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I love Wikipedia! I even donated to it. But I won't donate again, now that I've learned how BIASED Wikipedia has become. ———— To make sure you see the new weekly video from Stossel TV, sign up here: 🤍 ———— No right-leaning outlets, Fox News Politics, the Daily Wire, the Daily Caller, etc… is considered “reliable” by Wikipedia. None. But even some of the most extreme leftist outlets get a "reliable" badge like “Jacobin," a self-described SOCIALIST outlet. Vox, Buzzfeed News, and Slate are also deemed “reliable” by Wikipedia. Editors may base stories on their reporting. Why did Wikipedia become so biased? Veteran Wikipedian Jonathan Weiss tells me that the site, like academia, has been captured by leftists. Some Wikipedia administrators even brag on their profiles, "this user is a socialist." Another put up images idolizing communist murderers Che Guevara and Vladimir Lenin. These administrators make final decisions about what counts as “reliable," and what goes on Wikipedia. That’s why for years, Wiki's "communism" page made NO mention of the millions killed by that ideology. US border facilities are listed under "concentration camps,” on the same page as Wikipedia’s holocaust facilities. Can we fix this? Wikipedia is supposed to be a site that "anyone can edit," so I made an edit. You can find out what happened in the video above.
Wikipedia is the #1 research tool in the world, boasting over 18 billion views per month. It also pushes a radical left-wing agenda. Crowder and crew expose how they do it. #Wikipedia #Bias #FactCheck Go to 🤍 and use promo code “Crowder15” to get 15% off your next order. Try the Walther! Visit 🤍 to shop online or use the dealer locator to find a Walther dealer near you! NEW MERCH! 🤍 GET TODAY'S SHOW NOTES with SOURCES: 🤍 Join MugClub to watch this show every day! 🤍 Subscribe to my podcast on iTunes: 🤍 FOLLOW ME: Website: 🤍 Twitter: 🤍 Instagram: 🤍 TikTok: 🤍 Snapchat: 🤍 Facebook: 🤍 Shoutout: 🤍 Music by 🤍Pogo
Understanding the difference between bias and agenda can help us make better decisions about what information to trust. Visit 🤍 for more information and resources.
Help Support Weight Loss With This Secret Powder I Use ➡️ 🤍 ⬅️ Get FREE express delivery! Click Here ^^^^ ———————————————————————— ★★★ THE POPULIST REVOLT HAS JUST BEGUN ★★★ The co-founder of Wikipedia is SLAMMING the site for its Left-wing Bias, and this co-founder is doing something about it: He’s LAUNCHING His Own Alternative Free-Speech Site! In this video, we’re going to take a look at the ridiculously leftist bias that pervades Wikipedia, how the co-founder is actively launching a free-speech alternative, and how his launch is part of a larger world of parallel structures that promise a future free from the ridiculous cancel culture tyranny of the modern left! You are NOT going to want to miss this! ———————————————————————— ►FIGHT BACK AGAINST BIG TECH CENSORSHIP! SUBSCRIBE to my Brand-New RUMBLE Channel here: 🤍 ———————————————————————— ►PARLER IS BACK! Click Here to Subscribe to our NEW Parler feed: 🤍 ———————————————————————— ✅ LIMITED TIME OFFER! Get Your Copy of My Book RETURN OF CHRISTENDOM at a 50% DISCOUNT Here ➡️🤍 ———————————————————————— ►Help us REACH #1 with our NEW PODCAST PROGRAM! Download your podcasts here 🤍 ———————————————————————— ►Brought to you by Liberty Water: Working to quench the thirst of freedom-loving Americans. Get your water today at 🤍 ———————————————————————— ❤ WELCOME, EVERYONE!!! ❤ It's WONDERFUL to have you HERE! I post two videos a day analyzing current events in light of conservative trends so you can live in the present in light of even better things to come! ⚑ SHARE AND SUBSCRIBE TO MY CHANNEL ⚑ 🤍 ———————————————————————— ►BECOME A TURLEY TALKS INSIDERS CLUB MEMBER: 🤍 ►FIGHT BACK AGAINST BIG TECH CENSORSHIP! Sign-up here to discover Dr. Steve’s different social media options …. but without the censorship! 🤍 ►Download your own ‘Fake News Antidote’ Ebook here: 🤍 ✉ LET'S KEEP IN TOUCH! ✉ Make sure to sign-up for our ✉ TURLEY TALKS Email NEWSLETTER ✉ here: 🤍 ►FIGHT BACK AGAINST BIG TECH CENSORSHIP! Subscribe to my GAB PLATFORM: 🤍 ►Subscribe to my Brand-New RUMBLE Channel here: 🤍 ►Find me on BITCHUTE: 🤍
Presentation from the Research track during Wiki Workshop 2023. See here for more information on authors and their papers: 🤍
Vanessa Otero set out to rank an ever-growing partisan media landscape, with the belief that an informed public is a better public. Learn more about this story at 🤍 Find more videos like this at 🤍 Follow Newsy on Facebook: 🤍 Follow Newsy on Twitter: 🤍
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It's the go-to website for information on just about anything. But is the info on Wikipedia worth it's weight in megabytes? Trace has the answer and tells us about a new plan to up the accuracy of some of its most popular pages. Read More: UCSF First U.S. Medical School to Offer Credit For Wikipedia Articles 🤍 "UC San Francisco soon will be the first U.S. medical school at which medical students can earn academic credit for editing medical content on Wikipedia." Medical Students Can Now Earn Credit for Editing Wikipedia 🤍 "Starting this winter, medical students at the University of California San Francisco will be able to obtain academic credit from an unlikely source: Wikipedia." Using Wikipedia 🤍 "As a tool for scholarly research, Wikipedia can be either a grade-killer or a valuable friend, depending on who you ask and what you hope to accomplish using it. What is fairly certain is that your professor won't let you cite it in a scholarly research paper." Citing Wikipedia 🤍 Most university lecturers discourage students from citing any encyclopedia in academic work, preferring primary sources; some specifically prohibit Wikipedia citations. Wales stresses that encyclopedias of any type are not usually appropriate to use as citeable sources, and should not be relied upon as authoritative." Special Report Internet encyclopaedias go head to head 🤍 "Jimmy Wales' Wikipedia comes close to Britannica in terms of the accuracy of its science entries, a Nature investigation finds." Britannica attacks... and we respond. 🤍 Watch More: Are We All Internet Addicts? 🤍 Scientists Vs Internet Trolls 🤍 7 NEW Wonders Of the World: 🤍 DNews is dedicated to satisfying your curiosity and to bringing you mind-bending stories & perspectives you won't find anywhere else! New videos twice daily. Watch More DNews on TestTube 🤍 Subscribe now! 🤍 DNews on Twitter 🤍 Anthony Carboni on Twitter 🤍 Laci Green on Twitter 🤍 Trace Dominguez on Twitter 🤍 DNews on Facebook 🤍 DNews on Google+ 🤍 Discovery News 🤍
Let's talk about Wikipedia. Wikipedia is often maligned by teachers and twitter trolls alike as an unreliable source. And yes, it does sometimes have major errors and omissions, but Wikipedia is also the Internet's largest general reference work and as such an incredibly powerful tool. Today we'll discuss using Wikipedia for good - to help us get a birds-eye view of content, better evaluate information with lateral reading, and find trustworthy primary sources. Special thanks to our partners from MediaWise who helped create this series: The Poynter Institute The Stanford History Education Group (sheg.stanford.edu) Follow MediaWise and their fact-checking work across social: 🤍 🤍 🤍 🤍 MediaWise is supported by Google. Crash Course is on Patreon! You can support us directly by signing up at 🤍 Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Eric Prestemon, Sam Buck, Mark Brouwer, Naman Goel, Patrick Wiener II, Nathan Catchings, Efrain R. Pedroza, Brandon Westmoreland, dorsey, Indika Siriwardena, James Hughes, Kenneth F Penttinen, Trevin Beattie, Satya Ridhima Parvathaneni, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, SR Foxley, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, Advait Shinde, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore Want to find Crash Course elsewhere on the internet? Facebook - 🤍 Twitter - 🤍 Tumblr - 🤍 Support Crash Course on Patreon: 🤍 CC Kids: 🤍
In this video I cover some recent and major revisions that have recently been made to vs battle wiki and I uncover what I believe to be a both hypocritical and severe bias against the Naruto verse within VSB. My Discord- 🤍 My Twitter- 🤍 Surfbone's channel- 🤍 Link to KingBullet's Universal Naruto Video- 🤍 definitely go check out that one above after this video. Check out these video's below if you are interested in Naruto content. Link to my Kakuzu video- 🤍 Link to my Madara video- 🤍
Confirmation bias is a tendency to look for, interpret, and recall information in ways that affirm our preconception. Whenever we encounter objective facts on an issue we look at them through the lens of our own beliefs. As a result, we see and overrate where the two intercept. The bias is strongest for emotionally charged issues or when we search for desired outcomes. This joke illustrates it quite well... Subscribe to: 🤍 A special thank you to our patrons: Avigail, Badrah, Cedric Wang, David Markham, Denis Kraus, Don Bone, Esther Chiang, Eva Marie Koblin, John Zhang, Julien Dumesnil, Mathis Nu, and all the others!!! You keep us going! If you want to join us, visit 🤍 Read the entire script here: 🤍 SOURCES: 🤍 🤍 🤍 🤍 Classroom activity: 🤍 Subscribe to: 🤍
Tucker Carlson and Wikipedia co-founder discuss how the website has become more biased #FoxNews #Tucker Subscribe to Fox News! 🤍 Watch more Fox News Video: 🤍 Watch Fox News Channel Live: 🤍 FOX News Channel (FNC) is a 24-hour all-encompassing news service delivering breaking news as well as political and business news. The number one network in cable, FNC has been the most-watched television news channel for 18 consecutive years. According to a 2020 Brand Keys Consumer Loyalty Engagement Index report, FOX News is the top brand in the country for morning and evening news coverage. A 2019 Suffolk University poll named FOX News as the most trusted source for television news or commentary, while a 2019 Brand Keys Emotion Engagement Analysis survey found that FOX News was the most trusted cable news brand. A 2017 Gallup/Knight Foundation survey also found that among Americans who could name an objective news source, FOX News was the top-cited outlet. Owned by FOX Corporation, FNC is available in nearly 90 million homes and dominates the cable news landscape, routinely notching the top ten programs in the genre. Watch full episodes of your favorite shows The Five: 🤍 Special Report with Bret Baier: 🤍 Fox News Primetime: 🤍 Tucker Carlson Tonight: 🤍 Hannity: 🤍 The Ingraham Angle: 🤍 Fox News 🤍 Night: 🤍 Follow Fox News on Facebook: 🤍 Follow Fox News on Twitter: 🤍 Follow Fox News on Instagram: 🤍
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We are going to be explaining 12 cognitive biases in this video and presenting them in a format that you can easily understand to help you make better decision in your life. Cognitive biases are flaws in logical thinking that clear the path to bad decisions, so learning about these ideas can reduce errors in your thought process, leading to a more successful life. These biases are very closely related to logical fallacies, which may help you win an argument or present information better. Ismonoff: 🤍 1)Anchoring Bias 2)Availability Heuristic bias 3)Bandwagon Bias 4)Choice Supportive Bias 5)Confirmation Bias 6)Ostrich Bias 7)Outcome Bias 8)Overconfidence 9)Placebo bias 10)Survivorship Bias 11)Selective Perception Bias 12)Blind Spot Bias What I make my videos with: 🤍 Insta: 🤍 Twitter: 🤍 Facebook: 🤍 Check out MY Passive Income Ebook: 🤍
Watch the full episode here: 🤍 The Sitch and Adam Show ... YouTubers PSA Sitch and Adam Friended host this weekly Sunday show. It happens on some different channels but this playlist has every episode. Enjoy. 🤍 Pre-Orders for our comic are live NOW! Supervillains Anonymous (Graphic Novel): In a future perfect world where hunger and disease have been completely eliminated a rebel band of supervillains struggles to return the world to its more dangerous and magnificent days. Story by Sitch & Adam. Illustrated by Adam & CT. 🤍 Support the podcast on Subscribestar: 🤍 Send me a donation if you like what I do! 🤍
How does Bias ruin your research? (It probably doesn't, but sounds better this way!) And how do we avoid it? Tune in to find out! Resources used: Bordens, K. S., & Abbott, B. B. (2002). Research design and methods: A process approach. McGraw-Hill. Preece, J., Sharp, H., & Rogers, Y. (2015). Interaction design: beyond human-computer interaction. John Wiley & Sons. Beery, T. A. (1995). Gender bias in the diagnosis and treatment of coronary artery disease. Heart & Lung: The Journal of Cardiopulmonary and Acute Care, 24(6), 427-435. Choi, B. C., & Pak, A. W. (2005). A catalog of biases in questionnaires. Preventing chronic disease, 2(1), A13. Pannucci, C. J., & Wilkins, E. G. (2010). Identifying and avoiding bias in research. Plastic and reconstructive surgery, 126(2), 619–625. Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world?. The Behavioral and brain sciences, 33(2-3), 61–135. 🤍 🤍 🤍 🤍 🤍
Access the prototype here 🤍 + info 🤍 The aim of this research project is to improve the exploration experience of underpriviledged communities in creative archives. At the moment we have created a web app that will help individuals to explore a topic of their choice in Wikipedia and provide information (a feedback) that will highlight the type of stereotypical biases (memory transgressions towards stereotypes such as gender, race, economic background etc.) that characterize each information.
As the war in Ukraine continues, thousands of fakes and false claims are circulating. Staged attacks, old pictures reused and manipulated videos – what is real and what is not? In our Fact Check, we explain how we are debunking disinformation and propaganda from the war between Russia and Ukraine. Subscribe: 🤍 For more news go to: 🤍 Follow DW on social media: ►Facebook: 🤍 ►Twitter: 🤍 ►Instagram: 🤍 Für Videos in deutscher Sprache besuchen Sie: 🤍
Used NLP techniques to detect differences in the language used by different media sources to determine the biases inherent in the language. He classified articles from various sources from a selection of news sources across the political spectrum from far let to far right into categories based on their bias.
We spoke with one of Wikipedia's co-founders, Larry Sanger, who says the site has lost its neutral point of view and become biased. For example, he points to the site's article on former President Obama. It completely leaves out the Benghazi scandal where he repeatedly refused to beef up security before the attack on the diplomatic compound in Libya. Sanger tells us why he thinks Wikipedia is a lost cause. 💎Subscribe to NTD UK NEWS: 🤍 💎Follow us on Facebook: 🤍 💎Follow us on Instagram: 🤍 💎Join us on Telegram: 🤍 #NTDUK #News #UKNews More videos: 🤍
A brief off the cuff response to TL;DR’s latest video, which peripherally touched on a few things that I've been thinking about, since last years US election. TL;DR - Progressive Academic Echo Chambers 2: The Re-echoening 🤍 Wikipedia - United States presidential election, 2016 🤍 Business Insider - Half of the US population lives in these 9 states 🤍 The Guardian - US election night 2016 as it happened 🤍
This video was sponsored by Brilliant! To try everything Brilliant has to offer—free—for a full 30 days, visit 🤍 . The first 200 of you will get 20% off Brilliant’s annual premium subscription. Selection bias is a common problem that can occur when analyzing data that is not fully representative of the information intended to be studied. This can lead to inaccurate conclusions and decisions that are not based on the full picture. A classic example of selection bias is the story of the statistician Abraham Wald and the missing US Air Force planes. SUPPORT us to learn more about human beings! 🤍 🐦: DOWNLOAD video without ads and background music 🤫: 🤍 SIGN UP to our mailing list and never miss a new video from us 🔔: 🤍 SOURCES and teaching resources 🎓: 🤍 VISIT our website 🌐: 🤍 CONTRIBUTE by upvoting your favorite topic or suggesting new ones☑️ : 🤍 THANKS to our patrons This video was made with the support of our Patrons: Alex Rodriguez, Andrea Basillio Rava, Angela, ArkiTechy, Artur, azad bel, Badrah, Bernd Gaertner, Cedric.Wang, Daniele Diniz, David Markham, Delandric Webb, Digital INnov8ors, Dr. Matthias Müller-Mellin, Duane Bemister, Eva Marie Koblin, Fatenah G Issa, Floris Devreese, Frari63, Gerry Labelle, Ginger, Harmoniac Design, ICH KANN DEUTSCH UND ES WAR EINFACH!, Izzy, Jana Heinze, Jannes Kroon, Jeffrey Cassianna, Jim Pilgrim, Joanne Doyle, John Burghardt, Jonathan Schwarz, Jorge Luis Mejia Velazquez, jun omar ebdane, Khadijah Sellers, Leonel, Linus Linderoth, Lucia Simone Winston, Marcel, María, martin, Mathis Nu, Mezes.Macko, Michael Paradis, Mindozone, Natalie O’Brien, Nick Valerio, Nicki, Okan Elibol, Oweeda Newton, Peter Bishop, Povilas Ambrasas, Raymond Fujioka, Roel Vermeulen, Scott Gregory, scripz, Sebastian Huaytan Meder, Si, Stefan Gros, Stephen Clark, Stuart Bishop, Susan Schuster, Takashi HIROSE, Thomas Aschan, Tristan Scifo, Victor Paweletz, Yassine Hamza, Yvonne Clapham and all the others.Thank you! To join them visit 🤍patreon.com/sprouts ORIGINAL TITLE The Selection Bias COLLABORATORS Script: Jonas Koblin Co-Author: Ludovico Saint Amour Di Chanaz Artist: Pascal Gaggelli Voice: Matt Abbott Coloring: Nalin Editing: Peera Lertsukittipongsa Production: Selina Bador Sound Design: Miguel Ojeda SOUNDTRACKS Magical Keys - Studio Le Bus Midnight Mischief - Jonathan Boyle Nice Toys - Studio Le Bus DIG DEEPER with these top videos, games and resources: Read about Simpson’s paradox 🤍 Read this article about the different possible types of selection bias 🤍 Read about why a Hospital is the most dangerous place on earth. 🤍 Read this article on how to avoid selection bias in geriatric research. 🤍 SOURCES 🤍 🤍 🤍 CLASSROOM ACTIVITY Visit our website to see suggested activity for classroom on this topic. CHAPTER 00:00 Introduction 00:20 Selection Bias 00:34 Abraham Wald's story 01:38 The missing planes 02:22 The simpson paradox 02:38 The real example 03:19 Conclusion 03:33 What do you think? 04:23 Brilliant 05:29 Patrons credits 05:38 Ending #sproutsschools #selectionbias #bias #psychology
In this video, we will explore What is Selection Bias. Selection bias is an experimental error that occurs when the participant pool, or the subsequent data, is not representative of the target population. _ Hey, I’m Janis, but most people know me as a Productivity Guy. I create content about productivity with the main mission being to educate and inspire people to transform their lives through effective principles and strategies. Below, I will list some of my best resources that you can explore. _ 🔥 Get My Free Productivity Framework 👉 Template - 🤍 The Ultimate Productivity System that you need to stay organized, productive, and in control of your life. Grab your Free Copy Today! _ 🎯 #1 Training for Goal Setting (Free) 👉 Link - 🤍 In this FREE training, you will learn how to consistently and predictably achieve your goals, while enjoying the process of doing it. (This is real gold) _ 🏆 Coaching / Mentoring 👉 Link - 🤍 If you are looking for someone to support you on your journey towards accomplishing your goals then I’m here to help. Check out the coaching section on my website or just email me - at janis.krekovskis🤍gmail.com _ 🙌 Sponsorships / Collaborations I’m open to different opportunities to collaborate with other creators and businesses as long as the audience will benefit from the collaboration. Feel free to contact me :) 📈 General and Corporate Enquiries I create presentations and resources as well as provide training for organizations covering a wide range of topics, such as Time Management, Decision-Making, Goal Setting, Motivation, Culture, Productivity, Etc. Please feel free to contact me for more information. 💡 Content Use If you want to use some of my content in your presentation for education or training purposes then please email me and I will be happy to grant you permission. _ 🚀 My Website 👉 Link - 🤍 You will find more resources and information about me if you visit my website. Kind Regards, Janis #productivityguy
For years, Wikipedia - the world's largest online encyclopaedia - has ranked among the top visited websites in the world. It is likely the first result to pop up on an internet search. And since 2001, the "Free Encyclopaedia" has become a key source for online discovery and research. But more than 80% of Wikipedia's volunteer editors are male, and the gender imbalance is reflected in its articles, say Wikipedians working to address the site's gender bias and lack of inclusivity. Over the years, numerous efforts by the Wikimedia Foundation and others have been made to encourage more articles and citations focused on highlighting the accomplishments of women. Wikipedia entries about women are less likely to be accepted and annotated by its online community of editors. A 2021 study found that 41% of Wikipedia biographies nominated for deletion were about women. That figure seems staggering given that only 19% of published Wikipedia biographies are about women, according to the Wikiproject Women in Red. In this episode of The Stream, we’ll look at some of the editing initiatives that are working to fight gender bias, one Wikipedia entry at a time. Join the conversation: TWITTER: 🤍 FACEBOOK: 🤍 Subscribe to our channel 🤍 #aljazeeraenglish #ajstream #wikipedia
This video talks about the technology that allowed us to use tape to record audio. Without "bias", we would have had much trouble getting tape recordings to sound good. Many are familiar with bias because they used cassette decks to record their records, and there were buttons that changed the bias, depending on what kind of tape was being used. It's not very understood by most people, so I decided to share the technology. It's why music on tape has sounded so good since the 60s and even before. Wiki about tape bias: 🤍 Shirts: 🤍 My Friday night live show: 🤍
Dive into the phenomenon known as circular reporting and how it contributes to the spread of false news and misinformation. In previous decades, most news with global reach came from several major newspapers and networks with the resources to gather information directly. The speed with which information spreads now, however, has created the ideal conditions for something called circular reporting. Noah Tavlin sheds light on this phenomenon. Lesson by Noah Tavlin, animation by Patrick Smith. Sign up for our newsletter: 🤍 Support us on Patreon: 🤍 Follow us on Facebook: 🤍 Find us on Twitter: 🤍 Peep us on Instagram: 🤍 View full lesson: 🤍
#Attentionalbias #audioversity ~~~ Attentional bias ~~~ Title: What is Attentional bias?, Explain Attentional bias, Define Attentional bias Created on: 2018-12-09 Source Link: 🤍 Description: Attentional bias is the tendency for people's perception to be affected by their recurring thoughts at the time. Attentional biases may explain an individual's failure to consider alternative possibilities, as specific thoughts guide the train of thought in a certain manner. For example, smokers tend to possess a bias for cigarettes and other smoking-related cues around them, due to the positive thoughts they've already attributed between smoking and the cues they were exposed to while smoking. Attentional bias has also been associated with clinically relevant symptoms such as anxiety and depression. To see your favorite topic here, fill out this request form: 🤍 Source: Wikipedia.org articles, adapted under 🤍 license. Support: Donations can be made from 🤍 to support Wikimedia Foundation and knowledge sharing.
Wikipedia does not care about rational thinking. This video shows why this is, using the Cultural Marxism article as an example. LINKS All My Links: 🤍 If you want to leave me a tip / support my content: 🤍 Follow me on Twitter for channel updates and general bantz: 🤍 My Discord: 🤍 Odysee Backup: 🤍 Rumble Backup: 🤍 = Additional reading: 🤍 🤍
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This video is about Wikipedia
In this video, we explore the conviction bias, a cognitive bias that causes people to hold onto their beliefs and opinions with unwavering certainty, even in the face of contradictory evidence. We delve into the mechanisms behind this bias and its impact on decision-making and behavior. #convictionbias #theory #decisionmaking References and citations: 🤍 🤍
This is an audio version of the Wikipedia Article: 🤍 00:00:21 1 Net neutrality 00:00:42 2 Models of net bias 00:00:53 2.1 Tiered service (specialized service, bandwidth partitioning) 00:01:14 2.2 Metering 00:01:35 2.3 Bandwidth throttling 00:01:56 2.4 Blocking (port blocking) 00:02:17 3 Technical component for net bias 00:02:39 4 Motivations 00:03:00 4.1 Economic motivations 00:03:21 4.2 Political motivations 00:03:42 4.3 Internet censorship 00:04:03 5 Concerns regarding discrimination 00:04:25 5.1 Concerns about economic discrimination 00:04:46 5.1.1 Viewpoint of Pro-discrimination advocates 00:05:07 5.1.2 Argument Against Data Discrimination 00:05:28 5.2 Concerns about political discrimination 00:06:00 6 The FCC and Data Discrimination 00:06:21 6.1 FCC Appeals 00:06:43 6.2 Evidence of Anti-competitiveness 00:07:04 7 Examples Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: 🤍 Other Wikipedia audio articles at: 🤍 Upload your own Wikipedia articles through: 🤍 Speaking Rate: 0.8063442865078569 Voice name: en-US-Wavenet-E "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY = Net bias (or network bias) is the counter-principle to net neutrality, which indicates differentiation or discrimination of price and the quality of content or applications on the Internet by ISPs. Similar terms include data discrimination and network management. Net bias occurs when an ISP drops packets or denies access based on artificially induced conditions such as simulating congestion or blocking packets, despite the fact that ample capacity exists to carry traffic. Examples (models) of net bias include tiered service (specialized service), metering, bandwidth throttling, and port blocking. These forms of net bias are achieved by technical advancements of the Internet Protocol. The idea of net bias can arise from political and economic motivations and backgrounds, which create some concerns regarding data discrimination arising from political and economic interests. Non-discrimination means that one class of Internet customers may not be favored over another. According to this view, the Internet should continue "to operate in a nondiscriminatory manner, both in terms of how subscribers access and receive Internet transmitted services and how content and other service providers reach subscribers." Every internet user should have equal upload and download capabilities on every network.
→🤍 | Watch the full episode of The Ezra Levant Show (SUBSCRIBERS ONLY) Guest host David Menzies is joined by Rebel News contributor Ian Miles Cheong to discuss the #TwitterFiles and Elon Musk's assertion that Wikipedia has a 'non-trivial left-wing bias'. Visit Rebel News for more on this story → 🤍 Originally published by Rebel News for RebelNews+ subscribers. Learn more at 🤍
What is Bias? What is the tradeoff between bias and variance? These questions and more answered today! ABOUT ME ⭕ Subscribe: 🤍 📚 Medium Blog: 🤍 💻 Github: 🤍 👔 LinkedIn: 🤍 RESOURCES [1] What are estimators? 🤍 [2] The importance of Mean Squared Error and it's bias-variance decomposition: 🤍 [3] Unbiased Estimators: 🤍 [4] Bias Variance Tradeoff: 🤍 [X] More resources on bias-variance decomposition: 🤍 MATH COURSES (7 day free trial) 📕 Mathematics for Machine Learning: 🤍 📕 Calculus: 🤍 📕 Statistics for Data Science: 🤍 📕 Bayesian Statistics: 🤍 📕 Linear Algebra: 🤍 📕 Probability: 🤍 OTHER RELATED COURSES (7 day free trial) 📕 ⭐ Deep Learning Specialization: 🤍 📕 Python for Everybody: 🤍 📕 MLOps Course: 🤍 📕 Natural Language Processing (NLP): 🤍 📕 Machine Learning in Production: 🤍 📕 Data Science Specialization: 🤍 📕 Tensorflow: 🤍
Confirmation bias is the tendency to search for, interpret, favor, and recall information in a way that confirms or supports one's prior beliefs or values. People display this bias when they select information that supports their views, ignoring contrary information, or when they interpret ambiguous evidence as supporting their existing attitudes. The effect is strongest for desired outcomes, for emotionally charged issues, and for deeply entrenched beliefs. Confirmation bias cannot be eliminated, but it can be managed, for example, by education and training in critical thinking skills. Biased search for information, biased interpretation of this information, and biased memory recall, have been invoked to explain four specific effects: (1) attitude polarization (when a disagreement becomes more extreme even though the different parties are exposed to the same evidence), (2) belief perseverance (when beliefs persist after the evidence for them is shown to be false), (3) the irrational primacy effect (a greater reliance on information encountered early in a series), and (4) illusory correlation (when people falsely perceive an association between two events or situations). A series of psychological experiments in the 1960s suggested that people are biased toward confirming their existing beliefs. Later work re-interpreted these results as a tendency to test ideas in a one-sided way, focusing on one possibility and ignoring alternatives. In general, current explanations for the observed biases reveal the limited human capacity to process the complete set of information available, leading to a failure to investigate in a neutral, scientific way. Flawed decisions due to confirmation bias have been found in political, organizational, financial and scientific contexts. These biases contribute to overconfidence in personal beliefs and can maintain or strengthen beliefs in the face of contrary evidence. For example, confirmation bias produces systematic errors in scientific research based on inductive reasoning (the gradual accumulation of supportive evidence). Similarly, a police detective may identify a suspect early in an investigation, but then may only seek confirming rather than disconfirming evidence. A medical practitioner may prematurely focus on a particular disorder early in a diagnostic session, and then seek only confirming evidence. In social media, confirmation bias is amplified by the use of filter bubbles, or "algorithmic editing", which display to individuals only information they are likely to agree with, while excluding opposing views. ✅ ABOUT ▬▬▬▬▬▬▬▬▬▬▬▬▬ • My goal is to foster a community of learners with broad understandings. As someone who enjoys learning different things, I want to share my passion with you. • All topics are covered ranging from simple to complex. • Subscribe if you like to learn new things. ✅ CREDITS ▬▬▬▬▬▬▬▬▬▬▬▬▬ • Song: Fredji - Happy Life (Vlog No Copyright Music) Music provided by Vlog No Copyright Music. Video Link: 🤍 • This video uses material from the Wikipedia article Confirmation bias 🤍 which is released under the Creative Commons Attribution-Share-Alike License 3.0 🤍 • Images are used under one of the following: fair use, CC BY, CC BY-SA, CC BY-ND, CC BY-NC, CC BY-NC-SA, CC BY-NC-ND.
This is an audio version of the Wikipedia Article: 🤍 00:03:01 1 Definition and context 00:04:23 1.1 Biased search for information 00:12:05 1.2 Biased interpretation 00:18:27 1.3 Biased memory 00:24:07 2 Individual differences 00:27:39 3 Historical Observations 00:31:38 4 Initial hypothesis-testing studies 00:37:08 5 Information processing explanations 00:37:31 5.1 Cognitive versus motivational explanations 00:40:36 5.2 Cost-benefit explanation 00:43:04 5.3 Exploratory versus confirmatory explanations 00:44:42 5.4 Make-believe explanation 00:45:31 6 Real-world effects 00:45:41 6.1 Social media 00:46:49 6.2 Finance 00:47:48 6.3 Physical and mental health 00:49:26 6.4 Politics and law 00:51:52 6.5 Science 00:54:56 6.6 Social psychology (the self) 00:56:04 6.7 Paranormal beliefs 00:57:43 7 Related effects 00:57:53 7.1 Polarization of opinion 01:03:34 7.2 Persistence of discredited beliefs 01:06:33 7.3 Preference for early information 01:08:54 7.4 Illusory association between events 01:11:32 8 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: 🤍 Other Wikipedia audio articles at: 🤍 Upload your own Wikipedia articles through: 🤍 Speaking Rate: 0.7448454187085253 Voice name: en-GB-Wavenet-D "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY = Confirmation bias is the tendency to search for, interpret, favor, and recall information in a way that confirms one's preexisting beliefs or hypotheses. It is a type of cognitive bias and a systematic error of inductive reasoning. People display this bias when they gather or remember information selectively, or when they interpret it in a biased way. The effect is stronger for desired outcomes, emotionally charged issues, and for deeply entrenched beliefs. Confirmation bias is of particular current interest because of the increasing polarisation between left-wing and right-wing political viewpoints, and the gullible acceptance of the current rapid spread of fake news.People also tend to interpret ambiguous evidence as supporting their existing position. Biased search, interpretation and memory have been invoked to explain attitude polarization (when a disagreement becomes more extreme even though the different parties are exposed to the same evidence), belief perseverance (when beliefs persist after the evidence for them is shown to be false), the irrational primacy effect (a greater reliance on information encountered early in a series) and illusory correlation (when people falsely perceive an association between two events or situations). A series of psychological experiments in the 1960s suggested that people are biased toward confirming their existing beliefs. Later work re-interpreted these results as a tendency to test ideas in a one-sided way, focusing on one possibility and ignoring alternatives. In certain situations, this tendency can bias people's conclusions. Explanations for the observed biases include wishful thinking and the limited human capacity to process information. Another explanation is that people show confirmation bias because they are weighing up the costs of being wrong, rather than investigating in a neutral, scientific way. However, even scientists and intelligent people can be prone to confirmation bias.Confirmation biases contribute to overconfidence in personal beliefs and can maintain or strengthen beliefs in the face of contrary evidence. Poor decisions due to these biases have been found in political and organizational contexts.
Gender bias on Wikipedia Gender bias on Wikipedia refers to criticism of the online encyclopedia Wikipedia, and especially its English-language site, arguing that the nature and quantity of its content are biased due to the fact that a dominant majority of Wikipedia editors are male It is among the most frequent criticisms of Wikipedia, and part of a more general criticism about systemic bias in Wikipedia The Wikimedia Foundation, which runs Wikipedia, agrees with this criticism and has made an ongoing attempt to increase female editorship of Wikipedia Contents 1 Research findings 2 Causes 3 Reaction 4 Efforts to increase female editorship 5 See also 6 References 7 Further reading 71 Media coverage 72 Research and advice 8 External links Research findings External video Research proves gender imbalance on Wikipedia, 2:45, University of Minnesota1 Where Are All the Women Wikipedia’s Gender Gap, 1:12:40, West Virginia University2 Some surveys have indicated that only about 85–16 percent of Wikipedia editors are female345 Consequently, Wikipedia has been criticized by some academgender bias on wikipedia the free, gender bias on wikipedia english, gender bias on wikipedia stormy, gender bias on wikipedia español Gender bias on Wikipedia
IHES celebrated the 2022 International Day of Women in Mathematics through an event that took place on Tuesday, May 17. Indira Chatterji, professor of mathematics at the University Côte d’Azur, gave a talk entitled Institutional bias, explained by a mathematician. #womeninmaths #womeninmathematics In statistics, a bias is the discrepancy between the theoretical value of a variable and the observed value. For example, it is widely accepted that men and women have the same intellectual capacity regarding mathematics, but we observe that there are very few female mathematicians. On neutral examples, we will study how biases can be created.
This video explores the trickery of availability bias, a cognitive bias that can cause us to make flawed decisions based on our perceptions. Learn what availability bias is, how it works, and how to overcome it to make better decisions. #availabilitybias #theory #perception References and citations: 🤍 🤍
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