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相关论文: Towards Understanding the Information Ecosystem Th…

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The news ecosystem has become increasingly complex, encompassing a wide range of sources with varying levels of trustworthiness, and with public commentary giving different spins to the same stories. In this paper, we present a…

计算机与社会 · 计算机科学 2021-03-08 Yuping Wang , Savvas Zannettou , Jeremy Blackburn , Barry Bradlyn , Emiliano De Cristofaro , Gianluca Stringhini

As the number and the diversity of news outlets on the Web grow, so does the opportunity for "alternative" sources of information to emerge. Using large social networks like Twitter and Facebook, misleading, false, or agenda-driven…

Over the past few years, a number of new "fringe" communities, like 4chan or certain subreddits, have gained traction on the Web at a rapid pace. However, more often than not, little is known about how they evolve or what kind of activities…

Internet memes are increasingly used to sway and manipulate public opinion. This prompts the need to study their propagation, evolution, and influence across the Web. In this paper, we detect and measure the propagation of memes across…

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

In recent years, malicious information had an explosive growth in social media, with serious social and political backlashes. Recent important studies, featuring large-scale analyses, have produced deeper knowledge about this phenomenon,…

社会与信息网络 · 计算机科学 2020-01-29 Francesco Pierri , Carlo Piccardi , Stefano Ceri

The plague of false information, popularly called fake news has affected lives of news consumers ever since the prevalence of social media. Thus understanding the spread of false information in social networks has gained a lot of attention…

社会与信息网络 · 计算机科学 2021-02-05 Bhavtosh Rath , Wei Gao , Jaideep Srivastava

Most of the information operations involve users who may foster polarization and distrust toward science and mainstream journalism, without these users being conscious of their role. Gab is well known to be an extremist-friendly platform…

社会与信息网络 · 计算机科学 2021-07-20 Gabriele Etta , Alessandro Galeazzi , Matteo Cinelli , Mauro Conti , Walter Quattrociocchi

Social media has become an important venue for diverse groups to share information, discuss political issues, and organize social movements. Recent scholarship has shown that the social media ecosystem can affect political thinking and…

社会与信息网络 · 计算机科学 2020-07-21 Nga Than , Maria Y. Rodriguez , Diane Yoong , Friederike Windel

The battle against the spread of misinformation on the Internet is a daunting task faced by modern society. Fake news content is primarily distributed through digital platforms, with websites dedicated to producing and disseminating such…

Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous,…

计算机与社会 · 计算机科学 2010-03-16 Kristina Lerman , Rumi Ghosh

As people rely on social media as their primary sources of news, the spread of misinformation has become a significant concern. In this large-scale study of news in social media we analyze eleven million posts and investigate propagation…

社会与信息网络 · 计算机科学 2018-12-11 Maria Glenski , Tim Weninger , Svitlana Volkova

The wide spread of false information online including misinformation and disinformation has become a major problem for our highly digitised and globalised society. A lot of research has been done to better understand different aspects of…

社会与信息网络 · 计算机科学 2022-08-25 Haiyue Yuan , Enes Altuncu , Shujun Li , Can Baskent

Social networks readily transmit information, albeit with less than perfect fidelity. We present a large-scale measurement of this imperfect information copying mechanism by examining the dissemination and evolution of thousands of memes,…

社会与信息网络 · 计算机科学 2016-05-24 Lada A. Adamic , Thomas M. Lento , Eytan Adar , Pauline C. Ng

Users online tend to consume information adhering to their system of beliefs and to ignore dissenting information. During the COVID-19 pandemic, users get exposed to a massive amount of information about a new topic having a high level of…

社会与信息网络 · 计算机科学 2021-06-09 Gabriele Etta , Matteo Cinelli , Alessandro Galeazzi , Carlo Michele Valensise , Mauro Conti , Walter Quattrociocchi

Social networks play a fundamental role in the diffusion of information. However, there are two different ways of how information reaches a person in a network. Information reaches us through connections in our social networks, as well as…

社会与信息网络 · 计算机科学 2012-06-08 Seth A. Myers , Chenguang Zhu , Jure Leskovec

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…

Media seems to have become more partisan, often providing a biased coverage of news catering to the interest of specific groups. It is therefore essential to identify credible information content that provides an objective narrative of an…

人工智能 · 计算机科学 2017-05-16 Subhabrata Mukherjee , Gerhard Weikum

Social media for news consumption is becoming increasingly popular due to its easy access, fast dissemination, and low cost. However, social media also enable the wide propagation of "fake news", i.e., news with intentionally false…

社会与信息网络 · 计算机科学 2018-04-30 Kai Shu , H. Russell Bernard , Huan Liu

The dissemination of fake news intended to deceive people, influence public opinion and manipulate social outcomes, has become a pressing problem on social media. Moreover, information sharing on social media facilitates diffusion of viral…

社会与信息网络 · 计算机科学 2020-08-11 Karishma Sharma , Xinran He , Sungyong Seo , Yan Liu
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