For the quartet of tech billionaires in Jesse Armstrong's Mountainhead, ideas are so powerful that nothing else seems real. Holed up in a resplendent snowy retreat built by meditation-app developer Hugo Van Yalk (Jason Schwartzman), they're glued to their phones as the outside world is erupting into chaos, thanks in no small part to the wildfire spread of A.I. deepfakes on the social media platform owned by the world's richest man, Venis Parish (Cory Michael Smith). People in Gujarat are being burned alive after being falsely accused of desecrating religious symbols, and Midwestern Americans are machine-gunning each other over minor disagreements, but for these four men, the widespread devastation is in some ways proof of concept that they're as important as they believe themselves to be. And besides, those bodies going up in flames are just images on a tiny screen, so distant they might as well be theoretical. As he trudges through the snow with Randall (Steve Carell), the venture capitalist who serves as the group's self-appointed philosopher king, Venis asks him, "Do you … believe in other people?"

For Christians, Easter is a time to remember how Jesus was killed on the cross before returning three days later. But now, around 2,000 years later, the messiah has returned once more - this time as an AI influencer. The AI Jesus chatbot allows you to video call the son of God in real-time from the comfort of your computer. But faithful followers should be warned that there is a fairly major catch. This AI chatbot has been built not only to deliver words of wisdom and comfort, but also to advertise products. Designed as a'satire on spiritual consumerism', the bizarre website's creators say that the AI Jesus will always make sure to suggest a'strangely fitting product'.

In the cartoon, Mr Bezos, Meta founder Mark Zuckerberg and OpenAI's Sam Altman are depicted on their knees giving bags of cash to a statue of Trump. Mickey Mouse is also depicted prostrate in the cartoon. ABC News – which is owned by Disney – last month agreed to pay 15m to settle a defamation lawsuit filed by Trump. Ms Telnaes announced her resignation in a Substack post on Friday, saying she had worked for the newspaper since 2008. "In all that time I've never had a cartoon killed because of who or what I chose to aim my pen at," she wrote.

'Fake News' continues to undermine trust in modern journalism and politics. Despite continued efforts to study fake news, results have been conflicting. Previous attempts to analyse and combat fake news have largely focused on distinguishing fake news from truth, or differentiating between its various sub-types (such as propaganda, satire, misinformation, etc.) This paper conducts a linguistic and stylistic analysis of fake news, focusing on variation between various news topics. It builds on related work identifying features from discourse and linguistics in deception detection by analysing five distinct news topics: Economy, Entertainment, Health, Science, and Sports. The results emphasize that linguistic features vary between credible and deceptive news in each domain and highlight the importance of adapting classification tasks to accommodate variety-based stylistic and linguistic differences in order to achieve better real-world performance.

Understanding satire and humor is a challenging task for even current Vision-Language models. In this paper, we propose the challenging tasks of Satirical Image Detection (detecting whether an image is satirical), Understanding (generating the reason behind the image being satirical), and Completion (given one half of the image, selecting the other half from 2 given options, such that the complete image is satirical) and release a high-quality dataset YesBut, consisting of 2547 images, 1084 satirical and 1463 non-satirical, containing different artistic styles, to evaluate those tasks. Each satirical image in the dataset depicts a normal scenario, along with a conflicting scenario which is funny or ironic. Despite the success of current Vision-Language Models on multimodal tasks such as Visual QA and Image Captioning, our benchmarking experiments show that such models perform poorly on the proposed tasks on the YesBut Dataset in Zero-Shot Settings w.r.t both automated as well as human evaluation. Additionally, we release a dataset of 119 real, satirical photographs for further research. The dataset and code are available at https://github.com/abhi1nandy2/yesbut_dataset.

Bengaluru, India – On February 20, India's chief opposition party, the Indian National Congress (INC), uploaded a video parodying Prime Minister Narendra Modi on Instagram that has amassed over 1.5 million views. It is a short clip from a new Hindi music album named "Chor" (thief), where Modi's digital likeness is grafted onto the lead singer. The song's lyrics were humorously reworked to describe a thief's – in this case, a business tycoon's – attempt to steal, and Modi handing over coal mines, ports, power lines and ultimately, the country. The video isn't hyperrealistic, but a pithy AI meme that uses Modi's voice and face clones, to drive home the nagging criticism of his close ties to Indian business moguls. That same day, the official Bharatiya Janata Party (BJP) handle on Instagram, with over seven million followers, uploaded its own video.

To model the Task 3 (Piskorski et al., 2023) expects the participants features representation of news articles across different to develop algorithms to automatically detect languages, the XLM-RoBERTa (XLM-R) the news genre, framing and persuasion techniques (Conneau et al., 2020) is fine-tuned since it can in a multilingual setup as shown in Table 1. Six different processes all the languages existing in Task 3, and languages are covered in this task, including typically outperforms other models such as mBERT English, French, German, Italian, Polish and Russian. (Kenton and Toutanova, 2019). In addition, three surprise languages, Spanish, In addition, this study also calculates the sample Greek and Georgian, are also included in the final weights and class weights to combat the data test phase for conducting a zero-shot learning imbalance. The sample weights enable a training scenario.

A horror film written by AI is about as confused and incongruous as you'd imagine it would be. However, it is highly entertaining in its own right, with ill-fitting and even nonsensical dialogue and misfiring concepts making for an oddly enjoyable – if odd – few minutes. The project, uploaded to the Netflix is a Joke YouTube channel, had a bot subjected to 400,000 hours of horror movie material before being tasked with producing its own horror movie script. The result is either a horrifically bad attempt at a horror film – or it is a superb attempt at satire. If it's the former, then we've nothing to worry about as far as AI being able to exercise genuine creativity or even display coherence.

Hoaxes spread quickly online, be they about celebrities, politicians or anyone else. But falsehoods labeled as satire can slip through the defenses of social media companies, allowing people to peddle fiction as fact, all while making a financial profit. The claims tend to be spectacular: Bill Gates arrested for child trafficking, Tom Hanks executed by the U.S. military, or Pope Francis declaring that a COVID-19 vaccine would be required to enter heaven. These bogus allegations originated from articles on websites that contain disclaimers that they are satirical. The problem is that many people believe them.

This article is a guest post on NoCamels and has been contributed by a third party. NoCamels assumes no responsibility for the content, including facts, visuals, and opinions presented by the author(s). Ryan E. Long is a non-residential fellow of Stanford Law School's Center for Internet and Society and Vice-Chair of the CA Lawyers Association, IP Licensing Interest Group. In addition, he has written for or been interviewed by publications such as The Nordic Blockchain Association, El Pais, Cognitive Times, and Digital Trends about new tech subjects such as artificial intelligence, blockchain and "deep fake" videos. Currently, he is an adjunct professor of media law at Pepperdine Law School in Malibu, California.