Understanding the Digital Lives of Youth: Analyzing Media Shared within Safe Versus Unsafe Private Conversations on Instagram

被引:10
作者
Ali, Shiza [1 ]
Razi, Afsaneh [2 ]
Seunghyun, Kim [3 ]
Alsoubai, Ashwaq [2 ]
Gracie, Joshua [2 ]
De Choudhury, Munmun [3 ]
Wisniewski, Pamela J. [2 ]
Stringhini, Gianluca [1 ]
机构
[1] Boston Univ, Boston, MA 02215 USA
[2] Univ Cent Florida, Orlando, FL 32816 USA
[3] Georgia Inst Technol, Atlanta, GA 30332 USA
来源
PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22) | 2022年
基金
美国国家科学基金会;
关键词
Adolescents; Teens; Datasets; Instagram; unsafe private conversations; Image Analysis;
D O I
10.1145/3491102.3501969
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We collected Instagram Direct Messages (DMs) from 100 adolescents and young adults (ages 13-21) who then flagged their own conversations as safe or unsafe. We performed a mixed-method analysis of the media files shared privately in these conversations to gain human-centered insights into the risky interactions experienced by youth. Unsafe conversations ranged from unwanted sexual solicitations to mental health related concerns, and images shared in unsafe conversations tended to be of people and convey negative emotions, while those shared in regular conversations more often conveyed positive emotions and contained objects. Further, unsafe conversations were significantly shorter, suggesting that youth disengaged when they felt unsafe. Our work uncovers salient characteristics of safe and unsafe media shared in private conversations and provides the foundation to develop automated systems for online risk detection and mitigation.
引用
收藏
页数:14
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