InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection

arXiv:2403.15214v1 Announce Type: cross
Abstract: Large Language Models (LLMs) raise concerns about lowering the cost of generating texts that could be used for unethical or illegal purposes, especially on social media. This paper investigates the promise of such models to help enforce legal requirements related to the disclosure of sponsored content online. We investigate the use of LLMs for generating synthetic Instagram captions with two objectives: The first objective (fidelity) is to produce realistic synthetic datasets. For this, we implement …

abstract arxiv challenges chatgpt concerns cost cs.cl cs.cy cs.si data detection instagram language language models large language large language models legal llms media opportunities paper raise requirements social social media sponsored sponsored content synthetic type