文章基本信息

标题：Toxic Text in Personas: An Experiment on User Perceptions
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作者：Joni Salminen ; Soon-Gyo Jung ; João M.Santos 等
期刊名称：AIS Transactions on Human-Computer Interaction
印刷版ISSN：1944-3900
出版年度：2021
卷号：13
期号：4
页码：453-478
DOI：10.17705/1thci.00157
语种：English
出版社：Association for Information Systems
摘要：When algorithms create personas from social media data, the personas can become noxious via automatically including toxic comments. To investigate how users perceive such personas, we conducted a 2 × 2 user experiment with 496 participants that showed participants toxic and non-toxic versions of data-driven personas. We found that participants gave higher credibility, likability, empathy, similarity, and willingness-to-use scores to non-toxic personas. Also, gender affected toxicity perceptions in that female toxic data-driven personas scored lower in likability, empathy, and similarity than their male counterparts. Female participants gave higher perceptions scores to non-toxic personas and lower scores to toxic personas than male participants. We discuss implications from our research for designing data-driven personas.
关键词：Personas;Toxicity;Social Media;User Experiment