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CrowdForest: A Visualization Tool for Opinion Sharing based-on Semantic Figurative Metaphors

Published:17 March 2020Publication History

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.

References

  1. 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 ScholarGoogle ScholarCross RefCross Ref
  2. 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 ScholarGoogle Scholar
  3. Pedro Miguel Amaral Melo da Cruz. 2016. Semantic figurative metaphors in information visualization. Ph.D. Dissertation.Google ScholarGoogle Scholar
  4. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  5. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  6. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  7. George Lakoff. 1993. The contemporary theory of metaphor. (1993).Google ScholarGoogle Scholar
  8. Benjamin Marlin. 2004. Collaborative filtering: A machine learning perspective. University of Toronto Toronto.Google ScholarGoogle Scholar
  9. 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 ScholarGoogle ScholarCross RefCross Ref
  10. 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 ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
      March 2020
      153 pages
      ISBN:9781450375139
      DOI:10.1145/3379336

      Copyright © 2020 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 17 March 2020

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      Overall Acceptance Rate746of2,811submissions,27%

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