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Skepticism of online "news" serves as a decent filter much of the time, but our innate biases allow it to be bypassed, researchers have found - especially when presented with the right kind of algorithmically selected "meme." At a time when political misinformation is in ready supply, and in demand, "Facebook, Google, and Twitter function as a distribution mechanism, a platform for circulating false information and helping find receptive audiences," said Brendan Nyhan, a professor of government at Dartmouth College (and occasional contributor to The Times's Upshot column). Why? Here are the key reasons: 1. Individual bias/first impressions: subtle individual biases are at least as important as rankings and choice when it comes to spreading bogus news or Russian hoaxes. Merely understanding what a news report or commentary is saying requires a temporary suspension of disbelief. Mentally, the reader must temporarily accept the stated "facts" as possibly true. A cognitive connection is made automatically: Clinton-sex offender, Trump-Nazi, Muslim men-welfare. And refuting those false claims requires a person to first mentally articulate them, reinforcing a subconscious connection that lingers far longer than people presume.Over time, for many people, it is that false initial connection that stays the strongest, not the retractions or corrections. 2. Repetition: Merely seeing a news headline multiple times in a news feed, even if the news is false, makes it seem more credible. 3. People tend to value the information and judgments offered by good friends over all other sources. It's a psychological tendency with significant consequences now that nearly two-thirds of Americans get at least some of their news from social media.

Not everyone who speaks English is treated the same way. What happens when accent discrimination creeps in to our conscious and unconscious - and what do we do about our biases?

A really interesting study combining linguistics and behavioral economics. "To judge a risk more clearly, it may help to consider it in a foreign language: A series of experiments on more than 300 people from the U.S. and Korea found that thinking in a second language reduced deep-seated, misleading biases that unduly influence how risks and benefits are perceived."

This is the second part of the article about political mass communication. It mostly deals with things like collocations, fill-ins, and framing. Collocations are words that are often used with others and so carry a particular connotations because of their association. For example, calling someone a rabid feminist vs. calling them a radical feminist would suggest more danger and wildness because of the use of the word rabid. Fill-ins refer to the use of deliberately obfuscating or vague language which encourages the listeners to respond by filling-in the gaps with their own preconceived notions or biases and can be a helpful persuasive tool. For example, saying something like, "they want to control you." The "they" here is vague and thus allows the listener to fill in with whatever they want. The article also touches on doublespeak and the use of euphemisms to refer to unpleasant topics (George W. Bush and enhanced interrogation anyone?). Framing, more broadly refers to the use of these tactics to get listeners to interpret the speech in certain ways favorable to the speaker.

A new study shows how certain ideas are still deeply ingrained the public's minds as masculine. For example, most of the public associates the president with a man. In fact, the study showed that when articles or people used "her" or feminine pronouns people's reading times increased because of the confusion caused in their brain. Many people don't use "she" when referring to a hypothetical president. The way that language can sometimes gender certain occupations has some important implications. That is why many states and representatives are trying to change the language to make it more inclusive. For example, Kamala Harris, when she was California's attorney general, and changed all the wording of the statutes that referred to the attorney general as a man. This is because gendering occupations can lead to an ingrained bias. However, with more women in politics, biases could change. For example, in UK, where there have been 2 female prime ministers, the study was replicated and it was found that people were comfortable using "she" or "her" when stating the next prospective prime minister.

Computer programs often reflect the biases of their very human creators. That's been well established. The question now is: How can we fix that problem? Adam Kalai thinks we should start with the bits of code that teach computers how to process language.

The following article explores language as a cultural, social, and psychological phenomenon. Why is it that a seemingly harmful sentence can create stereotypes or biases? How does language change the way we perceive ourselves, others, and the world? Can different language patterns indicate something about our behavior? These are some topics regarded in this text, as well as the overarching theme of how words shape us and our lives.

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 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.