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相关论文: Emotion Detection for Misinformation: A Review

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Fake news that manipulates political elections, strikes financial systems, and even incites riots is more viral than real news online, resulting in unstable societies and buffeted democracy. The easier contagion of fake news online can be…

社会与信息网络 · 计算机科学 2020-08-28 Yuwei Chuai , Jichang Zhao

The online spreading of fake news is a major issue threatening entire societies. Much of this spreading is enabled by new media formats, namely social networks and online media sites. Researchers and practitioners have been trying to answer…

人机交互 · 计算机科学 2022-04-28 Jakub Simko , Patrik Racsko , Matus Tomlein , Martin Hanakova , Robert Moro , Maria Bielikova

Children encounter misinformation on social media in a similar capacity as their parents. Unlike their parents, children are an exceptionally vulnerable population because their cognitive abilities and emotional regulation are still…

计算机与社会 · 计算机科学 2023-12-18 Filipo Sharevski , Jennifer Vander Loop

Rumours have existed for a long time and have been known for serious consequences. The rapid growth of social media platforms has multiplied the negative impact of rumours; it thus becomes important to early detect them. Many methods have…

社会与信息网络 · 计算机科学 2019-05-09 Tien Huu Do , Xiao Luo , Duc Minh Nguyen , Nikos Deligiannis

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

How do news sources tackle controversial issues? In this work, we take a data-driven approach to understand how controversy interplays with emotional expression and biased language in the news. We begin by introducing a new dataset of…

计算机与社会 · 计算机科学 2014-09-30 Yelena Mejova , Amy X. Zhang , Nicholas Diakopoulos , Carlos Castillo

Social media have become the main vehicle of information production and consumption online. Millions of users every day log on their Facebook or Twitter accounts to get updates and news, read about their topics of interest, and become…

社会与信息网络 · 计算机科学 2017-03-07 Emilio Ferrara , Zeyao Yang

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

As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours. While many sophisticated and successful…

计算与语言 · 计算机科学 2021-04-15 Kellin Pelrine , Jacob Danovitch , Reihaneh Rabbany

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…

计算机视觉与模式识别 · 计算机科学 2023-08-08 Yuyan Bu , Qiang Sheng , Juan Cao , Peng Qi , Danding Wang , Jintao Li

With the increasing popularity of smart devices, rumors with multimedia content become more and more common on social networks. The multimedia information usually makes rumors look more convincing. Therefore, finding an automatic approach…

计算与语言 · 计算机科学 2018-08-29 Weiming Wen , Songwen Su , Zhou Yu

Despite the influence that image-based communication has on online discourse, the role played by images in disinformation is still not well understood. In this paper, we present the first large-scale study of fauxtography, analyzing the use…

Emotion can be expressed in many ways that can be seen such as facial expression and gestures, speech and by written text. Emotion Detection in text documents is essentially a content - based classification problem involving concepts from…

人机交互 · 计算机科学 2012-05-23 Shiv Naresh Shivhare , Saritha Khethawat

The prevalence of new technologies and social media has amplified the effects of misinformation on our societies. Thus, it is necessary to create computational tools to mitigate their effects effectively. This study aims to provide a…

人机交互 · 计算机科学 2019-03-19 Alireza Karduni

Social media increasingly disseminates information through mixed image text posts, but rumors often exploit subtle inconsistencies and forged content, making detection based solely on post content difficult. Deep semantic mismatch rumors,…

机器学习 · 计算机科学 2026-03-17 Han Li , Hua Sun

Misleading information spreads on the Internet at an incredible speed, which can lead to irreparable consequences in some cases. It is becoming essential to develop fake news detection technologies. While substantial work has been done in…

计算与语言 · 计算机科学 2022-11-28 Daryna Dementieva , Mikhail Kuimov , Alexander Panchenko

Combating fake news needs a variety of defense methods. Although rumor detection and various linguistic analysis techniques are common methods to detect false content in social media, there are other feasible mitigation approaches that…

社会与信息网络 · 计算机科学 2019-04-08 Sina Mohseni , Eric Ragan , Xia Hu

Modern social media platforms play an important role in facilitating rapid dissemination of information through their massive user networks. Fake news, misinformation, and unverifiable facts on social media platforms propagate disharmony…

机器学习 · 计算机科学 2023-10-24 Mor Oren-Loberman , Vered Azar , Wasim Huleihel

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

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
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