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相关论文: False News On Social Media: A Data-Driven Survey

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The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the sources that spread this news is important to maintain a…

计算与语言 · 计算机科学 2024-04-30 Nikhil Mehta , Dan Goldwasser

Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand…

信息检索 · 计算机科学 2016-06-29 Fattane Zarrinkalam , Ebrahim Bagheri

In this paper, we present a comprehensive survey on the pervasive issue of medical misinformation in social networks from the perspective of information technology. The survey aims at providing a systematic review of related research and…

Due to extensive spread of fake news on social and news media it became an emerging research topic now a days that gained attention. In the news media and social media the information is spread highspeed but without accuracy and hence…

人工智能 · 计算机科学 2022-01-21 Sajjad Ahmed , Knut Hinkelmann , Flavio Corradini

'Fake news' is information that generally spreads on the web, which only mimics the form of reliable news media content. The phenomenon has assumed uncontrolled proportions in recent years rising the concern of authorities and citizens. In…

社会与信息网络 · 计算机科学 2020-12-01 Davide Bennato , Giuseppe Pernagallo , Benedetto Torrisi

Data science research into fake news has gathered much momentum in recent years, arguably facilitated by the emergence of large public benchmark datasets. While it has been well-established within media studies that gender bias is an issue…

计算机与社会 · 计算机科学 2023-02-07 Navya Sahadevan , Deepak P

The spread of fake news has emerged as a critical challenge, undermining trust and posing threats to society. In the era of Large Language Models (LLMs), the capability to generate believable fake content has intensified these concerns. In…

计算与语言 · 计算机科学 2023-09-19 Jinyan Su , Terry Yue Zhuo , Jonibek Mansurov , Di Wang , Preslav Nakov

A new era of Information Warfare has arrived. Various actors, including state-sponsored ones, are weaponizing information on Online Social Networks to run false information campaigns with targeted manipulation of public opinion on specific…

社会与信息网络 · 计算机科学 2019-07-22 Savvas Zannettou , Michael Sirivianos , Jeremy Blackburn , Nicolas Kourtellis

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…

In recent years, `fake news' has become a global issue that raises unprecedented challenges for human society and democracy. This problem has arisen due to the emergence of various concomitant phenomena such as (1) the digitization of human…

密码学与安全 · 计算机科学 2019-03-29 Adnan Qayyum , Junaid Qadir , Muhammad Umar Janjua , Falak Sher

The proliferation of fake news poses a serious threat to society, as it can misinform and manipulate the public, erode trust in institutions, and undermine democratic processes. To address this issue, we present FakeSwarm, a fake news…

社会与信息网络 · 计算机科学 2023-11-01 Jun Wu , Xuesong Ye

The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources, thus increasing the need for…

计算与语言 · 计算机科学 2017-08-24 Verónica Pérez-Rosas , Bennett Kleinberg , Alexandra Lefevre , Rada Mihalcea

We propose multi-agent reinforcement learning as a new method for modeling fake news in social networks. This method allows us to model human behavior in social networks both in unaccustomed populations and in populations that have adapted…

人工智能 · 计算机科学 2025-10-14 Christoph Aymanns , Jakob Foerster , Co-Pierre Georg , Matthias Weber

In recent years, with the expansion of the Internet and attractive social media infrastructures, people prefer to follow the news through these media. Despite the many advantages of these media in the news field, the lack of any control and…

社会与信息网络 · 计算机科学 2021-09-13 Ali Jarrahi , Leila Safari

With the rapid evolution of social media, fake news has become a significant social problem, which cannot be addressed in a timely manner using manual investigation. This has motivated numerous studies on automating fake news detection.…

计算与语言 · 计算机科学 2021-02-25 Amila Silva , Ling Luo , Shanika Karunasekera , Christopher Leckie

The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread quickly due to the ease of creating and disseminating…

The buzz over the so-called "fake news" has created concerns about a degenerated media environment and led to the need for technological solutions. As the detection of fake news is increasingly considered a technological problem, it has…

社会与信息网络 · 计算机科学 2023-02-03 Frosso Papanastasiou , Georgios Katsimpras , Georgios Paliouras

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

It has been argued that fake news and the spread of false information pose a threat to societies throughout the world, from influencing the results of elections to hindering the efforts to manage the COVID-19 pandemic. To combat this…

计算与语言 · 计算机科学 2021-10-22 Nathaniel Hoy , Theodora Koulouri

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