Query
Find articles
Pick a keyword, optionally a second one to combine it with (and, or, either but not both, or but not), then narrow the articles down by text, source and time range. Keywords update the results right away; filters apply with their button.
Query
How they overlap
Of the articles on each keyword in the last 7 days, with the same text and sources, how many also mention the other. Per lean: the share of its outlets' articles on artificial intelligence that mention social media.
1.3% of the 448 articles on artificial intelligence also mention social media, as do 10.7% of the 56 articles on social media.
- Left-leaning3 of 179 articles
- 1.7%
- Least biased1 of 130 articles
- 0.8%
- Right-leaning2 of 139 articles
- 1.4%
Who picked it up when
It was already in the news on Oct 21, when this period starts, so who reported it first is not shown.
One row per source with a matching article, from the most left-leaning on top: a dot for each article, on a bar for each stretch of its coverage (a pause of more than 24 hours starts a new one). Hover or tap a dot for the headline, click it to read the article.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
Results
6 articles mention artificial intelligence and social media in the last 7 days (Oct 21 to Oct 27).
| Article | |||
|---|---|---|---|
| Axios | Meta's $42B in penalties is a warning to AIAxios A tidal wave of litigation is catching up to Meta, leading to $42 billion in recent penalties and settlements , a powerful reminder to AI companies that they could face a court reckoning even when regulation lags. Why it matters : AI companies are racing to build better models and autonomous agents, but they don't enjoy the same legal protections that shielded web platforms for decades. The scale of the penalties Meta is facing offers a preview of potential legal exposure . The big picture : For years, Facebook's parent company navigated a seemingly endless string of scandals — weathering allegations of election interference, privacy lapses and platform harms — and was largely protected from severe litigation penalties due to Section 230. The provision — from a historic 1996 law passed as the internet was just beginning to change modern life — protects tech platforms from being sued over content created by their users. Legal experts say that law doesn't apply to AI. Models create their own content, so companies could face traditional product liability and negligence claims. Catch up quick : The two massive rulings highlight how legal risk for tech giants can extend by a decade, or proceed much faster. Meta was just hit with a $25 billion penalty over the Cambridge Analytica scandal after a jury found the company misled users about Facebook's privacy practices. Many details about that event surfaced nearly 10 years ago. The company said it believes it will win an appeal, and legal experts have said the penalty will likely be reduced. In August, the company agreed to a $17 billion settlement with states related to the impact of Meta products such as Instagram on teen mental health. State of play : A key cog in the Trump administration's regulatory efforts is the threat of litigation. Liability is sure to feature prominently in the risks AI giants such as Anthropic and OpenAI spell out to shareholders as they prepare for massive public listings. Anthropic's IPO is expected before Thanksgiving. The companies face an array of legal threats, including harms caused directly by their models, the potential damage from bad actors who use them and copyright matters that remain far from settled. The potential to be hauled into court isn't limited to AI companies; it could also extend to firms that use AI. Yes, but : Big legal penalties take years to arrive, meaning a product can take off and revolutionize the world long before a court determines whether safeguards are adequate. As recent cases have shown, the AI paper trail is extensive, and records of internal warnings, testing and product decisions will shape the findings by judges and juries. Warnings about catastrophe from AI executives will also be ready at hand, and variations on "I told you so" aren't likely to indemnify CEOs. The bottom line : Meta's recent penalty offers a warning to AI companies: legal exposure can build slowly, then become enormous. | 0.55 | |
| Breitbart | Tech Explainer: What You Need to Know About the PHP Flaw Threatening the InternetBreitbart A pair of critical PHP security flaws discovered by researchers with the help of AI forced an emergency patch and set off scattered attacks across the web. PHP is a programming language used to build up to 70 percent of the websites online today. The post Tech Explainer: What You Need to Know About the PHP Flaw Threatening the Internet appeared first on Breitbart . | 0.35 | |
| The New York Times | A.I. and Its Dangers Are Embedded In the Midterm ElectionsThe New York Times The midterms are the first elections in which artificial intelligence is integrated into every major social media platform. Efforts to blunt its harms are uneven. | 0.55 | |
| The Daily Wire | EXCLUSIVE: How America’s Enemies Turn Female Empathy Into A Social Media WeaponThe Daily Wire America’s enemies are turning female empathy into a weapon on social media, using AI-generated content and bot armies to manipulate women and girls, conservative think tank Independent Women warned Thursday. In a lengthy report that cites research collected in the National Library of Medicine, Independent Women found that, on average, women score higher on measures ... | 0.55 | |
| Forbes | In Defense Of Netflix: Trust Is The New Streaming MoatForbes As AI gets better at making content and worse at helping us decide what deserves our attention, Netflix may be selling something more valuable than entertainment. | 0.25 | |
| The New York Times | A.I. Election Videos Are Flooding Brazil. Could They Sway the Vote?The New York Times Brazil spent years targeting electoral lies on the internet. Now, artificial intelligence is stumping the election authorities and reshaping a high-stakes race. | 0.55 |
Source leans by Media Bias/Fact Check.
Narrow further
Other keywords in the matching articles: the share of them that mention each, with the number of articles. The search icon searches for artificial intelligence and that keyword instead of social media, keeping the text, sources, source type and time range.
Coverage by source
The share of each source's stories in the last 7 days that match the query, from left to right. Sort the table to reorder the bars.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
| The New York Times | 0.8% | 2 | 255 |
| Axios | 1.7% | 1 | 60 |
| Forbes | 0.3% | 1 | 346 |
| The Daily Wire | 0.5% | 1 | 205 |
| Breitbart | 0.3% | 1 | 369 |
Coverage by lean
The share of stories that match the query, in the last 7 days, averaged over the outlets of each political lean with at least 3 stories. The groups differ in size, so a single outlet weighs more in the smaller ones.
- Left-leaning2 of 15 sources
- 0.2%
- Least biased1 of 8 sources
- <0.1%
- Right-leaning2 of 15 sources
- 0.1%
Lean index −0.5: covered more by left-leaning outlets
Each outlet at its MBFC bias score, from −10 (far left) to +10 (far right), as high as the share of its stories that match the query. The lean index is the average score of the outlets covering it, weighted by that share.
lean indexour sources' average (+0.4)leftcenterright
Bias scores by Media Bias/Fact Check.
Source leans based on ratings by Media Bias/Fact Check.