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The world's digital information ecosystem continues to struggle with the spread of misinformation. Prior work has suggested that users who consistently disseminate a disproportionate amount of low-credibility content -- so-called…

社会与信息网络 · 计算机科学 2024-02-01 Matthew R. DeVerna , Rachith Aiyappa , Diogo Pacheco , John Bryden , Filippo Menczer

As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking advantage of the fact that visual modalities such as images…

机器学习 · 计算机科学 2024-09-19 Sara Abdali , Sina shaham , Bhaskar Krishnamachari

Recent work in the domain of misinformation detection has leveraged rich signals in the text and user identities associated with content on social media. But text can be strategically manipulated and accounts reopened under different…

社会与信息网络 · 计算机科学 2020-02-07 Nir Rosenfeld , Aron Szanto , David C. Parkes

Disinformation, which is fabricated, misleading content spread with the intent to deceive others, is accumulating substantial engagements and reaching a vast audience on Instagram. However, the temporary nature of the platform and the…

数字图书馆 · 计算机科学 2023-04-06 Haley Bragg , Michele Weigle

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

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

Misinformation spreads rapidly on social media, causing serious damage by influencing public opinion, promoting dangerous behavior, or eroding trust in reliable sources. It spreads too fast for traditional fact-checking, stressing the need…

计算与语言 · 计算机科学 2024-08-09 Megha Sundriyal , Harshit Choudhary , Tanmoy Chakraborty , Md Shad Akhtar

Estimation of mis/disinformation prevalence in social media is crucial for designing mitigation strategies to limit its impact. Yet, such estimations are subject to several uncertainties that are rarely quantified jointly. In this study, we…

社会与信息网络 · 计算机科学 2026-03-13 Ishari Amarasinghe , Salvatore Romano , Jacopo Amidei , Emmanuel M. Vincent , Andreas Kaltenbrunner

Compromising legitimate accounts is a way of disseminating malicious content to a large user base in Online Social Networks (OSNs). Since the accounts cause lots of damages to the user and consequently to other users on OSNs, early…

密码学与安全 · 计算机科学 2022-06-10 Forough Farazmanesh , Fateme Foroutan , Amir Jalaly Bidgoly

In recent years, malicious information had an explosive growth in social media, with serious social and political backlashes. Recent important studies, featuring large-scale analyses, have produced deeper knowledge about this phenomenon,…

社会与信息网络 · 计算机科学 2020-01-29 Francesco Pierri , Carlo Piccardi , Stefano Ceri

The internet, Online Social Networks (OSNs) and smart phones enable users to create tremendous amount of information. Users who search for general or specific knowledge may not have these days problems of information scarce but…

社会与信息网络 · 计算机科学 2021-02-24 Izzat Alsmadi , Iyad Alazzam , Mohammad A. AlRamahi

Social networking and micro-blogging services, such as Twitter, play an important role in sharing digital information. Despite the popularity and usefulness of social media, they are regularly abused by corrupt users. One of these nefarious…

社会与信息网络 · 计算机科学 2022-10-28 Tanveer Khan , Antonis Michalas

With the advent of social media, an increasing number of netizens are sharing and reading posts and news online. However, the huge volumes of misinformation (e.g., fake news and rumors) that flood the internet can adversely affect people's…

计算与语言 · 计算机科学 2024-02-15 Zhiwei Liu , Tianlin Zhang , Kailai Yang , Paul Thompson , Zeping Yu , Sophia Ananiadou

The behaviour of sharing information on social media should be fulfilled only when a user is exhibiting attentive behaviour. So that the useful information can be consumed constructively, and misinformation can be identified and ignored.…

社会与信息网络 · 计算机科学 2020-12-29 Zaid Amin , Nazlena Mohamad Ali , Alan F. Smeaton

Social media's unfettered access has made it an important venue for health discussion and a resource for patients and their loved ones. However, the quality of the information available, as well as the motivations of its posters, has been…

计算机与社会 · 计算机科学 2018-09-10 Amira Ghenai , Yelena Mejova

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

Online misinformation is a prevalent societal issue, with adversaries relying on tools ranging from cheap fakes to sophisticated deep fakes. We are motivated by the threat scenario where an image is used out of context to support a certain…

计算机视觉与模式识别 · 计算机科学 2021-09-23 Grace Luo , Trevor Darrell , Anna Rohrbach

Misinformation proliferation on social media platforms is a pervasive threat to the integrity of online public discourse. Genuine users, susceptible to others' influence, often unknowingly engage with, endorse, and re-share questionable…

社会与信息网络 · 计算机科学 2025-01-30 Jinyi Ye , Luca Luceri , Julie Jiang , Emilio Ferrara

With the rapid growth of social media, massive misinformation is also spreading widely on social media, such as microblog, and bring negative effects to human life. Nowadays, automatic misinformation identification has drawn attention from…

信息检索 · 计算机科学 2017-06-21 Qiang Liu , Feng Yu , Shu Wu , Liang Wang

We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contributors annotate misinformation and simultaneously rate the…

社会与信息网络 · 计算机科学 2022-10-31 Stefan Wojcik , Sophie Hilgard , Nick Judd , Delia Mocanu , Stephen Ragain , M. B. Fallin Hunzaker , Keith Coleman , Jay Baxter