Combating Misinformation in the Age of LLMs: Opportunities and
Challenges
- URL: http://arxiv.org/abs/2311.05656v1
- Date: Thu, 9 Nov 2023 00:05:27 GMT
- Title: Combating Misinformation in the Age of LLMs: Opportunities and
Challenges
- Authors: Canyu Chen, Kai Shu
- Abstract summary: The emergence of Large Language Models (LLMs) has great potential to reshape the landscape of combating misinformation.
On the one hand, LLMs bring promising opportunities for combating misinformation due to their profound world knowledge and strong reasoning abilities.
On the other hand, the critical challenge is that LLMs can be easily leveraged to generate deceptive misinformation at scale.
- Score: 21.712051537924136
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Misinformation such as fake news and rumors is a serious threat on
information ecosystems and public trust. The emergence of Large Language Models
(LLMs) has great potential to reshape the landscape of combating
misinformation. Generally, LLMs can be a double-edged sword in the fight. On
the one hand, LLMs bring promising opportunities for combating misinformation
due to their profound world knowledge and strong reasoning abilities. Thus, one
emergent question is: how to utilize LLMs to combat misinformation? On the
other hand, the critical challenge is that LLMs can be easily leveraged to
generate deceptive misinformation at scale. Then, another important question
is: how to combat LLM-generated misinformation? In this paper, we first
systematically review the history of combating misinformation before the advent
of LLMs. Then we illustrate the current efforts and present an outlook for
these two fundamental questions respectively. The goal of this survey paper is
to facilitate the progress of utilizing LLMs for fighting misinformation and
call for interdisciplinary efforts from different stakeholders for combating
LLM-generated misinformation.
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