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The use of social media platforms has been gradually increasing and fake news spreading is becoming an alarming issue nowadays. The spreading of fake news means disseminating false, confusing, and spurious information which hurts families,…

社会与信息网络 · 计算机科学 2024-10-30 Umme Faria Moon , MD Ahsan Habib Rasel , Md. Musfique Anwar

The spread of fake news has long been a social issue and the necessity of identifying it has become evident since its dangers are well recognized. In addition to causing uneasiness among the public, it has even more devastating…

社会与信息网络 · 计算机科学 2022-08-24 Yuxuan Tian

We study the problem of finding fake online news. This is an important problem as news of questionable credibility have recently been proliferating in social media at an alarming scale. As this is an understudied problem, especially for…

计算与语言 · 计算机科学 2019-11-20 Momchil Hardalov , Ivan Koychev , Preslav Nakov

The rise of fake news in the past decade has brought with it a host of consequences, from swaying opinions on elections to generating uncertainty during a pandemic. A majority of methods developed to combat disinformation either focus on…

计算机与社会 · 计算机科学 2021-08-26 Mansooreh Karami , Tahora H. Nazer , Huan Liu

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

Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs…

社会与信息网络 · 计算机科学 2021-11-24 Chahat Raj , Priyanka Meel

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…

Social media are nowadays one of the main news sources for millions of people around the globe due to their low cost, easy access and rapid dissemination. This however comes at the cost of dubious trustworthiness and significant risk of…

社会与信息网络 · 计算机科学 2019-02-19 Federico Monti , Fabrizio Frasca , Davide Eynard , Damon Mannion , Michael M. Bronstein

Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data. Consequently, the latter crowdsourcing model is exposed to…

An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not been explored much from a network analysis perspective. In…

社会与信息网络 · 计算机科学 2020-11-24 Bhavtosh Rath , Aadesh Salecha , Jaideep Srivastava

Internet is one of the important inventions and a large number of persons are its users. These persons use this for different purposes. There are different social media platforms that are accessible to these users. Any user can make a post…

计算机与社会 · 计算机科学 2021-02-10 Alim Al Ayub Ahmed , Ayman Aljabouh , Praveen Kumar Donepudi , Myung Suh Choi

Today's social media platforms enable to spread both authentic and fake news very quickly. Some approaches have been proposed to automatically detect such "fake" news based on their content, but it is difficult to agree on universal…

社会与信息网络 · 计算机科学 2018-08-30 Oana Balmau , Rachid Guerraoui , Anne-Marie Kermarrec , Alexandre Maurer , Matej Pavlovic , Willy Zwaenepoel

Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase in information accessibility but has also accelerated the…

计算与语言 · 计算机科学 2020-07-09 Ray Oshikawa , Jing Qian , William Yang Wang

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

The problem associated with the propagation of fake news continues to grow at an alarming scale. This trend has generated much interest from politics to academia and industry alike. We propose a framework that detects and classifies fake…

社会与信息网络 · 计算机科学 2018-07-02 Oluwaseun Ajao , Deepayan Bhowmik , Shahrzad Zargari

The popularity of online social networks has enabled rapid dissemination of information. People now can share and consume information much more rapidly than ever before. However, low-quality and/or accidentally/deliberately fake information…

社会与信息网络 · 计算机科学 2023-07-25 Shuzhi Gong , Richard O. Sinnott , Jianzhong Qi , Cecile Paris

Easier access to the internet and social media has made disseminating information through online sources very easy. Sources like Facebook, Twitter, online news sites and personal blogs of self-proclaimed journalists have become significant…

计算与语言 · 计算机科学 2021-09-28 Shaily Bhatt , Sakshi Kalra , Naman Goenka , Yashvardhan Sharma

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…

Although significant effort has been applied to fact-checking, the prevalence of fake news over social media, which has profound impact on justice, public trust and our society, remains a serious problem. In this work, we focus on…

社会与信息网络 · 计算机科学 2020-08-17 Yi Han , Shanika Karunasekera , Christopher Leckie

Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. On the other hand, it enables the wide…

社会与信息网络 · 计算机科学 2017-09-05 Kai Shu , Amy Sliva , Suhang Wang , Jiliang Tang , Huan Liu
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