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

Published: 17 March 2020 Publication 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.

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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/10.1145/1753326.1753502
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  • (2021)Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularizationElectronic Markets10.1007/s12525-021-00492-132:1(101-121)Online publication date: 7-Sep-2021

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    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
    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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    Published: 17 March 2020

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    Author Tags

    1. NLP interface
    2. Opinion discussion
    3. Semantic Figurative Metaphors
    4. Sentiment analysis

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    • (2021)Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularizationElectronic Markets10.1007/s12525-021-00492-132:1(101-121)Online publication date: 7-Sep-2021

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