论文标题
在报纸犯罪叙事中对内gui的主观评估
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives
论文作者
论文摘要
犯罪报告是一种普遍的新闻形式，具有塑造公众看法和社会政策的能力。这些报告的语言如何对读者作用？我们试图通过美国英语报纸的可疑犯罪故事的可疑犯罪故事来解决这个问题。因此，可疑的gu是关于语言选择如何影响主观内gui的判断的丰富图画。此外，我们使用可疑的gu训练和评估预测模型，并表明这些模型受益于文本级别评级和跨度级注释的流派预处理和联合监督。此类模型可以用作理解犯罪报告的社会影响的工具。
Crime reporting is a prevalent form of journalism with the power to shape public perceptions and social policies. How does the language of these reports act on readers? We seek to address this question with the SuspectGuilt Corpus of annotated crime stories from English-language newspapers in the U.S. For SuspectGuilt, annotators read short crime articles and provided text-level ratings concerning the guilt of the main suspect as well as span-level annotations indicating which parts of the story they felt most influenced their ratings. SuspectGuilt thus provides a rich picture of how linguistic choices affect subjective guilt judgments. In addition, we use SuspectGuilt to train and assess predictive models, and show that these models benefit from genre pretraining and joint supervision from the text-level ratings and span-level annotations. Such models might be used as tools for understanding the societal effects of crime reporting.
