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相关论文: Studying Disinformation Narratives on Social Media…

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Identifying and characterizing disinformation in political discourse on social media is critical to ensure the integrity of elections and democratic processes around the world. Persistent manipulation of social media has resulted in…

社会与信息网络 · 计算机科学 2021-10-22 Karishma Sharma , Emilio Ferrara , Yan Liu

This paper presents TrollHunter2020, a real-time detection mechanism we used to hunt for trolling narratives on Twitter during the 2020 U.S. elections. Trolling narratives form on Twitter as alternative explanations of polarizing events…

密码学与安全 · 计算机科学 2020-12-08 Peter Jachim , Filipo Sharevski , Emma Pieroni

The emergence of the COVID-19 pandemic resulted in a significant rise in the spread of misinformation on online platforms such as Twitter. Oftentimes this growth is blamed on the idea of the "echo chamber." However, the behavior said to…

社会与信息网络 · 计算机科学 2024-12-13 Caleb Stam , Emily Saldanha , Mahantesh Halappanavar , Anurag Acharya

Introduction: This article introduces DisTrack, a methodology and a tool developed for tracking and analyzing misinformation within Online Social Networks (OSNs). DisTrack is designed to combat the spread of misinformation through a…

社会与信息网络 · 计算机科学 2024-08-02 Guillermo Villar-Rodríguez , Álvaro Huertas-García , Alejandro Martín , Javier Huertas-Tato , David Camacho

As recent events have demonstrated, disinformation spread through social networks can have dire political, economic and social consequences. Detecting disinformation must inevitably rely on the structure of the network, on users…

社会与信息网络 · 计算机科学 2021-09-27 Marius Paraschiv , Nikos Salamanos , Costas Iordanou , Nikolaos Laoutaris , Michael Sirivianos

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…

社会与信息网络 · 计算机科学 2025-12-10 Raj Gaurav Maurya , Vaibhav Shukla , Raj Abhijit Dandekar , Rajat Dandekar , Sreedath Panat

Much of the research quantifying volume and spread of online misinformation measures the construct at the source level, identifying a set of specific unreliable domains that account for a relatively small share of news consumption. This…

社会与信息网络 · 计算机科学 2025-06-11 Pranav Goel , Jon Green , David Lazer , Philip Resnik

Social media have become part of modern news reporting, used by journalists to spread information and find sources, or as a news source by individuals. The quest for prominence and recognition on social media sites like Twitter can…

社会与信息网络 · 计算机科学 2014-11-14 Samantha Finn , Panagiotis Takis Metaxas , Eni Mustafaraj

Online manipulation of information has become more prevalent in recent years as state-sponsored disinformation campaigns seek to influence and polarize political topics through massive coordinated efforts. In the process, these efforts…

社会与信息网络 · 计算机科学 2020-09-08 Luis Vargas , Patrick Emami , Patrick Traynor

Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people engage with posts on Twitter globally, which provides the possibility to disseminate misleading…

机器学习 · 计算机科学 2022-09-14 Aos Mulahuwaish , Manish Osti , Kevin Gyorick , Majdi Maabreh , Ajay Gupta , Basheer Qolomany

Over the past couple of years, the topic of "fake news" and its influence over people's opinions has become a growing cause for concern. Although the spread of disinformation on the Internet is not a new phenomenon, the widespread use of…

计算与语言 · 计算机科学 2019-10-29 Jillian Tompkins

User-generated content (e.g., tweets and profile descriptions) and shared content between users (e.g., news articles) reflect a user's online identity. This paper investigates whether correlations between user-generated and user-shared…

计算与语言 · 计算机科学 2021-09-01 Liesbeth Allein , Marie-Francine Moens , Domenico Perrotta

We tackle the problem of classifying news articles pertaining to disinformation vs mainstream news by solely inspecting their diffusion mechanisms on Twitter. Our technique is inherently simple compared to existing text-based approaches, as…

社会与信息网络 · 计算机科学 2020-11-13 Francesco Pierri , Carlo Piccardi , Stefano Ceri

Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace. Presenting a trustworthy and summarized account of the unfolding event in near real-time to the consumers of…

In light of the growing impact of disinformation on social, economic, and political landscapes, accurate and efficient identification methods are increasingly critical. This paper introduces HyperGraphDis, a novel approach for detecting…

社会与信息网络 · 计算机科学 2024-04-04 Nikos Salamanos , Pantelitsa Leonidou , Nikolaos Laoutaris , Michael Sirivianos , Maria Aspri , Marius Paraschiv

As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours. While many sophisticated and successful…

计算与语言 · 计算机科学 2021-04-15 Kellin Pelrine , Jacob Danovitch , Reihaneh Rabbany

Twitter has become one of the main sources of news for many people. As real-world events and emergencies unfold, Twitter is abuzz with hundreds of thousands of stories about the events. Some of these stories are harmless, while others could…

社会与信息网络 · 计算机科学 2016-06-21 Soroush Vosoughi , Deb Roy

With the increasing use of online social networks as a source of news and information, the propensity for a rumor to disseminate widely and quickly poses a great concern, especially in disaster situations where users do not have enough time…

社会与信息网络 · 计算机科学 2020-02-27 Abiola Osho , Caden Waters , George Amariucai

Twitter has become one of the most sought after places to discuss a wide variety of topics, including medically relevant issues such as cancer. This helps spread awareness regarding the various causes, cures and prevention methods of…

社会与信息网络 · 计算机科学 2021-01-27 Rakesh Bal , Sayan Sinha , Swastika Dutta , Rishabh Joshi , Sayan Ghosh , Ritam Dutt

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…

机器学习 · 计算机科学 2025-06-24 Yunchong Liu , Xiaorui Shen , Yeyubei Zhang , Zhongyan Wang , Yexin Tian , Jianglai Dai , Yuchen Cao
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