太阳成8722(中国)有限公司-GREEN NO.1

标题: Quantifying the bias in place emotion extracted from photos on social networking sites: A case study on a university campus

作者: Huang, YJ (Huang, Yingjing); Li, J (Li, Jun); Wu, GF (Wu, Guofeng); Fei, T (Fei, Teng)

来源出版物: CITIES 卷: 102 文献号: UNSP 102719 DOI: 10.1016/j.cities.2020.102719 出版年: JUL 2020

摘要: Various fields have widely used place emotion extracted from social networking sites (SNS) information in recent years. However, the emotional information may contain biases as users are a particular subset of the whole population. This research studies whether there are significant differences between place emotion extracted from SNS and the place in-situ (a campus of Wuhan University). Two datasets from different sources, Weibo (a platform similar to twitter) and in-situ cameras, are collected over the same time periods in the same geographical range. By utilizing online cognitive services on the photos collected, the diversity of people with a recognizable face in terms of age, gender, and emotions are determined. The results suggest that there are significant differences in place emotion extracted from Weibo and in-situ. Furthermore, the pattern of differences varies among diverse demographic groups. This paper quantitatively contrasts place emotion extracted from SNS and the place in-situ, which can help researchers achieve a more profound understanding of human behavior differences between online and offline place emotion. This research also provides a theoretical basis to calibrate the emotion metrics obtained from SNS facial expressions on future place emotion studies.

入藏号: WOS:000534585300019

语言: English

文献类型: Article

作者关键词: Place emotion; Affective computing; User-generated content; Weibo

地址: [Huang, Yingjing; Li, Jun; Fei, Teng] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Wu, Guofeng] Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, 3688 Nanhai Ave, Shenzhen 518060, Peoples R China.

[Wu, Guofeng] Shenzhen Univ, Guangdong Key Lab Urban Informat, 3688 Nanhai Ave, Shenzhen 518060, Peoples R China.

[Wu, Guofeng] Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, 3688 Nanhai Ave, Shenzhen 518060, Peoples R China.

通讯作者地址: Fei, T (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址: huangyingjing@whu.edu.cn; leejun@whu.edu.cn; guofeng.wu@szu.edu.cn; feiteng@whu.edu.cn

影响因子：3.853