Identification of landscape preferences by using social media analysis

Ankit Rai, Barbara S Minsker, Jana Diesner, Karrie Karahalios, Yicheng Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

People attribute different values to landscapes. These values are due to people's preferences, which are shaped by aesthetics, recreational benefits, safety, and other features of landscapes. Classic methods for studying landscape preferences include surveys and questionnaires, where study participants score or evaluate photos. Since almost 70% of US adults use social media to connect with friends and families, or to follow news and topics of interest (Pew research, 2015), research is needed to identify whether social media postings provide useful information about preferences for landscape settings. In this paper, we label text comments from Flickr, Instagram, and Twitter to train a lexicon-based sentiment classification model for predicting people's sentiments about green infrastructures, which are a specific landscape element. The results show a 77% correlation between text based sentiments from social media and image based landscape preferences.

Original languageEnglish (US)
Title of host publicationProceedings - 3rd International Workshop on Social Sensing, SocialSens 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages44-49
Number of pages6
ISBN (Electronic)9781538661659
DOIs
StatePublished - May 25 2018
Event3rd International Workshop on Social Sensing, SocialSens 2018 - Orlando, United States
Duration: Apr 17 2018 → …

Publication series

NameProceedings - 3rd International Workshop on Social Sensing, SocialSens 2018

Other

Other3rd International Workshop on Social Sensing, SocialSens 2018
CountryUnited States
CityOrlando
Period4/17/18 → …

Keywords

  • Crowd sourcing
  • Green infrastructure
  • Landscape preference
  • Machine learning
  • Sentiment analysis
  • Social media

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Media Technology
  • Social Psychology
  • Communication

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  • Cite this

    Rai, A., Minsker, B. S., Diesner, J., Karahalios, K., & Sun, Y. (2018). Identification of landscape preferences by using social media analysis. In Proceedings - 3rd International Workshop on Social Sensing, SocialSens 2018 (pp. 44-49). (Proceedings - 3rd International Workshop on Social Sensing, SocialSens 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SocialSens.2018.00021