名人八卦我牽掛
明星名人結婚、離婚、出軌、小三、仙人跳、學歷和家世等各種八卦都在這裡找得到一點蛛絲馬跡...

Search

fake news detection的八卦，YOUTUBE和Yahoo名人娛樂都在討論

相關標籤 相關照片 相關影片
在fake news detection這個產品中，有5篇Facebook貼文，粉絲數超過168萬的網紅Lee Hsien Loong，也在其Facebook貼文中提到， Glad to see events like BrainHack — a virtual learning fest organised by the DSTA Defence Science and Technology Agency — carrying on despite COVID-19...
　同時也有10000部Youtube影片，追蹤數超過62萬的網紅Bryan Wee，也在其Youtube影片中提到，...

fake news detection 在 Lee Hsien Loong Facebook 八卦

Lee Hsien Loong By Lee Hsien Loong

2020-07-03 10:18:24 有 7,389 人按讚
  • Share this:

Glad to see events like BrainHack — a virtual learning fest organised by the DSTA Defence Science and Technology Agency — carrying on despite COVID-19. Over 3,000 students from around the world signed up — double the number last year.

BrainHack encourages young participants to explore the latest digital technologies. It provides hands-on training in app development, cybersecurity, artificial intelligence, space, 3D printing, and fake news detection. Many of the hackathon projects serve practical, real-world purposes and have the potential to be adopted more widely. I’m glad to see the strong interest and positive learning attitude among young people, in these challenging times!

BrainHack will end on this Sunday, 5 July, which coincidentally is also Youth Day. I hope such events will help youths to pick up technical skills, and more important still a passion to change the world for the better.

Wishing all BrainHack participants a fun learning experience, as well as a happy Youth Day long weekend! – LHL

Tags:
Lee Hsien Loong

About author
On this page I talk about the things I’m doing and thinking about, but I would also like to hear from you, about what we can do together for Singapore.
1680418 followers 1531380 likes "http://www.pmo.gov.sg/"
View all posts

fake news detection 在 BorntoDev Facebook 八卦

BorntoDev By BorntoDev

2021-06-22 13:25:55 有 272 人按讚
  • Share this:

🔥 อยากทำโปรเจกต์ Data Science เจ๋ง ๆ แต่ยังไม่มีไอเดียย ..
.
👉 ต้องนี่เลย !! แอดรวบรวมไว้ให้หมดแล้วจ้า กับ 10 โปรเจกต์สุดปัง แถมยังมี Source Code ให้ศึกษาด้วยย เจ๋งสุด ๆ ถ้าพร้อมแล้ววว เลือกหัวข้อที่สนใจแล้วไปทำกันโลด!
.
🌟 1) ตรวจจับ Fake News
ใช้ Python และ Library Pandas, Numpy, และ Sklearn เพื่อสร้างแบบจำลองที่สามารถแยกข่าวปลอมและข่าวจริงได้ง่ายดาย
.
👨‍💻 Source Code >> https://data-flair.training/blogs/advanced-python-project-detecting-fake-news/
.
🌟 2) Chatbot
สร้างการแชทโต้ตอบอัตโนมัติกับลูกค้าด้วย Python เรียนรู้ความต้องการของลูกค้า และช่วยตอบปัญหาต่าง ๆ ซึ่งมันเป็นตัวช่วยที่ดีในการทำธุรกิจเลยนะ
.
👨‍💻 Source Code >> https://dzone.com/articles/python-chatbot-project-build-your-first-python-pro
.
🌟 3) ตรวจจับการโกงบัตรเครดิต
สมัยนี้อัตราการโกงบัตรเครดิตเพิ่มสูงขึ้นมาก หากเรามีตัวช่วยในการตรวจสอบว่าธุรกรรมที่ทำผ่านบัตรเครดิตนั้นเป็นของจริงหรือไม่ มันจะดีมาก ๆ เลยใช่ไหม ซึ่งโปรเจกต์นี้จะใช้อัลกอริทึมแยกความแตกต่างของธุรกรรมทางบัตรเครดิต อันไหนจริงหรือปลอมรู้หมด! พัฒนาง่าย ๆ ด้วยภาษา Python และ R
.
👨‍💻 Source Code >> https://data-flair.training/blogs/data-science-machine-learning-project-credit-card-fraud-detection/
.
🌟 4) ตรวจอาการง่วงนอนของคนขับ
โปรเจกต์นี้จะตรวจจับคนขับรถที่มีอาการมึนงง และจะตั้งค่าแจ้งเตือนด้วยเสียง โดยจะใช้โมเดล Deep Learning ประเมินว่าคนขับตาปิดอยู่หรือไม่ อุปกรณ์ที่ต้องใช้ในโปรเจกต์นี้ก็มีแค่เพียงกล้องเว็บแคม พร้อมแล้วไปทำกันโลดด !
.
👨‍💻 Source Code >> https://data-flair.training/blogs/python-project-driver-drowsiness-detection-system/
.
🌟 5) จับอารมณ์จากคำพูด
โปรเจกต์นี้จะพยายามรับรู้อารมณ์ของคนพูดด้วยการใช้ไฟล์เสียงต่าง ๆ เป็นชุดข้อมูลเพื่อฝึกโมเดลให้จำแนกอารมณ์ของผู้พูด พัฒนาด้วยภาษา Python ใครสายนี้ห้ามพลาดเลยจ้า
👨‍💻 Source Code >> https://data-flair.training/blogs/python-mini-project-speech-emotion-recognition/
.
🌟 6) จำแนกมะเร็งเต้านม
เป็นการผสานของศาสตร์หลาย ๆ อย่าง ไม่ว่าจะเป็น Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network, Deep Believe Network เป็นต้น ที่ช่วยฝึกโมเดลในการจำแนกเนื้อดี กับเนื้อที่เป็นมะเร็งเต้านม พัฒนาด้วยภาษา Python
.
👨‍💻 Source Code >> https://data-flair.training/blogs/project-in-python-breast-cancer-classification/
.
🌟 7) ระบบแนะนำภาพยนตร์
อยากมีระบบแนะนำภาพยนต์เจ๋ง ๆ แบบ Netflix ต้องห้ามพลาดโปรเจกต์นี้ พัฒนาง่าย ๆ ด้วยภาษา R นั่นเอง !
.
👨‍💻 Source Code >> https://data-flair.training/blogs/data-science-r-movie-recommendation/
.
🌟8) วิเคราะห์ความเชื่อมั่นของลูกค้า
โปรเจกต์นี้ใช้แบบจำลองการวิเคราะห์ความรู้สึกเพื่อของลูกค้า เพื่อกำหนดทัศนคติของลูกค้าที่มีต่อผลิตภัณฑ์ของบริษัท พัฒนาด้วยภาษา R
.
👨‍💻 Source Code >> https://data-flair.training/blogs/data-science-r-sentiment-analysis-project/
.
🌟 9) แบ่งกลุ่มลูกค้า
โปรเจกต์นี้จะใช้การเรียนรู้แบบไม่มีผู้สอน ใช้กระบวนการ Clustering เพื่อจัดกลุ่มลูกค้าที่มีพฤติกรรมคล้าย ๆ กัน ทำให้บริษัทสามารถรู้จักกลุ่มของลูกค้าได้มากขึ้นนั่นเอง

👨‍💻 Source Code >> https://data-flair.training/blogs/r-data-science-project-customer-segmentation/
.
🌟 10) ตรวจเพศและอายุด้วย OpenCV
โปรเจกต์ที่จะช่วยให้คุณสามารถตรวจสอบเพศ และอายุโดยการจดจำภาพใบหน้าของคน ๆ นั้น และสามารถบอกได้ว่าเขาเพศอะไร และอายุเท่าไหร่ พัฒนาด้วยภาษา Python ใครสายนี้ห้ามพลาดเลยจ้า!
.
👨‍💻 Source Code >> https://data-flair.training/blogs/python-project-gender-age-detection/
.
ลองไปทำกันดูน้าา ได้ผลยังไงมาแชร์ให้ฟังกันบ้าง ❤️
.
borntoDev - 🦖 สร้างการเรียนรู้ที่ดีสำหรับสายไอทีในทุกวัน

Tags:
BorntoDev

About author
BorntoDev (www.BorntoDev.com) เว็บไซต์ที่เกี่ยวกับการสอนการพัฒนาโปรแกรมหรือผลงานทางด้านคอมพิวเตอร์ จัดทำขึ้นเมื่อ 27 ตุลาคม 2556 โดยมีจุดมุ่งหมายเพื่อต้องการให้ผู้ที่สนใจพัฒนาซอฟต์แวร์ แอปพลิเคชั่น หรือ ผลงานทางด้านคอมพิวเตอร์ได้มีแหล่งในการเรียนรู้ที่ง่าย และ สนุก ไม่เน้นทฤษฏีจนทำให้ท้อหรือถอดใจไปก่อนจัดทำขึ้นโดยกลุ่มคนที่ต้องการจะเห็นความเปลี่ยนแปลงทางด้านเทคโนโลยี และ มีความหวังว่าจะมีนักพัฒนารุ่นใหม่ของไทยที่มีผลงานที่ยิ่งใหญ่ขึ้นมาได้ โดยจะใช้หลักการ “เน้นสนุก สอนเข้าใจ ทำได้จริง” สามารถเข้ามาเรียนรู้การพัฒนาซอฟต์แวร์ได้ตั้งแต่ระดับมัธยมศึกษาจนถึงนักศึกษาในมหาวิทยาลัย และ บุคคลทั่วไปที่สนใจในการพัฒนาซอฟต์แวร์และเทคโนโลยีคอมพิวเตอร์ ซึ่งในปัจจุบันนี้ถือว่ามีความสำคัญกับทุกสาขาอาชีพ และ เข้ามาเกี่ยวข้องกับทุกๆอย่างในชีวิตของเรา
ความสำเร็จของเรา คือ "การที่ได้เห็นคนไทยหันมาพัฒนาซอฟต์แวร์เพื่อโลก ที่ดีขึ้น"
96872 followers 92473 likes "http://www.borntodev.com/"
View all posts

fake news detection 在 Eric's English Lounge Facebook 八卦

Eric's English Lounge By Eric's English Lounge

2021-07-20 15:32:55 有 220 人按讚
  • Share this:

淺談「假新聞」

最近上課時學到一個新單字「positionality」，讓我想到當前社群媒體上，不停看到的「fake news」——假新聞。

簡言之，「positionality」(位置性) 被定義為於種族、階級、性別、性取向以及能力等狀態中，創造你身分的社會與政治背景。位置性還描述了你的身分如何影響你對世界的理解與看法，以及潛在的偏見。

positionality 位置性；定位
https://terms.naer.edu.tw/detail/3390885/
https://www.lexico.com/definition/positionality

以下是我對「positionality」與 「fake news」的些許觀點：

“Fake news” has permeated all facets of life, ranging from social media interaction to presidential elections. Fake news can be defined as “fabricated information that mimics news media content in form but not in organizational process or intent” (Lazer et al., 2018, p. 1094). The creators and outlets of fake news do not ensure the accuracy and credibility of information, but rather disseminate misinformation or disinformation for purposes ranging from personal amusement to creating deceptions to achieve political aims. At times, fake news is created and disseminated by state or non-state actors using social media accounts and networks of bots designed to hijack feed algorithms of platforms such as Twitter or Facebook (Prier, 2017, p. 54). In the 2016 U.S. presidential campaign, Facebook estimated that up to 60 million bots were used to post political content. Some of the same bots were then used in an attempt to influence the 2017 French election (Lazer et al., 2018, p. 1095). Such campaigns can be understood as a form of information warfare, a comprehensive attempt to control and influence every facet of the information supply chain, thereby influencing public opinion and behaviors. (Prier, 2017, p. 54). Often, fake news is not directly created by actors that seek to manipulate but by journalists or content creators whose content favors or aligns with the narratives of these actors (Doshi, 2020).

從社群媒體的互動到總統選舉，「假新聞」（fake news）已滲透至生活的各個層面。假新聞可被定義為「在形式上而非組織過程或意圖上，模仿新聞媒體內容所捏造的資訊」（Lazer et al., 2018, p. 1094）。無論是出於個人愛好或為達政治目的而有所欺瞞，假新聞的製造者與傳播管道並不保證資訊的準確性與可信度，反而是為了散播錯誤訊息（misinformation）或扭曲訊息（disinformation）。有時，假新聞是由國家或非國家行為者（state or non-state actors）所製造與傳播，藉由社群媒體帳號及網絡機器人來劫持諸如臉書與推特等平臺的推送演算法（Prier, 2017, p. 54）。在2016年的美國總統大選中，臉書估計有多達６千萬個機器人被用來發布政治貼文。其中，有部分機器人被用於影響隔年的法國大選（Lazer et al., 2018, p. 1095）。此類行動可視為資訊戰（information warfare）的一種形式，一種對控制與影響資訊供應鏈各環節的全面嘗試，從而影響公眾輿論與行為（Prier, 2017, p. 54）。假新聞通常是由記者或內容創造者（content creators）所創造，而非試圖操弄的行為者，前者的內容偏好符合後者的敘事（Doshi, 2020）。

Nevertheless, while the term “fake news” is commonplace, there is no universal, measurable way to quantify the fakeness or truthfulness of news. There are many fact-checking and media-bias detection tools, but they cannot objectively detect and clarify the more subtle and nuanced aims of manipulative actors that play a crucial role in news production. It can also be argued that the veracity of news depends not only on the actors that seek to manipulate it, but also on the positionality of its consumers. Therefore, one’s initial line of defense against misleading news lies not in the plethora of fact-checking devices but more in one’s pre-existing dispositions and skills to think and act in response to misleading information. This ability can be referred to as critical thinking, which can be more concretely expounded as “reasonable and reflective thinking focused on deciding what to believe or do” (Ennis, 2011, p. 15).

然而，即便「假新聞」一詞隨處可見，卻沒有統一、可衡量的方式來量化新聞的虛假性或真實性。目前有許多事實查核與媒體偏見檢測工具，但它們無法客觀地檢測與說明行為操弄者更狡猾、更細緻的目標，而這些操弄者往往在新聞的生產中發揮著重要作用。我們也可以說，新聞的真實性不僅取決於試圖操弄它的行為者，同時還取決於新聞受眾的位置性。因此，一個人對抗誤導性新聞的第一道防線，不在於這些五花八門的事實查核方式，反而在於個人所固有的性格，以及針對誤導性資訊的思考與行動等相關技能。這種能力可稱為批判性思考（critical thinking），意即「專注於決定相信什麼或做什麼的理性思考與反思性思考」（Ennis, 2011, p. 15）。

Taiwan, also known as the Republic of China (ROC), is at the forefront of information warfare. It is wedged between the geopolitical struggles of global and regional hegemonies such as the United States and China, the People's Republic of China (PRC). Compounding the matter are the Taiwan’s own political actors vying for influence and power. This struggle seeps into all aspects of life and practice, mainly manifesting itself on social media, a battleground of information warfare. The Ministry of Education of Taiwan is cognizant of these information campaigns, and efforts have been made to introduce media literacy into all parts of its education system. According to the ministry, the government has tried to promote media literacy education since 2000 (MOE, 2002, p. 1), with one of its primary goals to cultivate its “citizens” abilities for independent learning, critical thinking, and problem solving” (MOE, 2002, p. 2).

臺灣，也被稱為中華民國，正處於資訊戰的最前線。這是全球霸權與地區霸權之間——如美國與中國（中華人民共和國）——的地緣政治對抗。使問題惡化的是臺灣自身的政治行動者對影響力與權力的奪取。這場對抗遍布於現實生活的各個面向，主要於社群媒體中——資訊戰的戰場——展露無遺。臺灣的教育部注意到了這些資訊的煙硝，並已努力將媒體素養引入其教育體系。據該部稱，自2000年以來，政府一直試圖推展媒體素養教育（MOE, 2002, p. 1），其主要目標之一是培養「公民獨立學習、批判性思考以及解決問題的能力。」（MOE, 2002, p. 2）。

★★★★★★★★★★★★

上述段落認為，由於個人的位置性(positionality)，「假新聞」極難定義。此外，有許多人把不符合自身成見與偏好的新聞逕斥為假新聞。這其實相當危險，因為個人觀點將會變得愈發孤立與激進。

閱聽人應意識到，他們在網路上看到的每個資訊都有特定立場。是否真有毫無立場的新聞文章？為了對抗操弄性或強制性資訊（coercive information），我們必須意識到權力於個中的作用，以及我們自身的位置性如何形塑我們的詮釋。這是我們的第一道防線。

★★★★★★★★★★★★

參考文獻

Doshi, R. (2020, January). China steps up its information war in Taiwan. Foreign Affairs. Retrieved March, 21, 2021, from https://www.foreignaffairs.com/articles/china/2020-01-09/china-steps-its-information-war-taiwan

Ennis, R. H. (1985). A logical basis for measuring critical thinking skills. Educational leadership, 43(2), 44-48.

Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ... & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094-1096.

MOE (Ministry of Education), Taiwan. (2002). White paper on media literacy educational policy. Retrieved March, 21, 2021, from http://english.moe.gov.tw/public/Attachment/ 2122416591771.pdf

Prier, J. (2017). Commanding the trend: Social media as information warfare. Strategic Studies Quarterly: SSQ, 11(4), 50-85.

★★★★★★★★★★★★

教育時評: http://bit.ly/39ABON9

相關詞彙: https://bit.ly/2UncrfI

TED相關影片: https://bit.ly/3BDsDKl

Tags:
Eric's English Lounge

About author
教科書主編、講師與教育顧問。 藉由此平台提供大家豐富的英語學習資源。 宗旨與目標：https://bit.ly/2BaENzJ
Empathy. Education. Leadership. Three words that define Eric's English Lounge (EEL) and everything that we do.
65524 followers 61046 likes "https://esenglishlounge.com/"
View all posts

fake news detection 在 Bryan Wee Youtube 的評價

Bryan Wee By Bryan Wee

2017-11-23 14:29:05 有 208,914,766 人看過 有 345,617 人喜歡
  • Share this:

post-title
Bryan Wee

About author
?Banana女神? ?关注➕保证让你爱上我? ----------------------------------- Facebook➕BryanWee Instagram➕bryan.weee
622000 subscribers 184245594 viewes
View all posts

fake news detection 在 Travel Thirsty Youtube 的評價

Travel Thirsty By Travel Thirsty

2018-04-20 21:03:42 有 105,187,459 人看過 有 487,823 人喜歡
  • Share this:

post-title
Travel Thirsty

About author
Follow us as we explore our way through the world, feasting on interesting sights and amazing food! New videos every week. Don't forget to subscribe!
6670000 subscribers 2110823499 viewes
View all posts

fake news detection 在 スキマスイッチ - 「全力少年」Music Video : SUKIMASWITCH / ZENRYOKU SHOUNEN Music Video Youtube 的評價

スキマスイッチ - 「全力少年」Music Video : SUKIMASWITCH / ZENRYOKU SHOUNEN Music Video By スキマスイッチ - 「全力少年」Music Video : SUKIMASWITCH / ZENRYOKU SHOUNEN Music Video

2008-12-08 16:27:04 有 71,179,683 人看過 有 185,567 人喜歡
  • Share this:
社群媒體上有些相關的討論：
你可能也想看看
Fake news detection
Fake news detection with machine learning
Kaggle fake news
Fake news NLP
Detect fake news
Fake news dataset
Fake news detection using machine learning ensemble methods
Fake news detection: a hybrid CNN-RNN based deep learning approach
搜尋相關連結

#1. Detecting Fake News in Social Media Networks - Science Direct

The purpose of the work is to come up with a solution that can be utilized by users to detect and filter out sites containing false and misleading information.

#2. Fake News Detection

The aim of the fake news project is to help news readers to identify bias and misinformation in news articles in a quick and reliable fashion. We have collected ...

#3. Detecting fake news online - Wikipedia

The detection of fake news can also be achieved through predictive modelling based methods. One type would be the logistic regression model. In this model, ...

#4. Detection of Fake News on COVID-19 on Web Search Engines

In the binary fake news detection problem, fake news is usually associated with the positive class, since it is the news detected by the ...

#5. Fake News Detection | Papers With Code

Fake news detection is the task of detecting forms of news consisting of deliberate disinformation or hoaxes spread via traditional news media (print and ...

#6. Fake news detection in social media - California State ...

Keywords: fake news, false information, deception detection, social media, information manipulation, Network Analysis, Linguistic Cue, Fact-checking,.

#7. Fake News Detection Using Machine Learning Approaches

A lot of research is already focused on detecting it. This paper makes an analysis of the research related to fake news detection and explores the traditional ...

#8. Fake News Detection Using Machine Learning Ensemble ...

Fake news detection has many open issues that require attention of researchers. For instance, in order to reduce the spread of fake news, identifying key ...

#9. Can artificial intelligence help end fake news? - European ...

The team is building software tools to help journalists and fact-checkers detect and fight fake news, says Nucci. They hope to serve journalists in three ...

#10. Robust Fake News Detection Over Time and Attack

Detection of online fake news using N-gram analysis and machine learning techniques. In Proceedings of the International Conference on Intelligent, Secure, ...

#11. FAKEDETECTOR: Effective Fake News Detection with Deep ...

由 J Zhang 著作 · 2018 · 被引用 96 次 — FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network. Jiawei Zhang1, Bowen Dong2, Philip S. Yu2. 1IFM Lab, Department of Computer ...

#12. Fake News Detection with Machine Learning, using Python

A step by step Fake News detection using BERT, TensorFlow and PyCaret. ... One of the most challenging area of Machine Learning is the one that regards the ...

#13. Ten Questions for Fake News Detection

FAKE. TEN QUESTIONS FOR NEWS DETECTION. Use the questions below to assess the likelihood that a piece of information is fake news. The more red flags.

#14. IFND: a benchmark dataset for fake news detection

由 DK Sharma 著作 · 2021 — There is no large-scale dataset that consists of Indian news only. So, this paper presents IFND (Indian fake news dataset) dataset. The dataset ...

#15. Unsupervised Fake News Detection on Social Media - AAAI ...

Therefore, detecting fake news has become a crucial problem attracting tremendous research effort. Most existing methods of fake news detection are supervised, ...

#16. Using data science to detect fake news - JMU Scholarly ...

The effectiveness of different extracted features for Fake News detection are going to be examined. When classifying text with machine learning algorithms ...

#17. Fake News Detection with Machine Learning - Coursera

In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.

#18. Fake News Detection using Deep Markov Random Fields

Deep-learning-based models have been successfully applied to the problem of detecting fake news on social media. While the correlations among news articles ...

#19. (PDF) Fake News Detection on Social Media: A Data Mining ...

First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult and nontrivial to detect based on news ...

#20. Detecting Fake News with Natural Language Processing

Fake news detection techniques can be divided into those based on style and those based on content, or fact-checking. Too often it is assumed ...

#21. Fake News | Kaggle

train.csv: A full training dataset with the following attributes: id: unique id for a news article; title: the title of a news article; author: author of ...

#22. Fake News Detection Using Content-Based Features and ...

This study explores fake news detection techniques using machine learning technology. Using a feature set which captures article structure, readability, ...

#23. The Fake News Detector | University at Albany

The Fake News Detector ... A story on Reddit asks, “Did Palestinians Recognize Texas as Part of Mexico?” The origin of the story might be dubious, but it doesn't ...

#24. Fake News Detection using LSTM in Tensorflow and Python

#25. Real News/Fake News: Detecting Fake News - Library Guides

Evaluating Sources/Distinguishing Popular from Scholarly Sources · Authority - Who is the author? · Purpose - Why was the source created?

#26. Full article: Fake news detection and social media trust

While this topic has gained researchers' attention, little is known about the factors which allow individuals to detect fake news and lead ...

#27. Automatic Online Fake News Detection Combining ... - Fruct

Abstract—The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social ...

#28. Fake News Detection on Social Media: A Data Mining ...

r=0. Page 2. Detecting fake news on social media poses several new and challenging research problems. Though fake news itself is not a new problem–nations or ...

#29. Approaches to Identify Fake News: A Systematic Literature ...

Some approaches detect fake news by using metadata such as a comparison of release time of the article ...

#30. Automatic Detection of Fake News - Electrical Engineering ...

Fake news detection has recently attracted a growing interest from the general public and researchers as the circulation of misinformation online increases, ...

#31. Machine learning for detection of fake news - DSpace@MIT

With this, efforts have been made to automate the process of fake news detection. The most popular of such attempts include "blacklists" of sources and ...

#32. Fake News Detection: A Deep Learning Approach - SMU ...

The exponential increase in production and distribution of inaccurate news presents an immediate need for automatically tagging and detecting such twisted news ...

#33. Detecting Fake News on Social Media

Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This lecture, from a data ...

#34. Detecting fake news on Facebook: The role of emotional ...

For the Fake News Detection Task, participants were instructed to critically analyse each news item and to respond to each of the four questions ...

#35. Detection & Classification Of AI Generated Fake News

With the introduction of AI-generated fake news, the spread of misinformation has increased manifold. Adding to the challenge, AI models can ...

#36. Semantic Fake News Detection: A Machine Learning ...

Fake news detection is a difficult problem due to the nuances of language. Understanding the reasoning behind certain fake items im- plies inferring a lot of ...

#37. Fake news detection: a survey of evaluation datasets - PeerJ

Fake news detection has gained increasing importance among the research community due to the widespread diffusion of fake news through media ...

#38. Deep Learning for Fake News Detection in a Pairwise Textual ...

In this paper, we present a novel approach to the automatic detection of fake news on Twitter that involves (a) pairwise text input, (b) a novel deep neural ...

#39. InfoSurgeon: Cross-Media Fine-grained Information ...

We propose a novel approach to perform fake news detection at the KE level, representing the claims in the news article as a multimedia knowl- edge graph and ...

#40. Detecting Fake News - Skyline College Library Research ...

"PolitiFact is a fact-checking website that rates the accuracy of claims by elected officials and others who speak up in American politics. PolitiFact is run by ...

#41. AI and ML based Rumours and Fake News Detection in Social

So, it is very reasonable to move towards collaboration of artificial intelligence and IoT to automatize detection of fake news and malicious content. Fake news ...

#42. The COVID-19 fake news detection in Thai social texts

To detect fake news in Thai texts, Thai-NLP techniques are necessary. This paper proposes a state-of-the-art Thai COVID-19 fake news detection among word ...

#43. Introduction to Automated Fake News Detection - Section.io

Introduction to Automated Fake News Detection · Naïve Bayes: uses probabilistic approaches based on Bayes theorem. · Decision Tree: a supervised ...

#44. nishitpatel01/Fake_News_Detection: Fake News Detection in ...

Fake News Detection ... In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news ...

#45. Detecting Fake News with Python and Machine Learning

This advanced python project of detecting fake news deals with fake and real news. Using sklearn, we build a TfidfVectorizer on our dataset. Then, we initialize ...

#46. Fake News Challenge

Fake News Challenge Stage 1 (FNC-I): Stance Detection ... Fake news, defined by the New York Times as “a made-up story with an intention to deceive”, often for a ...

#47. Automated Fake News Detection Using Linguistic Analy - SBP ...

Hence, in this work we propose a novel text analysis based computational approach to automatically detect fake news. The results ob- tained for a test dataset ...

#48. A HYBRID APPROACH TO FAKE NEWS DETECTION ON ...

this paper proposes a hybrid model for detecting fake news on social media using a combination of both the human- based and machine-based detection ...

#49. Fake News Detection - Google Scholar

沒有這個頁面的資訊。

#50. Automatic detection of Fake News - CEUR-WS

In this paper, we identify key methods for automatic fake news detection in order to lay the foundation for end-user support system designed to help users ...

#51. Automated Fake News Detection in the Age of Digital Libraries

Christian Janze, and Marten Risius, “Automatic Detection of Fake News on Social Media Platforms,” (paper, Pasific Asia Conference on Information ...

#52. Survey on Fake News Detection using Machine learning ...

There are several algorithms for detecting the fake news. For that we analyse through different classifiers in different research papers. The classifiers are ...

#53. A Hybrid Model for Effective Fake News Detection with a ...

For the detection of fake news, neural networks are quite popular in the area of Artificial Intelligence. (AI) for their remarkable performance. Convolutional.

#54. How Fake News Detection Can Be Improved? | The Startup

At Defudger, research is pursued with world-class institutions in fake news detection. Outcomes are built into our products for the benefit of ...

#55. How to Spot Real and Fake News - From MindTools.com

How to Spot Real and Fake News · 1. Develop a Critical Mindset. One of the main reasons fake news is such a big issue is that it is often believable, so it's ...

#56. Why AI isn't going to solve Facebook's fake news problem

Fake news continues to dog Facebook, but experts say artificial intelligence just isn't smart enough to help out. AI and machine learning ...

#57. Fake News Detection using Machine Learning - Pantech ...

This Project comes up with the applications of NLP (Natural Language Processing) techniques for detecting the 'fake news', that is, misleading news stories ...

#58. FakeNewsNet: A Data Repository with News Content, Social ...

Fake news detection in social media aims to extract useful features and build effective models from existing social media data sets for ...

#59. Fake News - Fact Checking - All guides at RMIT University

"Fake news is made-up stuff, masterfully manipulated to look like credible ... These resources can help you detect and avoid fake news: ...

#60. Automatic deception detection: Methods for finding fake news

“Fake news detection” is defined as the task of categorizing news along a continuum of veracity, with an associated measure of certainty.

#61. “Truth or Fake” 2020: 4 tips for detecting fake news online

“Truth or Fake” 2020: 4 tips for detecting fake news online · At a time when the COVID-19 virus is ravaging the world, it's more important than ...

#62. Facebook using machine learning to fight fake news - Internet ...

facebook use machine learning to detect fake news ... product manager Tessa Lyons said that Facebook's fight against fake news has been ongoing through a ...

#63. Detecting fake news, at its source | EurekAlert!

Detecting fake news, at its source. Machine learning system aims to determine if a news outlet is accurate or biased.

#64. How to Spot Fake News - FactCheck.org

How to Spot Fake News · Consider the source. · Read beyond the headline. · Check the author. · What's the support? · Check the date. · Is this some ...

#65. Detection of Fake News in Online Media - Deep Learning and ...

Detection of Fake News in Online Media. Description. The project is intended to develop an automated textual analytic system to flag and filter inaccurate ...

#66. How to combat fake news and disinformation - Brookings ...

For example, fake news detection can be automated, and social media companies should invest in their ability to do so. Former FCC Commissioner ...

#67. AUTOMATIC FAKE NEWS DETECTION - DIVA

common elements between categories which are important to fake news detection; notably the relation of headlines and article content, the importance of ...

#68. Fake News Detection

Our Battle against Fake News The aim of the fake news project is to help news readers to identify bias and misinformation in news articles ...

#69. Researchers Identify Seven Types of Fake News, Aiding ...

UNIVERSITY PARK, PA — To help people spot fake news, or create technology that can automatically detect misleading content, scholars first ...

#70. Big Data and quality data for fake news and misinformation ...

We provide a comprehensive account of fake news detection as a text classification problem, to be solved using natural language processing ...

#71. Fake News Guide: Tips and Resources

Fake news stories attempt to pass off as real false claims that are not supported by any credible evidence. Some people and companies profit ...

#72. Fake News Detector AI | Detect Unreliable News Using Neural ...

We analyze websites to see if they are similar to known fake news sites using a neural network. The same technology is used to power other artificial ...

#73. Fake News Detection Project in Python with Machine Learning

About Fake News Detection Project ... In this machine learning project, we build a classifier that detects whether the news is fake or not. This is a binary ...

#74. Can a Mathematical Model Detect Fake News? Two Penn ...

Penn State professors Dongwon Lee and S. Shyam Sundar initially wanted to know more about the fake news epidemic. Now, with $300000 in ...

#75. Automating Fake News Detection System using Multi-level ...

Many techniques have been developed recently for fake news detection. In this section, the closely related re- search work that has been done on detecting fake ...

#76. Detecting Fake News using Machine Learning Algorithms

Spreading fake news has become a serious issue in the current social media world. It is broadcasted with dishonest intentions to mislead ...

#77. Journalism, 'Fake News' and Disinformation: A Handbook for

Journalism, 'Fake News' and Disinformation: A Handbook for Journalism Education and Training. This new publication by UNESCO is a timely resource and highly ...

#78. A Quick Guide to Fake News Detection on Social Media

First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult to detect based on news ...

#79. To detect fake news, this AI first learned to write it | TechCrunch

Grover is a new system created by the University of Washington and Allen Institute for AI (AI2) computer scientists that is extremely adept at ...

#80. Fighting fake news: 5 free (but powerful) tools for journalists

Forensically is a set of free tools for digital image forensics. It includes clone detection, error level analysis, noise analysis metadata ...

#81. Fake News Detection Using Machine Learning - MatheO

2.4 Some Like it Hoax: Automated Fake News Detection in Social Networks [16] 15 ... 2.6 Convolutional Neural Networks for Fake News Detection[19] .

#82. UW researchers create AI tool to improve fake news detection

They developed screening tool sets a new benchmark for accuracy, in that they say it can flag fake news correctly nine out of ten times. The ...

#83. Software that can automatically detect fake news - Fraunhofer ...

A new tool developed by the Fraunhofer FKIE for the automated detection of so-called “fake news” can be seen as an early-warning system. It ...

#84. Research Highlights: MIDAS - Real-time Anomaly/Fake News ...

MIDAS is a new approach to anomaly detection that outperforms baseline approaches both in speed and accuracy. It can also be used to detect fake ...

#85. Fake News Detection with Semantic Features and Text Mining

Nearly 70% of people are concerned about the propagation of fake news. This paper aims to detect fake news in online articles through the ...

#86. Teaching Technology to Detect Fake News

Unearthing hidden connections in fake news ... An affiliated faculty member of the Stevens Institute for Artificial Intelligence, Ning is working ...

#87. Multilingual Fake News Detection with Satire - HAL-SHS

In this paper, we compare different automatic approaches for fake news detection based on statistical text analysis on the vaccination fake news ...

#88. FNID: Fake News Inference Dataset | IEEE DataPort

This database is provided for the Fake News Detection task. In addition to being used in other tasks of detecting fake news, ...

#89. Fake news detector plug-in developed - BBC

BS Detector is a plug-in that uses a list of fake news sources as its reference point. It can be added to Chrome and Mozilla browsers and ...

#90. Fake News: Find Websites - Research Guides

Sites that can help you confirm a news story...aside from Google. · AP Fact Check. Fact-checked current news stories from the Associate Press (AP) ...

#91. Can Machines Learn to Detect Fake News? A Survey Focused ...

method for automatic fake news detection is not just one classical machine learning technique, but instead a amalgamation of classic techniques coordinated ...

#92. How an algorithm can help us detect fake news - The ...

Our fake news detector is built based on linguistic characteristics extracted from a large body of news articles. It takes a piece of text and ...

#93. Explainable Machine Learning for Fake News Detection

Is there a clear link between features and the type of fake news they can detect? To answer these questions, we first conduct a systematic survey, identifying ...

#94. Supervised Learning for Fake News Detection

Abstract—A large body of recent works has focused on understanding and detecting fake news stories that are disseminated on social media.

#95. 8 resources to detect fake news

According to News Co/Lab research, more than one-third of people surveyed could not identify a fake headline. Unsure if a website you've ...

#96. Investigating Content-based Fake News Detection ... - GUPEA

In this project, we show that incomplete knowledge graphs created from only a small set of news articles can detect fake news with an F-score of 0.74 for ...