中文
相关论文

相关论文: Evaluating the Effect of Enhanced Text-Visualizati…

200 篇论文

Detecting out-of-context media, such as "mis-captioned" images on Twitter, is a relevant problem, especially in domains of high public significance. In this work we aim to develop defenses against such misinformation for the topics of…

计算机视觉与模式识别 · 计算机科学 2022-05-04 Giscard Biamby , Grace Luo , Trevor Darrell , Anna Rohrbach

Crowdfunding has emerged as a prominent way for entrepreneurs to secure funding without sophisticated intermediation. In crowdfunding, an entrepreneur often has to decide how to disclose the campaign status in order to collect as many…

人工智能 · 计算机科学 2018-03-30 Wen Shen , Jacob W. Crandall , Ke Yan , Cristina V. Lopes

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…

人机交互 · 计算机科学 2023-09-12 K. J. Kevin Feng , Nick Ritchie , Pia Blumenthal , Andy Parsons , Amy X. Zhang

As online news increasingly include data journalism, there is a corresponding increase in the incorporation of visualization in article thumbnail images. However, little research exists on the design rationale for visualization thumbnails,…

Social media misinformation harms individuals and societies and is potentialized by fast-growing multi-modal content (i.e., texts and images), which accounts for higher "credibility" than text-only news pieces. Although existing supervised…

人工智能 · 计算机科学 2023-11-27 Hui Liu , Wenya Wang , Hao Sun , Anderson Rocha , Haoliang Li

Visualization has long been seen as a dependable and trustworthy tool for carrying out analysis and communication tasks -- a view reinforced by the growing interest in applying it to socially positive ends. However, despite the benign light…

人机交互 · 计算机科学 2021-09-23 Andrew M McNutt , Lilian Huang , Kathryn Koenig

Misinformation during pandemic situations like COVID-19 is growing rapidly on social media and other platforms. This expeditious growth of misinformation creates adverse effects on the people living in the society. Researchers are trying…

社会与信息网络 · 计算机科学 2022-08-05 A. R. Sana Ullah , Anupam Das , Anik Das , Muhammad Ashad Kabir , Kai Shu

With the expansion of social media and the increasing dissemination of multimedia content, the spread of misinformation has become a major concern. This necessitates effective strategies for multimodal misinformation detection (MMD) that…

Misinformation detection is a critical task that can benefit significantly from the integration of external knowledge, much like manual fact-checking. In this work, we propose a novel method for representing textual documents that…

计算与语言 · 计算机科学 2026-02-13 Géraud Faye , Wassila Ouerdane , Guillaume Gadek , Sylvain Gatepaille , Céline Hudelot

Many visual representations, such as volume-rendered images and metro maps, feature a noticeable amount of information loss. At a glance, there seem to be numerous opportunities for viewers to misinterpret the data being visualized, hence…

人机交互 · 计算机科学 2022-04-05 Min Chen , Alfie Abdul-Rahman , Deborah Silver , Mateu Sbert

Misinformation proliferates in the online sphere, with evident impacts on the political and social realms, influencing democratic discourse and posing risks to public health and safety. The corporate world is also a prime target for fake…

计算机与社会 · 计算机科学 2024-01-05 Ke Zhou , Sanja Scepanovic , Daniele Quercia

With the rapid development of deepfake technology, especially the deep audio fake technology, misinformation detection on the social media scene meets a great challenge. Social media data often contains multimodal information which includes…

多媒体 · 计算机科学 2024-08-23 Moyang Liu , Yukun Liu , Ruibo Fu , Zhengqi Wen , Jianhua Tao , Xuefei Liu , Guanjun Li

Rapid information diffusion and large-scaled information cascades can enable the undesired spread of false information. A small-scaled false information outbreak may potentially lead to an infodemic. We propose a novel information diffusion…

社会与信息网络 · 计算机科学 2021-07-13 Ke Wang , Waheeb Yaqub , Abdallah Lakhdari , Basem Suleiman

The rapid spread of misinformation on digital platforms threatens public discourse, emotional stability, and decision-making. While prior work has explored various adversarial attacks in misinformation detection, the specific…

计算与语言 · 计算机科学 2025-10-13 Nouar Aldahoul , Yasir Zaki

Misleading visualizations are a potent driver of misinformation on social media and the web. By violating chart design principles, they distort data and lead readers to draw inaccurate conclusions. Prior work has shown that both humans and…

计算与语言 · 计算机科学 2026-04-20 Jonathan Tonglet , Jan Zimny , Tinne Tuytelaars , Iryna Gurevych

Data visualization techniques proffer efficient means to organize and present data in graphically appealing formats, which not only speeds up the process of decision making and pattern recognition but also enables decision-makers to fully…

数字图书馆 · 计算机科学 2020-09-29 Shashwat Aggarwal , Ramesh Singh

Detecting false information on social media is critical in mitigating its negative societal impacts. To reduce the propagation of false information, automated detection provide scalable, unbiased, and cost-effective methods. However, there…

社会与信息网络 · 计算机科学 2024-09-09 Sarah Condran

Fake news has now grown into a big problem for societies and also a major challenge for people fighting disinformation. This phenomenon plagues democratic elections, reputations of individual persons or organizations, and has negatively…

Data-driven storytelling has gained prominence in journalism and other data reporting fields. However, the process of creating these stories remains challenging, often requiring the integration of effective visualizations with compelling…

人机交互 · 计算机科学 2025-04-01 Yu Fu , Dennis Bromley , Vidya Setlur

While it is often assumed that searching for information to evaluate misinformation will help identify false claims, recent work suggests that search behaviours can instead reinforce belief in misleading news, particularly when users…