Meta has started notifying Instagram and Facebook users across the UK that it is training its AI with their posts – and people are not happy about it. In emails and notifications being sent to UK users, Meta says it's using posts, comments, photos and even captions to help develop its human-like'generative AI', akin to ChatGPT. By being trained with UK user data, Meta told MailOnline that the AI will'reflect and understand British language, geography and culture'. Social media users are fuming over the controversial move, with one person saying the tech giant can'f*** right off'. If you don't want your personal data being handed over to Meta's AI training programme, here's how you can object.

If you're feeling smug about your perfectly curated Instagram profile, it's time to get humbled. The latest social media trend sees Instagram users asking ChatGPT to'roast' their profiles. The AI chatbot doesn't hold back with its critiques, with one user claiming they'just got dragged to hell'. So, are you brave enough to have your Instagram profile picked apart by a robot? Here's how you can try the hilarious new trend.

The next time you DM a creator on Instagram, you might get a reply from their AI. Meta is starting to roll out its AI Studio, a set of tools that will allow Instagram creators to make an AI persona that can answer questions and chat with their followers and fans on their behalf. The company first introduced AI Studio at its Connect event last fall but it only recently began to test creator-made AIs with a handful of prominent Instagrammers. Now, Meta is making the tools available to more US-based creators and giving the rest of its users the chance to experiment with specialized AI "characters." According to Meta, the new creator AIs are meant to address a long-running issue for Instagram users with large followings: it can be nearly impossible for the service's most popular users to keep up with the flood of messages they receive every day.

The long-standing problem of spam and fraudulent messages in the comment sections of Instagram pages in the financial sector claims new victims every day. Instagram's current spam filter proves inadequate, and existing research approaches are primarily confined to theoretical concepts. Practical implementations with evaluated results are missing. To solve this problem, we propose ScamSpot, a comprehensive system that includes a browser extension, a fine-tuned BERT model and a REST API. This approach ensures public accessibility of our results for Instagram users using the Chrome browser. Furthermore, we conduct a data annotation study, shedding light on the reasons and causes of the problem and evaluate the system through user feedback and comparison with existing models. ScamSpot is an open-source project and is publicly available at https://scamspot.github.io/.

While homo sapiens were capable of abstract thought almost 100,000 years ago, it took much longer for the human mind to invent abstract painting. It wasn't until the beginning of the 20th century that artists such as Wassily Kandinsky, Kazimir Malevich, and Hilma af Klint created abstract works with no identifiable references to the physical world. Abstraction quickly became the lodestar driving artistic production, a trend that largely continues to this day. But just how popular is abstract art with collectors and art enthusiasts? To try and answer this question, we assembled a database of 112,600 Instagram posts made last December for which the geolocation and/or hashtags indicated that the user was in Miami during Art Basel in Miami Beach. Eliminating selfies and other extraneous pictures yielded approximately 74,760 images, which represents the collective visual record of all the artworks Instagram users saw in person that they also elected to share with their followers.

The advent of social media presents a promising new opportunity for early detection and intervention in psychiatric disorders. Predictive screening methods have successfully analyzed online media to detect a number of harmful health conditions [1–11]. All of these studies relied on text analysis, however, and none have yet harnessed the wealth of psychological data encoded in visual social media, such as photographs posted to Instagram. In this report, we introduce a methodology for analyzing photographic data from Instagram to predictively screen for depression. There is good reason to prioritize research into Instagram analysis for health screening.