NewsComp: Facilitating Diverse News Reading through Comparative Annotation

NewsComp: Facilitating Diverse News Reading through Comparative Annotation
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NewsComp:通过比较注释促进多元化新闻阅读

DOI:
10.1145/3544548.3581244
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发表时间:
2023
期刊:
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Mitra, Tanushree
Mitra, Tanushree
中科院分区:
--
文献类型:
--
作者:
Bhuiyan, Md Momen;Lee, Sang Won;Goyal, Nitesh;Mitra, Tanushree

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为了支持高效、平衡的新闻消费,将来自不同来源的文章合并为一个,可能会通过众包的方式,可能会减少一些障碍。然而,合并过程也可能影响注释者对内容的态度。为了验证这一理论,我们提出了新闻比较性注释,即注释两篇文章之间的异同。通过开发和部署NewsComp-一个原型系统-我们进行了一个主题间实验(N=109.),以考察用户的注释与专家的注释如何比较,以及比较注释如何影响用户对文章可信度和质量的感知。我们发现,在某些情况下,比较标注可以轻微地影响用户的可信度感知;它不会影响用户对质量的感知。虽然用户的注释不能与专家的注释相提并论,但它们在寻找相似性方面比在识别不同的重要陈述方面表现出更高的精确度。比较过程还导致用户注意到信息的放置和深度、真实性/观点的程度以及同理心/煽动性语言的使用方面的差异。我们讨论了对未来比较注解任务的设计的启示。
To support efficient, balanced news consumption, merging articles from diverse sources into one, potentially through crowdsourcing, could alleviate some hurdles. However, the merging process could also impact annotators’ attitudes towards the content. To test this theory, we propose comparative news annotation; that is, annotating similarities and differences between a pair of articles. By developing and deploying NewsComp—a prototype system—we conducted a between-subjects experiment (N = 109) to examine how users’ annotations compare to experts’, and how comparative annotation affects users’ perceptions of article credibility and quality. We found that comparative annotation can marginally impact users’ credibility perceptions in certain cases; it did not impact perceptions of quality. While users’ annotations were not on par with experts’, they showed greater precision in finding similarities than in identifying disparate important statements. The comparison process also led users to notice differences in information placement and depth, degree of factuality/opinion, and empathetic/inflammatory language use. We discuss implications for the design of future comparative annotation tasks.
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