Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey
In today's global digital landscape, misinformation transcends linguistic boundaries, posing
a significant challenge for moderation systems. While significant advances have been made …
a significant challenge for moderation systems. While significant advances have been made …
Dell: Generating reactions and explanations for llm-based misinformation detection
Large language models are limited by challenges in factuality and hallucinations to be
directly employed off-the-shelf for judging the veracity of news articles, where factual …
directly employed off-the-shelf for judging the veracity of news articles, where factual …
Misinformation Detection: A Review for High and Low-Resource Languages
The rapid spread of misinformation on platforms like Twitter, and Facebook, and in news
headlines highlights the urgent need for effective ways to detect it. Currently, researchers …
headlines highlights the urgent need for effective ways to detect it. Currently, researchers …
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
Evidence-enhanced detectors present remarkable abilities in identifying malicious social
text with related evidence. However, the rise of large language models (LLMs) brings …
text with related evidence. However, the rise of large language models (LLMs) brings …
The Reopening of Pandora's Box: Analyzing the Role of LLMs in the Evolving Battle Against AI-Generated Fake News
With the rise of AI-generated content spewed at scale from large language models (LLMs),
genuine concerns about the spread of fake news have intensified. The perceived ability of …
genuine concerns about the spread of fake news have intensified. The perceived ability of …