The Geography and Importance of Localness in Geotagged Social Media

被引:38
|
作者
Johnson, Isaac L. [1 ]
Sengupta, Subhasree [1 ]
Schoning, Johannes [2 ]
Hecht, Brent [1 ]
机构
[1] Univ Minho, Dept Comp Sci, GroupLens Res, P-4719 Braga, Portugal
[2] Hasselt Univ, tUL, iMinds, Expertise Ctr Digital Media, Hasselt, Belgium
关键词
Geotagged social media; volunteered geographic information; localness; user-generated content; PATTERNS;
D O I
10.1145/2858036.2858122
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Geotagged tweets and other forms of social media volunteered geographic information (VGI) are becoming increasingly critical to many applications and scientific studies. An important assumption underlying much of this research is that social media VGI is "local", or that its geotags correspond closely with the general home locations of its contributors. We demonstrate through a study on three separate social media communities (Twitter, Flickr, Swarm) that this localness assumption holds in only about 75% of cases. In addition, we show that the geographic contours of localness follow important sociodemographic trends, with social media in, for instance, rural areas and older areas, being substantially less local in character (when controlling for other demographics). We demonstrate through a case study that failure to account for non-local social media VGI can lead to misrepresentative results in social media VGI-based studies. Finally, we compare the methods for determining localness, finding substantial disagreement in certain cases, and highlight new best practices for social media VGI-based studies and systems.
引用
收藏
页码:515 / 526
页数:12
相关论文
共 50 条
  • [41] Perceiving Beijing's "City Image" Across Different Groups Based on Geotagged Social Media Data
    Peng, Xia
    Bao, Yi
    Huang, Zhou
    IEEE ACCESS, 2020, 8 : 93868 - 93881
  • [42] Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data
    Zhu, Kaixin
    Cheng, Zhifeng
    Wang, Jianghao
    HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2024, 11 (01):
  • [43] Effectiveness of Non-Geotagged Social Media Data for Monitoring Visitor Experience in a National Park in Japan
    Kubota, Yutaka
    Miyasaka, Takafumi
    Kajikawa, Masahiro
    Oba, Akihiro
    Miyasaka, Katori
    SUSTAINABILITY, 2024, 16 (02)
  • [44] Detecting Urban Events by Considering Long Temporal Dependency of Sentiment Strength in Geotagged Social Media Data
    Jiang, Wei
    Wang, Yandong
    Xiong, Zhengan
    Song, Xiaoqing
    Long, Yi
    Cao, Weidong
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (05)
  • [45] Using Geotagged Social Media Data to Explore Sentiment Changes in Tourist Flow: A Spatiotemporal Analytical Framework
    Jiang, Wei
    Xiong, Zhengan
    Su, Qin
    Long, Yi
    Song, Xiaoqing
    Sun, Peng
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (03)
  • [46] Web Video Geolocation by Geotagged Social Resources
    Song, Yi-Cheng
    Zhang, Yong-Dong
    Cao, Juan
    Xia, Tian
    Li, Jin-Tao
    IEEE TRANSACTIONS ON MULTIMEDIA, 2012, 14 (02) : 456 - 470
  • [47] A nationwide dataset of de-identified activity spaces derived from geotagged social media data
    Poorthuis, Ate
    Chen, Qingqing
    Zook, Matthew
    ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2024, 51 (09) : 2264 - 2275
  • [48] G-Rol: Automatic Region-of-Interest Detection Driven by Geotagged Social Media Data
    Belcastro, Loris
    Marozzo, Fabrizio
    Talia, Domenico
    Trunfio, Paolo
    ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2018, 12 (03)
  • [49] The importance of social media on the FMCG market in Bangladesh
    Bednarz, Joanna
    Orelly, Patricia
    INTERNATIONAL JOURNAL OF MANAGEMENT AND ECONOMICS, 2020, 56 (03) : 230 - 242
  • [50] Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data
    Niu, Haifeng
    Silva, Elisabete A.
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2023, 100