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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/136339


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/136339


    Title: 基於多數決的不當訊息分析學習系統
    A majority-based learning system for analyzing misinformation
    Authors: 高翰君
    Kao, Han-Chun
    Contributors: 杜雨儒
    Tu, Yu-Ju
    高翰君
    Kao, Han-Chun
    Keywords: 不當訊息
    資訊系統
    機器學習
    假新聞
    業配文
    原生廣告
    抄襲文
    Misinformation
    Information system
    machine learning
    fake news
    advertorial
    native advertising
    plagiarism
    Date: 2021
    Issue Date: 2021-08-04 14:46:35 (UTC+8)
    Abstract: 自過去的十年以來，不當訊息的問題引起了人們的廣泛關注。 直到最近，這個問題變得比以往更具挑戰性，其中一原因來自於covid-19大流行在世界各地蔓延。 在這項研究中，我們表明不當訊息是由三個主要部分構成的：假新聞、業配文和抄襲文。 此外，本研究提出了一種系統，透過整合多種機器學習方法的優勢，以提高不當訊息自主檢測的性能。
    Since the past decade, the problem of misinformation has drawn considerable attention. Recently, this problem becomes much more challenging, largely because the covid-19 pandemic unfortunately spread around the world. In this study, we show that misinformation is constructed by three main components: fake news, advertorial and plagiarism. Furthermore, we propose a system to combine the strengths of multiple machine learning approaches to improve the performance of autonomous detection of misinformation.
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    Description: 碩士
    國立政治大學
    資訊管理學系
    108356004
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108356004
    Data Type: thesis
    DOI: 10.6814/NCCU202100686
    Appears in Collections:[Department of MIS] Theses

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