Understanding People's Needs in Viewing Diverse Social Opinions about Controversial Topics

被引:1
|
作者
Song, Hayeong [1 ]
Qi, Zhengyang [2 ]
Stasko, John [1 ]
Yang, Diyi [3 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[3] Stanford Univ, Stanford, CA 94305 USA
关键词
Human-centered computing; Visualization; Online communities; Discourse analysis; Formative study; TEXT COLLECTIONS; ONLINE;
D O I
10.1109/PacificVis56936.2023.00008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Social media (i.e., Reddit) users are overloaded with people's opinions when viewing discourses about divisive topics. Traditional user interfaces in such media present those opinions in a linear structure, which can limit users in viewing diverse social opinions at scale. Prior work has recognized this limitation, that the linear structure can reinforce biases, where a certain point of view becomes widespread simply because many viewers seem to believe it. This limitation can make it difficult for users to have a truly conversational mode of mediated discussion. Thus, when designing a user interface for viewing people's opinions, we should consider ways to mitigate selective exposure to information and polarization of opinions. We conducted a needs-finding study with 11 Reddit users, who follow climate change threads and make posts and comments regularly. In the study, we aimed to understand key limitations in people viewing online controversial discourses and to extract design implications to address these problems. Our findings discuss potential future directions to address these problems.
引用
收藏
页码:6 / 10
页数:5
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