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Technology

Meta Changes Business Terms to Allow Web Scraping of Associated Websites

Meta's revised commercial terms have sparked concerns about data scraping and AI training among news publishers and companies that use its Business Suite account dashboard.

Have a Meta business account? You’re consenting to AI scraping now, legal experts say
Source: ZDNet

Meta's revised commercial terms have sparked concerns about data scraping and AI training among news publishers and companies that use its Business Suite account dashboard. According to reports, Meta can now crawl websites associated with its business accounts, including news outlets, using automated software like web scrapers.

This change affects companies that manage their social media presence through Meta's Business Suite, which includes tools for managing Instagram profiles, Facebook pages, Messenger, and WhatsApp channels. Many organizations, including this publication, rely on Meta Business Suite to schedule posts across multiple platforms.

Legal experts consulted by a leading journalism organization claim that the revised terms give Meta permission to scrape websites associated with its business accounts and use the collected data to train its AI products. This move has raised eyebrows among publishers who may not be aware of the implications or have had no say in the matter.

The changes are set to take effect on October 30, at which point Meta will no longer offer an opt-out option for affected businesses. This means that news outlets and other organizations with a Meta business account will either need to agree to the web scraping or risk being removed from the platform.

Meta's new terms of service allow it to use automated software to access and analyze websites associated with its business accounts, including content available through them. The company can also create test credentials to crawl domains, web pages, or URLs linked to its products or services.

The revised commercial terms specify that Meta may collect and use any content from the crawled websites to improve, research, train, and maintain its AI-powered features. This has sparked concerns among publishers about data scraping and potential implications for their online presence and business operations.

Meta's recent changes to its web-scraping language have raised eyebrows among publishers and experts who suspect the tech giant is sidestepping licensing deals for journalistic content.

Publishers rely on high-quality data for AI model training, and journalistic content fits the bill due to its rigorous fact-checking and editing processes. In contrast, personal blogs or open internet text may not meet these standards.

The tension between publishers and AI companies has been building, with news sites launching copyright lawsuits against AI firms that use their content without permission. Some AI labs have attempted to address this issue by forging licensing agreements with publications.

Meta's move is seen as a way to avoid entering into these licensing deals, which could impact the online presence and business operations of publishers. The tech giant's new language may be designed to circumvent these requirements.

By consolidating its commercial and self-serve ad terms, Meta claims it is simply making it easier for businesses to understand its advertising rules. However, content owners can still use robots.txt flags to indicate their preferences, according to the company's developer documentation.

The company's stance on content scraping has significant implications for businesses and individuals with a Meta account. According to legal experts, having a Meta business account implies consent to artificial intelligence (AI) scraping of content, even if it's not explicitly stated.

This means that users who create or manage Meta business accounts may inadvertently be giving permission for their content to be scraped by AI algorithms. However, content owners can still use robots.txt flags to indicate their preferences, according to the company's developer documentation.

Facts based on reporting originally published by ZDNet.

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