{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Understanding the source of what we see and hear online","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/a399fec5-af7f-4383-b7af-5765c274f97b","json_url":"https://onlylabs.fyi/signals/a399fec5-af7f-4383-b7af-5765c274f97b/signal.json","generated_at":"2026-06-08T15:46:05.529+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/a399fec5-af7f-4383-b7af-5765c274f97b","signal_json":"https://onlylabs.fyi/signals/a399fec5-af7f-4383-b7af-5765c274f97b/signal.json","source":"https://openai.com/index/understanding-the-source-of-what-we-see-and-hear-online","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":null},"answer_pack":{"answer":"OpenAI published Understanding the source of what we see and hear online. 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Loading… Share Update on August 4, 2024 Sharing a few updates on our ongoing content provenance work since we published this blog post in May: Researching text solutions A few updates on some of the approaches we’re currently researching and considering: Text watermarking - Our teams have developed a text watermarking method that we continue to consider as we research alternatives. - While it has been highly accurate and even effective against localized tampering, such as paraphrasing, it is less robust against globalized tampering; like using translation systems, rewording with another generative model, or asking the model to insert a special character in between every word and then deleting that character - making it trivial to circumvention by bad actors. - Another important risk we are weighing is that our research suggests the text watermarking method has the potential to..."},"evidence_pages":[{"url":"https://openai.com/index/understanding-the-source-of-what-we-see-and-hear-online","final_url":"https://openai.com/index/understanding-the-source-of-what-we-see-and-hear-online","title":"Understanding the source of what we see and hear online","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:46:05.529+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Understanding the source of what we see and hear online | OpenAI May 7, 2024 Understanding the source of what we see and hear online We’re introducing new tools to help researchers study content authenticity and are joining the Coalition for Content Provenance and Authenticity Steering Committee. 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