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相关论文: Multi-modal Misinformation Detection: Approaches, …

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The exponential rise of social media and digital news in the past decade has had the unfortunate consequence of escalating what the United Nations has called a global topic of concern: the growing prevalence of disinformation. Given the…

计算与语言 · 计算机科学 2019-11-28 Chris Dulhanty , Jason L. Deglint , Ibrahim Ben Daya , Alexander Wong

Multimodal fake news detection has garnered significant attention due to its profound implications for social security. While existing approaches have contributed to understanding cross-modal consistency, they often fail to leverage…

机器学习 · 计算机科学 2025-05-30 Tianlin Zhang , En Yu , Yi Shao , Jiande Sun

Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and…

Platforms have struggled to keep pace with the spread of disinformation. Current responses like user reports, manual analysis, and third-party fact checking are slow and difficult to scale, and as a result, disinformation can spread…

计算机与社会 · 计算机科学 2020-09-30 Austin Hounsel , Jordan Holland , Ben Kaiser , Kevin Borgolte , Nick Feamster , Jonathan Mayer

With social media usage growing exponentially in the past few years, fake news has also become extremely prevalent. The detrimental impact of fake news emphasizes the need for research focused on automating the detection of false…

Advances in social media data dissemination enable the provision of real-time information during a crisis. The information comes from different classes, such as infrastructure damages, persons missing or stranded in the affected zone, etc.…

计算与语言 · 计算机科学 2026-03-20 Thi Huyen Nguyen , Koustav Rudra , Wolfgang Nejdl

Multimodal misinformation, encompassing textual, visual, and cross-modal distortions, poses an increasing societal threat that is amplified by generative AI. Existing methods typically focus on a single type of distortion and struggle to…

计算机视觉与模式识别 · 计算机科学 2025-10-31 Zehong Yan , Peng Qi , Wynne Hsu , Mong Li Lee

Hateful and offensive content detection has been extensively explored in a single modality such as text. However, such toxic information could also be communicated via multimodal content such as online memes. Therefore, detecting multimodal…

信息检索 · 计算机科学 2021-08-16 Rui Cao , Ziqing Fan , Roy Ka-Wei Lee , Wen-Haw Chong , Jing Jiang

Prior work has extensively studied misinformation related to news, politics, and health, however, misinformation can also be about technological topics. While less controversial, such misinformation can severely impact companies'…

计算机与社会 · 计算机科学 2023-06-19 Mohit Singhal , Nihal Kumarswamy , Shreyasi Kinhekar , Shirin Nilizadeh

False information can be created and spread easily through the web and social media platforms, resulting in widespread real-world impact. Characterizing how false information proliferates on social platforms and why it succeeds in deceiving…

社会与信息网络 · 计算机科学 2018-04-24 Srijan Kumar , Neil Shah

The consumption of news has changed significantly as the Web has become the most influential medium for information. To analyze and contextualize the large amount of news published every day, the geographic focus of an article is an…

信息检索 · 计算机科学 2022-11-16 Golsa Tahmasebzadeh , Eric Müller-Budack , Sherzod Hakimov , Ralph Ewerth

In recent years, with the expansion of the Internet and attractive social media infrastructures, people prefer to follow the news through these media. Despite the many advantages of these media in the news field, the lack of any control and…

社会与信息网络 · 计算机科学 2021-09-13 Ali Jarrahi , Leila Safari

In the recent years, social media has grown to become a major source of information for many online users. This has given rise to the spread of misinformation through deepfakes. Deepfakes are videos or images that replace one persons face…

计算机视觉与模式识别 · 计算机科学 2022-07-28 Jacob Mallet , Rushit Dave , Naeem Seliya , Mounika Vanamala

The proliferation of harmful content on online platforms is a major societal problem, which comes in many different forms including hate speech, offensive language, bullying and harassment, misinformation, spam, violence, graphic content,…

In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation at scale even more difficult. Existing work on meme…

In the Social Web scenario, large amounts of User-Generated Content (UGC) are diffused through social media often without almost any form of traditional trusted intermediaries. Therefore, the risk of running into misinformation is not…

计算机与社会 · 计算机科学 2020-01-28 Gabriella Pasi , Marco Viviani

Synthetic media detection technologies label media as either synthetic or non-synthetic and are increasingly used by journalists, web platforms, and the general public to identify misinformation and other forms of problematic content. As…

计算机与社会 · 计算机科学 2021-02-12 Claire Leibowicz , Sean McGregor , Aviv Ovadya

Social media platforms have evolved rapidly in modernity without strong regulation. One clear obstacle faced by current users is that of toxicity. Toxicity on social media manifests through a number of forms, including harassment,…

社会与信息网络 · 计算机科学 2024-10-30 Rhett Hanscom , Tamara Silbergleit Lehman , Qin Lv , Shivakant Mishra

Technology is increasingly used -- unintentionally (misinformation) or intentionally (disinformation) -- to spread false information at scale, with potentially broad-reaching societal effects. For example, technology enables increasingly…

Multimodal deep learning systems which employ multiple modalities like text, image, audio, video, etc., are showing better performance in comparison with individual modalities (i.e., unimodal) systems. Multimodal machine learning involves…

机器学习 · 计算机科学 2022-01-19 Anil Rahate , Rahee Walambe , Sheela Ramanna , Ketan Kotecha