{"@context":{"aiiso":"http:\/\/purl.org\/vocab\/aiiso\/schema#","arm":"https:\/\/ld4p.github.io\/arm\/core\/ontology\/0.1\/","bf":"http:\/\/id.loc.gov\/ontologies\/bibframe\/","bib":"https:\/\/bibliotek-o.org\/","bibo":"http:\/\/purl.org\/ontology\/bibo\/","cito":"http:\/\/purl.org\/spar\/cito\/","classSchemes":"http:\/\/id.loc.gov\/vocabulary\/classSchemes","dbo":"http:\/\/dbpedia.org\/ontology\/","dce":"http:\/\/purl.org\/dc\/elements\/1.1\/","dcmitype":"http:\/\/dublincore.org\/documents\/2000\/07\/11\/dcmi-type-vocabulary\/#","dcterms":"http:\/\/purl.org\/dc\/terms\/","ebucore":"http:\/\/www.ebu.ch\/metadata\/ontologies\/ebucore\/ebucore","edm":"http:\/\/www.europeana.eu\/schemas\/edm\/","foaf":"http:\/\/xmlns.com\/foaf\/spec\/#","frap":"http:\/\/purl.org\/cerif\/frapo","identifiers":"http:\/\/id.loc.gov\/vocabulary\/identifiers","ids":"http:\/\/id.loc.gov\/vocabulary\/identifiers\/","opaque":"http:\/\/opaquenamespace.org\/","pcdm":"http:\/\/pcdm.org\/models#","phaidra":"https:\/\/phaidra.org\/ontology\/","rdam":"http:\/\/rdaregistry.info\/Elements\/m\/","rdau":"http:\/\/rdaregistry.info\/Elements\/u\/","rdax":"http:\/\/rdaregistry.info\/Elements\/x\/","rdf":"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#","rdfs":"https:\/\/www.w3.org\/TR\/rdf-schema\/","relators":"http:\/\/id.loc.gov\/vocabulary\/relators","role":{"@context":{"aut":{"@container":"@list","@id":"http:\/\/id.loc.gov\/vocabulary\/relators\/aut"}}},"schema":"http:\/\/schema.org\/","skos":"http:\/\/www.w3.org\/2004\/02\/skos\/core#","skosxl":"http:\/\/www.w3.org\/2008\/05\/skos-xl"},"@id":"https:\/\/door.donau-uni.ac.at\/o:5615","bf:note":[{"@type":"bf:Note","skos:prefLabel":[{"@language":"eng","@value":"The proliferation of AI-generated deepfake media represents a critical global challenge, undermining \npublic trust across political, financial, and social domains. Recent advances in generative AI, particularly \nGoogle’s VEO3 model, have dramatically escalated the sophistication and accessibility of synthetic media \ncreation, enabling the generation of photorealistic videos with synchronised audio that are nearly \nindistinguishable from authentic content. Existing approaches, primarily focused on deepfake detection, \nfall short due to the evolving sophistication of artificial intelligence methods and the emergence of what \nresearchers term the “liar’s dividend”—the ability for bad actors to dismiss authentic content as \npotentially fake. This opinion paper introduces a technically feasible solution: the optional integration of \ncryptographic hashing, secure metadata anchoring (including GPS coordinates and device specifications), \nand optional digital identity signatures (eIDAS, EUDIS, or decentralised Self-Sovereign Identity \nframeworks) directly into media-capturing devices such as smartphones and cameras. These authenticity \nmarkers would be immutably anchored to public blockchain infrastructures—examples include Ethereum \nLayer 2 solutions, Solana, and Ardor—creating an incorruptible provenance ledger. The article examines \nthe multiple advantages of such blockchain-based media authentication, including strengthened content \nintegrity, clear provenance, rapid verification capabilities, deterrence of misinformation, protection of \nintellectual property, and resilience across decentralised platforms. Despite its promise, the \nimplementation faces challenges related to privacy and anonymity concerns, device integration \ncomplexities, scalability, verification infrastructure, and evolving legal and regulatory landscapes. To \novercome these barriers, parallel initiatives in user and stakeholder education are crucial, emphasising \nmedia literacy, transparency, and global inclusivity. By collaboratively addressing these issues, \nblockchain-based media authentication has the potential to significantly mitigate the impact of deepfakes \nand rebuild digital trust in society."}]}],"bf:provisionActivity":[{"@type":"bf:Publication","bf:agent":[{"@type":"schema:Organization","schema:name":[{"@value":"Zentrum für Angewandte Spieleforschung, Universität für Weiterbildung Krems"}]}]}],"dce:subject":[{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Blockchain Media Authentication"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Deepfake Detection"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Digital Provenance"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Synthetic Media"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Content Integrity Verification"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Cryptographic Timestamping"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Media Forensics"}]},{"@type":"skos:Concept","skos:prefLabel":[{"@language":"eng","@value":"Information Authenticity"}]}],"dce:title":[{"@type":"bf:Title","bf:mainTitle":[{"@language":"eng","@value":"Restoring Trust in the Age of Deepfakes: A Blockchain-Based Proposal"}],"bf:subtitle":[{"@language":"eng","@value":"The Global Challenge of AI-Manipulated Media"}]}],"dcterms:issued":["2025-07-30"],"dcterms:language":["eng"],"dcterms:type":[{"@type":"skos:Concept","skos:exactMatch":["https:\/\/pid.phaidra.org\/vocabulary\/69ZZ-2KGX"],"skos:prefLabel":[{"@language":"eng","@value":"Text"},{"@language":"deu","@value":"Text"},{"@language":"ita","@value":"Testo"}]}],"ebucore:filename":["trust.pdf"],"ebucore:hasMimeType":["application\/pdf"],"edm:hasType":[{"@type":"skos:Concept","skos:exactMatch":["https:\/\/pid.phaidra.org\/vocabulary\/VKA6-9XTY"],"skos:prefLabel":[{"@language":"eng","@value":"journal article"},{"@language":"deu","@value":"Wissenschaftlicher Artikel"},{"@language":"ita","@value":"Articolo di rivista"}]}],"edm:rights":["http:\/\/rightsstatements.org\/vocab\/InC\/1.0\/"],"rdam:P30004":[{"@type":"ids:doi","@value":"10.48341\/dx7k-e072"}],"rdau:P60193":[{"@type":"schema:CreativeWork","dce:title":[{"@type":"bf:Title","bf:mainTitle":[{"@language":"eng","@value":"MAD Opinions"}]}]}],"role:aut":[{"@type":"schema:Person","schema:affiliation":[{"@type":"schema:Organization","schema:name":[{"@value":"Universität für Weiterbildung Krems"}],"skos:exactMatch":["https:\/\/ror.org\/03ef4a036"]}],"schema:familyName":[{"@value":"Pfeiffer"}],"schema:givenName":[{"@value":"Alexander"}],"skos:exactMatch":[{"@type":"ids:orcid","@value":"0000-0002-8689-3318"}]},{"@type":"schema:Person","schema:affiliation":[{"@type":"schema:Organization","schema:name":[{"@value":"Independent Researcher"}]}],"schema:familyName":[{"@value":"Krishna"}],"schema:givenName":[{"@value":"Nanditha"}],"skos:exactMatch":[{"@type":"ids:orcid","@value":"0000-0001-5536-4993"}]}]}