Multilingual news article similarity dataset
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This dataset contains the extended version of the authors' earlier work: https://zenodo.org/records/6507872, where pairs of news articles drawn from the first half of 2020 are annotated for seven aspects of similarity in the original version as well as an additional FRAME aspect: GEO: How similar is the geographic focus (places, cities, countries, etc.) of the two articles? ENT: How similar are the named entities (e.g., people, companies, organizations, products, named living beings), excluding previously considered locations appearing in the two articles? TIME Are the two articles relevant to similar time periods or describing similar time periods? NAR How similar are the narrative schemas presented in the two articles? OVERALL Overall, are the two articles covering the same substantive news story? (excluding style, framing, and tone) STYLE Do the articles have similar writing styles? TONE Do the articles have similar tones? FRAME Do the articles have similar framing and express similar opinions?
本数据集为作者前期研究工作的扩展版本,其原始研究的链接为:https://zenodo.org/records/6507872。 原始版本中,研究人员针对2020年上半年采集的新闻文章对,从7个相似度维度进行标注;本次扩展版本新增了FRAME(报道框架)维度,各维度的具体定义如下: GEO(地理关注度,Geographic Focus):两篇新闻文章的地理关注点(地点、城市、国家等)相似度如何? ENT(命名实体,Named Entities):两篇文章中的命名实体(如人物、公司、组织、产品、知名生命体)相似度如何?此处排除两篇文章中已出现的地理位置。 TIME(时间相关性,Time Relevance):两篇文章是否涉及相似的时间段,或描述了相近的时间周期? NAR(叙事模式,Narrative Schemas):两篇文章所呈现的叙事框架相似度如何? OVERALL(整体内容相似度,Overall Substantive Similarity):总体而言,两篇文章是否围绕同一实质性新闻事件展开?(不包含写作风格、报道框架与语调) STYLE(写作风格,Writing Style):两篇文章的写作风格是否相似? TONE(语调风格,Tone):两篇文章的语调是否相似? FRAME(报道框架与观点表达,Framing and Opinion Expression):两篇文章是否采用相似的报道框架,且表达了相近的观点?



