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6 TikTok Hacks for More Productive Dissertation Writing

Published by Owen Ingram at August 2nd, 2023 , Revised On October 5, 2023

Writing a dissertation can feel overwhelming. There’s a great deal of information to process and a seemingly endless number of tasks to manage. But what if you could harness the power of TikTok to help you through this mammoth task? Yes, you guessed right.

In this article, we’ll explore six clever TikTok hacks that can make your dissertation writing experience more productive and less stressful. And if you’re the one creating study content, consider exploring how to buy real TikTok views to reach a wider audience with your academic brilliance! Either way, let’s dive right in!

1. Tap into the #StudyTok Community

The #StudyTok tag is brimming with tips, tricks, and inspiration to help you ace your dissertation. This thriving community is not only supportive but also chock-full of practical advice from those who have been in your shoes. Engage with the community, ask questions, and share your journey. The best part? You’ll find comfort in knowing you’re not alone in your struggles.

2. Use Pomodoro Technique Videos

As we move along, let’s discuss time management, a crucial aspect of dissertation writing. Have you heard of the Pomodoro Technique? It’s a method of breaking work into intervals, typically 25 minutes long, separated by short breaks. This hack is designed to combat procrastination and promote focus. Many TikTok users share live videos of their own “Pomodoro sessions,” providing you with real-time study companionship. Look for these videos, set your timer, and get to writing!

3. Learn from Writing Tips and Hacks

Next up are the writing tips and hacks that abound on TikTok. Users share innovative techniques for creating outlines, structuring arguments, citing sources, and more. Some of these may be applicable to your specific needs. So why not take a short break from your work, browse the app, and perhaps discover a writing hack that could revolutionize your approach to your dissertation?

4. Leverage TikTok for Stress Relief

Now, let’s not forget the toll a dissertation can take on your mental well-being. Stress relief is just as essential to your productivity as good writing habits. TikTok is home to a wide range of content that can help you unwind. Consider watching a few light-hearted videos or even partaking in a short yoga session between your Pomodoro rounds. It can do wonders for your mental reset and prepare you for your next writing sprint.

5. Apply Motivational Content

Dissertation writing can sometimes feel like an uphill battle. If you find your motivation waning, TikTok can provide a much-needed boost. Numerous users share their success stories, motivational quotes, and uplifting messages that can rekindle your determination. Such content can act as a gentle reminder of your potential and the value of your hard work.

6. Seek Dissertation-Specific Advice

Last but not least, look for TikTok videos from academics and educators that provide specific dissertation advice. Whether it’s guidance on literature reviews, data analysis, or viva preparation, you’re likely to find it on TikTok. Remember, some of the users sharing such content have been through the dissertation process themselves, and their insights can be invaluable.

Also, read about the top 5 online summarizers available for students

While TikTok may primarily be a source of entertainment for many, it can also serve as a tool for productivity. These six hacks show that you can use the platform to your advantage when writing your dissertation. So, don’t hesitate to explore these avenues, absorb what you find useful, and incorporate them into your process. With a little creativity and a pinch of TikTok magic, your dissertation journey might just become a little less daunting.

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Ready or not, AI is in our schools

(We’re not ready.)

By Mack DeGeurin | Published Apr 11, 2024 2:24 PM EDT

Students worldwide are using generative AI tools to write papers and complete assignments. Teachers are using similar tools to grade tests. What exactly is going on here? Where is all of this heading? Can education return to a world before artificial intelligence? 

How many students are using generative AI in school?  

Many high school and college-age students embraced popular generative AI writing tools like OpenAI’s ChatGPT almost as soon as they started gaining international attention in 2022. The incentive was pretty clear. With just a few simple prompts, large language models (LLMs) at the time could scour their vast databases of articles, books, and archives and spit out relatively coherent short-form essay or question responses in seconds. The language wasn’t perfect and the models were prone to fabricating facts , but they were good enough to skirt past some educators, who, at the time, weren’t primed to spot tell-tell signs of AI manipulation .

The trend caught on like wildfire. Around one in five highschool aged teens who’ve heard about ChatGPT say they have already used the tools on classwork, according to a recent Pew Research survey. A separate report from ACT, which creates one of the two most popular standardized exams for college admission, claims nearly half (46%) of high school students have used AI to complete assignments. Similar trends are playing out in higher education. More than a third of US college students (37%) surveyed by the online education magazine Intelligent.com say they’ve used ChatGPT either to generate ideas, write papers, or both.

Those AI tools are finding their way onto graded papers. Turnitin, a prominent plagiarism detection company used by educators, recently told Wired it found evidence of AI manipulation in 22 million college and high school papers submitted through its service last year. Out of 200 million papers submitted in 2023, Turnitin claims 11% had more than 20% of its content allegedly composed using AI-generated material. And even though generative AI usage generally has cooled off among the general public , students aren’t showing signs of letting up. 

Educators turn to imperfect AI detection tools 

Almost immediately after students started using AI writing tools, teachers turned to other AI models to try and stop them . As of writing, dozens of tech firms and startups currently claim to have developed software capable of detecting signs of AI-generated text. Teachers and professors around the country are already relying on these to various degrees. But critics say AI detection tools, even years after ChatGPT became popular, remain far from perfect.

A recent analysis of 18 different AI detection tools in the International Journal for Educational Integrity highlights a lack of comprehensive accuracy. None of the models studied accurately differentiated AI generated material from human writing. Worse still, only five of the models achieved an accuracy above 70%. Detection could get even more difficult as AI writing models improve over time. 

Accuracy issues aren’t the only problem with limiting AI detection tools effectiveness. An overreliance on these still developing detection systems risks punishing students who might use otherwise helpful AI software that, in other contexts, would be permitted. That exact scenario played out recently with a University of North Georgia student named Marley Stevens who claims an AI detection tool interpreted her use of the popular spelling and writing aid Grammarly as cheating . Stevens claims she received a zero on that essay, making her ineligible for a scholarship she was pursuing.

“I talked to the teacher, the department head, and the dean, and [they said] I was ‘unintentionally cheating,’” Stevens alleged in a TikTok post . The University of North Georgia did not immediately respond to PopSci’s request for comment. 

There’s evidence current AI detection tools also mistakenly confuse genuine human writing for AI content. In addition to general false positives, Stanford researchers warn detection tools may disproportionately penalize writing from non-native speakers . More than half (61.2%) of essays written by US-born, non-native speaking eighth graders included in the research were classified as AI generated. 97% of the essays from non-native speakers were flagged as AI generated by at least one of the seven different AI detection tools tested in the research. Widely rolled out detection tools could put more pressure on non-native speakers who are already tasked with overcoming language barriers. 

How are schools responding to the rise in AI?

Educators are scrambling to find a solution to the influx of AI writing. Some major school districts in New York and Los Angeles have opted to ban use of the ChatGPT and related tools entirely. Professors in universities around the country have begun begrudgingly using AI detection software despite recognizing its known accuracy shortcomings. One of those educators, Michigan Technological University Professor of Composition, described these detectors as a “tool that could be beneficial while recognizing it’s flawed and may penalize some students,” during an interview with Inside Higher Ed . 

Others, meanwhile, are taking the opposite approach and leaning into AI education tools with more open arms. In Texas, according to The Texas Tribune , the state’s Education Agency just this week moved to replace several thousand human standardized test grades with an “automated scoring system.” The agency claims its new system, which will score open-ended written responses included in the state’s public exam, could save the state $15-20 million per year. It will also leave an estimated 2,000 temporary graders out of a job. Elsewhere in the state, an elementary school is reportedly experimenting with using AI learning modules to teach children basic core curriculums and then supplementing that with human teachers. 

AI in education: A new normal 

While its possible AI writing detection tools could evolve to increase accuracy and reduce false positives, it’s unlikely they alone will transport education back to a time prior to ChatGPT. Rather than fight the new normal, some scholars argue educators should instead embrace AI tools in classrooms and lecture halls and instruct students how to use them effectively. In a blog post , researchers at MIT Sloan argue professors and teachers can still limit use of certain tools, but note they should do so through clearly written rules explaining their reasoning. Students, they write, should feel comfortable approaching teachers to ask when AI tools are and aren’t appropriate.

Others, like former Elon University professor C.W. Howell argue explicitly and intentionally exposing students to AI generated writing in a classroom setting may actually make them less likely to use it. Asking students to grade an AI-generated essay, Howell writes in Wired , can give students first hand experience noticing the way AI often fabricates sources or hallucinate quotes from an imaginary ether. AI generated essays, when looked at through a new lens, can actually improve education.

“Showing my students just how flawed ChatGPT is helped restore confidence in their own minds and abilities,” Howell writes. 

Then again, if AI does fundamentally alter the economic landscape as some doomsday enthusiasts believe , students could always spend their days learning how to engineer prompts to train AI and contribute to the architecture of their new AI-dominated future.

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Home — Essay Samples — Sociology — TikTok — TikTok’s Impact on Social Media

Tiktok's Impact on Social Media

• Categories: TikTok

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Words: 850 |

Published: Jan 30, 2024

Words: 850 | Pages: 2 | 5 min read

Table of contents

Understanding tiktok's impact on social media, analyzing the positive aspects of tiktok, evaluating the negative aspects of tiktok, examining the controversies surrounding tiktok.

• Nandini Jammi, "TikTok is going to outlast Trump, but in the end, we're used to being guinea pigs," Poynter Institute, August 13, 2020.
• John E. Dunn, "Why privacy advocates hate TikTok," Naked Security by Sophos, July 28, 2020.
• Karen Hao, "The complete guide to TikTok safety settings," MIT Technology Review, July 31, 2020.

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Students Are Likely Writing Millions of Papers With AI

Students have submitted more than 22 million papers that may have used generative AI in the past year, new data released by plagiarism detection company Turnitin shows.

A year ago, Turnitin rolled out an AI writing detection tool that was trained on its trove of papers written by students as well as other AI-generated texts. Since then, more than 200 million papers have been reviewed by the detector, predominantly written by high school and college students. Turnitin found that 11 percent may contain AI-written language in 20 percent of its content, with 3 percent of the total papers reviewed getting flagged for having 80 percent or more AI writing. (Turnitin is owned by Advance, which also owns Condé Nast, publisher of WIRED.) Turnitin says its detector has a false positive rate of less than 1 percent when analyzing full documents.

ChatGPT’s launch was met with knee-jerk fears that the English class essay would die . The chatbot can synthesize information and distill it near-instantly—but that doesn’t mean it always gets it right. Generative AI has been known to hallucinate , creating its own facts and citing academic references that don’t actually exist. Generative AI chatbots have also been caught spitting out biased text on gender and race . Despite those flaws, students have used chatbots for research, organizing ideas, and as a ghostwriter . Traces of chatbots have even been found in peer-reviewed, published academic writing .

Teachers understandably want to hold students accountable for using generative AI without permission or disclosure. But that requires a reliable way to prove AI was used in a given assignment. Instructors have tried at times to find their own solutions to detecting AI in writing, using messy, untested methods to enforce rules , and distressing students. Further complicating the issue, some teachers are even using generative AI in their grading processes.

Detecting the use of gen AI is tricky. It’s not as easy as flagging plagiarism, because generated text is still original text. Plus, there’s nuance to how students use gen AI; some may ask chatbots to write their papers for them in large chunks or in full, while others may use the tools as an aid or a brainstorm partner.

Students also aren't tempted by only ChatGPT and similar large language models. So-called word spinners are another type of AI software that rewrites text, and may make it less obvious to a teacher that work was plagiarized or generated by AI. Turnitin’s AI detector has also been updated to detect word spinners, says Annie Chechitelli, the company’s chief product officer. It can also flag work that was rewritten by services like spell checker Grammarly, which now has its own generative AI tool . As familiar software increasingly adds generative AI components, what students can and can’t use becomes more muddled.

Detection tools themselves have a risk of bias. English language learners may be more likely to set them off; a 2023 study found a 61.3 percent false positive rate when evaluating Test of English as a Foreign Language (TOEFL) exams with seven different AI detectors. The study did not examine Turnitin’s version. The company says it has trained its detector on writing from English language learners as well as native English speakers. A study published in October found that Turnitin was among the most accurate of 16 AI language detectors in a test that had the tool examine undergraduate papers and AI-generated papers.

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Schools that use Turnitin had access to the AI detection software for a free pilot period, which ended at the start of this year. Chechitelli says a majority of the service’s clients have opted to purchase the AI detection. But the risks of false positives and bias against English learners have led some universities to ditch the tools for now. Montclair State University in New Jersey announced in November that it would pause use of Turnitin’s AI detector. Vanderbilt University and Northwestern University did the same last summer.

“This is hard. I understand why people want a tool,” says Emily Isaacs, executive director of the Office of Faculty Excellence at Montclair State. But Isaacs says the university is concerned about potentially biased results from AI detectors, as well as the fact that the tools can’t provide confirmation the way they can with plagiarism. Plus, Montclair State doesn’t want to put a blanket ban on AI, which will have some place in academia. With time and more trust in the tools, the policies could change. “It’s not a forever decision, it’s a now decision,” Isaacs says.

Chechitelli says the Turnitin tool shouldn’t be the only consideration in passing or failing a student. Instead, it’s a chance for teachers to start conversations with students that touch on all of the nuance in using generative AI. “People don’t really know where that line should be,” she says.

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I’ve found the perfect hack to make your home smell incredible – and a £1.25 buy from Asda is key

• Abigail Wilson , Senior Digital Writer
• Published : 5:12 ET, Apr 11 2024
• Published : Invalid Date,

A CLEANING enthusiast has shared her four-ingredient solution that will make your home smell fabulous.

So if you’ve got guests coming over and have noticed a nasty smell in your home that just won’t shift, fear not, you’ve come to the right place.

Chantel Mila, a cleaning, organising and styling fan, who is from Melbourne, Australia , recently took to social media to share her simple hack that will make your home smell incredible.

And don’t worry, you won’t need to go out and spend a fortune on pricey sprays or ingredients.

In fact, you may already have some of the secrets in your cupboards already.

Even better, one of the key ingredients will cost you just £1.25 from Asda. 

Posting online, Chantel penned: “How to make your home smell incredible.”

We then saw Chantel share a step-by-step process of how to make her very own DIY room spray.

Using a saucepan, she advised people to boil two cups of water on the stove.

She then added one sliced lemon and two sprigs of rosemary.

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As well as this, she then stirred in one tablespoon of vanilla extract - which if you don’t have any, is just £1.25 from Asda. 

Smells so good Chantel Mila

Once everything was added into the saucepan, Chantel advised: “Allow the aroma to fill your home.”

She then explained that you can add the mixture to a spray bottle, which can then be used around your home.

So if you’ve run out of disinfectant spray and need to wipe down your kitchen sides, this is perfect for you. 

The savvy cleaning fan then added: “Place excess mix in a spray bottle and use as a room spray.”

'LOVE THIS IDEA'

The TikTok clip, which was posted under the username @ mama_mila_ , has clearly impressed many, as it has quickly racked up a whopping 531,700 views.

Social media users were stunned by the hack and many took to the comments to express this. 

Such a beautiful idea TikTok user

One person said: “You had me at vanilla.”

To this, Chantel replied: “Smells so good.” 

15 Cleaning Hacks That Will Blow Your Mind

Here are some tips to help you clean your home like a pro:

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• You're cleaning your carpet all wrong - here's how to get it spotless again in no time
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Another added: “Thank you for this tip.” 

A third commented: “Very helpful video!” 

Meanwhile, someone else beamed: “Love this idea.”

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Whilst another TikTok user penned: “Such a beautiful idea.” 

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Gig workers are writing essays for AI to learn from

• Companies are hiring highly educated gig workers to write training content for AI models .
• The shift toward more sophisticated trainers comes as tech giants scramble for new data sources.
• AI could run out of data to learn from by 2026, one research institute has warned. 

As artificial intelligence models run out of data to train themselves on, AI companies are increasingly turning to actual humans to write training content.

For years, companies have used gig workers to help train AI models on simple tasks like photo identification , data annotation, and labelling. But the rapidly advancing technology now requires more advanced people to train it.

Companies such as Scale AI and Surge AI are hiring part-timers with graduate degrees to write essays and creative prompts for the bots to gobble up, The New York Times reported . Scale AI, for example, posted a job last year looking for people with Master's degrees or PhDs, who are fluent in either English, Hindi, or Japanese and have professional writing experience in fields like poetry, journalism, and publishing.

Related stories

Their mission? To help AI bots "become better writers," Scale AI wrote in the posting.

And an army of workers are needed to do this kind of work. Scale AI has as many as tens of thousands of contractors working on its platform at a time, per the Times.

"What really makes the A.I. useful to its users is the human layer of data, and that really needs to be done by smart humans and skilled humans and humans with a particular degree of expertise and a creative bent," Willow Primack, the vice president of data operations at Scale AI, told the New York Times. "We have been focusing on contractors, particularly within North America, as a result."

The shift toward more sophisticated gig trainers comes as tech giants scramble to find new data to train their technology on. That's because the programs learn so incredibly fast that they're already running out of available resources to learn from. The vast trove of online information — everything from scientific papers to news articles to Wikipedia pages — is drying up.

Epoch, an AI research institute, has warned that AI could run out of data by 2026.

So, companies are finding more and more creative ways to make sure their systems never stop learning. Google has considered accessing its customers' data in Google Docs , Sheets, and Slides while Meta even thought about buying publishing house Simon & Schuster to harvest its book collection, Business Insider previously reported.

Watch: Nearly 50,000 tech workers have been laid off — but there's a hack to avoid layoffs

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Now Hiring: Sophisticated (but Part-Time) Chatbot Tutors

The human work of teaching A.I. is getting a lot more complex as the technology improves.

Chelsea Becker, with her two children, started gig work training chatbots after she went on leave after her daughter was born. Credit... Hannah Yoon for The New York Times

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By Yiwen Lu

Reporting from San Francisco

• April 10, 2024

After her second child was born, Chelsea Becker took an unpaid, yearlong leave from her full-time job as a flight attendant. After watching a video on TikTok, she found a side hustle: training artificial intelligence models for a website called Data Annotation Tech.

For a few hours every day, Ms. Becker, 33, who lives in Schwenksville, Pa., would sit at her laptop and interact with an A.I.-powered chatbot. For every hour of work, she was paid $20 to $40. From December to March, she made over $10,000.

The boom in A.I. technology has put a more sophisticated spin on a kind of gig work that doesn’t require leaving the house. The growth of large language models like the technology powering OpenAI’s ChatGPT has fueled the need for trainers like Ms. Becker, fluent English speakers who can produce quality writing.

It is not a secret that A.I. models learn from humans. For years, makers of A.I. systems like Google and OpenAI have relied on low-paid workers, typically contractors employed through other companies, to help computers visually identify subjects. (The New York Times has sued OpenAI and its partner, Microsoft, on claims of copyright infringement.) They might label vehicles and pedestrians for self-driving cars or identify images on photos used to train A.I. systems.

But as A.I. technology has become more sophisticated, so has the job of people who must painstakingly teach it. Yesterday’s photo tagger is today’s essay writer.

There are usually two types of work for these trainers: supervised learning, where the A.I. learns from human-generated writing, and reinforcement learning from human feedback , where the chatbot learns from how humans rate their responses.

Companies that specialize in data curation, including the San Francisco-based start-ups Scale AI and Surge AI, hire contractors and sell their training data to bigger developers. Developers of A.I. models, such as the Toronto-based start-up Cohere, also recruit in-house data annotators.

It is difficult to estimate the total number of these gig workers, researchers said. But Scale AI, which hires contractors through its subsidiaries, Remotasks and Outlier, said it was common to see tens of thousands of people working on the platform at a given time.

But as with other types of gig work, the ease of flexible hours comes with its own challenges. Some workers said they never interacted with administrators behind the recruitment sites, and others had been cut off from the work with no explanation. Researchers have also raised concerns over a lack of standards, since workers typically don’t receive training on what are considered to be appropriate chatbot answers.

To become one of these contractors, workers have to pass an assessment, which includes questions like whether a social media post should be considered hateful, and why. Another one requires a more creative approach, asking contracting prospects to write a fictional short story about a green dancing octopus, set in Sam Bankman-Fried’s FTX offices on Nov. 8, 2022. (That was the day Binance, an FTX competitor , said it would buy Mr. Bankman-Fried’s company before later quickly backing out of the deal.)

Sometimes, companies look for subject matter experts. Scale AI has posted jobs for contract writers who hold master’s or doctoral degrees in Hindi and Japanese. Outlier has job listings that mention requirements like academic degrees in math, chemistry and physics.

“What really makes the A.I. useful to its users is the human layer of data, and that really needs to be done by smart humans and skilled humans and humans with a particular degree of expertise and a creative bent,” said Willow Primack, vice president of data operations at Scale AI. “We have been focusing on contractors, particularly within North America, as a result.”

Alynzia Fenske, a self-published fiction writer, had never interacted with an A.I. chatbot before hearing a lot from fellow writers who considered A.I. a threat. So when she came across a video on TikTok about Data Annotation Tech, part of her motivation was just to learn as much about A.I. as she could and see for herself whether the fears surrounding A.I. were warranted.

“It’s giving me a whole different view of it now that I’ve been working with it,” said Ms. Fenske, 28, who lives in Oakley, Wis. “It is comforting knowing that there are human beings behind it.” Since February, she has been aiming for 15 hours of data annotation work every week so she can support herself while pursuing a writing career.

Ese Agboh, 28, a master’s student studying computer science at the University of Arkansas, was given the task of coding projects, which paid $40 to $45 an hour. She would ask the chatbot to design a motion sensor program that helps gymgoers count their repetitions, and then evaluate the computer codes written by the A.I. In another case, she would load a data set about grocery items to the program and ask the chatbot to design a monthly budget. Sometimes she would even evaluate other annotators’ codes, which experts said are used to ensure data quality.

She made $2,500. But her account was permanently suspended by the platform for violating its code of conduct. She did not receive an explanation, but she suspected that it was because she worked while in Nigeria, since the site wanted workers based in only certain countries.

That is the fundamental challenge of online gig work: It can disappear at any time. With no one available for help, frustrated contractors turned to social media, sharing their experiences on Reddit and TikTok. Jackie Mitchell, 26, gained a large following on TikTok because of her content on side hustles, including data annotation work.

“I get the appeal,” she said, referring to side hustles as an “unfortunate necessity” in this economy and “a hallmark of my generation and the generation above me.”

Public records show that Surge AI owns Data Annotation Tech. Neither the company nor its chief executive, Edwin Chen, responded to requests for comments.

It is common for companies to hire contractors through subsidiaries. They do so to protect the identity of their customers, and it helps them avoid bad press associated with working conditions for its low-paid contract workers, said James Muldoon, a University of Essex management professor whose research focuses on A.I. data work.

A majority of today’s data workers depend on wages from their gig work. Milagros Miceli, a sociologist and computer scientist researching labor conditions in data work, said that while “a lot of people are doing this for fun, because of the gamification that comes with it,” a bulk of the work is still “done by workers who actually really need the money and do this as a main income.”

Researchers are also concerned about the lack of safety standards in data labeling. Workers are sometimes asked to address sensitive issues like whether certain events or acts should be considered genocide or what gender should appear in an A.I.-generated image of a soccer team, but they are not trained on how to make that evaluation.

“It’s fundamentally not a good idea to outsource or crowdsource concerns about safety and ethics,” Professor Muldoon said. “You need to be guided by principles and values, and what your company actually decides as the right thing to do on a particular issue.”

Yiwen Lu reports on technology for The Times. More about Yiwen Lu

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A.I. is peering into restaurant garbage pails  and crunching grocery-store data to try to figure out how to send less uneaten food into dumpsters.

David Autor, an M.I.T. economist and tech skeptic, argues that A.I. is fundamentally different  from past waves of computerization.

Economists doubt that A.I. is already visible in productivity data . Big companies, however, talk often about adopting it to improve efficiency.

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Tradwives, stay-at-home girlfriends and the dream of feminine leisure

Some young women see patriarchy as a solution, not a problem. what in ‘the feminine mystique’ is going on here.

I t’s always inspiring when citizens of the vast and disparate internet find something to unite them, and in late March, the unifying force was hatred for an essay, published in the Cut, called “ The Case for Marrying an Older Man .” It was written by a woman who had done just that: Grazie Sophia Christie spent her undergraduate years at Harvard sneaking into receptions for MBA candidates where she hoped to bag a more established male before her “fiercest advantage” — her youth — disappeared and rendered her common. After some trial and error, at the age of 20, she made off with a 30-year-old whose defining characteristics seemed to be that he was French and rich.

The essay’s alleged offenses ranged from the kind that would irritate Greta Thunberg — the casual way Christie’s byline notes that she lives in “Miami and London” — to the kind that would irritate Gloria Steinem. “I’ll never forget it,” the author writes, “how he showed me around our first place like he was introducing me to myself: This is the wine you’ll drink, where you’ll keep your clothes, we vacation here, this is the other language we’ll speak, you’ll learn it.”

Christie was taking a cosseted, retro archetype — the gold digger — and presenting it as something intellectual and liberated. She hadn’t wanted to marry a fixer-upper, she writes, citing her younger brother who still left his towels on the floor. She wanted a man that some other woman had already fixed up, and who could, in turn, fix her. Not a partner, she writes, but a “mentor.” Specifically, one who could fulfill a promise that feminism had allegedly failed to deliver: “I had grown bored of discussions of fair and unfair, equal or unequal,” writes Christie, “and preferred instead to consider a thing called ease.”

A thing called ease.

That last sentence was the only one in the whole piece that made me stop in my tracks. It was breathtaking in its transparency: I’m not doing this out of principle or based on a worldview. I’m doing this because life seemed hard and this seemed easy.

You could argue, as many did, that if your relationship is predicated on you being young, it might get considerably less easy when you age. But castigating Christie’s essay was actually the least interesting way to engage with it, because, at heart, it was dealing with bigger themes than even she seemed to know what to do with: The elusiveness of female contentment in the modern era. The elusiveness of rest — for everyone — in the modern era. The concept of romantic relationships as the ultimate life hack, and the resigned idea that the only way to move forward is by moving backward.

Perhaps you’ve been seeing the term “tradwife” lately, a modern coinage for a TikTok-fluent married woman who keeps house, extols “traditional” values and yields to her husband. Perhaps you’ve even seen the term “stay-at-home girlfriends,” the influencer community’s true prophets of female ease. Unlike stay-at-home moms, whose days might be filled with school drop-offs and toddler-wrangling, the childless SAHG’s days are filled mostly with home care and self care: elaborate skin, fitness and food routines that keep their bodies beautiful and their lives serene for the boyfriends who are, after all, funding the whole shebang.

In one SAHG video, I watched a platinum blonde explain that her boyfriend agreed to pay for all of their travel if she would do all of the packing. The rest of the video was dedicated to the most meticulous suitcase job you’ve ever seen — sunglasses nestled in shoes, a rainbow of rolled shirts — which appeared to take her the better part of an afternoon.

Another video featured a young woman in a negligee patiently curling her hair while an overlay of text read: “People used to ask me, ‘what’s your dream job?’ I never knew the answer. I realized it’s because I don’t dream of labor. I dream of living a soft, feminine life.” The video was captioned, “I dream of feminine leisure,” which I soon realized was a sort of motto among this set.

“I dream of feminine leisure,” wrote a lovely brunette as she sauntered to the pool in a floaty coverup.

“I dream of feminine leisure,” wrote another lovely brunette as she applied a fresh coat of lip gloss at her vanity.

The comments on these types of videos abound with wistful envy: heart emoji, lipstick kiss emoji, green juice, vacuum.

W hat is feminine leisure, exactly? Is it a set of prescribed activities? An aesthetic? A vibe?

The simple answer is that it’s a solution — maybe not a good solution, but a conceivable one — to a problem. A problem some young women have diagnosed in the landscape of modern adulthood.

A frantic mother of a 16-year-old wrote into Slate’s Care and Feeding advice column a few months ago to say that her formerly go-getter daughter had announced that she wanted to skip the rigors of college and instead focus on maintaining her appearance for a future husband. “She’s now talking about how great the ‘patriarchy’ is,” wrote the alarmed mom, “and how she can’t wait for someone to come and take care of her.”

From Christie to tradwives to SAHGs to the Patriarchy Daughter, the common thread seems to be the concept that liberation is overrated. That women raised on the virtues of female independence have been sold a bill of goods. Yes, we are allowed to have successful careers. But nobody had decreased the amount of laundry or errands that still needed to be run. Nobody had added any more hours onto the clock.

The Wall Street Journal recently detailed a new paper to be published in the journal Social Indicators Research that found that, “regardless of how the question is asked or what measure is used, women say they are more anxious, more depressed, more tired and more pessimistic than men,” the Journal said. At the same time, though, women are also more likely “to say they are happy and satisfied with their lives.”

It’s a phenomenon known as the “female happiness paradox,” and researchers can’t really explain it.

One guess cited in the article is that the measuring stick itself is off: Men, after all, are the ones who die more often by suicide, drug overdoses and alcoholism. So maybe it’s not that they are less anxious and depressed than women, but that, conditioned to be taciturn, they are less likely to report it. Another guess is that the things that stress women out — children, relationship-building, achieving work-life balance — are also the things that give them the most satisfaction.

Regardless of how to interpret the data, the facts of the matter remain that women are either miserable but happy or happy but miserable. And if scientific researchers can’t figure out what to do about this paradox, can 20-year-old women? Why knock yourself over trying? Crash the MBA reception. Curl your hair. Pack the suitcase. Choose ease.

I’ll pause to note that, generally, we see and hear much less from the men in these relationships than from their influencer wives and girlfriends; their voices are missing from this discourse. Maybe it’s because the mutual arrangement is working for them, but they’re afraid of being labeled sexist for admitting it. Maybe they don’t want to hurt their girlfriend’s feelings by explaining that they truly could not care less if their shirts are rolled. Maybe it’s just because they’re at their offices when all the lovely content is being made.

Whatever the case: I can imagine a lot of men would like to have a stay-at-home partner, not because they are misogynists but because it’s a relief when someone else has already done the grocery shopping — and I can imagine a lot of women would feel the same way. I can also imagine that a lot of men would like to saunter toward a pool in the middle of a Tuesday, or spend their days as Christie describes in the Cut: “Mostly I get to read, to walk central London and Miami and think in delicious circles.” So far, TikTok has not spun off an equivalent stay-at-home-boyfriend aesthetic.

The fact of the matter is that almost nobody who works for a living has the time they wish they did to look, feel or be their best, much less to cultivate a highly aesthetic relationship with a thing called ease .

What if the problem is not feminism but capitalism — specifically the American version, where work-life balance is a punchline? What if instead of 11 paid vacation days , as the average American gets, these women got the full month that is standard in the United Kingdom? What if instead of five (or six or seven) days a week, they worked the four days that countries such as South Africa and Belgium are piloting? Would that allow enough time to do a full skin-care regimen and pack a great suitcase? If college weren’t so ghastly expensive here, maybe that one lady’s daughter wouldn’t be so keen on the patriarchy as a route to leisure that bypasses the long, uphill road to financial independence.

It wasn’t fair when women had no choice to stay home. It’s not fair if women are working but are still doing the work of maintaining a home. It’s not fair if both men and women are trying to juggle it together and are still finding that there aren’t enough hours or dollars in a day.

Who wouldn’t dream of feminine leisure?

A few months ago, I decided to reread Ottessa Moshfegh’s brilliant novel “My Year of Rest and Relaxation.” It’s about a young woman struggling so much with her grown-up life that she embarks on a plan to sleep through an entire year via a steady influx of prescription narcotics. The ending is ambiguous — but, the way I read it, happy: By the end of the experiment, she has finally rested enough to rejoin the world, which she does with a rejuvenated and more optimistic perspective than she had before.

I mentioned this to a friend, who looked at me funny.

“Oh,” my friend said. “I thought she died.”

W hile writing this, I learned that a colleague and I were both obsessed with an influencer with a tradwife aesthetic who made elaborate pastries while wearing a placid, unchanging expression that made her look like a high-functioning lobotomy patient. In 2024, was this satire, or serious?

The same co-worker had been served the SAHG skinfluencer videos that also populated my social media feeds. Could you imagine, we asked one another, spending 30 minutes a day washing your face?

Then I went home and started thinking about the most satisfying day I’d had in recent months: A bundle of accrued comp time had allowed me to take a paid day off work on a random Wednesday. I went to yoga, bought a fancy sandwich, booked summer travel, researched preschools and made a dinner that was, for once, assembled patiently and attractively and not after desperately Googling “15-minute dinner can of beans and one potato?”

There was a good amount of leisure in there — even a good amount of feminine leisure.

But here’s the thing: The day hadn’t felt satisfying because I had achieved harmony with my feminine destiny; it felt satisfying because I, like most other adult humans of any gender, have a long list of necessary tasks, and almost never enough time to get through them. American culture is not conducive to helping to-do lists get shorter. Workweeks are long, vacation is limited, preschools are not universal and must therefore be researched.

And dreams? Dreams are dreams.

I wondered about the women who seemed to be seeking a relationship solution to the societal and existential problem of unrest. Did they really want to have no control over their own finances? To have to ask for an allowance? How would they feel about themselves and the choices they had made in five, 10, 20 years? When their skin was going to get wrinkles no matter how well they had cared for it. When they had run out of ways to film their get-ready-with-me mornings.

Cosmopolitan ran a story last month about some women who had once identified as stay-at-home girlfriends but who don’t anymore. “If he is paying for your whole life and you don’t have any income at all, there will start to be resentment,” influencer Bella Greenlee was quoted as saying, later adding: “I would clean the house more than I had to, just to keep myself entertained. I didn’t really have a lot to do, so I was kind of going crazy.”

The solution to this messy moment in the history of gender and work is not to dream backward, to the way the middle class used to do it — women as pretty property and men as forced breadwinners — and decide that if today isn’t working, yesterday must have been. The solution is to wonder what we might do about tomorrow.

A few days after the “Case for Marrying an Older Man” essay came out, the New Yorker published an article that received much less vitriol and attention. It was a story about a woman named Alena Kate Pettitt , who had gained fame four years ago as one of the original tradwife influencers. Since childhood, she’d prized the idea of a well-kept home and well-set table, and, after marrying and getting pregnant, she quit her job to make such a life a reality. She ironed. She sewed. She took pictures of herself making banana bread and getting dolled up in 1950s-style clothes, and she posted them to Instagram.

Then, gradually and for a lot of reasons, she got tired of being an influencer. She didn’t like how her lifestyle, which she’d pursued out of genuine interest, had slowly become symbolic and politicized. She noted how her content had become an ouroboros: If she tried to post pictures of herself being domestic in jeans and a T-shirt, the reaction was “muted,” according to the New Yorker, while the dolled-up photos of retro housedresses went “through the roof,” she said. So she wore more dresses, and got more followers, and wore more dresses, and what she was doing started to seem progressively more like a myth than real life.

It was lacking, shall we say, ease. Even wrapping herself in a retro bubble hadn’t protected her from having to make difficult choices, engage in self-introspection, work hard, live life. Being a public-facing tradwife turned out to be just as false of a promise as having it all.

Last year, Pettitt made the radical decision to leave Instagram. Her son was about to start high school, and her family was planning a transcontinental move. It seemed like a good time to consider all of her life choices, she said. She’d always wanted to own a coffee shop. She thought she might go back to work.

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