@inbook{aba6d80c7389472b8fe6c8266747e883,
title = "Ethical Considerations in AI-Generated Content on Social Media",
abstract = "This paper focuses on different ethical points regarding AI generated content on social media such as bias, clarity and accountability and its influence on public trust, user opinion, and the spread of misinformation. To tackle key points such as transparency, responsibility, fairness, misinformation and privacy, a thematic synthesis was used in this study to help understand these issues more thoroughly. Results showed that even though there is a great positive impact of AI generated content, yet there is a significant negative effect like the spread of false information and biased outputs. To lessen harm and build trust in social media content, clarity and accountability should be clearly identified. The paper also highlights the need for a more controlled AI systems methodology to cover the loopholes in existing ethical and regulatory frameworks.",
keywords = "AI-generated content (AIGC), Bias in algorithms, Chatbots, Deepfakes, False information",
author = "Mervat Medhat and Ayoub, \{Layal W.\} and Manar Daher and Mohamed, \{Khaled M.\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.",
year = "2025",
doi = "10.1007/978-3-031-83911-5\_52",
language = "English",
series = "Studies in Big Data",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "611--620",
booktitle = "Studies in Big Data",
address = "Germany",
}