Bias in Text Analysis for International Relations Research
Bias in Text Analysis for International Relations Research
复制标题
国际关系研究文本分析中的偏差
DOI：
10.1093/isagsq/ksac021
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Windsor, Leah C
中科院分区：
文献类型：
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作者：
Windsor, Leah C
政治文本分析研究有多国际化？在计算文本分析中，语料库选择严重倾向于英语来源，反映了西方的偏见，影响了国际政治研究的范围、解释和概括性。例如，语料库选择偏差会影响我们对联盟和结盟、专制政权的内部动态、条约的持久性、种族灭绝的发生以及非国家行为体群体的形成和解散的理解。然而，在语料库生产的整个“价值链”中，存在影响研究成果和我们对世界事物得出结论的问题。我确定了与政治现象话语分析相关的数据生成过程中的三个问题：导致语料库选择和分析偏差的信息不足；文件准备方面的问题，例如非英语语料库的可用性和质量；语言学家分析管道的缺口。激励这一议程的短期干预措施包括专门的期刊问题、会议讲习班以及指导和培训学生用这种方法学习国际关系。这些问题的长期解决方案包括促进多学科合作，训练学生的计算话语方法，提高外语能力，以及全球地区的合作，这可能有助于学者通过主要文献了解更多关于全球问题的信息。
How international is political text-analysis research? In computational text analysis, corpus selection skews heavily toward English-language sources and reflects a Western bias that influences the scope, interpretation, and generalizability of research on international politics. For example, corpus selection bias can affect our understanding of alliances and alignments, internal dynamics of authoritarian regimes, durability of treaties, the onset of genocide, and the formation and dissolution of non-state actor groups. Yet, there are issues along the entire “value chain” of corpus production that affect research outcomes and the conclusions we draw about things in the world. I identify three issues in the data-generating process pertaining to discourse analysis of political phenomena: information deficiencies that lead to corpus selection and analysis bias; problems regarding document preparation, such as the availability and quality of corpora from non-English sources; and gaps in the linguist analysis pipeline. Short-term interventions for incentivizing this agenda include special journal issues, conference workshops, and mentoring and training students in international relations in this methodology. Longer term solutions to these issues include promoting multidisciplinary collaboration, training students in computational discourse methods, promoting foreign language proficiency, and co-authorship across global regions that may help scholars to learn more about global problems through primary documents.