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In order to evade government censors blocking free expression, Chinese social media posters utilize homophonic (same sound) and logographic (character) resemblances in order to voice controversial/politically-charged content.

This article examines the origin, history, and evolving use of the pejorative term "Karen" on social media. The label publicly lambasts whiny, middle-aged white women who shamelessly display entitlement, privilege, and racism - and who tend to call the police when they don't get what they want.

This article discusses a recent branding trend in which companies drop vowels from their names with the intent of appearing more modern. Following companies like Flickr, Scribd, Grindr, and Tumblr, Standard Life Aberdeen recently announced a name change to Abrdn. This move has been met with criticism by the public and linguists alike who've deemed it a failed attempt to be use youth language and appear "edgier." Linguists have brought up that dropping vowels can only be effective with certain words. Since Abrdn drops two vowels, it makes it much more difficult to pronounce, which could lead to brand unfamiliarity. On the other hand, other linguists argue that it simply feeds off a modern language trend, and could indeed be accomplishing its goal.

This journal entry is about studies conducted to compare different reading platforms such as hard cover books, e-readers, tablets and desktop computers. These studies covered topics such as cognition, preferred mode for reading and the physicality of reading.

This article talks about the decline in religious conversations happening within the US. The author, a strong religious practitioner and son of megachurch pastor describes his worries with the trends being shown. His main problem with the shift away from religious conversations was that he worried people were losing faith. He argues that organized religion, and specifically Christianity will slowly die without faith speech. He believes that the reason why faith speech is dying is because of its misuse by politicians, and the media to manipulate the public.

This is a comprehensive review that talks about how television affects language learning and vocabulary building in young children. They cite lots of experiments and books related to this topic.

Over the past few months, the online word game Wordle has skyrocketed in popularity, with cryptic grids of gray, green and yellow squares appearing on social media.The game is challenging, but simple: Once a day, players have six guesses to identify a new five-letter word (all players receive the same word on a given day). Each guess provides color-coded hints: a letter turns green if it is in the correct spot, yellow if it is part of the word but in a different spot, and gray if it is not in the word at all. In Wordle, the process of intuiting a target word from color-coded clues provides a window into our subconscious understanding of how language works, according to UChicago linguist Jason Riggle. In effect, it turns everyone into a linguist, forcing us to wrestle with sound fragments and stitch them together according to probability distributions.

This blog post explains the relatively new history of 她, the female third-person, or "she." Originally, with standardized writings of Mandarin Chinese, the only third-person pronoun was 他. It was used regardless of the subject's gender. In 1917, linguist Liu Ban Nong proposed "她," but it wasn't until feminist movements and media coverage gained force that the Chinese Government claimed it. Its usage is still being debated today, with people questioning whether or not there needs to be a gendered "them" at all.

Columbia University linguist John McWhorter opines on the impact AI translation might have on second language learning. We already know that Americans and UK folx are the most monolingual populations in the world; fewer than one in 100 American students currently become proficient in a language they learned in school. McWhorter argues that AI might offer utilitarian practicality for casual users, e.g. translating useful phrases on the fly while traveling: "With an iPhone handy and an appropriate app downloaded, foreign languages will no longer present most people with the barrier or challenge they once did." Yet McWhorter also says, "I don't think these tools will ever render learning foreign languages completely obsolete. Real conversation in the flowing nuances of casual speech cannot be rendered by a program, at least not in a way that would convey full humanity." He also suggests that genuinely acquiring a language will still beckon a few select people, e.g. those relocating to a new country, those who'd like to engage with literature or media in the original language, as well as those of us who find pleasure in mastering these new codes: that language learning will become "an artisanal pursuit" of sorts.

Journalist Nicholas Kristof explores contemporary buzzwords and changing social sensibilities regarding language and journalistic style norms, for example, the shift from "women" to "people with uteruses" or "homeless" to "houseless." Kristof examines the reasons behind these recent adoptions, but also raises the issue of how some peopleʻs use of well-intentioned, more sensitive, and "inclusive" language may ironically be alienating other sectors of society. For example, while the media and corporate (white) America mayʻve adopted the term "Latinx," a Pew survey found that only 3 percent of Hispanics themselves use the term.

Thought-provoking article on the absorption of drag slang and AAVE into mainstream language, and the legitimacy of "crossing over." Much of our everyday language has roots in various subcultures. With the rise of social media, the lines between "subculture" and "mainstream" are starting to blur further. As just one example, drag slang and AAVE words are absorbed into mainstream slang with an almost clockwork-like consistency. But does this terminology belong to the communities who created it? What's the boundary between the natural evolution of language and cultural appropriation? Author Eleanor Tremeer notes, "In an ideal world, the fusion of social groups and cultures would organically lead to the merging of dialects. The problem, as always, lies in oppression. Black individuals and LGBT people are marginalized: Their cultures are seen as unprofessional, they frequently live below the poverty line, they are targeted for prosecution. Yes, words are just words. But as long as people are still oppressed because they belong to certain groups, the usage of their vernacular by those on top - white people, rich people, corporations - will always have sinister undertones."

I thought was a really interesting and helpful website. The entries are short but you can request access to full articles as well. It has articles on LANGUAGE EFFECTS ON PERSONAL IDENTITY, PROFANITY AND MEDIA, PRAGMATISM OF CURSE WORDS, YOUTH SLANG EXPRESSION AROUND THE WORLD, IMPACTS OF "BAD" ENGLISH, UNCONVENTIONAL PHRASES AND AFRICAN RACE.

Curse word like the 'c-word' and 'f-word', once considered unspeakable, have become less taboo. This may be due to social media, COVID-19 pandemic, and public swearing by individuals such as Donald Trump.

This article focused on the impacts that technology has had on the writing for younger generations. The style of writing that is used for social media has become known as "Netspeak" and typically consists of shorter sentences and phrases, as well as shortening of words through abbreviations or substitutions. ie. lol for laughing out loud, or w8 for weight. These came about as ways to fit the short character limits set by many sites, however this style of writing has been observed to start affecting other more formal forms of writing. Although this is something that some people have become aware of, there are still many people who do this without thinking, and don't realize that they have started to use netspeak in writing for papers

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.

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."

The author delves into the nuanced role of swear words, exploring how they can forge social bonds and emphasize points in conversations. However, how acceptable these words are varies based on how they are used, as there are a number of reasons one may swear.

This article discusses how "trendy slangs" are becoming more appealing to foreigners wanting to learn english. In the UK a survey was conducted to determine the type of slang these foreigners are hearing amongst social media platforms. This article relates how many slangs have a root in Multicultural London English (MLE) or African-American Vernacular English (AAVE). This article informs those learning english the type of slangs to use and when appropriate to do so. The slangs range from an older generation to current-ish slangs.

This article explains some of the many harmful effects AI and voice replication are having on the growing misinformation crisis. Some cases paint certain political figures in a negative light by creating audio clips of them saying damaging things. Between political influence and scams, several problems arise from the cheep price and accessibility of sophisticated AI programs.