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That's because lol and lmao have evolved, and are now predominantly used as tone indicators, explains John Kelly, the Associate Director of Content and Education at Dictionary.com. As we increasingly spend our lives online and communicate largely through digital messages, the paralinguistic functions we use IRL to convey emotion, tone and nuance - i.e. body language, gesturing, facial expressions - gets lost in our texts, emails, Slack messages and tweets. So we have to rely on different things to do that, like emojis and text acronyms. So what are we trying to communicate when we sign off our text messages with a lol? It's not because we're literally laughing out loud; rather, we're using this lowly little acronym to try and soften the tone of our messages.

Imagine putting on a virtual reality headset and entering a world where you can explore communities, like Missoula, except your character, and everyone you interact with, speaks Salish, Cheyenne or Blackfoot. Imagine having a device like Amazon's Alexa that understands and speaks exclusively in Indigenous languages. Or imagine a digital language playground in Facebook's Metaverse, where programmers create interactive games to enhance Indigenous language learning. Michael Running Wolf, a Northern Cheyenne man who is earning his Ph.D. in computer science, wants to make these dreams a reality. Running Wolf grew up in Birney, a town with a population of 150 just south of the Northern Cheyenne Reservation. He spent most of his childhood living without electricity. Running Wolf can speak some Cheyenne, but he wants Indigenous language learning to be more accessible, immersive and engaging. And he believes artificial intelligence is the solution. Running Wolf is one of a handful of researchers worldwide who are studying Indigenous languages and AI. He works with a small team of linguists and data scientists, and together, they analyze Indigenous languages and work to translate them into something a computer can interpret. If his team can accomplish this, Running Wolf reasons, then perhaps AI can be used to help revitalize Indigenous languages everywhere.

This article talks about a Facebook AI that was shut down because it created its own language that only it understood. It used english words but didn't use the same grammar or definitions for the words. It wasn't close to taking over the world or anything but it was the first time something like that happened. It is a wary foreshadowing of what could happen into the future and possibly create a Terminator SkyNet situation.

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.

(Posting for Ashley Ishimura) This is about how being able to be "fluent" in texting can actually help in life. Just as writing became a new way of expressing language all those thousands of years ago, texting is a new form of expression entirely representative of the way we communicate today-that is, quickly, economically, and on the go. Texting may also enhance social gregariousness and positively impact reading and language development.

Ending your texts with a period is truly monstrous. We all know this. Grammar be darned, it just doesn't look friendly. Now a study has confirmed it. Researchers led by Binghamton University's Celia Klin report that text messages ending with a period are perceived as being less sincere, probably because the people sending them are heartless.

How many times have your teachers or editors told you that every word counts? Now, it turns out that every character you send counts, too. In fact, it turns out that the best way to punctuate a text message may be by not punctuating it at all: Researchers at Binghampton University have found that ending your text with a period - full stop - may make you seem more insincere.

What emoji do people use the most? That's the central question in a new study that looks at emoji use around the world. The company SwiftKey analyzed more than a billion pieces of emoji data, organized by language and country. According to SwiftKey's chief marketing officer, Joe Braidwood, the results were fascinating. Here's a sample of what researchers found: 1. 70 percent of all emojis sent are positive. 2. Canadians lead the charge in their use of money, violence, sports-related, raunchy, and even the poop emoji. 3. Americans are second behind Canada in their love of violent emojis, such as guns. But they also enjoy food emoji: pizza and the chicken drumstick are high-frequency. 4. Australians referenced drugs, alcohol, junk food and holidays much more than any other nation. 5. French really are hopeless romantics and use heart emojis four times more than anyone else. 6. Arabic speakers are big fans of the rose emoji, using it 10 times more than other language speakers. 7. Spanish-speaking Americans used sad faces more than any other language. "The most popular emoji that they used out of the sad faces was the crying emoji."

This article was really interesting because it talked about how emojis are changing the way we communicate with each other. It talked about how emojis are replacing words in a simpler form, which can decrease the effectiveness of communicating with other people.

This article discusses the impact of special communication apps for children with Autism Spectrum Disorder and how they help non-verbal students communicate with the teachers and classmates.

A new longitudinal study, led by Mary E. Brushe, a researcher at the Telethon Kids Institute at the University of Western Australia, gathered data from 220 families across South Australia, Western Australia and Queensland with children who were born in 2017. Once every six months until they turned 3, the children wore T-shirts or vests that held small digital language processors that automatically tracked their exposure to certain types of electronic noise, as well as language spoken by the child, the parent or another adult. The researchers were particularly interested in three measures of language: words spoken by an adult, child vocalizations and turns in the conversation. They modeled each measure separately and adjusted the results for age, sex and other factors, such as the mother's education level and the number of children at home. Researchers found that at almost all ages, increased screen time squelched conversation. When the children were 18 months old, each additional minute of screen time was associated with 1.3 fewer child vocalizations, for example, and when they were 2 years old, an additional minute was associated with 0.4 fewer turns in conversation. The strongest negative associations emerged when the children were 3 years old - and were exposed to an average of 2 hours 52 minutes of screen time daily. At this age, just one additional minute of screen time was associated with 6.6 fewer adult words, 4.9 fewer child vocalizations and 1.1 fewer turns in conversation.

This article talks about how AI-generated texts can be distinguished from human writing. It explains why it is essential for us to tell them apart and why it is still not able to perfectly mimic humans.

This article discusses some of the ways AI-generated text can differ from sentences written by humans.

A mom to a child with autism wrote a children's book to demonstrate how her non-verbal son is able to communicate despite being unable to speak. Although many people with severe autism aren't able to verbally communicate, they are still able to communicate their thoughts through gestures, body language, and tablets. Tablets have become a voice for people with autism and allows them to show others that they are able to comprehend more than people realize. People with autism, especially children, face constant judgment and bullying. The hope is that this book will normalize and expose children to other children with autism.

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%.

AI is not completely developed enough to overthrow writers yet. AI is able to produce full paragraphs by comparing and applying similar patterns across Wikipedia pages and other writings found on the Internet. The future of AI writing includes mixed media. For example, creating pictures or videos out of a text prompt. But AI will be seemingly integrated into day-to-day word processors and possibly become the "norm."

This article focussed on how the covid lockdown had affected the language acquisition of children, ranging from about 1 to 3 years old. It talked about how screen use was shown to lower the amount of words learned during the same periods of time as compared to face to face interaction with another person.

This article discusses how both verbal and body language can indicate deceit in conversation. Although there is no established method of lie detection, many psychologists are working towards creating a more accurate system to do so using a combination of technology that analyzes facial expression, speech patterns, and more.

This article discusses the use of AI in learning languages. It discusses the benefits such as corrective feedback and being able to talk about your topic of choice. However, it also mentions some drawbacks such as potential biases and errors.

This article talks about how German language can be perceived as aggressive. Which it explains why we only see it as how it's pronounce instead of what it really means, because the pronunciation doesn't reflect the emotions of the words.