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相关论文: Credibility-based Fake News Detection

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Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the main drivers of the…

信息检索 · 计算机科学 2020-10-08 Nguyen Vo , Kyumin Lee

As the spread of false information on the internet has increased dramatically in recent years, more and more attention is being paid to automated fake news detection. Some fake news detection methods are already quite successful.…

计算与语言 · 计算机科学 2021-07-19 Camille Koenders , Johannes Filla , Nicolai Schneider , Vinicius Woloszyn

Fake information poses one of the major threats for society in the 21st century. Identifying misinformation has become a key challenge due to the amount of fake news that is published daily. Yet, no approach is established that addresses…

信息检索 · 计算机科学 2021-03-30 Vishwani Gupta , Katharina Beckh , Sven Giesselbach , Dennis Wegener , Tim Wirtz

Detection of fake news is crucial to ensure the authenticity of information and maintain the news ecosystems reliability. Recently, there has been an increase in fake news content due to the recent proliferation of social media and fake…

社会与信息网络 · 计算机科学 2022-07-28 Pallabi Saikia , Kshitij Gundale , Ankit Jain , Dev Jadeja , Harvi Patel , Mohendra Roy

Many people use social networking services (SNSs) to easily access various news. There are numerous ways to obtain and share ``fake news,'' which are news carrying false information. To address fake news, several studies have been conducted…

社会与信息网络 · 计算机科学 2020-07-29 Taichi Murayama , Shoko Wakamiya , Eiji Aramaki

Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase in information accessibility but has also accelerated the…

计算与语言 · 计算机科学 2020-07-09 Ray Oshikawa , Jing Qian , William Yang Wang

The topic of fake news has drawn attention both from the public and the academic communities. Such misinformation has the potential of affecting public opinion, providing an opportunity for malicious parties to manipulate the outcomes of…

机器学习 · 计算机科学 2017-09-05 Natali Ruchansky , Sungyong Seo , Yan Liu

Society is experimenting changes in information consumption, as new information channels such as social networks let people share news that do not necessarily be trust worthy. Sometimes, these sources of information produce fake news…

人工智能 · 计算机科学 2020-04-03 Eduardo C. Garrido-Merchán , Cristina Puente , Rafael Palacios

Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its…

With the primary goal of raising readers' awareness of misinformation phenomena, extensive efforts have been made by both academic institutions and independent organizations to develop methodologies for assessing the trustworthiness of…

社会与信息网络 · 计算机科学 2024-03-01 Manuel Pratelli , Fabio Saracco , Marinella Petrocchi

The emergence of "Fake News" and misinformation via online news and social media has spurred an interest in computational tools to combat this phenomenon. In this paper we present a new "Related Fact Checks" service, which can help a reader…

信息检索 · 计算机科学 2017-11-03 Sreya Guha

News plays a significant role in shaping people's beliefs and opinions. Fake news has always been a problem, which wasn't exposed to the mass public until the past election cycle for the 45th President of the United States. While quite a…

社会与信息网络 · 计算机科学 2019-03-18 Zhixuan Zhou , Huankang Guan , Meghana Moorthy Bhat , Justin Hsu

Social networks have become one of the main information channels for human beings due to the immediate and social interactivity they offer, allowing in some cases to publish what each user considers relevant. This has brought with it the…

计算与语言 · 计算机科学 2021-12-15 Luis Rojas Rubio , Claudio Meneses Villegas

Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data. Consequently, the latter crowdsourcing model is exposed to…

Fact verification models have enjoyed a fast advancement in the last two years with the development of pre-trained language models like BERT and the release of large scale datasets such as FEVER. However, the challenging problem of fake…

计算与语言 · 计算机科学 2020-10-13 Qifei Li , Wangchunshu Zhou

Media seems to have become more partisan, often providing a biased coverage of news catering to the interest of specific groups. It is therefore essential to identify credible information content that provides an objective narrative of an…

人工智能 · 计算机科学 2017-05-16 Subhabrata Mukherjee , Gerhard Weikum

Social media are nowadays one of the main news sources for millions of people around the globe due to their low cost, easy access and rapid dissemination. This however comes at the cost of dubious trustworthiness and significant risk of…

社会与信息网络 · 计算机科学 2019-02-19 Federico Monti , Fabrizio Frasca , Davide Eynard , Damon Mannion , Michael M. Bronstein

The growing societal dependence on social media and user generated content for news and information has increased the influence of unreliable sources and fake content, which muddles public discourse and lessens trust in the media.…

计算与语言 · 计算机科学 2022-09-07 Marjan Hosseini , Alireza Javadian Sabet , Suining He , Derek Aguiar

The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread quickly due to the ease of creating and disseminating…

Detecting false information on social media is critical in mitigating its negative societal impacts. To reduce the propagation of false information, automated detection provide scalable, unbiased, and cost-effective methods. However, there…

社会与信息网络 · 计算机科学 2024-09-09 Sarah Condran