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Title:           Artificial intelligence versus journalists: The quality of automated news and bias by authorship using a Turing test
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     Item: 
      Title: Artificial intelligence versus journalists: The quality of automated news and bias by authorship using a Turing test
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        Title: Abstract
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        Title: Keywords: automated journalism; automated news; artificial intelligence; Turing test; COVID-19
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        Title: 1. Introduction
       Item: 
        Title: 2. Literature review
       Item: 
        Title: 3. Hypothesis and objectives
       Item: 
        Title: 4. Methodology and experimental design
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         Item: 
          Title: 4.1. Definition and operationalisation of variables
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          Title: 4.2. Respondents and conditions assessed
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          Title: 4.3. Procedure
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        Title: 5. Results
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          Title: 5.1. Credibility and readability of the message
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          Title: 5.2. Authorship credibility
         Item: 
          Title: 5.3. Journalistic expertise
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        Title: 6. Discussion and Conclusions 
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        Title: Bibliographical references
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       Rect: 76, 128, 294, 115
      Annotation: 
       Subtype: Link
       Rect: 81, 96, 276, 83
     Thumb: true
    Page: 
     Label: 36
     Sequence: 22
     Annotations: 
      Annotation: 
       Subtype: Link
       Rect: 81, 561, 256, 548
      Annotation: 
       Subtype: Link
       Rect: 81, 519, 256, 506
      Annotation: 
       Subtype: Link
       Rect: 81, 476, 248, 464
      Annotation: 
       Subtype: Link
       Rect: 81, 434, 276, 421
     Thumb: true
  Checksum: 49eb333e
   Type: CRC32
  Checksum: bd7fb033bed71948b8e5299a79d5a99a
   Type: MD5
  Checksum: 02a4b267ac5fce191d62990a640042f5e6103b94
   Type: SHA-1
  Checksum: 9b9a1ceff93face867119800789da0b2bb3176ada66f75043f6a99c0067b5a5a
   Type: SHA-256