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Mis/disinformation is a common and dangerous occurrence on social media. Misattribution is a form of mis/disinformation that deals with a false claim of authorship, which means a user is claiming someone said (posted) something they never…

信息检索 · 计算机科学 2024-10-10 Ashlyn M. Farris , Michael L. Nelson

Screenshots of social media posts are a common approach for information sharing. Unfortunately, before sharing a screenshot, users rarely verify whether the attribution of the post is fake or real. There are numerous legitimate reasons to…

数字图书馆 · 计算机科学 2025-10-28 Tarannum Zaki , Michael L. Nelson , Michele C. Weigle

Screenshots are prevalent on social media as a common approach for information sharing. Users rarely verify before sharing a screenshot whether the post it contains is fake or real. Information sharing through fake screenshots can be highly…

信息检索 · 计算机科学 2023-06-16 Tarannum Zaki , Michael L. Nelson , Michele C. Weigle

While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this…

During sudden onset crisis events, the presence of spam, rumors and fake content on Twitter reduces the value of information contained on its messages (or "tweets"). A possible solution to this problem is to use machine learning to…

密码学与安全 · 计算机科学 2015-02-02 Aditi Gupta , Ponnurangam Kumaraguru , Carlos Castillo , Patrick Meier

Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the main drivers of the…

信息检索 · 计算机科学 2020-10-08 Nguyen Vo , Kyumin Lee

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

The spread of misinformation on social media is a pressing societal problem that platforms, policymakers, and researchers continue to grapple with. As a countermeasure, recent works have proposed to employ non-expert fact-checkers in the…

社会与信息网络 · 计算机科学 2023-03-28 Chiara Drolsbach , Nicolas Pröllochs

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from…

信息检索 · 计算机科学 2013-08-13 Srijith Ravikumar , Kartik Talamadupula , Raju Balakrishnan , Subbarao Kambhampati

Large numbers of people use Social Networking Services (SNS) for easy access to various news, but they have more opportunities to obtain and share ``fake news'' carrying false information. Partially to combat fake news, several…

计算机与社会 · 计算机科学 2020-07-29 Taichi Murayama , Shoko Wakamiya , Eiji Aramaki

Deploying links to fact-checking websites (so-called "snoping") is a common intervention that can be used by social media users to refute misleading claims. However, its real-world effect may be limited as it suffers from low visibility and…

社会与信息网络 · 计算机科学 2023-09-19 Moritz Pilarski , Kirill Solovev , Nicolas Pröllochs

Over the past decade, fake news and misinformation have turned into a major problem that has impacted different aspects of our lives, including politics and public health. Inspired by natural human behavior, we present an approach that…

计算与语言 · 计算机科学 2022-01-04 Zahra Ghadiri , Milad Ranjbar , Fakhteh Ghanbarnejad , Sadegh Raeisi

Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or `fake news,' present in these platforms. This paper develops a…

社会与信息网络 · 计算机科学 2018-06-01 Cody Buntain , Jennifer Golbeck

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

This study addresses the critical challenge of detecting DeepFake tweets by leveraging advanced natural language processing (NLP) techniques to distinguish between genuine and AI-generated texts. Given the increasing prevalence of…

计算与语言 · 计算机科学 2024-06-25 Adam Frej , Adrian Kaminski , Piotr Marciniak , Szymon Szmajdzinski , Soveatin Kuntur , Anna Wroblewska

Online misinformation has been a serious threat to public health and society. Social media users are known to reply to misinformation posts with counter-misinformation messages, which have been shown to be effective in curbing the spread of…

社会与信息网络 · 计算机科学 2023-03-17 Yingchen Ma , Bing He , Nathan Subrahmanian , Srijan Kumar

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

In recent years, the proliferation of misinformation on social media platforms has become a significant concern. Initially designed for sharing information and fostering social connections, platforms like Twitter (now rebranded as X) have…

计算机与社会 · 计算机科学 2026-01-28 Uku Kangur , Roshni Chakraborty , Rajesh Sharma

Veracity of data posted on the microblog platforms has in recent years been a subject of intensive study by professionals specializing in various fields of informatics as well as sociology, particularly in the light of increasing importance…

社会与信息网络 · 计算机科学 2021-01-20 Majed Alrubaian , Muhammad Al-Qurishi , Sherif Omar , Mohamed A. Mostafa
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