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相关论文: Designing Policies for Truth: Combating Misinforma…

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Competition among news sources may encourage some sources to share fake news and misinformation to influence the public. While sharing misinformation may lead to a short-term gain in audience engagement, it may damage the reputation of…

社会与信息网络 · 计算机科学 2024-11-26 Arash Amini , Yigit Ege Bayiz , Eun-Ju Lee , Zeynep Somer-Topcu , Radu Marculescu , Ufuk Topcu

Misinformation, defined as false or inaccurate information, can result in significant societal harm when it is spread with malicious or even innocuous intent. The rapid online information exchange necessitates advanced detection mechanisms…

计算与语言 · 计算机科学 2024-10-08 Chu Fei Luo , Radin Shayanfar , Rohan Bhambhoria , Samuel Dahan , Xiaodan Zhu

When users on social media share content without considering its veracity, they may unwittingly be spreading misinformation. In this work, we investigate the design of lightweight interventions that nudge users to assess the accuracy of…

人机交互 · 计算机科学 2021-05-25 Farnaz Jahanbakhsh , Amy X. Zhang , Adam J. Berinsky , Gordon Pennycook , David G. Rand , David R. Karger

Amid a tidal wave of misinformation flooding social media during elections and crises, extensive research has been conducted on misinformation detection, primarily focusing on text-based or image-based approaches. However, only a few…

机器学习 · 计算机科学 2025-07-04 Gautam Kishore Shahi

The spread of misinformation can cause social confusion. The authenticity of information on a social networking service (SNS) is unknown, and false information can be easily spread. Consequently, many studies have been conducted on methods…

社会与信息网络 · 计算机科学 2021-01-26 Ryusuke Iizuka , Fujio Toriumi , Mao Nishiguchi , Masanori Takano , Mitsuo Yoshida

Online misinformation has been considered as one of the top global risks as it may cause serious consequences such as economic damages and public panic. The misinformation prevention problem aims at generating a positive cascade with…

社会与信息网络 · 计算机科学 2024-09-17 Gunagmo Tong , Ding-Zhu Du

Viral marketing is becoming important due to the popularity of online social networks (OSNs). Companies may provide incentives (e.g., via free samples of a product) to a small group of users in an OSN, and these users provide…

社会与信息网络 · 计算机科学 2014-07-21 Yongkun Li , John C. S. Lui

The move of propaganda and disinformation to the online environment is possible thanks to the fact that within the last decade, digital information channels radically increased in popularity as a news source. The main advantage of such…

计算与语言 · 计算机科学 2021-08-27 Aleš Horák , Vít Baisa , Ondřej Herman

This study uses agent-based modeling to examine the impact of various recommendation algorithms on the propagation of misinformation on online social networks. We simulate a synthetic environment consisting of heterogeneous agents,…

多智能体系统 · 计算机科学 2025-07-30 Lise Jakobsen , Anna Johanne Holden , Önder Gürcan , Özlem Özgöbek

Misinformation remains one of the most significant issues in the digital age. While automated fact-checking has emerged as a viable solution, most current systems are limited to evaluating factual accuracy. However, the detrimental effect…

Distributed computing models typically assume reliable communication between processors. While such assumptions often hold for engineered networks, e.g., due to underlying error correction protocols, their relevance to biological systems,…

分布式、并行与集群计算 · 计算机科学 2015-06-29 Ofer Feinerman , Bernhard Haeupler , Amos Korman

COVID-19 impacted every part of the world, although the misinformation about the outbreak traveled faster than the virus. Misinformation spread through online social networks (OSN) often misled people from following correct medical…

社会与信息网络 · 计算机科学 2022-09-08 Mohammad Majid Akhtar , Bibhas Sharma , Ishan Karunanayake , Rahat Masood , Muhammad Ikram , Salil S. Kanhere

The paper develops a blockchain protocol for a social media network (BE-SMN) to mitigate the spread of misinformation. BE-SMN is derived based on the information transmission-time distribution by modeling the misinformation transmission as…

社会与信息网络 · 计算机科学 2023-05-03 Rui Luo , Vikram Krishnamurthy , Erik Blasch

Bayesian optimal experiments that maximize the information gained from collected data are critical to efficiently identify behavioral models. We extend a seminal method for designing Bayesian optimal experiments by introducing two…

应用统计 · 统计学 2025-03-19 Stefano Balietti , Brennan Klein , Christoph Riedl

Recent years have witnessed remarkable progress towards computational fake news detection. To mitigate its negative impact, we argue that it is critical to understand what user attributes potentially cause users to share fake news. The key…

计算机与社会 · 计算机科学 2021-07-16 Lu Cheng , Ruocheng Guo , Kai Shu , Huan Liu

Fads, product adoption, mobs, rumors, memes, and emergent norms are diverse social contagions that have been modeled as network cascades. Empirical study of these cascades is vulnerable to what we describe as the "opacity problem": the…

社会与信息网络 · 计算机科学 2018-11-21 George Berry , Christopher J. Cameron , Patrick Park , Michael W. Macy

We propose an opinion dynamics model in which agents gradually increase their own self-confidence while interacting with each other. The relations between the newly proposed model and existing works of social learning, inertial opinion…

最优化与控制 · 数学 2016-09-20 Chu Wang

The wide spread of false information online including misinformation and disinformation has become a major problem for our highly digitised and globalised society. A lot of research has been done to better understand different aspects of…

社会与信息网络 · 计算机科学 2022-08-25 Haiyue Yuan , Enes Altuncu , Shujun Li , Can Baskent

The spread of information networks has not only made it easier for people to access a variety of information sources but also greatly enhanced the ability of individuals to disseminate information. Unfortunately, however, the problem of…

社会与信息网络 · 计算机科学 2020-11-12 Masaki Aida , Ayako Hashizume , Chisa Takano , Masayuki Murata

As growing usage of social media websites in the recent decades, the amount of news articles spreading online rapidly, resulting in an unprecedented scale of potentially fraudulent information. Although a plenty of studies have applied the…

机器学习 · 计算机科学 2023-04-21 Hao Chen , Peng Zheng , Xin Wang , Shu Hu , Bin Zhu , Jinrong Hu , Xi Wu , Siwei Lyu
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