ABSTRACT
The large number of social platforms developed enable users to express their opinions and access information more freely. However, their algorithmic strategies can have a high possibility of exacerbating a filter bubble or echo chambers which may evoke distinctive emotions response with others. Herein, we present a new online visualization tool for opinion sharing, called CrowdForest, which allows users to visualize their opinions, interacting with others based on semantic figurative metaphors driven by sentiment analysis.
- Christopher A Bail, Lisa P Argyle, Taylor W Brown, John P Bumpus, Haohan Chen, MB Fallin Hunzaker, Jaemin Lee, Marcus Mann, Friedolin Merhout, and Alexander Volfovsky. 2018. Exposure to opposing views on social media can increase political polarization. Proceedings of the National Academy of Sciences 115, 37 (2018), 9216--9221.Google ScholarCross Ref
- Kristin A Cook and James J Thomas. 2005. Illuminating the path: The research and development agenda for visual analytics. Technical Report. Pacific Northwest National Lab.(PNNL), Richland, WA (United States).Google Scholar
- Pedro Miguel Amaral Melo da Cruz. 2016. Semantic figurative metaphors in information visualization. Ph.D. Dissertation.Google Scholar
- Siamak Faridani, Ephrat Bitton, Kimiko Ryokai, and Ken Goldberg. 2010. Opinion Space: A Scalable Tool for Browsing Online Comments. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI '10). Association for Computing Machinery, New York, NY, USA, 1175--1184. https://doi.org/10.1145/1753326.1753502Google ScholarDigital Library
- Mingkun Gao, Hyo Jin Do, and Wai-Tat Fu. 2017. An intelligent interface for organizing online opinions on controversial topics. In Proceedings of the 22nd International Conference on Intelligent User Interfaces. 119--123.Google ScholarDigital Library
- Kostiantyn Kucher, Maria Skeppstedt, and Andreas Kerren. 2018. Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts. In Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (Växjö, Sweden) (VINCI '18). Association for Computing Machinery, New York, NY, USA, 102--103. https://doi.org/10.1145/3231622.3232505Google ScholarDigital Library
- George Lakoff. 1993. The contemporary theory of metaphor. (1993).Google Scholar
- Benjamin Marlin. 2004. Collaborative filtering: A machine learning perspective. University of Toronto Toronto.Google Scholar
- M. McPherson, L. Smith-Lovin, and J. M. Cook. 2001. Birds of a feather: homophily in social networks. Annual review of sociolog. Annual Review of Sociology 27 (Aug. 2001), 415--444. https://doi.org/10.1146/annurev.soc.27.1.415Google ScholarCross Ref
- T. Steger. 2017. The Stories Metaphors Tell: Metaphors as a Tool to Decipher Tacit Aspects in Narratives. Field Methods 19, 1 (2017), 3--23. https://doi.org/doi:10.1177/1525822x06292788Google ScholarCross Ref
Index Terms
- CrowdForest: A Visualization Tool for Opinion Sharing based-on Semantic Figurative Metaphors
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