The dissemination of hateful memes online has adverse effects on social media platforms and the real world. Detecting hateful memes is challenging, one of the reasons being the evolutionary nature of memes; new hateful memes can emerge by fusing hateful connotations with other cultural ideas or symbols. In this paper, we propose a framework that leverages multimodal contrastive learning models, in particular OpenAI's CLIP, to identify targets of hateful content and systematically investigate the evolution of hateful memes. We find that semantic regularities exist in CLIP-generated embeddings that describe semantic relationships within the same modality (images) or across modalities (images and text). Leveraging this property, we study how hateful memes are created by combining visual elements from multiple images or fusing textual information with a hateful image. We demonstrate the capabilities of our framework for analyzing the evolution of hateful memes by focusing on antisemitic memes, particularly the Happy Merchant meme. Using our framework on a dataset extracted from 4chan, we find 3.3K variants of the Happy Merchant meme, with some linked to specific countries, persons, or organizations. We envision that our framework can be used to aid human moderators by flagging new variants of hateful memes so that moderators can manually verify them and mitigate the problem of hateful content online.

Incorporating personal preference is crucial in advanced machine translation tasks. Despite the recent advancement of machine translation, it remains a demanding task to properly reflect personal style. In this paper, we introduce a personalized automatic post-editing framework to address this challenge, which effectively generates sentences considering distinct Figure 1: Example of a personal post-editing triplet personal behaviors. To build this framework, (i.e., source (src), machine translation (mt), and postedit we first collect post-editing data that connotes (pe)) given the source text in English and the translated the user preference from a live machine translation text in Korean. A post-edited sentence does not system. Specifically, real-world users enter only contain error correction of an initial machine translation source sentences for translation and edit result but also reflects individual preference. For the machine-translated outputs according to instance, a human post-editor modifies the word "primarily" the user's preferred style. We then propose to "primary," but also change " 공헌 " to its synonym a model that combines a discriminator module " 기여 " while keeping the rest as it is (e.g., "research").

Pepe the robot was wall-mounted near a handwashing station. It prompted children to wash their hands and provided positive reinforcement. The hand-shaped robot, dubbed'Pepe', is the product of a collaboration between researchers from the University of Glasgow in Scotland and Amrita Vishwa Vidyapeetham University in India. Pepe was mounted to the wall above a handwashing station at the Wayanad Government Primary School in Kerala, which has around 100 pupils aged between five and 10. A small video screen mounted behind Pepe's green plastic exterior acted as a'mouth,' allowing researchers to tele-operate the robot to speak to the pupils and draw their attention to a poster outlining the steps of effective handwashing.

Illustrator Matt Furie is bidding to reclaim his amphibian character after it was co-opted online as a popular meme associated with white supremacy and neo-Nazi values by members of the so-called alt-right. The lawsuit, filed with a federal court in California, seeks damages from the Alex Jones-fronted brand over a poster featuring the allegedly unauthorised image of Pepe alongside Jones, Donald Trump and a number of other prominent anti-establishment right-wing figures, including Milo Yiannopoulos, Ann Coulter, Matt Drudge and Roger Stone. The poster's slogan reads "MAGA", an acronym standing for President Trump's 2016 campaign slogan "Make America Great Again." Furie's lawyers allege InfoWars used the character's likeness without prior authorisation and made the poster available for purchase in its online store without permission. Originally conceived as a "peaceful frog-dude" in 2005, Furie's cartoon was first drawn on Microsoft Paint and appeared in an early online comic called Boy's Club, popularised on MySpace.

Knuckles, right, appears in the Sega Genesis video game'Sonic & Knuckles.' Fans of Sonic The Hedgehog are well acquainted with Knuckles, the red echidna made popular through a series of video games produced by Sega. Recently, the character has taken on a whole new persona online in the form of Ugandan Knuckles. Not only has the character morphed into its own meme, complete with catchphrase, it has devolved into an unfortunate fixture of Internet memes -- a troll that harasses other online players and spews racist phrases. Here is what you need to know about Knuckles, and his second life under his Ugandan form.

The robot exhibition had a very successful 1998. At the conference, we had 11 robot demonstrations (including three multirobot demos), 5 oral presentations, and an additional 5 video or poster submissions. The exhibition also included a published video proceedings for the first time. One of the most interesting features of the exhibition was the variety of capabilities shown. From a mechanical point of view, indoor wheeled robots were, as usual, the most common form of robot, but the exhibit also featured several outdoor wheeled robots, several legged robots, two humanoids, a snake, and a plant.

If you need to hail an Uber, Amazon's wildly popular virtual assistant Alexa is your go-to connection. But if you're looking for an artificially intelligent conversation partner, Google Home seems like the better fit. Reviews are in for the Home device which Google releases Friday. The product is Google's answer to Amazon Echo, a cylindrical microphone that runs Alexa. The consensus: This new thing from Google is very smart.