2166e9877457c97b6a3db8a40d3f7f66 medcom_a2026v14e12588.pdf 641f0fda80a3e7cefd7076ae6b5d7f10403393b5 medcom_a2026v14e12588.pdf 12f38b4e04a4d262626dbdf93bdd265766e67b1a1518f744e7107a9d01078078 medcom_a2026v14e12588.pdf Title: Giving AI a Body: Representations of Social Robots in Latin American Media Keywords: AI; artificial intelligence; computational journalism; journalism studies; Latin American media; media representation; news coverage; social robots Author: Iliana Ferrer, Leonor Balbuena, Oscar Mario Miranda-Villanueva, and Mathias-Felipe de-Lima-Santos Creator: LaTeX with hyperref Producer: xdvipdfmx (20250410) CreationDate: Mon Sep 7 19:25:50 2026 CEST Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 20 Encrypted: no Page size: 595.28 x 841.89 pts (A4) Page rot: 0 File size: 362499 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- 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(2023-03-16) LastModified: 2026-09-21 14:32:17 CEST Size: 362499 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 0 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Outlines: Item: Title: 1 Introduction Item: Title: 2 Theoretical Framework Children: Item: Title: 2.1 AI, Robotics, and Media Representation Item: Title: 2.2 Social Robots and AI Coverage in Latin America Item: Title: 3 Methods Children: Item: Title: 3.1 Research Design Item: Title: 3.2 Data Collection Item: Title: 3.3 Data Filtering and Sample Construction Item: Title: 3.4 Codebook and Variables Item: Title: 3.5 Coding Procedure Item: Title: 3.6 Data Validation Item: Title: 4 Results Children: Item: Title: 4.1 Narrative Frames and Evaluative Tone Item: Title: 4.2 Representation of AI Item: Title: 4.3 Social Roles, Sectors, and Sources Item: Title: 4.4 Associations Between Variables Item: Title: 5 Discussion and Conclusion Children: Item: Title: 5.1 Contributions and Implications Item: Title: 5.2 Limitations Item: Title: 5.3 Conclusion Filters: FilterPipeline: FlateDecode Fonts: Type0: Font: BaseFont: OCTTWF+LeteSansMath-Identity-H Encoding: Identity-H ToUnicode: true Font: BaseFont: EVGODE+Lato-Black Encoding: Identity-H ToUnicode: true Font: BaseFont: SZLUWF+Lato-Bold Encoding: Identity-H ToUnicode: true Font: BaseFont: MKIXNE+Lato-Heavy Encoding: Identity-H ToUnicode: true Font: BaseFont: SEZEVG+Lato-Semibold Encoding: Identity-H ToUnicode: true Font: BaseFont: MQHFWK+Lato-Regular Encoding: Identity-H ToUnicode: true Font: BaseFont: ECJNDC+Lato-Italic Encoding: Identity-H ToUnicode: true Font: BaseFont: CTNJMU+Lato-BoldItalic Encoding: Identity-H ToUnicode: true CIDFontType0: Font: BaseFont: OCTTWF+LeteSansMath CIDSystemInfo: Registry: Adobe Registry: Identity Supplement: 0 FontDescriptor: FontName: OCTTWF+LeteSansMath Flags: Serif, Symbolic FontBBox: -971, -2676, 12034, 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