Reddit's human content wins amid the AI flood For Ines Tan there's one particular site she turns to again and again for advice - and that's Reddit. Tan, who works in communications, regularly jumps on the site for skincare advice, to view reactions to shows she watches, such as The Traitors, and for help planning her upcoming wedding in May. It's a very empathetic place, she says of Reddit. For my wedding, I've found help emotionally, logistically and inspiration-wise. Tan believes people are consulting the online discussion platform more as they're craving human interaction in the world of increasing AI slop.

Things to Do in L.A. Tap to enable a layout that focuses on the article. California launches investigation into child porn on Elon Musk's AI site This is read by an automated voice. Please report any issues or inconsistencies here . California opened an investigation into Elon Musk's xAI company, alleging its Grok chatbot creates sexually explicit deepfakes of real people and child pornography. The AI tool allows users to morph photos into explicit images and post them publicly on X.

Musk says X outcry is'excuse for censorship' Elon Musk has said that critics of his social media site X are looking for any excuse for censorship, amid reports that X's artificial intelligence (AI) chatbot Grok was creating non-consensual sexualised images of people, including children. Ofcom says it is conducting an urgent assessment of X in response, which has been backed by Technology Secretary Liz Kendall. She described the sexual manipulation of images of women and children as despicable and abhorrent, adding that she would expect to see an update from Ofcom in days. X has now limited the use of AI image function to those who pay a monthly fee, a change dubbed by Downing Street as insulting to victims of sexual violence. The BBC has seen several examples of the free AI tool undressing women and putting them in sexual situations without their consent.

Jim Acosta and James Carville speculated whether President Trump will try to rig the 2026 midterms in his favor on "The Jim Acosta Show." Former CNN anchor Jim Acosta was slammed on social media after he posted a clip of his "interview" with an artificially animated avatar of deceased teenager Joaquin Oliver to promote a gun control message on Monday. Working with the gun control group Change the Ref, founded by Oliver's parents, Acosta had a conversation on his Substack with an avatar created by the father of the son, who was killed in the Parkland high school shooting in 2018. Oliver would have turned 25 on Monday. Social media users were shocked by Acosta's "grotesque" interview and slammed the journalist for using the deceased teen's avatar for political content.

In this thesis, we propose an approach to identity resolution across social media platforms using the topics, sentiments, and timings of the posts on the platforms. After collecting the public posts of around 5000 profiles from Disqus and Twitter, we analyze their posts to match their profiles across the two platforms. We pursue both temporal and non-temporal methods in our analysis. While neither approach proves definitively superior, the temporal approach generally performs better. We found that the temporal window size influences results more than the shifting amount. On the other hand, our sentiment analysis shows that the inclusion of sentiment makes little difference, probably due to flawed data extraction methods. We also experimented with a distance-based reward-and-punishment-focused scoring model, which achieved an accuracy of 24.198% and an average rank of 158.217 out of 2525 in our collected corpus. Future work includes refining sentiment analysis by evaluating sentiments per topic, extending temporal analysis with additional phases, and improving the scoring model through weight adjustments and modified rewards.

Social media platform X has blocked searches for one of the world's most popular personalties, Taylor Swift, after explicit artificial intelligence images of the singer-songwriter went viral. The deepfakes flooded several social media sites from Reddit to Facebook. This has renewed calls to strengthen legislation around AI, particularly when it is misused for sexual harassment. Here's what you need to know about the Swift episode and legality around deepfakes. On Wednesday, AI-generated, sexually explicit images began circulating on social media sites, particularly gaining traction on X.

For instance, studies demonstrate that ChatGPT exceeds the performance of crowd-workers in tasks encompassing relevance, stance, sentiment, topic identification, and frame detection (Gilardi, Alizadeh and Kubli, 2023), that it outperforms trained annotators in detecting the political party affiliations of Twitter users (Törnberg, 2023), and that it achieves accuracy scores over 0.6 for tasks such as stance, sentiment, hate speech detection, and bot identification (Zhu et al., 2023). Notably, ChatGPT also demonstrates the ability to correctly classify more than 70% of news as either true or false (Hoes, Altay and Bermeo, 2023), which suggests that LLMs might potentially be used to assist content moderation processes. While the performance of LLMs for text annotation is promising, there are several aspects that remain unclear and require further research. Among these is the impact of different approaches such as zero-shot versus few-shot learning and settings such as varying temperature parameters. Zero-shot learning allows models to predict for unseen tasks, while few-shot learning uses a small number of examples to generalize to new tasks. The conditions under which one approach outperforms the other are not fully understood yet.

The government's campaign to fight "misinformation" has expanded to adapt military-grade artificial intelligence once used to silence the Islamic State (ISIS) to quickly identify and censor American dissent on issues like vaccine safety and election integrity, according to grant documents and cyber experts. The National Science Foundation (NSF) has awarded several million dollars in grants recently to universities and private firms to develop tools eerily similar to those developed in 2011 by the Defense Advanced Research Projects Agency (DARPA) in its Social Media in Strategic Communication (SMISC) program. DARPA said those tools were used "to help identify misinformation or deception campaigns and counter them with truthful information," beginning with the Arab Spring uprisings in the the Middle East that spawned ISIS over a decade ago. The initial idea was to track dissidents who were interested in toppling U.S.-friendly regimes or to follow any potentially radical threats by examining political posts on Big Tech platforms. Mike Benz, executive director of the Foundation for Freedom Online has compiled a report detailing how this technology is being developed to manipulate the speech of Americans via the National Science Foundation (NSF) and other organizations.

Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data. It is a method for interpreting opinions within a text that uses Natural Language Processing (NLP) to extract positive, negative, and natural meanings from user-generated content shared on social media platforms. Sentiment analysis has been previously applied to products or movie reviews to understand customers' interests better and, thus, improve outcomes and service offerings.

Text mining and natural language processing in R is a course which is ideally suited for my work. Do You Want to Gain an Edge by Gleaning Novel Insights from Social Media? Do You Want to Harness the Power of Unstructured Text and Social Media to Predict Trends? Over the past decade there has been an explosion in social media sites and now sites like Facebook and Twitter are used for everything from sharing information to distributing news. Mining unstructured text data and social media is the latest frontier of machine learning and data science.