Category Archives: Human Behavior

Artificial Intelligence versus humans, who will win? – YourStory.com

Artificial Intelligence is a computer program of a higher order and nothing else.

When I saw men fighting off a sinister takeover attempt by machines in Terminator 2- The Judgment Day, 25 years ago, I laughed it off, even though I enjoyed the thrill of the movie.

Man versus machine is probably the second best bogey after God versus Lucifer eternal battle.

Of course, we all want the man to win. We cant imagine ourselves serving some metal bodies, after all. But there may be some among us who are still wondering if the consequences of AI would eventually lead us there.

Recently, a senior manager in analytics in one my client companies, a very large business house indeed, was infatuated with the idea that AI can eventually take over human intelligence. That was surprising because he is not a teenager looking for cheap excitement or someone who does not know what analytics is about.

In fact, he has a pedigree of working for one of the largest analytics companies in the world before he joined my client company. Until now, I thought this idea is for Hollywood filmmakers who are short on creativity. But I think it is better to put this into right perspective as folks are churning enormous hype about AI, confusing everyone as usual.

AI means different things to different people. Some visualise machines working for their own purposes like in Terminator movies. Others imagine something like Watson that is so intelligent that it has solutions to all kinds of problems of mankind. Yet, to some data scientists, it means a piece of python code or a software package which they can run every day to earn a living.

But we can broadly divide AI into two streams: Generalised AI, which we call as Machine Learning (ML) and Applied AI, which focuses on replicating human behavior, such as making robots.

In either of the cases, it is a computer program of a higher order and nothing else!

Let me explain. In programming, we define what a program has to do. We then input data and get an output. We look at the output and if its not satisfactory enough, we go and correct the program. Now, what if, the program itself can look at the output and improve for itself? That is MLor generalised AI. But how does it do that?

Suppose you want to guess the next product a customer is going to buy on Amazon or anywhere else based on her activity until now. If you are a predictive modeler from econometric school, you would want to look at all historical data and find out the factors that determine a customers behavior and use that learning to predict what this customer would do now in the near future.

In reality, these factors can be anything. It can be demographic factors such as her age, marital status, location, education, or occupation. Or it can be the offers of competing products available at that point in time. Or let us say, even the weather influencing her buying behavior, or just that she is frustrated with the results of the American presidential elections. And, lets not forget the influence of her boyfriend on her buying moods?

As we can see, the possibilities are many. And if we consider further possibilities of all the interactions of these different factors among themselves, which means each factor having a partial influence by itself and a combined influence along with some other factors, then the combinations become unmanageable to human attention.

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Artificial Intelligence versus humans, who will win? - YourStory.com

Scientists identify link between gut microbiota and mood, behavior – News-Medical.net

June 29, 2017

FINDINGS

Researchers have identified gut microbiota that interact with brain regions associated with mood and behavior. This may be the first time that behavioral and neurobiological differences associated with microbial composition in healthy humans have been identified.

BACKGROUND

Brain-gut-microbiota interactions may play an important role in human health and behavior. Previous research suggests that microbiota, a community of microorganisms in the gut, can influence behavior and emotion. Rodent models have demonstrated the effects of gut microbiota on emotional and social behaviors, such as anxiety and depression. There is, however, little evidence of this in humans.

For this study the researchers sought to identify brain and behavioral characteristics of healthy women clustered by gut microbiota profiles.

METHOD

Forty women supplied fecal samples for profiling, and magnetic resonance images were taken of their brains as they viewed images of individuals, activities or things that evoked emotional responses. The women were divided by their gut bacteria composition into two groups: 33 had more of a bacterium called Bacteroides; the remaining seven had more of the Prevotella bacteria. The Bacteroides group showed greater thickness of the gray matter in the frontal cortex and insula, brain regions involved with complex processing of information. They also had larger volumes of the hippocampus, a region involved in memory processing. The Prevotella group, by contrast, showed more connections between emotional, attentional and sensory brain regions and lower brain volumes in several regions, such as the hippocampus. This group's hippocampus was less active while the women were viewing negative images. They also rated higher levels of negative feelings such as anxiety, distress and irritability after looking at photos with negative images than did the Bacteroides group.

IMPACT

These results support the concept of brain-gut-microbiota interactions in healthy humans. Researchers do not yet know whether bacteria in the gut influence the development of the brain and its activity when unpleasant emotional content is encountered, or if existing differences in the brain influence the type of bacteria that reside in the gut. Both possibilities, however, could lead to important changes in how one thinks about human emotions.

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Scientists identify link between gut microbiota and mood, behavior - News-Medical.net

Anind K. Dey named dean of the UW’s Information School – UW Today

Administrative affairs | Education | For UW employees | News releases

June 29, 2017

Anind K. Dey has been named dean of the Information School at the University of Washington, President Ana Mari Cauce and Provost Jerry Baldasty announced this week. Dey comes to the UW from Carnegie Mellon University School of Computer Science, where he is the Charles M. Geschke professor and director of the Human-Computer Interaction Institute. His appointment is subject to approval by the UW Board of Regents.

Anind K. Dey

Anind brings great knowledge, insight and experience to the iSchool and the UW, Baldasty said. We are confident that he will build on the remarkable work by Dean Emeritus Mike Eisenberg and Dean Harry Bruce, whose combined vision and leadership has helped make the iSchool one of the premier schools of its kind in the country.

Bruce announced earlier this year his decision to step down as dean. This spring, U.S. News & World Report ranked the iSchool second among U.S. masters degree programs in library and information science.

In his research, Dey uses everyday technology (worn, carried and embedded in the environment) to develop tools and techniques for understanding and modeling human behavior, primarily within the areas of health, transportation, sustainability and education. Some of his work has involved using sensors to collect information on the activities of older people that could be used to better personalize their health care.

Dey has been a professor at Carnegie Mellon since 2005. He has also held positions at Intel Research in Berkeley from 2001 to 2004, and at the University of California, Berkeley, from 2002 to 2005.

Anind earned his bachelors degree in computer engineering from Simon Fraser University in Canada. He holds two masters degrees from the Georgia Institute of Technology one in aerospace engineering and one in computer science. He received his Ph.D. in computer science, also from the Georgia Institute of Technology.

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Anind K. Dey named dean of the UW's Information School - UW Today

Scanalytics wins Cisco award – BizTimes.com (Milwaukee)

Milwaukee-based startup Scanalytics Inc. has earned a top award from technology giant Cisco in an IoT for Business development competition.

Joe Scanlin and Matt McCoy founded Milwaukee startup Scanalytics.

Scanalytics, which developed smart flooring technology, earned a first place in the Best Smart Building technology category in the contest, which was held this month at Viva Technology 2017 in Paris. More than 5,000 startups and 68,000 people attended Viva Technology.

Scanalytics has developed a sensor-based engagement and analytics platform that monitors human behavior through foot traffic and predictive analytics. Among the uses the company has tested are retail product sales, in which a salesperson could be alerted if a customer is standing near a product, and business conferences, in which organizers can track booth traffic. The company deployed sensors to more than 100 clients globally in 2016.

Cisco and Scanalytics have now collaborated to create a new use for the smart flooring technology. Joe Scanlin, chief executive officer of Scanalytics, and Petr Bambasek, director of product, worked with Cisco engineers to link its technology to Ciscos Spark cloud collaboration program.

The team created a product through which a chat bot pulls data from Scanalytics application programming interface in real time, and communicates it to a buildings occupants via Spark. Among the potential uses was sending a reminder to employees to get up and move during the work day, and to inform building maintenance staff whether a bathroom needs cleaning based on usage.

We spend a majority of our lives indoors and these environments have a huge impact on everything from business efficiencies and productivity to our overall wellness, Scanlin said.Physical environments need to be properly equipped to capture, store and access information on how we interact with them, so they can operate like an autonomous nervous system and adjust themselves accordingly.

Milwaukee-based startup Scanalytics Inc. has earned a top award from technology giant Cisco in an IoT for Business development competition.

Joe Scanlin and Matt McCoy founded Milwaukee startup Scanalytics.

Scanalytics, which developed smart flooring technology, earned a first place in the Best Smart Building technology category in the contest, which was held this month at Viva Technology 2017 in Paris. More than 5,000 startups and 68,000 people attended Viva Technology.

Scanalytics has developed a sensor-based engagement and analytics platform that monitors human behavior through foot traffic and predictive analytics. Among the uses the company has tested are retail product sales, in which a salesperson could be alerted if a customer is standing near a product, and business conferences, in which organizers can track booth traffic. The company deployed sensors to more than 100 clients globally in 2016.

Cisco and Scanalytics have now collaborated to create a new use for the smart flooring technology. Joe Scanlin, chief executive officer of Scanalytics, and Petr Bambasek, director of product, worked with Cisco engineers to link its technology to Ciscos Spark cloud collaboration program.

The team created a product through which a chat bot pulls data from Scanalytics application programming interface in real time, and communicates it to a buildings occupants via Spark. Among the potential uses was sending a reminder to employees to get up and move during the work day, and to inform building maintenance staff whether a bathroom needs cleaning based on usage.

We spend a majority of our lives indoors and these environments have a huge impact on everything from business efficiencies and productivity to our overall wellness, Scanlin said.Physical environments need to be properly equipped to capture, store and access information on how we interact with them, so they can operate like an autonomous nervous system and adjust themselves accordingly.

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Scanalytics wins Cisco award - BizTimes.com (Milwaukee)

Facebook Makes a Step Towards Messenger Monetization – nwitimes.com

In order for Messenger to take off financially, Facebook (NASDAQ: FB) needs to "get a lot of businesses using it organically and build the behavior for people that they reach out to businesses for different things," according to CEO Mark Zuckerberg on the last earningscall. Therein lies the real opportunity for Messenger to transform the way that consumers interact with companies.

Earlier this year at its F8 developer conference, Facebook announced a new Discover section for Messenger, which is intended to showcase "amazing experiences" for people and businesses. Yesterday, the social network announced that the Discover section is now rolling out across the U.S. There are different types of things in Discover, like reading articles or getting sports news, but by far the most meaningful from an investing perspective is the potential to introduce users to branded chatbots.

Changing established human behaviors is hard, but there's been a growing trend of users turning to social media to reach customer support. That movement mostly started on Twitter (NYSE: TWTR), but Facebook has a real opportunity here to steal the show and run with it, particularly when it comes to creating a business out of the trend.

When this shift starting nearly a decade ago, there was speculationthat Twitter would start charging businesses that were using its service for customer service. Co-founder Biz Stone penned a blog post shooting down the idea, promising that Twitter would remain free for all accounts (corporate accounts or dedicated support accounts) with existing services. At the time, the company was still trying to brainstorm new services that it could offer companies for a fee, but Stone (who just recently returned to Twitter) said Twitter had no announcements to make then. There is now a small "Provides support" indicator next to official support accounts, but that's about it. Indirectly, support accounts may garner some user data from their interactions that could perhaps be used for ad targeting.

In the years since, Twitter has touted itself as an effective customer service platform -- examples here and here -- but has not announced any new revenue-generating products, which is a huge missed opportunity considering the simple fact that there's always more money in enterprise offerings than consumer ones. So while Twitter has seemingly hit a wall in terms of monetizing the growing trend of social media-based customer service, Facebook not only has an opportunity to become a leader, it also has a more viable route to monetization.

What's less clear is if Facebook is currently charging companies a fee to be included in the new Discover section. Considering how new it is, it wouldn't make much sense to charge. In His Zuckness' words, building that behavior is "the first thing that we need to do on Messenger and WhatsApp." Sending a message directly to a company is but a small behavioral step from tweeting at a company.

Automation has long been the hardest part about scaling up customer service for any organization. The chatbots that Facebook has been developing hope to solve that conundrum once and for all, much to the dismay of the roughly 2.7 million customer service representatives in the U.S. (as of May 2016, accordingto the Bureau of Labor Statistics) that could see their jobs threatened by chatbots.

Rudimentary chatbots have been around for decades, since the dawn of computing in the '50s and '60s. You've probably heard of the Turing test. The big difference between then and now is that the modern generation of chatbots hopes to carry conversations that are more organic and intuitive. They need to be able to follow conversations, understand context, and more. This is no easy task: Facebook's chatbot failure rate was recently estimated at 70%. Let's also not forget Microsoft's experimental chatbot Tay from last year, which was immediately commandeered into a genocidal, racist, sexist murderbot by Twitter trolls.

These are the two critical pieces to this puzzle: Facebook needs to both build up the consumer behavior while tackling the technical challenge of creating compelling chatbots for companies to use. Neither one is easy, but Facebook can work on both concurrently. Importantly, Facebook is not under financial pressure, since its core ad business is booming and shares are trading at all-time highs. Facebook can take its time to make sure it executes. You can't say the same about Twitter.

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Facebook Makes a Step Towards Messenger Monetization - nwitimes.com

Documentary ‘Food Evolution’ turns to reason to discuss GMO controversy – Los Angeles Times

Calm, careful, potentially revolutionary, "Food Evolution" is an iconoclastic documentary on a hot-button topic. Persuasive rather than polemical, it's the unusual issue film that deals in counterintuitive reason rather than barely controlled hysteria.

As directed by Scott Hamilton Kennedy, "Food Evolution" wades into the controversy that makes the term GMO (genetically modified organisms) what Jon Stewart once called "the three most terrifying letters in the English language."

For what right-thinking citizen hasn't quailed at the thought of armies of artificially conceived zombie fruits and vegetables marching in lockstep under the command of monster corporation Monsanto until they take over the world.

As environmental activist Mark Lynas says, "its difficult to pay Monsanto a compliment. It's like praising witchcraft."

But taking as his theme a quote attributed to Mark Twain that posits, "It's easier to fool people than to convince them they have been fooled," filmmaker Kennedy wants us to consider the notion that much of what we feel about GMOs may be wrong.

Previously responsible for the splendid "OT: Our Town" and the Oscar-nominated "The Garden," about the plight of a 14-acre community garden in South Los Angeles, Kennedy is a veteran documentarian.

Here he's engaged the mellifluous voice of science celebrity Neil deGrasse Tyson as narrator and made sure to talk to people on both sides of the issue, partisans who, ironically, all have the same goal: safe, abundant food for everyone without the use of excessive toxic chemicals.

It is in fact the question of how to feed the staggering amount of people in the world more than 7 billion now, 9 billion by 2050 that was one of the stimuli that started Kennedy on this project. And he wants you to remember that trying to modify plants to emphasize desirable aspects is something farmers have been doing for a long time.

"Food Evolution" begins in Hawaii in 2013 when the big island's Hawaii County Council held hearings on whether to make the location into the world's first GMO-free zone.

That was ironic because Hawaii turns out to be a state with a major GMO success story, the rainbow papaya, which enabled papaya farming to come back from the dead after a devastating attack of disease in the 1990s.

While anti-GMO activists like Jeffrey Smith talk darkly of GMOs as "thoughtless, invasive species," the other side wrings its hands about pervasive doomsday tactics and distrust of scientific data.

"It's so much easier to scare people than reassure them," says writer Mark Lynas, with food authority Michael Pollan adding, "I don't believe fear-mongering has helped. I'm careful never to say GMOs are dangerous."

One statistic the film cites reveals the considerable gap 88% versus 37% between what scientists and laypeople say about whether GMOs are safe to eat.

"Food Evolution" takes time to carefully parse several issues that arise in the debate, like tumors in rats who eat GMO food (they get tumors no matter what they eat) and poundage versus toxicity in pesticide use.

The film also emphasizes that decisions made in the developed world can have global implications, exploring difficulties farmers in Uganda are having gaining access to the GMO bananas they want to combat decimation by disease.

"Food Evolution" certainly understands the larger factors that put GMO foods in the crosshairs: societal fury at corporate lying and greed, and distrust of Monsanto in particular as the developer of DDT and Agent Orange.

But finally the film is more troubled by the erosion of trust in science and by anti-GMO activists like Zen Honeycutt who says on camera that she trusts personal experiences of mothers more than the conclusions of scientists. As writer Lynas says, "If you throw science out, there is nothing."

Though it ultimately sides with the pro-GMO camp, "Food Evolution" makes some fascinating points about human behavior along the way, about how we don't make decisions based on facts as often as we think we do. This documentary may not change your mind, but it will make you consider what caused you to decide in the first place.

-------------

Food Evolution

Not rated

Running time: 1 hour, 32 minutes

Playing: Laemmle Monica, Santa Monica

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kenneth.turan@latimes.com

@KennethTuran

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Documentary 'Food Evolution' turns to reason to discuss GMO controversy - Los Angeles Times

Want to understand Russia’s economy? Try reading Tolstoy. – Marketplace.org

ByDavid Brancaccio

June 28, 2017 | 5:00 AM

Economics is fundamentally the study of human behavior. Yes, it's steeped in equations and math, but some argue it's equally based on philosophy and the arts. A new book by Morton Schapiro and Gary Saul Morson looks at what insight economists can gain from reading classic literature.

Northwestern University President Morton Schapiro joined Marketplace Morning Report host David Brancaccio to discuss Cents and Sensibility: What Economics Can Learn from the Humanities.

Click on the audio player above to hear their conversation.

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Want to understand Russia's economy? Try reading Tolstoy. - Marketplace.org

A leading Silicon Valley engineer explains why every tech worker needs a humanities education – Quartz

In 2005, the late writer David Foster Wallace delivered a now-famous commencement address. It starts with the story of the fish in water, who spend their lives not even knowing what water is. They are naively unaware of the ocean that permits their existence, and the currents that carry them.

The most important education we can receive, Wallace goes on to explain, isnt really about the capacity to think, but rather about the choice of what to think about. He talks about finding appreciation for the richness of humanity and society. But it is the core concept of meta-cognition, of examining and editing what it is that we choose to contemplate, that has fixated me as someone who works in the tech industry.

As much as code and computation and data can feel as if they are mechanistically neutral, they are not. Technology products and services are built by humans who build their biases and flawed thinking right into those products and serviceswhich in turn shapes human behavior and society, sometimes to a frightening degree. Its arguable, for example, that online medias reliance on clickbait journalism, and Facebooks role in spreading fake news or otherwise sensationalized stories influenced the results of the 2016 US presidential election. This criticism is far from outward-facing; it comes from a place of self-reflection.

I studied engineering at Stanford University, and at the time I thought that was all I needed to study. I focused on problem-solving in the technical domain, and learned to see the world through the lens of equations, axioms, and lines of code. I found beauty and elegance in well-formulated optimization problems, tidy mathematical proofs, clever time- and space-efficient algorithms. Humanities classes, by contrast, I felt to be dreary, overwrought exercises in finding meaning where there was none. I dutifully completed my general education requirements in ethical reasoning and global community. But I was dismissive of the idea that there was any real value to be gleaned from the coursework.

Upon graduation, I went off to work as a software engineer at a small startup, Quora, then composed of only four people. Partly as a function of it being my first full-time job, and partly because the company and our producta question and answer sitewas so nascent, I found myself for the first time deeply considering what it was that I was working on, and to what end, and why.

As my teammates and I were building Quora, we were also simultaneously defining what it should be, whom it would serve, and what behaviors we wanted to incentivize amongst our users.I was no longer operating in a world circumscribed by lesson plans, problem sets and programming assignments, and intended course outcomes. I also wasnt coding to specs, because there were no specs. As my teammates and I were building the product, we were also simultaneously defining what it should be, whom it would serve, what behaviors we wanted to incentivize amongst our users, what kind of community it would become, and what kind of value we hoped to create in the world.

]I still loved immersing myself in code and falling into a state of flowthose hours-long intensive coding sessions where I could put everything else aside and focus solely on the engineering tasks at hand. But I also came to realize that such disengagement from reality and societal context could only be temporary.

The first feature I built when I worked at Quora was the block button. Even when the community numbered only in the thousands, there were already people who seemed to delight in being obnoxious and offensive. I was eager to work on the feature because I personally felt antagonized and abused on the site (gender isnt an unlikely reason as to why). As such, I had an immediate desire to make use of a blocking function. But if I hadnt had that personal perspective, its possible that the Quora team wouldnt have prioritized building a block button so early in its existence.

Our thinking around anti-harassment design also intersected a great deal with our thinking on free speech and moderation. We pondered the philosophical questionalso very relevant to our productof whether people were by default good or bad. If people were mostly good, then we would design the product around the idea that we could trust users, with controls for rolling back the actions of bad actors in the exceptional cases. If they were by default bad, it would be better to put all user contributions and edits through approvals queues for moderator review.

We pondered the philosophical questionalso very relevant to our productof whether people were by default good or bad.We debated the implications for open discourse: If we trusted users by default, and then we had an influx of low quality users (and how appropriate was it, even, to be labeling users in such a way?), what kind of deteriorative effect might that have on the community? But if we didnt trust Quora members, and instead always gave preference to existing users that were known to be high quality, would we end up with an opinionated, ossified, old-guard, niche community that rejected newcomers and new thoughts?

In the end, we chose to bias ourselves toward an open and free platform, believing not only in people but also in positive community norms and our ability to shape those through engineering and design. Perhaps, and probably, that was the right call. But weve also seen how the same bias in the design of another, pithier public platform has empowered and elevated abusers, harassers, and trolls to levels of national and international concern.

At Quora, and later at Pinterest, I also worked on the algorithms powering their respective homefeeds: the streams of content presented to users upon initial login, the default views we pushed to users. It seems simple enough to want to show users good content when they open up an app. But what makes for good content? Is the goal to help users to discover new ideas and expand their intellectual and creative horizons? To show them exactly the sort of content that they know they already like? Or, most easily measurable, to show them the content theyre most likely to click on and share, and that will make them spend the most time on the service?

It worries me that so many of the builders of technology today are people who havent spent time thinking about these larger questions.Ruefullyand with some embarrassment at my younger selfs condescending attitude toward the humanitiesI now wish that I had strived for a proper liberal arts education. That Id learned how to think critically about the world we live in and how to engage with it. That Id absorbed lessons about how to identify and interrogate privilege, power structures, structural inequality, and injustice. That Id had opportunities to debate my peers and develop informed opinions on philosophy and morality. And even more than all of that, I wish Id even realized that these were worthwhile thoughts to fill my mind withthat all of my engineering work would be contextualized by such subjects.

It worries me that so many of the builders of technology today are people like me; people havent spent anywhere near enough time thinking about these larger questions of what it is that we are building, and what the implications are for the world.

But it is never too late to be curious. Each of us can choose to learn, to read, to talk to people, to travel, and to engage intellectually and ethically. I hope that we all do soso that we can come to acknowledge the full complexity and wonder of the world we live in, and be thoughtful in designing the future of it.

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A leading Silicon Valley engineer explains why every tech worker needs a humanities education - Quartz

W(h)ither the Humanities? – HuffPost

Review of Cents and Sensibility: What Economics Can Learn From the Humanities. By Gary Saul Morson and Morton Schapiro. Princeton University Press. 307 pp. $29.95

Although they make lots of mistakes, economists are in demand. By contrast, the humanities are in deep trouble. In 2014, President Obama opined that folks can make a lot more with skilled manufacturing or the trades than they might with an art history degree. A year later, Jeb Bush acknowledged that liberal arts is a great thing, only to remind potential philosophy majors to realize youre going to be working at Chick fil-A.

More and more college students seem to agree. In the late 1960s, almost twenty percent of recipients of bachelors degrees majored in in a humanities discipline; in 2010, the figure was 8 percent. Little wonder that many taxpayers and state legislators have concluded that philosophy, literature, linguistics, history, art history, anthropology, and gender studies are luxuries we can no longer afford.

In Cents and Sensibility, Gary Morson, a professor of Slavic languages and literature at Northwestern University, and Morton Schapiro, a professor of economics and the president of Northwestern, maintain that humanistic disciplines contribute essential ingredients (the role of contingency and context and the limitations of abstract one-size-fits-all models) to studies of human behavior and the complex challenges of our time. In this book, Morson and Schapiro identify concrete ways in which economists studying higher education, the family, and the development of poor countries can benefit from three fundamental humanistic capabilities: an appreciation of people as inherently cultural; stories as an essential form of explanation; and ethics in all its irreducible complexity.

Cents and Sensibility offers one argument, among many, on behalf of the humanities. Their argument is often, but not always persuasive. That said, the authors call for a dialogue between economists and humanists is welcome. Their indictment of humanists for being spectacularly inept and clueless in making the case for their disciplines is urgently necessary. As is their claim that quantitative rigor and focus on policy can and should be supplemented with the empathy, judgment and wisdom that defines the humanities at their best.

The authors use fresh and fascinating examples to bolster the oft-repeated claim that ethical considerations should be incorporated into the analysis of economists and policy makers. To bolster the standing of their institutions in the highly influential national rankings of colleges and institutions, Morson and Schapiro point out, some administrators cross ethical lines. To increase the yield (the percentage of accepted students who matriculate), they reject excellent students who they have reason to believe will go elsewhere. They count students who send in a postcard expressing interest (but dont submit essays and recommendations) as applicants. They ignore the standardized test scores of international students in English, but include scores in mathematics. They cook the books about the percentage of alumni who make an annual gift to their alma mater. Worst of all, Morson and Schapiro report that rating agencies do not fact-check the data provided by colleges and universities.

Cents and Sensibility also documents the failure of rational choice and behavioral economists and psychologists to consider the culture, traditions, and values of the people they are investigating. Although cultural evidence cannot be quantified, Morson and Schapiro show how it helps explain why such a small percentage of African-American students with high grade point averages and test scores do not attend selective colleges and universities (even when they are offered financial aid).

While acknowledging that income and family backgrounds are important variables in predicting decisions about marriage, divorce, and family planning, the authors make a compelling case that social and cultural context matters as well.

In important respects, Cents and Sensibility reminds us of the capaciousness of the humanities. A recent study, the authors reveal, found that readers of fiction did better on tests measuring empathy, social perception, and emotional intelligence. One reason, Morson and Schapiro suggest, is that fiction, more than real life, connects inner states to outward behavior, and encourages intimacy between characters and readers.

In other ways, however, Cents and Sensibility provides a rather narrow view of the humanities. Although Morson and Schapiro put culture front and center, they barely mention the discipline of history. They limit their discussion of literature to realistic novels. They do not emphasize sufficiently the unique capacity of the humanities to teach students how to analyze texts, conduct research, and write clear and persuasive essays.

Despite these caveats, Cents and Sensibility sends a powerful and timely message. The humanities, the authors conclude, if humanists will only believe in them, have a critical role to play in education, nurturing in students of all ages truths about human beings other disciplines have not attained, a respect for diverse points of view, culture, and ethics, and an escape from the prison house of self, limitations of time and place.

The humanities are in danger. Americans inside and outside the academy need to act before its too late.

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W(h)ither the Humanities? - HuffPost

Why Fake News Goes Viral: Science Explains – Live Science

People's limited attention spans, plus the sheer overloadof information on social media may combine to make fake news and hoaxes go viral, according to a new study.

Understanding why and how fake news spreads may one day help researchers develop tools to combat its spread, the researchers said.

For example, the new research points toward curbing the use of social bots computer programs that automatically generate messages such as tweets that inundate social media with low-quality information to prevent the spread of misinformation, the researchers said. [Our Favorite Urban Legends Debunked]

However, "Detecting social bots is a very challenging task," said study co-author Filippo Menczer, a professor of informatics and computer science at the Indiana University School of Informatics and Computing.

Previous research has shown that some of people's cognitive processes may help to perpetuate the spread of misinformation such as fake news and hoaxes, according to the study, published today (June 26) in the journal Nature Human Behavior. For example, people tend to show "confirmation bias" and pay attention to and share only the information that is in line with their beliefs, while discarding information that is not in line with their beliefs. Studies show that people do this even if the information that confirms their beliefs is false.

In the new study, the researchers looked at some other potential mechanisms that may be at play in spreading misinformation. The researchers developed a computer model of meme sharing to see how individual attention and the information load that social media users are exposed to affect the popularity of low-quality versus high-quality memes. The researchers considered memes to be of higher quality if they were more original, had beautiful photos or made a claim that was true.

The investigators found that low- and high-quality memes were equally likely to be shared because social media users' attention is finite and people are simply too overloaded with information to be able to discriminate between low- and high-quality memes. This finding explains why poor-quality information such as fake news is still likely to spread despite its low quality, the researchers said.

One way to help people better discriminate between low- and high-quality information on social media would be to reduce the extent of information load that they are exposed to, the researchers said. One key way to do so could involve decreasing the volume of social media posts created by social bots that amplify information that is often false and misleading, Menczer said.

Social bots can act as followers on social media sites like Twitter, or they can be run as fake social media accounts that have their own followers. The bots can imitate human behavior online and generate their own online personas that can in turn influence real, human users of social media. [25 Medical Myths that Just Won't Go Away]

"Huge numbers" of these bots can be managed via special software, Menczer said.

"Ifsocialmedia platforms were able to detect and suspend deceptive socialbots there would be less low-quality information in the system to crowd out high-quality information," he told Live Science.

However, both detecting and suspending such bots is challenging, he said. Although machine-learning systems for detecting social bots exist, these systems are not always accurate. Socialmedia platforms have to be conservative when using such systems, because the cost of a false positive error in other words, suspending a legitimate account is generally much higher than that of missing abot, Menczer said.

More research is needed to design fast and more accurate social bot detection systems, he said.

Originally published on Live Science.

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Why Fake News Goes Viral: Science Explains - Live Science