refugees and possibly aid refugee outcomes.

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美国新闻媒体对叙利亚难民的报道

我们调查了叙利亚难民的代表(2011-2021)在美国党派新闻媒体上的差异。我们分析了47388篇来自美国在线媒体关于叙利亚难民的文章，详细分析了左倾和右倾媒体在报道上的差异。我们使用各种NLP技术来理解这些差异。我们的两极分化和问答结果表明，左倾媒体倾向于将难民描述为儿童受害者，欢迎美国，右倾媒体将难民描述为伊斯兰恐怖分子。随着时间的推移，我们的情绪和攻击性言论得分也出现了类似的结果，这些得分详细描述了右倾媒体对难民可能不利的表述。我们工作的一个优势是我们所应用的不同技术如何相互验证。基于我们的研究结果，我们提出了几点建议。利益相关者可以利用我们的研究结果来干预难民代表，并设计宣传活动，以改善社会看待难民的方式，并可能帮助难民的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Conference on Web and Social Media

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