Coronavirus disease 2019

COVID-19 is a contagious disease caused by the coronavirus SARS-CoV-2. In January 2020, the disease spread worldwide, resulting in the COVID-19 pandemic.

The symptoms of COVID‑19 can vary but often include fever,[7] fatigue, cough, breathing difficulties, loss of smell, and loss of taste.[8][9][10] Symptoms may begin one to fourteen days after exposure to the virus. At least a third of people who are infected do not develop noticeable symptoms.[11][12] Of those who develop symptoms noticeable enough to be classified as patients, most (81%) develop mild to moderate symptoms (up to mild pneumonia), while 14% develop severe symptoms (dyspnea, hypoxia, or more than 50% lung involvement on imaging), and 5% develop critical symptoms (respiratory failure, shock, or multiorgan dysfunction).[13] Older people have a higher risk of developing severe symptoms. Some complications result in death. Some people continue to experience a range of effects (long COVID) for months or years after infection, and damage to organs has been observed.[14] Multi-year studies on the long-term effects are ongoing.[15]

COVID‑19 transmission occurs when infectious particles are breathed in or come into contact with the eyes, nose, or mouth. The risk is highest when people are in close proximity, but small airborne particles containing the virus can remain suspended in the air and travel over longer distances, particularly indoors. Transmission can also occur when people touch their eyes, nose, or mouth after touching surfaces or objects that have been contaminated by the virus. People remain contagious for up to 20 days and can spread the virus even if they do not develop symptoms.[16]

Testing methods for COVID-19 to detect the virus’s nucleic acid include real-time reverse transcription polymerase chain reaction (RT‑PCR),[17][18] transcription-mediated amplification,[17][18][19] and reverse transcription loop-mediated isothermal amplification (RT‑LAMP)[17][18] from a nasopharyngeal swab.[20]

Several COVID-19 vaccines have been approved and distributed in various countries, many of which have initiated mass vaccination campaigns. Other preventive measures include physical or social distancing, quarantining, ventilation of indoor spaces, use of face masks or coverings in public, covering coughs and sneezes, hand washing, and keeping unwashed hands away from the face. While drugs have been developed to inhibit the virus, the primary treatment is still symptomatic, managing the disease through supportive care, isolation, and experimental measures.

The Dead Internet Theory: Is Most of the Web Already Fake?

The internet has transformed dramatically over the last two decades. What was once a place where millions of
people shared personal blogs, unique websites, and genuine conversations has evolved into an ecosystem dominated
by algorithms, artificial intelligence, and automated content. This shift has given rise to one of the internet’s
most fascinating conspiracy theories: The Dead Internet Theory.

According to supporters of the theory, a large portion of today’s online activity is no longer created by real
people. Instead, bots, AI systems, automated marketing tools, and synthetic media are allegedly responsible for
much of what users see every day. While many experts reject the more extreme claims, the theory continues to gain
attention across Reddit, YouTube, and social media because it raises important questions about authenticity in
the digital age.

What Is the Dead Internet Theory?

The Dead Internet Theory suggests that the internet effectively «died» sometime in the late 2010s. Rather than
being powered primarily by human interaction, the modern web is believed to be increasingly populated by
automated systems generating articles, comments, images, videos, and even social media discussions.

While the theory is often presented as a conspiracy, its central idea reflects a growing concern: it is becoming
harder to distinguish genuine human content from material created by machines.

Why Has the Theory Become So Popular?

Several technological trends have made the theory feel more believable to many internet users.

  • AI can now write convincing articles within seconds.
  • Image generators create realistic photos of people who do not exist.
  • Social media platforms are filled with automated accounts.
  • Recommendation algorithms often amplify repetitive or low-quality content.
  • Spam websites publish thousands of AI-generated pages every day.

Together, these developments create the impression that authentic human voices are becoming increasingly difficult
to find online.

The Role of Artificial Intelligence

Modern AI tools have dramatically changed content creation. Businesses use AI to generate marketing copy,
customer support responses, product descriptions, and even news summaries. Individual creators rely on AI to
brainstorm ideas, edit videos, design graphics, and translate content into multiple languages.

While these technologies improve productivity, they also contribute to an internet where machine-generated
material appears alongside human-created work with little obvious distinction.

Are Bots Really Everywhere?

Automated accounts have existed almost as long as social media itself. Some bots provide useful services, such as
posting weather updates or monitoring software issues. Others are designed to spread spam, manipulate public
opinion, inflate engagement metrics, or promote products.

Studies have repeatedly shown that a noticeable percentage of activity on major platforms comes from automated
accounts. Although this does not mean that most users are fake, it does contribute to the perception that online
conversations are becoming less authentic.

How Algorithms Shape Our Reality

Even when content is created by real people, algorithms determine what most users actually see. Social media
feeds prioritize engagement, often promoting controversial, emotional, or highly shareable posts over quieter,
more thoughtful discussions.

This creates an environment where users repeatedly encounter similar opinions, viral trends, and recycled
content, reinforcing the feeling that the internet has become artificial or repetitive.

Evidence Supporting the Theory

Although there is no proof that the internet is mostly fake, several observable trends give the theory some
credibility.

  • Rapid growth of AI-generated websites.
  • Increasing numbers of automated social media accounts.
  • Mass-produced articles designed solely for search engine rankings.
  • Deepfake videos becoming easier to create.
  • Fake reviews and synthetic customer testimonials.

These developments demonstrate that automation now plays a significant role in shaping the online experience.

Arguments Against the Theory

Critics argue that the Dead Internet Theory exaggerates real technological trends. Billions of people continue to
communicate online every day through messaging apps, forums, video calls, gaming communities, and social media.
Human creativity remains visible across countless independent creators, artists, educators, and developers.

Rather than replacing humans entirely, AI is more accurately viewed as a tool that assists people in creating
content faster and more efficiently.

How to Spot Authentic Content

As AI-generated material becomes more common, digital literacy is increasingly important. Users can reduce the
risk of being misled by following a few simple practices.

  1. Verify information using multiple trusted sources.
  2. Check the author’s identity and reputation.
  3. Look for original research and personal experience.
  4. Be cautious of sensational headlines designed only to generate clicks.
  5. Question images or videos that appear unusually perfect or unrealistic.

What Does the Future Hold?

Artificial intelligence will almost certainly continue expanding its presence across the internet. More articles,
videos, illustrations, and software will be created with the help of AI systems. The challenge will not be
preventing automation but ensuring transparency about how content is produced.

Governments, technology companies, and researchers are already exploring methods for watermarking AI-generated
media, improving content verification, and helping users identify authentic sources of information.

Final Thoughts

The Dead Internet Theory remains a fascinating blend of conspiracy, observation, and legitimate concern. While
there is little evidence that the internet is mostly populated by bots, there is no doubt that automation and
artificial intelligence are changing how online content is created and consumed.

Whether the theory is ultimately proven right or wrong, it highlights an important reality: authenticity is
becoming one of the most valuable resources on the modern internet. As AI-generated content continues to grow,
the ability to recognize trustworthy information and genuine human creativity will become more important than
ever before.

Создание раздела с вопросами и ответами

Целый пласт знаний заключён в ответах на вопросы, которые задавали и задают подписчики на почту, в чатах, в личные сообщения в соцсетях. Для возрождения этих ответов мы создали на Deworker отдельную рубрику. Сегодня расскажу о том, как принимали решение по созданию этой рубрики с публикациями вопросов.

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Две новых серии скринкастов

За два месяца с моей последней публикации подготовлен следующий материал. Во-первых, написана статья про ремонт офиса-студии. Ремонты люблю, делали сами, семью сохранили :). С тех пор прошло два года, мы оценили удобство офиса, теперь можно и другим показать результат.

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Начало года и подведение итогов

Моя привычка победила. Всё-таки рабочий год удобнее начинать вместе с учебным, а не с календарным. Поэтому приглашаю проводить со мною лето и послушать рассказ про новый сезон.

Два года подряд на Деворкер мы выпускали планы о будущем развитии. В этом году на официальном канале выпуск задерживается. Поэтому пока поговорим о моём и немного Димином вкладе в проект здесь.

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Обновление эпизодов по Геолокатору

На днях перезалила всю серию эпизодов по написанию Геолокатора. Записывались они одними из первых, в те времена, когда мы много экспериментировали над звуком.

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Как колдуем над Базой Знаний

Продолжаем исполнять августовские планы. И после того, как записала серию эпизодов по созданию ТЗ, вернулась к обработке скринкастов в Базе Знаний.

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О книге Тодда Заки Варфела «Прототипирование. Практическое руководство».

Заманчивое название у книги, особенно когда дела с прототипом не ладятся. Меня не смущало то, что книга была переведена аж в 2013 году, и скриншоты программ потеряли актуальность. Кое в чём книга всё-таки помогла.

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Новости последних трёх месяцев

Началось всё с сайта ElisDN. Дима поделился своими мыслями о том, как он видит интеграцию этого проекта с проектом Deworker, и о том, что эта отличная идея никак не вписывается в старый дизайн. В одном из прошлых постов я начала с анализа информации на этом сайте, а через пару-тройку недель закончила полным дизайном главной страницы и нескольких внутренних.

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