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Related papers: Designing Indicators to Combat Fake Media

200 papers

In recent years, industry leaders and researchers have proposed to use technical provenance standards to address visual misinformation spread through digitally altered media. By adding immutable and secure provenance information such as…

Human-Computer Interaction · Computer Science 2023-09-12 K. J. Kevin Feng , Nick Ritchie , Pia Blumenthal , Andy Parsons , Amy X. Zhang

Fake news has become omnipresent in digitalized areas such as social media platforms. While being disseminated online, it also poses a threat to individuals and societies offline, for example, in the context of democratic elections.…

Human-Computer Interaction · Computer Science 2021-09-29 Enrico Bunde , Niklas Kühl , Christian Meske

The threat posed by misinformation and disinformation is one of the defining challenges of the 21st century. Provenance is designed to help combat this threat by warning users when the content they are looking at may be misinformation or…

Disinformation is proliferating on the internet, and platforms are responding by attaching warnings to content. There is little evidence, however, that these warnings help users identify or avoid disinformation. In this work, we adapt…

Human-Computer Interaction · Computer Science 2021-08-18 Ben Kaiser , Jerry Wei , Eli Lucherini , Kevin Lee , J. Nathan Matias , Jonathan Mayer

With information consumption via online video streaming becoming increasingly popular, misinformation video poses a new threat to the health of the online information ecosystem. Though previous studies have made much progress in detecting…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Yuyan Bu , Qiang Sheng , Juan Cao , Peng Qi , Danding Wang , Jintao Li

Since 2016, the amount of academic research with the keyword "misinformation" has more than doubled [2]. This research often focuses on article headlines shown in artificial testing environments, yet misinformation largely spreads through…

Human-Computer Interaction · Computer Science 2020-12-16 Emily Saltz , Claire Leibowicz , Claire Wardle

Reducing the spread of misinformation is challenging. AI-based fact verification systems offer a promising solution by addressing the high costs and slow pace of traditional fact-checking. However, the problem of how to effectively…

Human-Computer Interaction · Computer Science 2025-03-14 Huiyun Tang , Björn Rohles , Yuwei Chuai , Gabriele Lenzini , Anastasia Sergeeva

With the rapid growth of online misinformation, it is crucial to have reliable fact-checking methods. Recent research on finding check-worthy claims and automated fact-checking have made significant advancements. However, limited guidance…

Information Retrieval · Computer Science 2023-12-29 Danula Hettiachchi , Kaixin Ji , Jenny Kennedy , Anthony McCosker , Flora D. Salim , Mark Sanderson , Falk Scholer , Damiano Spina

Misinformation has disruptive effects on our lives. Many researchers have looked into means to identify and combat misinformation in text or data visualization. However, there is still a lack of understanding of how misinformation can be…

Human-Computer Interaction · Computer Science 2022-05-25 Chengbo Zheng , Xiaojuan Ma

With the prevalence of misinformation online, researchers have focused on developing various machine learning algorithms to detect fake news. However, users' perception of machine learning outcomes and related behaviors have been widely…

Human-Computer Interaction · Computer Science 2019-11-28 Limeng Cui

The most effective misinformation campaigns are multimodal, often combining text with images and videos taken out of context -- or fabricating them entirely -- to support a given narrative. Contemporary methods for detecting misinformation,…

Computation and Language · Computer Science 2025-02-17 Tomas Peterka , Matyas Bohacek

As news organizations embrace transparency practices on their websites to distinguish themselves from those spreading misinformation, HCI designers have the opportunity to help them effectively utilize the ideals of transparency to build…

Human-Computer Interaction · Computer Science 2021-09-21 Md Momen Bhuiyan , Hayden Whitley , Michael Horning , Sang Won Lee , Tanushree Mitra

Fake news detection algorithms apply machine learning to various news attributes and their relationships. However, their success is usually evaluated based on how the algorithm performs on a static benchmark, independent of real users. On…

Human-Computer Interaction · Computer Science 2023-04-18 Bruno Tafur , Advait Sarkar

In this position paper we approach problems concerning critical digital and information literacy with ideas to provide more digestible explanations of abstract concepts through interface design. In particular, we focus on social media…

Human-Computer Interaction · Computer Science 2021-06-04 Jan Wolff

Analytic provenance can be visually encoded to help users track their ongoing analysis trajectories, recall past interactions, and inform new analytic directions. Despite its significance, provenance is often hardwired into analytics…

Human-Computer Interaction · Computer Science 2025-05-20 Arpit Narechania , Shunan Guo , Eunyee Koh , Alex Endert , Jane Hoffswell

As generative AI is increasingly contributing to the spread of deceptively realistic misinformation, lawmakers have introduced regulations requiring the disclosure of AI-generated content. However, it is unclear if labels reduce the risk of…

How can we best address the dangerous impact that deep learning-generated fake audios, photographs, and videos (a.k.a. deepfakes) may have in personal and societal life? We foresee that the availability of cheap deepfake technology will…

Computers and Society · Computer Science 2022-04-05 Claudio S. Pinhanez , German H. Flores , Marisa A. Vasconcelos , Mu Qiao , Nick Linck , Rogério de Paula , Yuya J. Ong

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion. While much of the earlier research…

Machine Learning · Computer Science 2019-01-23 Karishma Sharma , Feng Qian , He Jiang , Natali Ruchansky , Ming Zhang , Yan Liu

Cheapfakes, or real images presented misleadingly or in unrelated contexts, are an increasingly prominent form of visual misinformation. While media literacy interventions can enhance individuals' ability to detect such content,…

Human-Computer Interaction · Computer Science 2026-05-21 Sijia Qian , Cuihua Shen , Jingwen Zhang , Magdalena Wojcieszak

Fake news is a growing problem in developing countries with potentially far-reaching consequences. We conduct a randomized experiment in urban Pakistan to evaluate the effectiveness of two educational interventions to counter misinformation…

General Economics · Economics 2021-07-07 Ayesha Ali , Ihsan Ayyub Qazi
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