The introduction of ChatGPT to the public in November 2022 garnered significant media attention, sparking debates about the future impact of AI systems on humanity. This phenomenon has prompted discussions on ethical considerations in AI development and the challenge of distinguishing between AI-generated and human-created content. Such uncertainties have led to questions about credibility and reliability in the digital realm. In contexts like social media and news platforms, the increased use of AI-generated content blurs the lines between trustworthy and fabricated information, amplifying concerns around terms like fake new sand deep fakes. This study investigates the evolving landscape of information mediation in the age of AI, shedding light on the challenges faced by information creators and consumers. It also investigates the integration of AI-generated content into the workflows of information mediators and communicators, revealing insights into their roles and responsibilities as AI plays a growing role. Through content analysis and semi-structured interviews, the study uncovers the complex interplay between human expertise and AI capabilities, highlighting the potential benefits of AI in enhancing efficiency and personalization while also acknowledging concerns related to authenticity, credibility, and ethics. The study recommends continuous monitoring of these shifts, both in terms of necessary skillsets and changing attitudes towards AI. It emphasizes the evolving nature of ethical guidelines, urging their adaptation to address emerging complexities in AI ecology. In conclusion, this study contributes to the discourse on AI's impact on information mediation, providing insights into the changing landscape for content creators and consumers.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hb-30713 |
| Date | January 2023 |
| Creators | Högberg Wahlström, Lina |
| Publisher | Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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