A framework for detecting fake news by identifying fake text messages and forgery images.

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Title: A framework for detecting fake news by identifying fake text messages and forgery images.
Authors: Chang, Tsui-Ping1, Hsiao, Tsung-Chih2, Chen, Tzer-Long3, tlchen@kmu.edu.tw, Lo, Ting-Chen1
Source: Enterprise Information Systems; Mar/Apr2025, Vol. 19 Issue 3/4, p1-24, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185228120
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PubType: Academic Journal
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  Data: A framework for detecting fake news by identifying fake text messages and forgery images.
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  Data: <searchLink fieldCode="JN" term="%22Enterprise+Information+Systems%22">Enterprise Information Systems</searchLink>; Mar/Apr2025, Vol. 19 Issue 3/4, p1-24, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185228120
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/17517575.2024.2436495
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1
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      – TitleFull: A framework for detecting fake news by identifying fake text messages and forgery images.
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            NameFull: Chang, Tsui-Ping
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            NameFull: Hsiao, Tsung-Chih
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            NameFull: Chen, Tzer-Long
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            NameFull: Lo, Ting-Chen
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            – D: 01
              M: 03
              Text: Mar/Apr2025
              Type: published
              Y: 2025
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              Value: 19
            – Type: issue
              Value: 3/4
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            – TitleFull: Enterprise Information Systems
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