English
Related papers

Related papers: Rumor Mitigation in Social Media Platforms with De…

200 papers

Social networking sites, blogs, and online articles are instant sources of news for internet users globally. However, in the absence of strict regulations mandating the genuineness of every text on social media, it is probable that some of…

Computation and Language · Computer Science 2022-12-08 Arjun Choudhry , Inder Khatri , Minni Jain , Dinesh Kumar Vishwakarma

Misinformation on social media thrives on surprise, emotion, and identity-driven reasoning, often amplified through human cognitive biases. To investigate these mechanisms, we model large language model (LLM) personas as synthetic agents…

Social and Information Networks · Computer Science 2025-12-10 Raj Gaurav Maurya , Vaibhav Shukla , Raj Abhijit Dandekar , Rajat Dandekar , Sreedath Panat

In social networks, control of rumor spread is an active area of research. SIR model is generally used to study the rumor dynamics in network while considering the rumor as an epidemic. In disease spreading model, epidemic is controlled by…

Social and Information Networks · Computer Science 2015-09-29 Anoop Mehta , Ruchir Gupta

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…

Social and Information Networks · Computer Science 2019-02-19 Federico Monti , Fabrizio Frasca , Davide Eynard , Damon Mannion , Michael M. Bronstein

Rumor spreading is a ubiquitous phenomenon in social and technological networks. Traditional models consider that the rumor is propagated by pairwise interactions between spreaders and ignorants. Spreaders can become stiflers only after…

Social media platforms like Twitter, Facebook, and Instagram have facilitated the spread of misinformation, necessitating automated detection systems. This systematic review evaluates 36 studies that apply machine learning (ML) and deep…

Machine Learning · Computer Science 2025-06-24 Yunchong Liu , Xiaorui Shen , Yeyubei Zhang , Zhongyan Wang , Yexin Tian , Jianglai Dai , Yuchen Cao

In this work, we consider misinformation propagating through a social network and study the problem of its prevention. In this problem, a "bad" campaign starts propagating from a set of seed nodes in the network and we use the notion of a…

Social and Information Networks · Computer Science 2020-01-14 Michael Simpson , Venkatesh Srinivasan , Alex Thomo

This study examines how fake news affects social media users across a range of age groups and how machine learning (ML) and artificial intelligence (AI) can help reduce the spread of false information. The paper evaluates various machine…

Computation and Language · Computer Science 2024-11-11 Kahlil bin Abdul Hakim , Sathishkumar Veerappampalayam Easwaramoorthy

The emergence of the Internet as a ubiquitous technology has facilitated the rapid evolution of social media as the leading virtual platform for communication, content sharing, and information dissemination. In spite of revolutionizing the…

Social and Information Networks · Computer Science 2022-11-02 Sarina Jami , Iman Sahebi , Mohammad M. Sabermahani , Seyed P. Shariatpanahi , Aresh Dadlani , Behrouz Maham

Influence propagation has been the subject of extensive study due to its important role in social networks, epidemiology, and many other areas. Understanding propagation mechanisms is critical to control the spread of fake news or…

Optimization and Control · Mathematics 2022-09-28 Vinicius Ferreira , Artur Pessoa , Thibaut Vidal

The proliferation of misinformation, such as rumors on social media, has drawn significant attention, prompting various expressions of stance among users. Although rumor detection and stance detection are distinct tasks, they can complement…

Computation and Language · Computer Science 2025-02-14 Ruichao Yang , Jing Ma , Wei Gao , Hongzhan Lin

The proliferation of rumors on social media has become a major concern due to its ability to create a devastating impact. Manually assessing the veracity of social media messages is a very time-consuming task that can be much helped by…

Computer Vision and Pattern Recognition · Computer Science 2023-02-13 Abderrazek Azri , Cécile Favre , Nouria Harbi , Jérôme Darmont , Camille Noûs

Network dismantling aims to degrade the connectivity of a network by removing an optimal set of nodes. It has been widely adopted in many real-world applications such as epidemic control and rumor containment. However, conventional methods…

Machine Learning · Computer Science 2022-03-09 Dengcheng Yan , Wenxin Xie , Yiwen Zhang , Qiang He , Yun Yang

We present a systematic review of peer-reviewed research into ways to mitigate manipulative information about climate change on social media. Such information may include disinformation, harmful influence campaigns, or the unintentional…

Computers and Society · Computer Science 2024-11-01 Aliaksandr Herasimenka , Xianlingchen Wang , Ralph Schroeder

The dynamics of information dissemination in social networks is of paramount importance in processes such as rumors or fads propagation, spread of product innovations or "word-of-mouth" communications. Due to the difficulty in tracking a…

Physics and Society · Physics 2010-03-01 Jose Luis Iribarren , Esteban Moro

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…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Jacob Mallet , Rushit Dave , Naeem Seliya , Mounika Vanamala

Fake news on Social Media undermines democratic institutions and processes. Especially since 2016, researchers from many disciplines have focussed on ways to address the phenomenon. Much of the research focus to date has been on…

Human-Computer Interaction · Computer Science 2021-05-20 David A. Eccles , Tilman Dingler

Fake news has now grown into a big problem for societies and also a major challenge for people fighting disinformation. This phenomenon plagues democratic elections, reputations of individual persons or organizations, and has negatively…

Analysing how people react to rumours associated with news in social media is an important task to prevent the spreading of misinformation, which is nowadays widely recognized as a dangerous tendency. In social media conversations, users…

Computation and Language · Computer Science 2019-01-08 Endang Wahyu Pamungkas , Valerio Basile , Viviana Patti

Social media communications are becoming increasingly prevalent; some useful, some false, whether unwittingly or maliciously. An increasing number of rumours daily flood the social networks. Determining their veracity in an autonomous way…

Social and Information Networks · Computer Science 2019-02-11 Georgios Giasemidis , Nikolaos Kaplis , Ioannis Agrafiotis , Jason R. C. Nurse