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相关论文: Open Issues in Combating Fake News: Interpretabili…

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The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion. While much of the earlier research…

机器学习 · 计算机科学 2019-01-23 Karishma Sharma , Feng Qian , He Jiang , Natali Ruchansky , Ming Zhang , Yan Liu

Nowadays, artificial intelligence algorithms are used for targeted and personalized content distribution in the large scale as part of the intense competition for attention in the digital media environment. Unfortunately, targeted…

社会与信息网络 · 计算机科学 2018-12-05 Sina Mohseni , Eric Ragan

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

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

Combating fake news and misinformation propagation is a challenging task in the post-truth era. News feed and search algorithms could potentially lead to unintentional large-scale propagation of false and fabricated information with users…

信息检索 · 计算机科学 2020-07-28 Sina Mohseni , Fan Yang , Shiva Pentyala , Mengnan Du , Yi Liu , Nic Lupfer , Xia Hu , Shuiwang Ji , Eric Ragan

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

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…

People now see social media sites as their sole source of information due to their popularity. The Majority of people get their news through social media. At the same time, fake news has grown exponentially on social media platforms in…

人工智能 · 计算机科学 2022-07-26 Athira A B , S D Madhu Kumar , Anu Mary Chacko

The pervasiveness of the dissemination of fake news through social media platforms poses critical risks to the trust of the general public, societal stability, and democratic institutions. This challenge calls for novel methodologies in…

计算与语言 · 计算机科学 2025-02-04 Jingyuan Yi , Zeqiu Xu , Tianyi Huang , Peiyang Yu

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

Fake news detection research is still in the early stage as this is a relatively new phenomenon in the interest raised by society. Machine learning helps to solve complex problems and to build AI systems nowadays and especially in those…

计算与语言 · 计算机科学 2022-01-20 Sajjad Ahmed , Knut Hinkelmann , Flavio Corradini

Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its…

Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how…

计算与语言 · 计算机科学 2020-09-18 Xinyi Zhou , Atishay Jain , Vir V. Phoha , Reza Zafarani

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

With the explosive growth of online social media, the ancient problem of information disorders interfering with news diffusion has surfaced with a renewed intensity threatening our democracies, public health, and news outlets' credibility.…

计算机与社会 · 计算机科学 2023-01-18 Giancarlo Ruffo , Alfonso Semeraro , Anastasia Giachanou , Paolo Rosso

The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news detection and intervention. This survey reviews and evaluates methods that can detect fake news from four…

计算与语言 · 计算机科学 2020-07-21 Xinyi Zhou , Reza Zafarani

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 rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs. Rapidly detecting fake news, especially as new events arise, is important to…

计算与语言 · 计算机科学 2023-09-27 Nikhil Mehta , Dan Goldwasser

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

Online users today are exposed to misleading and propagandistic news articles and media posts on a daily basis. To counter thus, a number of approaches have been designed aiming to achieve a healthier and safer online news and media…

计算与语言 · 计算机科学 2021-08-31 Seunghak Yu , Giovanni Da San Martino , Mitra Mohtarami , James Glass , Preslav Nakov
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