Ethical AI Use in Journalism

I am preparing an academic research paper that examines how AI and deep-fake technologies intersect with social-media journalism, concentrating specifically on the ethical and legal questions that arise when journalists rely on AI tools to research and edit stories.

The work should investigate current statutes, case law, professional codes of ethics, and emerging regulatory proposals worldwide. Please ground the discussion in recent real-world examples—ideally from 2019 onward—to illustrate challenges such as source verification, consent, intellectual-property ownership, accountability for errors, and transparency toward audiences.

Deliverables
• A fully formatted paper (approx. 4,000–5,000 words) with abstract, introduction, literature review, main analysis, conclusion, and reference list in APA 7.
• Minimum 25 scholarly sources, balanced between journal articles, legal texts, and policy papers.
• Turnitin or similar originality report demonstrating plagiarism-free content (< 10 %).

Acceptance criteria
1. Focus stays on ethical and legal issues of AI tools used to research and edit stories; tangential topics like detection methods or trust erosion appear only as contextual background.
2. Arguments are clearly supported by up-to-date references and well-reasoned critical analysis.
3. Writing is coherent, free of grammatical errors, and ready for submission to a peer-reviewed outlet or graduate-level course.

Feel free to leverage Zotero, Mendeley, or comparable citation managers and reputable databases such as JSTOR, Scopus, or LexisNexis to strengthen the scholarly foundation.