標(biāo)題: Titlebook: Disinformation, Misinformation, and Fake News in Social Media; Emerging Research Ch Kai Shu,Suhang Wang,Huan Liu Book 2020 Springer Nature [打印本頁] 作者: Lipase 時間: 2025-3-21 18:02
書目名稱Disinformation, Misinformation, and Fake News in Social Media影響因子(影響力)
書目名稱Disinformation, Misinformation, and Fake News in Social Media影響因子(影響力)學(xué)科排名
書目名稱Disinformation, Misinformation, and Fake News in Social Media網(wǎng)絡(luò)公開度
書目名稱Disinformation, Misinformation, and Fake News in Social Media網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Disinformation, Misinformation, and Fake News in Social Media被引頻次
書目名稱Disinformation, Misinformation, and Fake News in Social Media被引頻次學(xué)科排名
書目名稱Disinformation, Misinformation, and Fake News in Social Media年度引用
書目名稱Disinformation, Misinformation, and Fake News in Social Media年度引用學(xué)科排名
書目名稱Disinformation, Misinformation, and Fake News in Social Media讀者反饋
書目名稱Disinformation, Misinformation, and Fake News in Social Media讀者反饋學(xué)科排名
作者: paroxysm 時間: 2025-3-21 22:14 作者: Diatribe 時間: 2025-3-22 00:47
https://doi.org/10.1007/978-3-030-42699-6Fake news; Social media mining; Social cyber security; misinformation and disinformation; community dete作者: Atmosphere 時間: 2025-3-22 08:14
978-3-030-42701-6Springer Nature Switzerland AG 2020作者: 行乞 時間: 2025-3-22 10:24
Bots, Elections, and Social Media: A Brief Overview of bots around major political events, including elections in various countries. In this chapter, we summarize our findings of bot operations in the context of the 2016 and 2018 US Presidential and Midterm elections and the 2017 French Presidential election.作者: 搬運(yùn)工 時間: 2025-3-22 15:14
Kai Shu,Suhang Wang,Huan LiuCovers an interdisciplinary emerging research topic on disinformation and misinformation attracting increasing attention.Contains recent advanced social computing, data mining, and machine learning me作者: 搬運(yùn)工 時間: 2025-3-22 20:48 作者: 手段 時間: 2025-3-22 22:50
https://doi.org/10.1007/978-0-230-00094-0e spread of disinformation and fake news can cause detrimental societal effects. Despite the recent progress in detecting disinformation and fake news, it is still non-trivial due to its complexity, diversity, multi-modality, and costs of fact-checking or annotation. The goal of this chapter is to p作者: idiopathic 時間: 2025-3-23 03:03
https://doi.org/10.1007/978-0-230-00094-0itter users based on their role identities. We first collect a coarse-grained public figure dataset automatically, then manually label a more fine-grained identity dataset. We propose a hierarchical self-attention neural network for Twitter user role identity classification. Our experiments demonstr作者: bioavailability 時間: 2025-3-23 08:36
Systems Collaboration and Integrationine social networks are used as a means to spread digital deception within local, national, and global communities which has led to a renewed focus on the means of detection and defense. The audience (i.e., social media users) form the first line of defense in this process and it is of utmost import作者: 無脊椎 時間: 2025-3-23 10:46 作者: 合乎習(xí)俗 時間: 2025-3-23 14:30
https://doi.org/10.1007/978-3-030-13431-0 of bots around major political events, including elections in various countries. In this chapter, we summarize our findings of bot operations in the context of the 2016 and 2018 US Presidential and Midterm elections and the 2017 French Presidential election.作者: 善辯 時間: 2025-3-23 18:22 作者: narcotic 時間: 2025-3-24 00:40 作者: intercede 時間: 2025-3-24 03:19 作者: 招募 時間: 2025-3-24 09:21 作者: concise 時間: 2025-3-24 11:26 作者: BRAWL 時間: 2025-3-24 17:57 作者: hallow 時間: 2025-3-24 19:00
Margherita Peruzzini,Stefan Wiesnercations than cryptocurrency. One of these areas is using blockchain for addressing the problem of misinformation. These emerging solutions that are being used to fight and prevent misinformation range from validating news articles, images, videos, and even entire social media platforms. Each blockch作者: 路標(biāo) 時間: 2025-3-25 01:39 作者: prostate-gland 時間: 2025-3-25 04:16 作者: Ingenuity 時間: 2025-3-25 11:23
User Engagement with Digital Deceptionine social networks are used as a means to spread digital deception within local, national, and global communities which has led to a renewed focus on the means of detection and defense. The audience (i.e., social media users) form the first line of defense in this process and it is of utmost import作者: Scintigraphy 時間: 2025-3-25 14:27
Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaignsdia site. In less directly political or emergency-related conversations there remain questions about how organized misinformation campaigns occur and are responded to. To inform work in this area, we present a case study that compares how different versions of a misinformation campaign originated an作者: Perennial長期的 時間: 2025-3-25 16:20 作者: V洗浴 時間: 2025-3-25 21:10 作者: 胰島素 時間: 2025-3-26 03:42
Credibility-Based Fake News Detectiontection has mostly focused on analyzing fake news content and how it propagates on a network of users. In this paper, we emphasize the detection of fake news by assessing its credibility. By analyzing public fake news data, we show that information on news sources (and authors) can be a strong indic作者: 陰郁 時間: 2025-3-26 07:30
Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake Newsking systems such as human-based fact-checking sites (e.g., snopes.com and politifact.com) and automatic detection systems have been developed in recent years. However, online users still keep sharing fake news even when it has been debunked. It means that early fake news detection may be insufficie作者: Ischemic-Stroke 時間: 2025-3-26 11:28 作者: BROOK 時間: 2025-3-26 13:00 作者: 悲痛 時間: 2025-3-26 18:05
An Evolving (Dis)Information Environment – How an Engaging Audience Can Spread Narratives and Shape ation is no longer solely driven by information actors publishing content on social media, but also by the audience that interacts with it. Engagement features, such as comments and replies, allow an audience to interact with the publisher and other users. This research focuses on the impact that co作者: 高深莫測 時間: 2025-3-26 22:04 作者: 油氈 時間: 2025-3-27 02:29
Characterization and Comparison of Russian and Chinese Disinformation Campaigns作者: 軟膏 時間: 2025-3-27 07:07
Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision作者: overture 時間: 2025-3-27 11:13
Disinformation, Misinformation, and Fake News in Social MediaEmerging Research Ch作者: aristocracy 時間: 2025-3-27 15:29
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements,ok that represent the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. We hope this book to be a convenient en作者: Immunotherapy 時間: 2025-3-27 18:26
User Engagement with Digital Deception does the audience engage with mis- and dis-information?, and (3) What feedback do users provide? These patterns and insights can be leveraged to develop better strategies to improve media literacy and informed engagement with crowd-sourced information like social news.作者: Glower 時間: 2025-3-28 01:17
Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake Newss. and the second one is a text generation framework. to generate responses with fact-checking intention. Both frameworks are designed to increase the guardians’ engagement in fact-checking activities. Experimental results showed that our recommender system improves competitive baselines significant作者: 外星人 時間: 2025-3-28 04:37
An Evolving (Dis)Information Environment – How an Engaging Audience Can Spread Narratives and Shape ior through perception. YouTube is the most popular social media site for video sharing. With that, YouTube channels influence human network behavior by shaping perceptions; simultaneously, commenters on these channels boost search engine results which promulgates higher returns on search engines. P作者: phlegm 時間: 2025-3-28 07:36 作者: 梯田 時間: 2025-3-28 11:11
https://doi.org/10.1007/978-0-230-00094-0ok that represent the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. We hope this book to be a convenient en作者: PLAYS 時間: 2025-3-28 15:01
Systems Collaboration and Integration does the audience engage with mis- and dis-information?, and (3) What feedback do users provide? These patterns and insights can be leveraged to develop better strategies to improve media literacy and informed engagement with crowd-sourced information like social news.作者: anatomical 時間: 2025-3-28 22:07 作者: 低位的人或事 時間: 2025-3-28 23:36 作者: olfction 時間: 2025-3-29 03:47
Barrett S. Caldwell,P. U. Grouperopic group analysis and Twitter-Youtube networks, we also show that all of the campaigns originated in similar communities. This informs future work focused on the cross-platform and cross-network nature of these conversations with an eye toward how that may improve our ability to classify the intent and effect of various campaigns.作者: Affection 時間: 2025-3-29 09:28 作者: 心胸開闊 時間: 2025-3-29 15:04 作者: 新奇 時間: 2025-3-29 19:17
https://doi.org/10.1007/978-3-030-33312-6 training the model, we construct a million scale dataset of news articles, which we also release for broader research use. Based on the results of a focus group interview, we discuss the importance of developing an interpretable AI agent for the design of a better interface for mitigating the effects of online misinformation.作者: Dysarthria 時間: 2025-3-29 22:36
Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaignsopic group analysis and Twitter-Youtube networks, we also show that all of the campaigns originated in similar communities. This informs future work focused on the cross-platform and cross-network nature of these conversations with an eye toward how that may improve our ability to classify the intent and effect of various campaigns.作者: terazosin 時間: 2025-3-30 02:16 作者: Ganglion-Cyst 時間: 2025-3-30 07:31
Developing a Model to Measure Fake News Detection Literacy of Social Media Usersis empirically tested by applying correlation analyses based on a sample of .?=?96. The updated construct provides a way to measure fake news detection literacy and offers various avenues for further research that are discussed at the end of the chapter.作者: BUCK 時間: 2025-3-30 08:28
BaitWatcher: A Lightweight Web Interface for the Detection of Incongruent News Headlines training the model, we construct a million scale dataset of news articles, which we also release for broader research use. Based on the results of a focus group interview, we discuss the importance of developing an interpretable AI agent for the design of a better interface for mitigating the effects of online misinformation.作者: 挫敗 時間: 2025-3-30 13:34
