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This article talks about the different arguments for the linguistic status of hashtags. One of the arguments is that they are like compound words. Compound words are words that are a combination of two existing words which were formed into one word (ex. notebook, living room or long-term). Another suggestion is that hashtagging is a less formal and completely new process of forming words. It suggests that there are no rules in hashtagging other than that there can be no spaces in between the parts. The authors argue that their research goes against both arguments by saying that they shouldn't be considered as words at all, but that they are still very interesting linguistically because they function in many different roles in language use on social media.

This article argues that hashtags are artificial words based on their research of a collection of millions of New Zealand English tweets. Hashtags are a widespread feature of social media posts and used widely in search engines. Anything with the intent of attracting attention comes with a memorable hashtag like #BlackLivesMatter, #MeToo, and #COVID19. There are two main theories regarding the linguistic status of hashtags. One claims hashbrowns are like compound words. This is a way of making new words by gluing two or more words together. Another claims that hashtags are words that arise from a completely different process. Hashtagging is a much looser word-formation process with fewer restrictions. However, these researchers argue against both these conjectures. They suggest hashtags are written to look orthographically like words but their function is much broader and similar to keywords in a library catalogue or search engine. The researchers also created their own term, hybrid hashtags, meaning hashtags comprising one or more words from two distinct languages. Their example of hybrid hashtags included #kiaora4that and #letssharegoodtereostories which combined English and Maori, the indigenous language of New Zealand.

This article shows the potential influence that AI has on the economy. AI uses coding and programming through communication between computers in order to function

This article combines data from two lists. This first one was compiled by National Language Resources Monitoring and Research Center at Beijing Language and Culture University: "Big data analysis" of over a billion online posts and forum discussions from the Chinese internet in 2021 was reportedly used to decide on the final list, but it's clear from the selection that the artificial intelligence tool used has a good understanding of socialism with Chinese characteristics. The second list comes from Yaowen Jiaozi, a magazine founded in 1995 that publishes stories about the the misuse and abuse of language in Chinese society. This combined list has items that made BOTH lists. Separately, the magazine Yǎowén Jiáozì (咬文嚼字) published its year-end list of "popular buzzwords" (2021年十大流行语). Yaowen Jiaozi is a magazine founded in 1995 that publishes stories about the the misuse and abuse of language in Chinese society. Its name is variously translated as "Correct Wording," "Verbalism," and "Chewing Words." The Yaowen Jiaozi list does not claim to be created by big data, but rather from reader suggestions, online polling, and selection by specialists.

Teachers worried about students turning in essays written by a popular artificial intelligence chatbot now have a new tool of their own. Edward Tian, a 22-year-old senior at Princeton University, has built an app to detect whether text is written by ChatGPT, the viral chatbot that's sparked fears over its potential for unethical uses in academia. Tian, a computer science major who is minoring in journalism, spent part of his winter break creating GPTZero, which he said can "quickly and efficiently" decipher whether a human or ChatGPT authored an essay.

Mark Zuckerberg, the CEO of Meta, which owns Facebook, wants to break language barriers across the globe using artificial intelligence (AI). Meta announced an ambitious AI driven project, which will be key to building its Metaverse. The company said that it is building a universal speech translator, along with an AI powered virtual assistant. CEO Mark Zuckerberg, in an online presentation, stated, "The ability to communicate with anyone in any language - that's a superpower people have dreamed of forever, and AI is going to deliver that within our lifetime.For people who understand languages like English, Mandarin, or Spanish, it may seem like today's apps and web tools already provide the translation technology we need. Nearly half the world's population can't access online content in their preferred language today. No Language Left Behind is a single system capable of translating between all written languages. "We're also working on Universal Speech Translator, an AI system that provides instantaneous speech-to-speech translation across all languages, even those that are mostly spoken," said the company in a blog.

Artificial intelligence can make adults nervous, but experts say exploring it as a family is the best way to understand its pros and cons. It's important to understand how a chatbot works, employing a "neural network": a mathematical system that learns skills by analyzing large amounts of data. The chatbot works by scraping the internet for digital text or images. It gathers information from a variety of places, including websites, social media platforms and databases, but it does not necessarily choose the most reliable sources. In other words, even though chatbots may appear authoritative, rigorous and trustworthy, they are not always reliable and can produce content that is offensive, racist, biased, outdated, incorrect or simply inappropriate.

This comprehensive talks about what AI is and where it came from, along with the basics of why it has gained so much success lately. It explores how we can go about trusting this new technology, both in terms of tailored online services like ChatGPT and in terms of bigger machinery such as smart homes, self-driving cars, and more.

This study researches how AI may be used as a tool in the learning environment. It describes how pedagogy may evolve with new technologies, thus allowing AI to personalize learning to the student based off of digital footprint.

This article describes a study conducted by the Allen Institute of Artificial Intelligence which evaluated AI's capability to actually understand the language it produces. This comes after recent advancements in natural-language processing (NLP) have allowed AI to generate convincing literary works. In the study, researchers posed over 44,000 questions, built off the Winograd Schema Challenge, to an AI system. Essentially, the questions used pairs of sentences with slight differences that flipped the meaning of a pronoun, thus requiring a comprehensive understanding of semantics in order to correctly assign the pronoun. The study found that the AI only had a 60-80% success rate, compared to the human success rate of roughly 94%.