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 …

Deep graph clustering has recently received significant attention due to its ability to enhance
the representation learning capabilities of models in unsupervised scenarios. Nevertheless …

The problem of community-level information pathway prediction (CLIPP) aims at predicting
the transmission trajectory of content across online communities. A successful solution to …

Social media platforms are hubs for multimodal information exchange, encompassing text,
images, and videos, making it challenging for machines to comprehend the information or …

Large language models (LLMs) are transforming the ways the general public accesses and
consumes information. Their influence is particularly pronounced in pivotal sectors like …

With the rise of social media, the rapid spread of rumors online has resulted in numerous
negative effects on society and the economy. The methods for rumor detection have …

The popularity of online social networks has enabled rapid dissemination of information.
People now can share and consume information much more rapidly than ever before …

Graph data is an important data type for representing the relationships between individuals,
and many research works are conducted based on graph data. In the real-world, graph data …

As an important part of the text-to-speech (TTS) system, vocoders convert acoustic features
into speech waveforms. The difference in vocoders is key to producing different types of …

The truth is significantly hampered by massive rumors that spread along with breaking news
or popular topics. Since there is sufficient corpus gathered from the same domain for model …