%0 Generic %1 zelch2023commercializedgenerativeaicritical %A Zelch, Ines %A Hagen, Matthias %A Potthast, Martin %D 2023 %K imported %T Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search %U https://arxiv.org/abs/2310.04892

@misc{zelch2023commercializedgenerativeaicritical, added-at = {2024-11-19T15:34:37.000+0100}, archiveprefix = {arXiv}, author = {Zelch, Ines and Hagen, Matthias and Potthast, Martin}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/209c40f3a6446371da8403f0f2aa0b107/scadsfct}, eprint = {2310.04892}, interhash = {5d8c8d86a738ce1a29300ec8c4aca3b9}, intrahash = {09c40f3a6446371da8403f0f2aa0b107}, keywords = {imported}, primaryclass = {cs.IR}, timestamp = {2024-11-19T15:34:37.000+0100}, title = {Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search}, url = {https://arxiv.org/abs/2310.04892}, year = 2023 }