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Pew Researchers surveyed more than 1,500 technologists and scholars about the forces shaping the way people interact with one another online. They asked: "In the next decade, will public discourse online become more or less shaped by bad actors, harassment, trolls, and an overall tone of griping, distrust, and disgust?" The vast majority of techonolgists surveyed-81 percent of them-said they expect the tone of online discourse will either stay the same or get worse in the next decade. "Cyberattacks, doxing, and trolling will continue, while social platforms, security experts, ethicists, and others will wrangle over the best ways to balance security and privacy, freedom of speech, and user protections. A great deal of this will happen in public view," Susan Etlinger, a technology industry analyst, told Pew. "The more worrisome possibility is that privacy and safety advocates, in an effort to create a more safe and equal internet, will push bad actors into more-hidden channels such as Tor." Tor is software that enables people to browse and communicate online anonymously-so it's used by people who want to cover their tracks from government surveillance, those who want to access the dark web, trolls, whistleblowers, and others. The uncomfortable truth is that humans like trolling. It's easy for people to stay anonymous while they harass, pester, and bully other people online-and it's hard for platforms to design systems to stop them. Hard for two reasons: One, because of the "ever-expanding scale of internet discourse and its accelerating complexity," as Pew puts it. And, two, because technology companies seem to have little incentive to solve this problem for people. "Very often, hate, anxiety, and anger drive participation with the platform," said Frank Pasquale, a law professor at the University of Maryland, in the report. "Whatever behavior increases ad revenue will not only be permitted, but encouraged."

While brain games can't avert dementia in those genetically inclined toward the condition, one can ensure better brain fitness and long-term health. The brain thrives on continuous stimulation. Here are takeaway tips from the article: 1. Brain exercises should rely on novelty and complexity, including board games that are played with others. 2. All kinds of concentrated activities, like learning a foreign language or how to play a musical instrument, can be fulfilling. 3. Along with exercising and good nutrition, a brain that is fully engaged socially, mentally and spiritually is more resilient. 4. New, interactive learning is helpful. 5. Cognitive training that uses thinking, such as problem solving and learning, like reading a newspaper article and discussing it with a friend, has staying power in the brain - even 10 years after the training ends.

This article explains why filler words, such as "like," "um," "uh," "you know" and "yeah", are used so extensively when we speak in conversation. What studies have own through this article is that the use of filler words has increased over the past 30 years. There are many factors that contribute to the utilization of filler words. As we know, there is no actual need for filler words, but nervousness and lack of confidence does play a factor in why filler words are used so much . Another reason we use filler words is because we are unsure about the topic of a specific conversation. Studies showed that when talking about a topic that is complex or that the subject is unfamiliar with, they tend to use more filler words as opposed to when a subject is talking about themselves or a simple topic.

Almost every language on the planet includes words that sound like the things they describe. Crash, yawn, glug… speech is just full of these onomatopoeias. And because they have their root in real things they're often easy to identify. Even a non-native speaker might recognise the Hindi "achhee" (a sneeze) or the Indonesian "gluk" (glug). Because these onomatopoeias are so widely encountered, easy to pick up, and convey information might they be the first form of language? That's the argument presented in a recent paper published in Animal Cognition. It points out that our ancestors would have begun encountering more and more noises that we could repeat. Tool use/ manufacture in particular, with its smashes and crashes, would be a prime source of onomatopoeias. Mimicking these sounds could have allowed early humans to "talk" about the objects; describing goals, methods, and objects. Might handing someone a rock and going "smash" been a way to ask them to make a tool? Perhaps different noises could even refer to different tools. Humans are good at extracting information from mimicked sounds. These sounds also trigger "mirror neurons" - parts of the brain that fire when we observe other people doing something - allowing us to repeat those actions. Seeing someone hold a rock a certain way and saying "smash" could have helped our ancestors teach the proper way to smash. But the biggest benefit would be the fact that you can communicate about these objects without seeing them. Having a sound for a tool would allow you to ask someone for it, even if they didn't have it on them. Given these advantages, it's easy to imagine how evolution would have favoured people who mimicked noises. Over time, this would have driven the development of more and more complex communication; until language as we recognise it emerged. Following this narrative, you can see (or maybe hear) how an a human ancestor with almost no language capability gradual

Sound symbolism is a non-arbitrary relationship between speech sounds and meaning. We review evidence that, contrary to the traditional view in linguistics, sound symbolism is an important design feature of language, which affects online processing of language, and most importantly, language acquisition. We propose the sound symbolism bootstrapping hypothesis, claiming that (i) pre-verbal infants are sensitive to sound symbolism, due to a biologically endowed ability to map and integrate multi-modal input, (ii) sound symbolism helps infants gain referential insight for speech sounds, (iii) sound symbolism helps infants and toddlers associate speech sounds with their referents to establish a lexical representation and (iv) sound symbolism helps toddlers learn words by allowing them to focus on referents embedded in a complex scene, alleviating Quine's problem. We further explore the possibility that sound symbolism is deeply related to language evolution, drawing the parallel between historical development of language across generations and ontogenetic development within individuals. Finally, we suggest that sound symbolism bootstrapping is a part of a more general phenomenon of bootstrapping by means of iconic representations, drawing on similarities and close behavioural links between sound symbolism and speech-accompanying iconic gesture.

Fascinating look at the subcultural language of hospitals! The article provides several examples of "argot," the formal name for slang or jargon. The Merriam-Webster Dictionary defines "argot" as "an often more or less secret vocabulary and idiom peculiar to a particular group" [1]. According to its stated definition, argot permits those in the know to 1. share complex pieces of information without bystanders understanding what they are saying. 2. create or reinforce a bond between users. 3. give some emotional distance between the speaker and the event and its impact on patients and family members. 4. permits those in the know to express regret or even revulsion at having to deal with unpleasant situations. "Code brown," which refers to a conspicuous episode of fecal incontinence, is an example frequently used in the hospital setting.

Why does psychotherapy favorably compare to medication in treating depression? One reason may be rooted in the evolutionary origins of depression. Scholars suggest humans may become depressed to help us focus attention on a problem that might cause someone to fall out of step with family, friends, clan or the larger society-an outcast status that, especially in Paleolithic times, would have meant an all-but-certain tragic fate. Depression, by this account, came about as a mood state to make us think long and hard about behaviors that may have caused us to become despondent because some issue in our lives is socially problematic. Steven D. Hollon, a professor of psychology at Vanderbilt University, explores the implications of helping a patient come to grips with the underlying causes of a depression-which is the goal of CBT (cognitive behavioral therapy), and is also in line with an evolutionary explanation. The anodyne effects of an antidepressant, by contrast, may divert a patient from engaging in the reflective process for which depression evolved-a reason perhaps that psychotherapy appears to produce a more enduring effect than antidepressants. Hollon notes that depression has a purpose--it spurs rumination about complex social problems, and that CBT can expedite rumination and make it more effective. He states, "For most people, depression motivates them to think more deliberately about the causes of their problems and the solutions they can apply. In most instances in our ancestral past this worked well enough; most depressions remit spontaneously even in the absence of treatment. Cognitive therapy, at the least, hurries the process along and, at the most, helps unstick that subset of individuals who get stuck making negative ascriptions about themselves, typically about personal competence or lovability."

Scientists are reporting in the journal Science that they have identified specialized brain cells that help us understand what a speaker really means. These cells do this by keeping track of changes in the pitch of the voice. "We found that there were groups of neurons that were specialized and dedicated just for the processing of pitch," says Dr. Eddie Chang, a professor of neurological surgery at the University of California, San Francisco. Chang says these neurons allow the brain to detect "the melody of speech," or intonation, while other specialized brain cells identify vowels and consonants. "Intonation is about how we say things," Chang says. "It's important because we can change the meaning, even - without actually changing the words themselves." The identification of specialized cells that track intonation shows just how much importance the human brain assigns to hearing, says Nina Kraus, a neurobiologist who runs the Auditory Neuroscience Laboratory at Northwestern University. "Processing sound is one of the most complex jobs that we ask our brain to do," Kraus says. And it's a skill that some brains learn better than others, she says. Apparently, musicians, according to a study conducted by Kraus, are better than non-musicians at recognizing the subtle tonal changes found in Mandarin Chinese. On the other hand, recognizing intonation is a skill that's often impaired in people with autism, Kraus says. "A typically developing child will process those pitch contours very precisely," Kraus says. "But some kids on the autism spectrum don't. They understand the words you are saying, but they are not understanding how you mean it." The new study suggests that may be because the brain cells that usually keep track of pitch aren't working the way they should.

This journal article looks at how bilingual individuals manage to toggle between two languages and the effects of being bilingual. Some researchers see bilingualism as a burden from having to learn and memorize another set of vocabulary, grammar, and structure, but there are many benefits that can be seen as early as infancy. Being bilingual in childhood has shown to increase complex cognitive thinking throughout one's life, and even into old age when the brain is in decline.

A 2013 joint study, conducted by the Montreal Neurological Institute and Hospital -- The Neuro at McGill University and Oxford University, concludes that the pattern of brain development is similar if you learn one or two languages from birth. However, learning a second language later on in childhood, after gaining proficiency in the first (native) language, does in fact, modify the brain's structure, specifically the brain's inferior frontal cortex. The left inferior frontal cortex became thicker and the right inferior frontal cortex became thinner. The cortex is a multi-layered mass of neurons that plays a major role in cognitive functions such as thought, language, consciousness and memory. The study suggests that the task of acquiring a second language after infancy stimulates new neural growth and connections among neurons in ways seen in acquiring complex motor skills such as juggling. The study's authors speculate that the difficulty that some people have in learning a second language later in life could be explained at the structural level. "The later in childhood that the second language is acquired, the greater are the changes in the inferior frontal cortex," said Dr. Denise Klein, researcher in The Neuro's Cognitive Neuroscience Unit and a lead author on the paper published in the journal Brain and Language. "Our results provide structural evidence that age of acquisition is crucial in laying down the structure for language learning."

Some people seem to pick up a second language with relative ease, while others have a much more difficult time. Now, a new study suggests that learning to understand and read a second language may be driven, at least in part, by our ability to pick up on statistical regularities. Some research suggests that learning a second language draws on capacities that are language-specific, while other research suggests that it reflects a more general capacity for learning patterns. According to psychological scientist and lead researcher Ram Frost of Hebrew University, the data from the new study clearly point to the latter: "These new results suggest that learning a second language is determined to a large extent by an individual ability that is not at all linguistic," says Frost. In the study, Frost and colleagues used three different tasks to measure how well American students in an overseas program picked up on the structure of words and sounds in Hebrew. The students were tested once in the first semester and again in the second semester. The students also completed a task that measured their ability to pick up on statistical patterns in visual stimuli. The participants watched a stream of complex shapes that were presented one at a time. Unbeknownst to the participants, the 24 shapes were organized into 8 triplets -- the order of the triplets was randomized, though the shapes within each triplet always appeared in the same sequence. After viewing the stream of shapes, the students were tested to see whether they implicitly picked up the statistical regularities of the shape sequences.

This article talks about a face all humans make, the "not face." It combines the 3 emotions of anger, disgust, and contempt. It not only shows that we are able to express complex emotions, but also how the "not face" is closely tied to language. In ASL speakers, the sign for "not" is also replaced with the negative expression. This article also highlights how facial expression affects language and that there could be more facial expressions like grammatical markers.

Neuroimaging studies suggest that sign languages are complex linguistic systems processed much like spoken languages, even though they're gestural/visual, not oral. Wernicke's area activates when perceiving sign language; Broca's when producing sign language. In deaf people, lesions in left hemisphere "speech centres" like Broca's and Wernicke's areas produced significantly more sign errors on naming, repetition and sentence-comprehension tasks than signers with damaged right hemispheres.

This article talks about how even though learning how to program a computer seems like learning a new language, computer language is actually processed through a different area of the brain than when language is processed. It says that it activates the multiple demand network, which is also activated by complex cognitive tasks such as solving math problems or crossword puzzles. However, it appears to rely on different parts of the network than math or logic problems do, which suggests that coding does not precisely replicate the cognitive demands of mathematics either. The article says that researchers didn't find any regions that appear to be exclusively devoted to programming. They also suggest that understanding computer code cannot be categorized as a language-based or math-based skill. Instead, they think it might require a combination of both skills, even though the brain regions don't reflect it.

This MIT Technology Review article notes that while Artificial Intelligence has experienced many sophisticated advances, one fundamental capability remains elusive: language. Systems like Siri and IBM's Watson can follow simple spoken or typed commands and answer basic questions, but they can't hold a conversation and have no real understanding of the words they use. In addition, humans, unlike machines, have the ability to learn very quickly from a relatively small amount of data and have a built-in ability to model the world in 3-D very efficiently. Programming machines to comprehend and generate language is a complex task, because the machines would need to mimic human learning, mental model building, and psychology. As MIT cognitive scientist Josh Tenenbaum states, "Language builds on other abilities that are probably more basic, that are present in young infants before they have language: perceiving the world visually, acting on our motor systems, understanding the physics of the world or other agents' goals." ­ If he is right, then it will be difficult to re-create language understanding in machines and AI systems without trying to mimic human learning, mental model building, and psychology.

A Johns Hopkins study found that damage to a key structure in the brain may explain why some stroke patients can't perceive sarcasm. Researchers looked at 24 people who had experienced a stroke in the right hemispheres of their brains. Those with damage to the right sagittal stratum tended to have trouble recognizing sarcasm, the researchers found. This bundle of neural fibers connects a number of brain regions, including those that process auditory and visual information. Sarcasm can be hard to interpret; it's a complex way to communicate. First, the person has to 1. understand the literal meaning of what someone says 2. detect the components of sarcasm: a wider range of pitch, greater emphatic stress, briefer pauses, lengthened syllables and intensified loudness relative to sincere speech "There're a number of cues people use, and it's both facial cues and tone of voice," noted Dr. Argye Hillis, a professor of neurology at Johns Hopkins University School of Medicine.

Straddling the imaginary border between the Balkans and Central Europe, Slovenia is home to two million citizens united by a common language. But this wasn't always the case. For about six hundred years, the Slovene lands were the domain of the Habsburgs, with the occasional appearance by the French, Italians, Hungarians, and Serbs. The Slovene language-and with it the core of Slovene identity-should by all rights have disappeared long ago, subsumed by the much stronger languages and political powers surrounding it. The language survived thanks to the efforts of many people, from the 16th-century protestants who first wrote it down to the 18th- and 19th-century intellectuals who coaxed it out of the church and spread it among the people. Among their arsenal of weapons: a cookbook, wielded by one relentlessly determined priest, Valentin Vodnik. Vodnik was a man of boundless energy, curiosity, and drive: Besides his work as a priest and later a high-school teacher and headmaster, he was fluent in half a dozen languages, wrote some of the first Slovene poetry, published the first Slovene newspaper, and began corresponding with intellectuals in Slovene. Vodnik's mission was popularizing and elevating the reputation of the language at a time when educated Slovenes mostly spoke German, considering their native tongue to be the vernacular of poor illiterate farmers, unfit for polite society and incapable of expressing complex ideas.

Tetsuro Matsuzawa, a Japanese primatologist, has spent 30 years studying our closest primate relative, the chimpanzee, to better understand the human mind. Here are some key takeaways: -Captive chimps can learn sign language or other communication techniques. They also can string together the symbols or gestures for words in simple "Me Tarzan, You Jane" combinations. -The animals use pant-hoots, grunts and screams to communicate. -In decades of ape language experiments, the chimpanzees have never demonstrated a human's innate ability to learn massive vocabularies, embed one thought within another or follow a set of untaught rules called grammar. So yes, chimpanzees can learn words. But so can dogs, parrots, dolphins and even sea lions. Words do not language make. Chimpanzees may well routinely master more words and phrases than other species, but a 3-year-old human has far more complex and sophisticated communication skills than a chimpanzee. "I do not say chimpanzees have language," Matsuzawa stresses. "They have language-like skills." -Monkeys can learn to use tools and do utilize tools, but there doesn't seem to be signs of them "teaching" each other these skills: it's more of a watch, then do situation.

This article talks about the several different types of language learning methods and the different types of language learners. They start from basic methods to more complex ones and integrate different methods together. This is all to take into account pronunciation, grammar rules, speaking and writing skills, and vocabulary and best course of options to find it.