Jul 2026· Journal of creative communications· 0 citations· 21 references
TL;DR
The study conceptualises softfake as a distinct communicative form and a creative artefact, co-produced through human–AI collaboration and designated to mediate presence, voice and authenticity in digital contexts, which advances the conceptual understanding of how generative AI is reshaping creative communication practices.
Abstract
This article examines a novel form of AI-enabled creative digital communication content, termed softfake, which has emerged alongside the rapid diffusion of generative artificial intelligence across contemporary communication ecosystems. The study conceptualises softfake as a distinct communicative form and a creative artefact, co-produced through human–AI collaboration and designated to mediate presence, voice and authenticity in digital contexts. Drawing on a systematic review of media coverage, social media discourse and peer-reviewed literature, the article analyses illustrative cases of AI-generated video, audio and visual content used in strategic communication, branding and political campaigning in 2024. Building on an existing body of knowledge on deepfakes and cheapfakes, the study proposes a definition of ‘softfake’ as professionally produced, AI-generated content that intentionally conveys an authentic message from an individual or organisation created with their consent but without their direct engagement. By positioning softfakes as a new genre of creative communication, the article contributes to emerging debates on human–AI co-creation, mediated authenticity and the evolving nature of communicative authorship. The findings further identify key ethical boundaries governing the usage of softfakes, emphasising transparent labelling, organisational accountability and alignment with ethical AI principles. Beyond electoral communication, the study highlights broader societal and business implications, including applications in brand communication, organisational storytelling and influencer-led content creation. Overall, the article advances the conceptual understanding of how generative AI is reshaping creative communication practices, offering a foundation for future research on AI-enabled co-creation, communication governance and cultural meaning-making in digital environments.
The study examines how authenticity is communicatively constructed in AI-assisted Instagram posts through qualitative content analysis, conceptualizing authenticity as a relational communicative process shaped by AI disclosure, transparency, and representations of human agency.
The role of AI-driven technologies—including deepfakes and algorithmic amplification—in producing and circulating deceptive narratives designed to manipulate public perception is investigated and language, particularly through strategic mistranslation and narrative reframing, is weaponized to serve ideological interest...
The widespread adoption of generative artificial intelligence (AI) technologies has reduced the technical barriers to producing fabricated images, videos, and voice recordings. The prioritization of high-engagement content by recommendation algorithms on major new media platforms allows AI-generated content to receive...
Bo Jin· Communications in Humanities...· 0 citations
This article analyzes the transformations of interpersonal communication in the context of digitalization and the spread of artificial intelligence (AI) technologies. The study aims to systematize current knowledge about communication types, identify factors driving its transformation, and define the role of AI as a co...
N. Krivopalova· Linguistics and Intercultura...· 0 citations
This essay draws on a delimited corpus of publicly circulating materials associated with Abelardo de la Espriella’s digital campaign in the 2026 Colombian presidential election to examine a form of algorithmic–affective campaigning. Through a qualitative, discursive, and multimodal approach, it examines a core analytic...
A. Acevedo-Merlano· Journalism and Media· 0 citations
Ethical implications are derived for the individual production of historical content with AI and for the role of distribution platforms, and the analytical limits of the case are discussed in order to open an empirical research agenda in this emerging field.
Cristian Londoño-Proaño· Frontiers in Communication· 0 citations
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