2 days ago · We will continue to evolve our approach to labeling AI-generated content in partnership with experts, advertisers, policy stakeholders and industry partners as people’s expectations and the technology change. By building and refining our transparency around how AI impacts the ads users see, we aim to build trust and increase our accountability.

Jan 27, 2025 · This reflects a 4.3x increase in monthly AI Facebook content since the launch of ChatGPT. In comparison, the monthly average was 5.34% from 2018 to 2022. ... Another common technique for string comparison is n-gram analysis, where the strings are divided into overlapping sequences of characters (n-grams) and the frequency of each n-gram is ...

Jan 27, 2025 · Delivering great content recommendations is an important part of what makes Facebook and Instagram valuable for people around the globe – and it’s been driven by AI for a while. Now, we’re extending this level of personalization to Meta AI so that your assistant can respond with information that’s relevant for you.

Nov 21, 2024 · Thematic text-mining-based analysis with the AI software Leximancer was performed to better understand key themes relevant to consumer research on Facebook, emergent within the extant literature.

Jun 29, 2023 · Today, we are releasing 22 system cards for Facebook and Instagram. They give information about how our AI systems rank content, some of the predictions each system makes to determine what content might be most relevant to you, as well as the controls you can use to help customize your experience.

Jun 29, 2023 · As Mark Zuckerberg noted on Meta’s most recent earnings call, more than 20 percent of content in a person’s Facebook and Instagram feeds is now recommended by AI from people, groups, or accounts they don’t follow.

Nov 14, 2023 · Rather than programming Facebook’s computers to rank content according to simple math, engineers would program them to analyze user behavior and design their own ranking formulas.

Jun 29, 2023 · Meta’s so-called “system cards” cover how the company determines which accounts to present to users as recommended follows on Facebook and Instagram, how the company’s search tools function and...

Jun 29, 2023 · Meta has published a deep dive into the company’s social media algorithms in a bid to demystify how content is recommended for Instagram and Facebook users.

Artificial intelligence (AI) technology is central to our content review process. AI can detect and remove content that goes against our Community Standards before anyone reports it. Other times, our technology sends content to human review teams to …