標(biāo)題: Titlebook: Data Science for Fake News; Surveys and Perspect Deepak P,Tanmoy Chakraborty,Santhosh Kumar G Book 2021 Springer Nature Switzerland AG 2021 [打印本頁(yè)] 作者: 生長(zhǎng)變吼叫 時(shí)間: 2025-3-21 19:36
書(shū)目名稱Data Science for Fake News影響因子(影響力)
書(shū)目名稱Data Science for Fake News影響因子(影響力)學(xué)科排名
書(shū)目名稱Data Science for Fake News網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Data Science for Fake News網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Data Science for Fake News被引頻次
書(shū)目名稱Data Science for Fake News被引頻次學(xué)科排名
書(shū)目名稱Data Science for Fake News年度引用
書(shū)目名稱Data Science for Fake News年度引用學(xué)科排名
書(shū)目名稱Data Science for Fake News讀者反饋
書(shū)目名稱Data Science for Fake News讀者反饋學(xué)科排名
作者: Genteel 時(shí)間: 2025-3-21 20:47
The Information Retrieval Serieshttp://image.papertrans.cn/d/image/263117.jpg作者: 微生物 時(shí)間: 2025-3-22 00:38 作者: elastic 時(shí)間: 2025-3-22 07:31
978-3-030-62698-3Springer Nature Switzerland AG 2021作者: ciliary-body 時(shí)間: 2025-3-22 11:07
https://doi.org/10.1007/978-3-540-85056-4at the multifaceted approach to fake news we have used in this book is quite unique and hopefully will open up fresh perspectives and questions for the interested reader. In this chapter, we start by motivating the need for such a multifaceted approach toward fake news, followed by introducing the t作者: Evocative 時(shí)間: 2025-3-22 15:53 作者: Evocative 時(shí)間: 2025-3-22 20:35
https://doi.org/10.1007/978-3-662-11350-9uman cognition tends to consume news more when it is visually depicted through multimedia content than just plain text. Fake news spreaders leverage this cognitive state to prepare false information in such a way that it looks attractive in the first place. Therefore, multi-modal representation of f作者: 意見(jiàn)一致 時(shí)間: 2025-3-23 00:25
Guoxiang Hou,Caikan Chen,Kai Wangitigate its use are essential because of their potential to influence the information ecosystem. A vast amount of work using deep learning techniques paved a way to understand the anatomy of fake news and its spread through social media. This chapter attempts to take stock of such efforts and look b作者: Mendicant 時(shí)間: 2025-3-23 03:12 作者: Arthropathy 時(shí)間: 2025-3-23 09:37 作者: commute 時(shí)間: 2025-3-23 11:45
Hiroaki Nishikawa,Mani Rad,Philip Roes, a potential solution could involve a series of steps, including extracting statements from the news via text parsing, checking the validity of the extracted statements (i.e., fact checking), and classifying the news as fake if some statements have been confirmed to be false and performing further作者: largesse 時(shí)間: 2025-3-23 16:41 作者: AUGUR 時(shí)間: 2025-3-23 19:07
Computational Fluid Dynamics 2002looded with health-related information through various online platforms, many of which turn out to be inaccurate and misleading. This chapter provides an overview of various health fake news and related studies which have been reported in various news articles and scientific journals. Some of the st作者: Blemish 時(shí)間: 2025-3-23 23:55
Lionel Mathelin,M. Yousuff Hussainiveloping novel and effective machine learning pipelines. The field has flourished with the rapid advances in deep learning methodologies and the availability of several labelled datasets to benchmark methods. While treating fake news detection as yet another data analytics problem, there has been li作者: seroma 時(shí)間: 2025-3-24 05:18
Computational Fluid Dynamics 2004both national and international level. These are long-standing concerns within political science, but the problem of “fake news” and its associated impact on the fundamental political questions about who governs and how have taken on new potency in the digital age. In this chapter, we begin by consi作者: OTTER 時(shí)間: 2025-3-24 08:33
Computational Fluid Dynamics 2004 thread among many of these social behaviors is ., through falsehoods of many shades and grades that are quickly propagated to millions of people. In this chapter, we focus on disinformation propagation mainly in the garb of ., which contains deceptive, distorted, malicious, biased, polarizing, inac作者: aplomb 時(shí)間: 2025-3-24 12:09
Siro Kitamura,Yoshinori Inoue,Takehisa Iwaision in smartphone ownership and Internet access have created a “fake news” crisis in India which threatens both its democratic values and the security of its citizens. One of the unique features of India’s digital landscape is the prevalence of closed networks – ideologically homogeneous groups of 作者: Tempor 時(shí)間: 2025-3-24 16:29
Daniele Marobin,Gabriella Puppons, sometimes based on what they read from various platforms and sometimes based on what they are asked to believe in by political ideologies, fake news has become a phenomenon that requires serious academic investigation as it has dangerous consequences in society. This chapter attempts to argue fo作者: terazosin 時(shí)間: 2025-3-24 21:16 作者: Fatten 時(shí)間: 2025-3-25 02:29 作者: 不來(lái) 時(shí)間: 2025-3-25 06:42 作者: Suppository 時(shí)間: 2025-3-25 07:59
On Unsupervised Methods for Fake News Detection limited work in unsupervised fake news detection in detail with a methodological focus, outlining their relative strengths and weaknesses. Lastly, we discuss various possible directions in unsupervised fake news detection and consider the challenges and opportunities in the space.作者: 樹(shù)木中 時(shí)間: 2025-3-25 14:45 作者: 彎曲的人 時(shí)間: 2025-3-25 17:11 作者: compassion 時(shí)間: 2025-3-25 21:37
A Three-Dimensional Hybrid Grid: DRAGON Gridches and show how graph mining enables the whole task. We first introduce different kinds of information related to fake news, then divide the existing graph-based approaches into two scenarios, where various graphs and graph patterns are introduced to model the information on social media and characterize features of the fake news, respectively.作者: NATAL 時(shí)間: 2025-3-26 03:07 作者: 構(gòu)成 時(shí)間: 2025-3-26 05:23 作者: 使尷尬 時(shí)間: 2025-3-26 08:50 作者: Lyme-disease 時(shí)間: 2025-3-26 14:48 作者: PANEL 時(shí)間: 2025-3-26 17:48
Graph Mining Meets Fake News Detectionches and show how graph mining enables the whole task. We first introduce different kinds of information related to fake news, then divide the existing graph-based approaches into two scenarios, where various graphs and graph patterns are introduced to model the information on social media and characterize features of the fake news, respectively.作者: 投射 時(shí)間: 2025-3-26 21:55
Fake News and Social Processes: A Short Reviewcurate, unreliable, unsubstantiated, and unverified or completely false or fabricated information. We examine the literature related to the sociological analysis of the fake news phenomenon and its impact on social processes such as elections and vaccination. We also outline directions for further research.作者: 商議 時(shí)間: 2025-3-27 02:43 作者: 護(hù)航艦 時(shí)間: 2025-3-27 07:41
1871-7500 g, information retrieval, and computer vision.Includes perspThis book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from v作者: 冷淡一切 時(shí)間: 2025-3-27 12:19 作者: 使長(zhǎng)胖 時(shí)間: 2025-3-27 14:42 作者: 瑣事 時(shí)間: 2025-3-27 19:02 作者: Absenteeism 時(shí)間: 2025-3-27 23:11
Antony Jameson,John C. Vassbergh community. This chapter attempts to present a study on various pre-trained neural models for natural language processing in general and their potential use in news generation. While showing these models’ limitations, the chapter describes the future works in the NLP domain on language generation.作者: 殘酷的地方 時(shí)間: 2025-3-28 05:42 作者: 殺人 時(shí)間: 2025-3-28 08:41
Daniele Marobin,Gabriella Puppoion. It argues that STS can work as a close ally of data science to bring in questions of power and politics associated with fake news, and its methods can be used in data science to make it more socially relevant.作者: MAL 時(shí)間: 2025-3-28 13:14 作者: 心胸狹窄 時(shí)間: 2025-3-28 17:18
Dynamics of Fake News Diffusionffusion and addressing the challenges involved. We then model information cascade in various ways such as a diffusion tree. We then present a series of traditional and recent approaches which attempt to model the spread of fake news on social media.作者: 燒烤 時(shí)間: 2025-3-28 20:16 作者: 短程旅游 時(shí)間: 2025-3-29 02:11 作者: Intractable 時(shí)間: 2025-3-29 06:07 作者: Mammal 時(shí)間: 2025-3-29 08:58 作者: 艦旗 時(shí)間: 2025-3-29 14:17 作者: 獸群 時(shí)間: 2025-3-29 15:34
Multi-modal Fake News Detectionuman cognition tends to consume news more when it is visually depicted through multimedia content than just plain text. Fake news spreaders leverage this cognitive state to prepare false information in such a way that it looks attractive in the first place. Therefore, multi-modal representation of f作者: needle 時(shí)間: 2025-3-29 21:18
Deep Learning for Fake News Detectionitigate its use are essential because of their potential to influence the information ecosystem. A vast amount of work using deep learning techniques paved a way to understand the anatomy of fake news and its spread through social media. This chapter attempts to take stock of such efforts and look b作者: DAUNT 時(shí)間: 2025-3-30 02:07
Dynamics of Fake News Diffusionall spread of news contents through network links such as followers, friends, etc. Those fake stories which gain quick visibility are deployed on social media in a strategic way in order to create maximum impact. In this context, the selection of initiators, the time of deployment, the estimation of作者: 表皮 時(shí)間: 2025-3-30 06:39
Neural Language Models for (Fake?) News Generation generation and many downstream applications of NLP. Deep learning models with multitudes of parameters have achieved remarkable progress in machine-generated news items indistinguishable from human experts’ articles. Though the developed techniques are for authentic text generation and entertainmen作者: 撕裂皮肉 時(shí)間: 2025-3-30 09:02
Fact Checking on Knowledge Graphss, a potential solution could involve a series of steps, including extracting statements from the news via text parsing, checking the validity of the extracted statements (i.e., fact checking), and classifying the news as fake if some statements have been confirmed to be false and performing further
