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Related papers: User Preference-aware Fake News Detection

200 papers

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…

Social and Information Networks · Computer Science 2022-07-28 Pallabi Saikia , Kshitij Gundale , Ankit Jain , Dev Jadeja , Harvi Patel , Mohendra Roy

The availability and interactive nature of social media have made them the primary source of news around the globe. The popularity of social media tempts criminals to pursue their immoral intentions by producing and disseminating fake news…

Multimedia · Computer Science 2021-12-29 Faeze Ghorbanpour , Maryam Ramezani , Mohammad A. Fazli , Hamid R. Rabiee

Fake news, rumor, incorrect information, and misinformation detection are nowadays crucial issues as these might have serious consequences for our social fabrics. The rate of such information is increasing rapidly due to the availability of…

Computation and Language · Computer Science 2018-11-13 Arjun Roy , Kingshuk Basak , Asif Ekbal , Pushpak Bhattacharyya

Social media has greatly enabled people to participate in online activities at an unprecedented rate. However, this unrestricted access also exacerbates the spread of misinformation and fake news online which might cause confusion and chaos…

Machine Learning · Computer Science 2020-04-07 Kai Shu , Guoqing Zheng , Yichuan Li , Subhabrata Mukherjee , Ahmed Hassan Awadallah , Scott Ruston , Huan Liu

Fake news has become omnipresent in digitalized areas such as social media platforms. While being disseminated online, it also poses a threat to individuals and societies offline, for example, in the context of democratic elections.…

Human-Computer Interaction · Computer Science 2021-09-29 Enrico Bunde , Niklas Kühl , Christian Meske

It has been argued that fake news and the spread of false information pose a threat to societies throughout the world, from influencing the results of elections to hindering the efforts to manage the COVID-19 pandemic. To combat this…

Computation and Language · Computer Science 2021-10-22 Nathaniel Hoy , Theodora Koulouri

Social media has become a popular means for people to consume news. Meanwhile, it also enables the wide dissemination of fake news, i.e., news with intentionally false information, which brings significant negative effects to the society.…

Social and Information Networks · Computer Science 2019-03-28 Kai Shu , Deepak Mahudeswaran , Suhang Wang , Dongwon Lee , Huan Liu

The World Wide Web provides unrivalled access to information globally, including factual news reporting and commentary. However, state actors and commercial players increasingly spread biased (distorted) or fake (non-factual) information to…

Computation and Language · Computer Science 2026-01-08 Tim Menzner , Jochen L. Leidner

Recently, the term "fake news" has been broadly and extensively utilized for disinformation, misinformation, hoaxes, propaganda, satire, rumors, click-bait, and junk news. It has become a serious problem around the world. We present a new…

Social and Information Networks · Computer Science 2020-10-06 Jiawei Xu , Vladimir Zadorozhny , Danchen Zhang , John Grant

The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the sources that spread this news is important to maintain a…

Computation and Language · Computer Science 2024-04-30 Nikhil Mehta , Dan Goldwasser

Nowadays social media is the primary platform for people to obtain news and share information. Combating online fake news has become an urgent task to reduce the damage it causes to society. Existing methods typically improve their fake…

Social and Information Networks · Computer Science 2023-12-27 Xing Su , Jian Yang , Jia Wu , Zitai Qiu

This work proposes an unsupervised learning framework for trajectory (sequence) outlier detection that combines ranking tests with user sequence models. The overall framework identifies sequence outliers at a desired false positive rate…

Machine Learning · Computer Science 2021-11-09 Mohamed A. Zahran , Leonardo Teixeira , Vinayak Rao , Bruno Ribeiro

News recommendation is critical for personalized news distribution. Federated news recommendation enables collaborative model learning from many clients without sharing their raw data. It is promising for privacy-preserving news…

Information Retrieval · Computer Science 2023-06-09 Jingwei Yi , Fangzhao Wu , Bin Zhu , Jing Yao , Zhulin Tao , Guangzhong Sun , Xing Xie

News recommender systems are used by online news providers to alleviate information overload and to provide personalized content to users. However, algorithmic news curation has been hypothesized to create filter bubbles and to intensify…

Information Retrieval · Computer Science 2022-03-14 Mehwish Alam , Andreea Iana , Alexander Grote , Katharina Ludwig , Philipp Müller , Heiko Paulheim

A large body of research work and efforts have been focused on detecting fake news and building online fact-check systems in order to debunk fake news as soon as possible. Despite the existence of these systems, fake news is still wildly…

Information Retrieval · Computer Science 2019-10-11 Nguyen Vo , Kyumin Lee

Collaborative Filtering (CF) is one of the most successful approaches for recommender systems. With the emergence of online social networks, social recommendation has become a popular research direction. Most of these social recommendation…

Information Retrieval · Computer Science 2019-07-12 Le Wu , Peijie Sun , Richang Hong , Yanjie Fu , Xiting Wang , Meng Wang

In this era of fake news and political polarization, it is desirable to have a system to enable users to access balanced news content. Current solutions focus on top down, server based approaches to decide whether a news article is fake or…

Information Retrieval · Computer Science 2018-03-12 Anish Anil Patankar , Joy Bose , Harshit Khanna

Easier access to the internet and social media has made disseminating information through online sources very easy. Sources like Facebook, Twitter, online news sites and personal blogs of self-proclaimed journalists have become significant…

Computation and Language · Computer Science 2021-09-28 Shaily Bhatt , Sakshi Kalra , Naman Goenka , Yashvardhan Sharma

In recent years, scholars have raised concerns on the effects that unreliable news, or "fake news," has on our political sphere, and our democracy as a whole. For example, the propagation of fake news on social media is widely believed to…

Social and Information Networks · Computer Science 2023-09-28 Banafsheh Behzad , Bhavana Bheem , Daniela Elizondo , Deyana Marsh , Susan Martonosi

Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs…

Social and Information Networks · Computer Science 2021-11-24 Chahat Raj , Priyanka Meel