Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
41 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
41 tokens/sec
o3 Pro
7 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles? (2209.07214v1)

Published 15 Sep 2022 in cs.SI

Abstract: 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.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (6)
  1. Sippo Rossi (2 papers)
  2. Youngjin Kwon (12 papers)
  3. Odd Harald Auglend (1 paper)
  4. Raghava Rao Mukkamala (4 papers)
  5. Matti Rossi (2 papers)
  6. Jason Thatcher (2 papers)
Citations (2)