Planning and social media: A case study of public transit and stigma on twitter

Journal of the American Planning Association

Volumn 80, Issue 3, 2014, Pages 218-238

  Schweitzer, Lisa ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Planning ethics; Public transit; Racism; Sexism; Social media

Indexed keywords

ETHICS; PUBLIC SERVICE; PUBLIC TRANSPORT; RACISM; SOCIAL NETWORK; TRANSPORTATION PLANNING;

EID: 84919388905     PISSN: 01944363     EISSN: None     Source Type: Journal    
DOI: 10.1080/01944363.2014.980439     Document Type: Article

References (5)

1. Batyrshin, I., González Mendoza, M., Sidorov, G., Miranda-Jiménez, S., Viveros-Jiménez, F., Gelbukh, A., Gordon, J. (2013). Empirical study of machine learning based approach for opinion mining in tweets. Lecture Notes in Computer Science: Advances in Artifi cial Intelligence, 7629, 1-14. doi:10.1007/978-3-642-37807-2
2. Gentry, J. (2011). twitteR: R based Twitter clien.(R package version 0.99.9). Retrieved from http://CRAN.R-project.org/package=twitteR
3. Hu, M., & Liu, B. (2004, August). Mining and summarizing customer reviews. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004, full paper), Seattle, WA.
4. R Development Core Team. (2011). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.R-project.org/
5. Twitter. (2014). Using the Twitter API. Retrieved from https://dev.twitter.com/docs/using-search