Summary of Blessing or Curse? a Survey on the Impact Of Generative Ai on Fake News, by Alexander Loth et al.
Blessing or curse? A survey on the Impact of Generative AI on Fake News
by Alexander Loth, Martin Kappes, Marc-Oliver Pahl
First submitted to arxiv on: 3 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Generative Adversarial Networks (GANs) have empowered the creation of fake news on an unprecedented scale. This paper explores the intersection of GANs and fake news, revealing how these AI models can produce high-quality, individually targeted misinformation. Furthermore, the authors demonstrate that GANs can also be used to detect fake news, highlighting the dual nature of this technology. The paper delves into the implications of these advancements on consumers, voters, and society as a whole. By examining the interplay between GANs and fake news, researchers aim to understand the potential risks and benefits of this emerging field. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Fake news is a big problem in our world. It can trick people into believing false information about things they care about. Generative Adversarial Networks (GANs) are a type of artificial intelligence that makes it easier for fake news to spread. But GANs can also be used to catch fake news and stop it from spreading. This paper talks about how GANs work and what this means for our society. It’s an important topic because we need to understand how technology is changing the way we get information. |
