쉐도잉 연습: The Algorithm Game (And Why We’re Not Really Playing) - YouTube로 영어 말하기 배우기
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Attention!
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Attention!
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It's our most valuable resource.
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It's kind of all that we have.
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So why is it so hard not to constantly give it away?
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Hi, I'm Hank Green.
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I'm Sage.
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I'm Amanda Montel.
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I'm Kushan Alvidar.
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Hi, I'm Kirly Velasquez.
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I'm Che Jim.
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Okiniksokoeks.
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Nistunetanikupitaaki.
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Hi, I'm John Green.
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Hi, I'm Shanbudram.
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And this is Crash Course.
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Okay, so I think it's very important that you pay attention to this video.
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So we've got a plan.
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At random points, I'm going to flip a coin,
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and if it's heads, I get to eat a peanut M&M,
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and if it's tails, I get to eat a clove of garlic.
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What's really driving what we pay attention to?
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Is it the dreaded social media algorithm,
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the result of some evil genius design?
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Or is it human nature,
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that we are the ones who are simply hardwired for distraction and outrage and whatever this is?
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Social media platforms, including YouTube,
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are what's called complex systems,
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meaning behavior happens in non-linear ways,
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often unpredictably, and you can't fully understand it by looking at just individual components.
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Instead, you have to look at how those components interact.
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Oh my god, we're flipping a coin already.
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We're flipping a coin already.
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We got heads.
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The door is heads.
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Pin-a-dum-a-dum.
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When we talk about social media algorithms these days,
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we're mostly talking about content recommendation algorithms.
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That's how your various feeds get generated and constantly optimized based on your previous behavior.
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The thing is, there's so much more data on your implicit
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or knee-jerk unthinking behavior — like how long you lingered on a video,
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for example — than on your explicit or intended behavior — like clicking thumbs up or thumbs down.
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And that means that algorithms are plugged into our most underbaked lizard brain reactions,
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giving us more and more of that video you hate-watched in the moment and then felt gross about later,
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and less and less of what the best versions of ourselves actually want to see.
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And that in turn puts pressure on creators to optimize for things like outrage.
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I have an example of this.
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My brother recently made a video called We Know How to End Tuberculosis.
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And it was on track to be one of the Vlogbrothers' worst performing videos in recent history.
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Even though it is literally about the deadliest infectious disease of all time
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and the fact that we know how to cure it.
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So I changed the title of the video.
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I changed it to Elon Canceled This, Let's Do It Anyway.
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And it went from being our worst performing video of the month to the best performing video of the month,
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which was good for educating the world about tuberculosis,
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but also, I still felt kinda bad about it.
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So you see what I mean?
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It's hard not to give in to this pressure to change your story so it latches onto negative emotions.
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It's everywhere.
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It's how news is framed,
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it's in the scientific information we receive, and so much more.
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And algorithms aren't just amplifying outrage.
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Some studies have even shown
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that lies spread more quickly than true information on social media precisely because they seem novel or surprising.
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They capture our attention.
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Okay, there it is.
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They capture our attention.
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And thus I capture...
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I got another heads, everybody.
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I dropped it.
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I love this game.
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It's gonna be hilarious when I don't eat any garlic.
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But here's the thing.
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Over here at Crash Course,
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we're not really playing the algorithm game.
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I I mean, we will try to hook you with engaging titles and thumbnails and mead and garlic cloves, of course.
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But a video about mitosis is always going to be a video about mitosis.
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And what are we going to do,
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like, not teach you about mitosis?
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The people gotta know!
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At Crash Course, we're not choosing what stories to tell based on what's going to make the algorithm happy.
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We're choosing to teach what needs to be taught.
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In the last year, we wrapped up our series on religions and political theory,
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we released new ones on sex ed,
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Native American history, Latin American literature,
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kids' literature, futures of artificial intelligence, and scientific thinking.
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Science High Five!
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We're also continuing to experiment with longer form videos,
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the latest one featuring best-selling author Amanda Montel talking about linguistics and persuasion.
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Many of the topics we cover are under-taught and underfunded,
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subjects where teachers and students have limited access to high-quality resources,
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and they're subjects that many of us wish we were taught.
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I cannot tell you how many times I have heard from
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people decades out of school who were watching a series like
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Native American History trying to fill in the gaps in their education.
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And here's the amazing thing.
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We're not really playing the algorithm game.
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And yet, Crash Course was viewed 143 million times last year.
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Because people all over the world made the conscious choice to give us their attention.
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That is incredible, and we are so grateful.
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And we've got lots more in store for you.
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Geology, English language arts, a series that will answer big questions on US government and politics,
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more long-form lectures, and now that our content studio Complexly is a nonprofit,
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we belong to the public.
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And Crash Course is better poised than ever to keep making trustworthy content that is freely accessible.
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Another...
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Okay.
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Can I continue my streak?
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I cannot.
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I chose a small one.
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That's spicy!
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That's why we cook those.
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But listen, not playing the algorithm game comes at a cost.
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It is expensive to make high quality educational material,
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especially when you don't cater to the whims of the internet,
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though I admit I am kind of doing that right now.
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Not every Crash Course video is worked on by 20 plus human people who are absolutely devoted to quality and integrity.
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From subject matter experts to writers,
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editors, producers, animators, hosts, the list goes on.
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And that's why we need you.
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Each year, we produce a new Crash Course coin.
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And each coin that people like you purchase helps us reach thousands of learners.
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This year, the coin is inspired by our goal and commitment to being a signal in the noise.
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It shows a sound wave that for us represents our commitment to offering clarity, context, and meaning.
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And actually, this is the sound wave for the words knowledge weighs nothing,
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which is part of a phrase that we've printed on every Crash Course coin to date.
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Knowledge weighs nothing, carry all you can.
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These coins are beautiful objects minted in Arkansas from hand engraved dyes at Shire Post Mint,
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and they are only available for a limited time.
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Each coin represents your ability to help us reach thousands of learners.
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For example, every $100 coin helps us reach 2,000 learners,
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and every $500 coin helps us reach 10,000 learners.
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This year, we are also offering coins that help us reach 20,000 and 100,000 learners.
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And this is our sixth year of the Crash Course Coin and our first year as a nonprofit.
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It feels a little weird to say this,
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but some of you have asked for an even higher value coin,
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so we created a big hefty bronze coin that represents your ability to help us reach 200,000 learners.
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Oh, God.
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Is this the last one?
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it to tails.
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Oh, this is a chunker.
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Yes.
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Okay.
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Oh my God.
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It's getting so hot.
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I'm fine.
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I know that the conceit of this video is somewhat silly,
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but we are truly honored to do this work.
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I think of Crash Course as one of the most meaningful projects I have ever been a part of.
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Your purchase of the coin at any level allows us to create some of the best possible educational resources
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and make them accessible anytime, anywhere.
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We take that responsibility extremely seriously,
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so thank you for your attention and for your support.
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The 2026 Crash Course Coins are only available until May 29th.
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Go to crashcoursecoin.com now or check the link in the description and help us keep Crash Course free for everyone forever.
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For more
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information
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visit www.fema.org
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이 수업에서는 유튜브 영어 공부를 위한 영상을 통해 주의력과 알고리즘에 대한 이해를 높이는 데 중점을 둡니다. 특히, 영상 속 대화를 듣고 따라하면서 영어 발음을 교정하고, 말하기 능력을 향상시키는 연습을 합니다. 이 과정을 통해 복잡한 시스템과 인간의 본성에 대한 통찰을 얻고, 실생활에서 사용할 수 있는 표현을 습득할 수 있습니다.
주요 어휘 및 구문
- Attention - 주의, 주목
- Algorithm - 알고리듬
- Distraction - 산만함, 방해
- Social media - 소셜 미디어, 사회적 매체
- Recommendation - 추천
- Implicit Behavior - 암묵적 행동
- Explicit Behavior - 명시적 행동
- Outrage - 분노, 격분
연습 팁
이 비디오에서 강의자들은 다양한 속도와 억양으로 대화합니다. shadowspeaks 기법을 활용하여 각 강의자의 발음을 따라 해보세요. 특히, 이야기를 듣는 동안 shadow speak 연습을 통해 말하기 능력을 향상시킬 수 있습니다. 다음의 단계를 따라 해보세요:
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