Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles?

Sippo Rossi, Youngjin Kwon, Odd Harald Auglend, Raghava Rao Mukkamala, Matti Rossi, Jason Bennett Thatcher

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

38 Lataukset (Pure)

Abstrakti

In recent years, deep learning methods have become increasingly capable of generating near photorealistic pictures and humanlike text up to the point that humans can no longer recognize what is real and what is AI-generated. Concerningly, there is evidence that some of these methods have already been adopted to produce fake social media profiles and content. We hypothesize that these advances have made detecting generated fake social media content in the feed extremely difficult, if not impossible, for the average user of social media. This paper presents the results of an experiment where 375 participants attempted to label real and generated profiles and posts in a simulated social media feed. The results support our hypothesis and suggest that even fully-generated fake profiles with posts written by an advanced text generator are difficult for humans to identify.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 56th Hawaii International Conference on System Sciences
ToimittajatTung X. Bui
JulkaisupaikkaUnited States
KustantajaHawaii International Conference on System Sciences
Sivut134-143
Sivumäärä10
ISBN (elektroninen)978-0-9981331-6-4
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaAnnual Hawaii International Conference on System Sciences - Maui, Yhdysvallat
Kesto: 3 tammik. 20236 tammik. 2023
Konferenssinumero: 56

Julkaisusarja

NimiProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (painettu)1530-1605
ISSN (elektroninen)2572-6862

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
LyhennettäHICSS
Maa/AlueYhdysvallat
KaupunkiMaui
Ajanjakso03/01/202306/01/2023

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