{"database": "press", "table": "releases", "rows": [["https://www.lujan.senate.gov/newsroom/press-releases/lujan-heinrich-rosen-press-meta-on-dramatic-rise-in-antisemitism-on-their-social-media-platforms-and-artificial-intelligence-models/", "Luj\u00e1n, Heinrich, Rosen Press Meta on Dramatic Rise in Antisemitism on Their Social Media Platforms and Artificial Intelligence Models", "2025-12-16", "2025", "2025-12", "Democrat", "Senate", "NM", "Ben Ray Luj\u00e1n", "L000570", "www.lujan.senate.gov", "lujan", "https://www.lujan.senate.gov/newsroom/press-releases/?jsf=jet-engine:press-list", "scraper", "Washington, D.C. \u2013 Today, U.S. Senators Ben Ray Luj\u00e1n (D-N.M.), Martin Heinrich (D-N.M.), and Jacky Rosen (D-NV) pressed Meta CEO Mark Zuckerberg on Meta\u2019s failure to address antisemitic content on its platforms and potentially promote antisemitism through its artificial intelligence models. Specifically, the senators highlight how a rise in antisemitic content can be linked to the recent changes in community standards and content moderation practices, which were announced by Meta in January. Additionally in the letter, the senators press Meta to disclose its policies and procedures to address antisemitism on their platforms and combat hate speech.\n\n\u201cIn recent months, there has been a nearly fivefold increase in antisemitic behavior on Meta\u2019s platforms. The rise in antisemitic content has been linked to the recent changes in community standards and content moderation practices, which were announced by Meta in January,\u201d wrote the senators.\n\n\u201cWe are deeply concerned about the increase of hate speech and antisemitic content on Meta\u2019s platforms. Platforming antisemitic speech normalizes it and breeds further hateful speech. Additionally, online hateful conduct can and often leads to real-world violence,\u201d continued the senators.\n\n\u201cMeta has an outsized role in its ability to combat antisemitism and we encourage Meta to consider how its policies and practices can be a force to unite communities and foster understanding rather than promote hate speech,\u201d concluded the senators.\n\nThe full text of the letter is available here and below.\n\nDear Mr. Zuckerberg,\n\nWe write regarding the drastic rise of antisemitic content on Meta\u2019s platforms and its artificial intelligence models. Before Congress, representatives of Meta, including yourself, have asserted Meta\u2019s responsibility in ensuring its platforms are not used to \u201churt others.\u201d During a joint session of the Senate Commerce and Judiciary committees, you stated \u201cIt\u2019s not enough to just give people a voice, we have to make sure people aren\u2019t using it to hurt people.\u201d When Neil Potts, Meta\u2019s current Vice President of Content Policy, testified to Congress in 2022 on antisemitism, he said: \u201cWe also recognize that bad actors may seek to use our platform in unacceptable ways, and we take our responsibility to stop them seriously as we give people a voice. We want to ensure that they are not using that voice to hurt others.\u201d\n\nIn recent months, there has been a nearly fivefold increase in antisemitic behavior on Meta\u2019s platforms. The rise in antisemitic content has been linked to the recent changes in community standards and content moderation practices, which were announced by Meta in January. This change in policies stands in conflict with the assurances you and others representing Meta made to Congress: that it was Meta\u2019s responsibility to ensure its platforms are not weaponized.\n\nWe are deeply concerned about the increase of hate speech and antisemitic content on Meta\u2019s platforms. Platforming antisemitic speech normalizes it and breeds further hateful speech. Additionally, online hateful conduct can and often leads to real-world violence. Finally, allowing antisemitic content remaining on Meta\u2019s platforms while using that same content to train Meta\u2019s AI models could lead to Meta\u2019s AI models reproducing antisemitic hate speech and promoting antisemitic conspiracy theories.\n\nWith these issues in mind, we request written responses to the following questions by January 7, 2025:\n\nAs part of the policy changes announced by Meta in January, it is no longer automatically removing \u201cless severe\u201d violative content. According to a study of Meta\u2019s transparency reports, last year there were 277 million posts correctly taken down that, under Meta\u2019s new policies, would be left up6.\n\nHow does Meta plan to handle the influx of reports of violative content, assuming this number stays static?\n\nHas Meta hired additional reviewers to respond to the expected increases in reports?\n\nAre any additional mechanisms being enacted to respond to reports of violative content?\n\nWhat percent of posts that would have been removed under Meta\u2019s previous policies and are now being left up specifically target the Jewish community?\n\nWhat actions has Meta taken or does Meta plan to take to improve the timely takedown of reported violative content?\n\nPlease describe Meta\u2019s current review process, expected response time, and actions Meta takes once content has been reviewed.\n\nIn a letter to Senators Luj\u00e1n, Shaheen, Warren, Wyden, and Merkley in November 2024, Meta stated, \u201cour automated systems flag and remove content that violates our policies. AI has improved to the point that it can detect violations across a wide variety of areas, often with greater accuracy than reports from users.\u201d Our staff has found examples of clear slurs on Meta\u2019s platforms that could be easily detected by keyword search and would not require an AI reasoning model in order to be identified and removed.\n\nPlease detail the reasons why Meta has stopped auto-removing clearly violative antisemitic content, despite Meta\u2019s assertion that AI can now detect violations with greater accuracy than reports from users.\n\nStaff have found many examples of blatant antisemitism on Meta\u2019s platforms (see Appendix) that were reported and reviewed twice. In each case, the review resulted in claiming that the content \u201cdoesn\u2019t go against [Meta\u2019s] community standards.\u201d\n\nPlease confirm that the changes to Meta\u2019s content moderation policies announced in January did not include a policy change toward antisemitic content and what content violates its community standards.\n\nDoes using antisemitic slurs violate Meta\u2019s community standards?\n\nDoes using antisemitic slurs only violate Meta\u2019s community standards when it includes language to incite violence?\n\nDo antisemitic slurs only violate Meta\u2019s community standards when that content is visible to enough people? How many users does an antisemitic slur have to be visible to before Meta determines it violates community standards?\n\nOne study found that one week after reporting anti-Jewish hate to Group admins, 76% of content and 90% of accounts promoting anti-Jewish hate had not been removed or hidden.\n\nDoes Meta take any steps to take down content, remove Admins, or limit posting in groups where violative antisemitic content is repeatedly posted?\n\nDoes Meta take any steps in its content moderation practices to address the unique danger of the proliferation of violent and harmful content, especially anti-Jewish content, within Facebook Groups?\n\nWith Meta\u2019s policy change to prioritize reviewing and taking down the most visible and most harmful content on its platforms, is Meta taking any steps to address the potential for harmful, violative content to proliferate on less visible parts of Meta\u2019s platforms, like private groups?\n\nIs Meta taking any action to prohibit participation in Meta\u2019s creator funds, or remove and suspend profiles of individuals or pages that repeatedly post antisemitic content that violates Meta\u2019s community guidelines?\n\nDoes Meta train its AI models on content posted on its platforms?\n\nDoes that include private content?\n\nDoes that include content posted in private groups?\n\nDoes that include content posted in public groups?\n\nWhat steps will Meta take to ensure antisemitic content that violates community standards is not included in training sets for its AI models?\n\nA recent study of antisemitic content in AI models found that Meta\u2019s Llama model is the most anti-Jewish of the major models tested7. Given the rapid rise of antisemitic content on Meta platforms, we are concerned Meta\u2019s models will become drastically more antisemitic.\n\nDoes Meta remove content or clean data sets from posted content before using them to train their AI models?\n\nWhat specific steps is Meta taking to reduce antisemitism in its AI models?\n\nWhat metrics does Meta use internally to track antisemitic content in its AI models? Please share these metrics with us.\n\nWhat percent improvement of these metrics will you commit to over the next 6 months?\n\nWe remain deeply concerned with Meta\u2019s failure to address antisemitic content on its platforms and potentially promote antisemitism through its AI models. Meta has an outsized role in its ability to combat antisemitism and we encourage Meta to consider how its policies and practices can be a force to unite communities and foster understanding rather than promote hate speech.\n\nSincerely,\n\n###", 1, "2026-03-30T01:40:41Z", "2026-04-06T20:09:11Z"]], "columns": ["url", "title", "date", "year", "month", "party", "chamber", "state", "member_name", "bioguide_id", "domain", "scraper", "source", "date_source", "text", "has_text", "collected_at", "updated_at"], "primary_keys": ["url"], "primary_key_values": ["https://www.lujan.senate.gov/newsroom/press-releases/lujan-heinrich-rosen-press-meta-on-dramatic-rise-in-antisemitism-on-their-social-media-platforms-and-artificial-intelligence-models/"], "units": {}, "query_ms": 2.0292080007493496, "source": "dwillis/congress-press", "source_url": "https://github.com/dwillis/congress-press", "license": "MIT", "license_url": "https://github.com/dwillis/congress-press/blob/main/LICENSE"}