Posted: June 23, 2015 at 9:25 am, Last Updated: January 27, 2017 at 3:25 pm
Network of connections between major clusters of hashtags (Feb. 1st – March 20th, 2015)
Visitors to our site might be interested in our latest paper entitled “Using Twitter Content to Crowdsource Opinions on Tanning in the United States” which was recently published in Kartographische Nachrichten. Below you can read the abstract of the paper.
Social media content provides direct and indirect locational information. However, simply mapping media content such as Twitter posts will only provide a limited scope on the social media conversation. Assessing geotagged conversations needs to be combined with analyzing content and network structures including their dynamics. This research provides a set of structured methods towards filtering Twitter messages to remove unrelated content and better understand a public discussion. The approach is applied towards crowdsourced opinions on tanning in the United States and highlights that creating choropleth maps from unprocessed Twitter data will give a limited view on public health conversations. Cluster dendrograms and the network focused Louvain unsupervised community detection algorithm were applied on a subset of over 25 million tanning related tweets, collected over a six week period. The research results show advertising and spamming clusters of tanning-related social media tweets, but also public discussions that relate to skin cancer and melanoma health concerns, fashion and beauty. n
Keywords: Crowdsourcing, Social Media, Ambient Geographic Information, VGI, Melanoma
Dendrogram built by clustering words from term-document matrix for the tanning tweets (Feb. 1st – March 20th, 2015)
Skin cancer discussions on Twitter (Feb. 1st – March 20th, 2015)
Full Reference:
Radzikowski, J. R., Hollen, H. and Fuhrmann, S. (2015), Using Twitter Content to Crowdsource Opinions on Tanning in the United States, Kartographische Nachrichten. 2015(3): 131-138 (pdf)
