Understanding User Perception of Automated News Generation System

要旨

Automated journalism refers to the generation of news articles using computer programs. Although it is widely used in practice, its user experience and interface design remain largely unexplored. To understand the user perception of an automated news system, we designed NewsRobot, a research prototype that automatically generated news on major events of the PyeongChang 2018 Winter Olympic Games in real-time. It produces six types of news by combining two kinds of content (general/individualized) and three styles (text, text+image, text+image+sound). A total of 30 users participated in using NewsRobot, completing surveys and interviews on their experience. Our findings are as follows: (1) Users preferred individualized news yet considered it less credible, (2) more presentation elements were appreciated but only if their quality was assured, and (3) NewsRobot was considered factual and accurate yet shallow in depth. Based on our findings, we discuss implications for designing automated journalism user interfaces.

キーワード
Automated journalism
Robot journalism
Multimedia modality
automated news generation system
著者
Changhoon Oh
Carnegie Mellon University, Pittsburgh, PA, USA
Jinhan Choi
Seoul National University, Seoul, Republic of Korea
Sungwoo Lee
Seoul National University, Seoul, Republic of Korea
SoHyun Park
Seoul National University, Seoul, Republic of Korea
Daeryong Kim
Seoul National University, Seoul, Republic of Korea
Jungwoo Song
Seoul National University, Seoul, Republic of Korea
Dongwhan Kim
Yonsei University, Seoul, Republic of Korea
Joonhwan Lee
Seoul National University, Seoul, Republic of Korea
Bongwon Suh
Seoul National University, Seoul, Republic of Korea
DOI

10.1145/3313831.3376811

論文URL

https://doi.org/10.1145/3313831.3376811

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: (mis)Information & fake news

Paper session
316C MAUI
5 件の発表
2020-04-27 20:00:00
2020-04-27 21:15:00
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