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博碩士論文 etd-0110122-204350 詳細資訊
Title page for etd-0110122-204350
論文名稱
Title
以推敲可能性模式探討訊息查證機器人的闢謠效果:以美玉姨為例
Investigating the Rumor Refuting Effect of Information Validating Robot based on Elaboration Likelihood Model: An example of Auntie Meiyu
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
79
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2022-01-28
繳交日期
Date of Submission
2022-02-10
關鍵字
Keywords
訊息查證機器人、論點品質、來源可信度、訊息幫助度、訊息可信度、立場一致性
Validating Robot, Argument Quality, Source Credibility, Information Helpfulness, Information Credibility, Position Consistency
統計
Statistics
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The thesis/dissertation has been browsed 404 times, has been downloaded 0 times.
中文摘要
隨著網際網路發展,訊息的傳遞變得迅速且全球化,不僅導致資訊誤傳的機率增加,惡意散播的錯假訊息出現頻率更是見長;此外,近年來社群媒體及行動網路興起,人們可隨時隨地透過社群媒體平台、聊天室接受各式各樣訊息,網路的匿名性及便利性、互動性改變以往的單向溝通模式,帶動自媒體時代出現,訊息的流通管道更加多元,而迴聲室效應則使扭曲的資訊容易被信以為真,再加上Deepfake等AI技術助長,使人們在接受及辨識真、偽訊息時更加吃力。
「美玉姨」LINE聊天機器人成立之構想,即是透過在Line群組中透過搜尋關鍵字及比對事實查核平台資料庫,發揮主動澄清之功能,本研究以ELM模型為基礎,以問卷蒐集之研究調查方法,試圖了解人們在接受闢謠訊息時的資訊處理模式與態度,並以立場一致性作為干擾變數,探討當收訊者立場與原訊息一致或不一致時對於可信度及幫助度的影響。研究結果顯示,美玉姨所提供澄清資訊之論點品質及來源可信度,正向影響闢謠訊息可信度及幫助度,而立場一致性會使收訊者在考量來源可信度對於闢謠訊息之幫助性時將造成一定程度改變。截至2021年1月為止,「美玉姨」LINE帳號追蹤人數已逾45萬人,顯見國內群眾對於虛假訊息已逐漸認識且重視,為此,本研究透過資料分析,期待能提供相關領域在未來發展時些許建議及研究方向。
Abstract
With the growth of the Internet, the transmission of information has become rapid and globalized, leading not only to an increase in the chance of misinformation, but also to an upsurge in the frequency of malicious and false information. In addition, with the rise of social media and mobile networks in recent years, people can receive all kinds of information anytime and anywhere through social media platforms and chat rooms. The anonymity, convenience, and interactivity of the Internet have changed the previous one-way communication model, leading to the emergence of self-media and more diverse channels of information flow. The echo chamber makes it easy to believe distorted information as true, which, aided by AI technology such as Deepfake, makes it even more difficult for people to accept and recognize the authenticity of messages.
The idea behind the creation of "Auntie Meiyu", a chatbot on LINE, is to take a proactive role in clarification through searching keywords in Line groups and fact-checking the platform database. Based on the Elaboration Likelihood Model (ELM), this study employed a questionnaire survey method to understand people's information processing patterns and attitudes when receiving debunking messages. The study used consistency in stance as the modifying variables to investigate the effect on credibility and helpfulness when the stance of the recipient is consistent or inconsistent with the original message. The results show that the argument quality and source credibility of the debunking information provided by Auntie Meiyu positively affect the credibility and the helpfulness of the debunking messages. Consistency in stance causes some variation in the degree to which recipients consider the source credibility to be helpful. As of January 2021, the number of followers of the LINE account of "Auntie Meiyu" has exceeded 450,000, which shows that the domestic public is becoming more aware of and concerned about false messages. To this end, by analyzing the data, this study is expected to provide some suggestions and research directions for the future development of this field.
目次 Table of Contents
論文審定書 i
誌謝 ii
摘要 iii
Abstract iv
目錄 v
圖次 vii
表次 viii
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 3
1.3 研究問題與目的 5
1.4 研究流程 5
第二章 文獻探討 7
2.1 虛假訊息 7
2.2 事實查核 10
2.2.1 定義及相關研究 10
2.2.2 國內外查核組織 11
2.3 推敲可能性模式 16
2.3.1 定義 16
2.3.2 論點品質 17
2.3.3 來源可信度 18
2.3.4 涉入程度 19
第三章 研究方法 21
3.1 研究架構 21
3.2 研究假說 22
3.3 變數的操作型定義 28
3.4 研究設計 28
3.4.1 研究對象 28
3.4.2 問卷設計 29
3.4.3 資料蒐集使用工具 34
第四章 資料分析 35
4.1 樣本資料分析 35
4.2 衡量模型 37
4.2.1 信度分析 37
4.2.2 收斂效度分析 38
4.2.3 區別效度分析 40
4.3 結構模型與假說驗證 42
第五章 結論與建議 48
5.1 研究結果與建議 48
5.2 理論及實務意涵 50
5.3 研究限制及未來研究方向 51
參考文獻 53
附錄 本研究調查問卷 60
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