NeurIPS Poster Stop DDoS Attacking the Research Community with AI-Generated Survey Papers

The Day I Logged 1 In Every 2000 Public IPv4: Visualizing The AI Scraper DDoS - VulpineCitrus

In an attempt to grasp the magnitude of web scraper attacks against my websites, i went the way of visualizing.

AI-generated ‘slop’ is slowly killing the internet, so why is nobody trying to stop it? | Arwa Mahdawi

Low-quality ‘slop’ generated by AI is crowding out genuine humans across the internet, but instead of regulating it, platforms such as Facebook are positively encouraging it. Where does this end, asks Arwa Mahdawi

How OpenAI's bot crushed this seven-person company's website ‘like a DDoS attack’ | TechCrunch

OpenAI was sending “tens of thousands” of server requests trying to download Triplegangers' entire site which hosts hundreds of thousands of photos.

Survey Shield

Survey Shield - AI-powered survey bot-detection analysis

Stop Clicking on Junk: How to Identify and Ignore AI-Generated Slop Today

The internet is slowly being flooded by AI slop. What is it and how can you avoid it?

Ultimate Block List to Stop AI Bots | Perishable Press

More than you might think, AI (Artificial Intelligence) and ML (Machine Learning) bots are crawling your site and scraping your content. They are...

Study Finds A Third of New Websites are AI-Generated

Researchers found the internet is becoming aggressively positive as AI-generated text floods the web.

AI Scraping Bots Are Breaking Open Libraries, Archives, and Museums

"This is a moment where that community feels collectively under threat and isn't sure what the process is for solving the problem.”

Abundance vs. Scarcity: Who Controls the Internet After AI?

AI is straining the open web, forcing a choice between abundance with redistribution and scarcity built on paywalls, writes Paul Keller.

Disrupting Dark Networks

Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.

Can AI slop help us save the internet?

Disrupting the status quo and opening space for new visions

The Day Anubis Saved Our Websites From a DDoS Attack

Anubis, designed to protect your website from unwanted requests from AI crawlers, is way more powerful than you might think.

AI slop is drowning communities. Verifiable track records can fix it.

AI-generated junk content is flooding every community platform. Traditional moderation can't keep up. Portable, cross-platform contribution history is a structural fix that addresses the root cause.

The AI Slop Backlash Is Actually Having an Impact

Platforms are finally recognizing that people don’t want to consume AI slop. A growing number of sites and apps now have tools and policies to flag, label, and ban AI-generated content.

AI-driven Bot Attacks Surged 12.5x According to Thales Bad Bot Report

Bots now dominate the internet, accounting for over half of all traffic, with 40% classified as malicious.AI is erasing the line between legitimate and maliciou