Combating misinformation in the age of llms: Opportunities and challenges
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …
and public trust. The emergence of large language models (LLMs) has great potential to …
Unveiling the veiled threat: the impact of bots on COVID-19 health communication
This article presents the results of a comprehensive study examining the influence of bots on
the dissemination of COVID-19 misinformation and negative vaccine stance on Twitter over …
the dissemination of COVID-19 misinformation and negative vaccine stance on Twitter over …
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 …
Teller: A trustworthy framework for explainable, generalizable and controllable fake news detection
The proliferation of fake news has emerged as a severe societal problem, raising significant
interest from industry and academia. While existing deep-learning based methods have …
interest from industry and academia. While existing deep-learning based methods have …
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
The proliferation of online misinformation has posed significant threats to public interest.
While numerous online users actively participate in the combat against misinformation …
While numerous online users actively participate in the combat against misinformation …
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 …
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
The rapid propagation of misinformation poses substantial risks to public interest. To combat
misinformation, large language models (LLMs) are adapted to automatically verify claim …
misinformation, large language models (LLMs) are adapted to automatically verify claim …
Auditing Counterfire: Evaluating Advanced Counterargument Generation with Evidence and Style
We present a novel dataset for the controlled composition of counterarguments designed for
further applications in argument refining, mining, and evaluation. Our dataset constitutes …
further applications in argument refining, mining, and evaluation. Our dataset constitutes …
Are they the same picture? adapting concept bottleneck models for human-AI collaboration in image retrieval
Image retrieval plays a pivotal role in applications from wildlife conservation to healthcare,
for finding individual animals or relevant images to aid diagnosis. Although deep learning …
for finding individual animals or relevant images to aid diagnosis. Although deep learning …
In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation
M Soprano - 2023 - air.uniud.it
The spread of online misinformation has important effects on the stability of democracy. The
information that is consumed every day influences human decision-making processes. The …
information that is consumed every day influences human decision-making processes. The …