Predicting riots using social media

In addition to the identified factors from research coming out of the 1960s and 1970s, one sociologist suggests social media activity can show how riots and protests spread:

The most promising method of “predicting” unrest might be through social media. Dan Braha, a professor at the University of Massachusetts and affiliate of the New England Complex Systems Institute, has studied unrest in hundreds of countries and the phenomenon of “contagion,” or how it spreads. In the past, printed newspapers, televisions, and other media played an important role, he said. “Today, the use of Twitter, Facebook, and other social media platforms is fundamental to the rapid self-organization and spreading of unrest activities—much like the spread of fire in a forest.” And the data from these media can be tracked. Riots, he claims, are certainly foreseeable, but “prediction regarding ‘when’ and ‘where’ becomes more precise on short time scales.”

It sounds like social media is just part of the puzzle here. There are certain underlying conditions mentioned in this article – such as hot weather or precipitating incidents (such as police violence) – but these do not always lead to riots. (In fact, given the inequalities present in many American cities, riots and protests could be considered relatively rare.)  Just as with the analysis of the Arab Spring activity, social media does not cause protests or riots but it can help facilitate it. This was reported in Egypt as protestors shared information through social media and even peer-to-peer options. This was also reported in Baltimore as protestors selected places to show up. This is not a new phenomena; riots in the 1960s spread in a contagion like manner and the dispersion could be tracked through news coverage in the New York Times. But, the availability of social media now makes it theoretically possible to watch things develop in real time, an advantage for both protestors and authorities.

Thinking to the future, what happens when protestors make use of non-public social media or peer-to-peer options that cannot be viewed by authorities?

Social scientists critique Facebook’s study claiming the news feed algorithm doesn’t lead to a filter bubble

Several social scientists have some concerns about Facebook’s recent findings that its news feed algorithm is less important than the choices of individual users in limiting what they see to what they already agree with:

But even that’s [sample size] not the biggest problem, Jurgenson and others say. The biggest issue is that the Facebook study pretends that individuals choosing to limit their exposure to different topics is a completely separate thing from the Facebook algorithm doing so. The study makes it seem like the two are disconnected and can be compared to each other on some kind of equal basis. But in reality, says Jurgenson, the latter exaggerates the former, because personal choices are what the algorithmic filtering is ultimately based on:“Individual users choosing news they agree with and Facebook’s algorithm providing what those individuals already agree with is not either-or but additive. That people seek that which they agree with is a pretty well-established social-psychological trend… what’s important is the finding that [the newsfeed] algorithm exacerbates and furthers this filter bubble.”

Sociologist and social-media expert Zeynep Tufekci points out in a post on Medium that trying to separate and compare these two things represents the worst “apples to oranges comparison I’ve seen recently,” since the two things that Facebook is pretending are unrelated have significant cumulative effects, and in fact are tied directly to each other. In other words, Facebook’s algorithmic filter magnifies the already human tendency to avoid news or opinions that we don’t agree with…

Christian Sandvig, an associate professor at the University of Michigan, calls the Facebook research the “not our fault” study, since it is clearly designed to absolve the social network of blame for people not being exposed to contrary news and opinion. In addition to the framing of the research — which tries to claim that being exposed to differing opinions isn’t necessarily a positive thing for society — the conclusion that user choice is the big problem just doesn’t ring true, says Sandvig (who has written a paper about the biased nature of Facebook’s algorithm).

Research on political echo chambers has grown in recent years and has included examinations of blogs and TV news channels. Is Facebook “bad” if it follows the pattern of reinforcing boundaries? While it may not be surprising if it does, I’m reminded of what I’ve read about Mark Zuckerberg’s intentions for what Facebook would do: bring people together in ways that wouldn’t happen otherwise. So, if Facebook itself has the goal of crossing traditional boundaries, which are usually limited by homophily (people choosing to associate with people largely like themselves) and protecting the in-group against out-group interlopers, then does this mean the company is not meeting its intended goals? I just took a user survey from them recently that didn’t include much about crossing boundaries and instead asked about things like having fun, being satisfied with the Facebook experience, and whether I was satisfied with the number of my friends.

New gadgets, apps want more location data from users

Location data is valuable and more new gadgets make use of the information:

Location-tracking lets developers build fast, useful, personalized apps. They’re enticing, but they come with tradeoffs: your gadgets and apps maintain a log of where you’ve been and what you’re doing, and more of them than you think are sharing that data with others.

It’s going to advertisers, mostly, so they can lure you into the Starbucks a block away or the merch tent at Coachella. It’s as creepy as any other targeted marketing, but most of us have come to accept that it comes with the territory. Jennifer Lynch, a senior staff attorney at the Electronic Frontier Foundation, says it goes deeper. Your data might get sold to your credit reporting agency, which wants to know more about you as it determines your credit score. It might go to your insurance company, which is very interested in your whereabouts. It might be subpoenaed by the government, for just about any reason. Maybe none of that is happening. Maybe all of it is. There’s really no way for us to know…

Your phone’s ability to pinpoint your exact location and use that info to deliver services—a meal, a ride, a tip, a coupon—is reason for excitement. But this world of always-on GPS raises questions about what happens to our data. How much privacy are we willing to surrender? What can these services learn about our activities? What keeps detailed maps of our lives from being sold to the highest bidder? These have been issues as long as we’ve had cellphones, but they are more pressing than ever.

Another major trade-off that I suspect most users will make without much fuss in the coming years. The cynical take on the advantages for the user is that this is primarily about customizable marketing that can account for both your individual traits and where exactly you are. In other words, sharing location data will give consumers new opportunities. More consumerism! On the flip side, it is less clear how or when location data might be used against you. But, when it is, it probably won’t be good.

The broader issue here is whether people should have geographical freedom that is not known to others. This is increasingly difficult in today’s world even as we would celebrate the mobility Americans have within their own communities, country, and to travel throughout the world.

What will we all do in autonomous cars? Use 4G, wireless connections

With the rapidly approaching autonomous vehicles, how will we spend the time once devoted to driving (or backseat driving)?

According to the U.S. Census Bureau, approximately 105 million Americans commute by car each day. With an average round trip of 50 minutes, that’s a whopping 88 million hours daily. “I want some of these hours back,” said Cooley. At this point, “we’re now already moving into the era of post-self-driving vision. It’s not so much about the technology of self-driving, but what will we do after that.”…

The most important groundwork, or “plumbing,” as Cooley refers to it, is for auto manufacturers to integrate 4G into vehicles. Built-in high-speed wireless connectivity makes a car much like a phone, Cooley said, allowing users to get into the habit of using maps, calls, notifications, and other interactive elements in the car.

Given today’s world, this isn’t too surprising: cars will free up even more time for Internet and social media usage. Indeed, we’ll have extra time for multitasking where we can listen to music or watch something while participating online (while being a passenger). Are there better things we could do? With all the studies on sleep deprivation (partly due to media usage), perhaps not driving should lead to more sleep. Or, employers and workers might do more job-related activities on the way to and from work.

Alas, all of these supposed time-saving devices may just keep providing opportunities to do more work or entertain ourselves further…

Hillary Clinton’s biggest urban Facebook fan base is Baghdad?

Melding political, social media, and urban analysis, a look at Hillary Clinton’s Facebook fans has an interesting geographic dimension:

Hillary Clinton’s Facebook pages have an unexpected fan base. At least 7 percent of Clinton’s Facebook fans list their hometown as Baghdad, way more than any other city in the world, including in the United States.

Vocativ’s exclusive analysis of Clinton’s Facebook fan statistics yielded a number of surprises. Despite her reputation as an urban Democrat favored by liberal elites, Iraqis and southerners are more likely to be a Facebook fan of Hillary than people living on America’s coasts. And the Democratic candidate for president has one of her largest followings in the great red-state of Texas.

While Chicago and New York City, both with 4 per cent of fans, round out the top three cities for Hillary’s Facebook base, Texas’ four major centers—Houston (3 percent), Dallas (3 percent), Austin (2 percent) and San Antonio (2 percent)—contain more of her Facebook supporters. Los Angeles with 3 percent of her fans, and Philadelphia and Atlanta, each with 2 percent, round out the Top 10 cities for Facebook fans of Hillary.

On a per capita basis, in which Vocativ compared a town’s population to percentage of Hillary’s likes, people living in cities and towns in Texas, Kentucky, Ohio, Arkansas, North Carolina and Wisconsin were the most likely to be her fans on Facebook than any other American residents.

This hints at the broader knowledge we might gain from social media and should beg the question of how this information could be well used. I imagine this information could be used for political ends. Is this a curiosity? Is this something the Clinton campaign would want to change? Would this influence the behavior of other voters? The article itself is fairly agnostic about what this means.

This sounds like data mining and here is how the company behind this – Vocativ – describes its mission:

Vocativ is a media and technology venture that explores the deep web to discover original stories, hidden perspectives, emerging trends, and unheard voices from around the world. Our audience is the young, diverse, social generation that wants to share what’s interesting and what’s valuable. We reach them with a visual language, wherever they are naturally gathering…

Our proprietary technology, Verne, allows us to search and monitor the deep web to spot breaking news quickly, and discover stories that otherwise might not be told. Often we know what we’re looking for, such as witnesses near the front lines of a conflict or data related to an emerging political movement. We also uncover unexpected information, like pro-gun publications giving away assault rifles to fans of their Facebook pages.

Is this the Freakonomicization of journalism?

“Robber barons would have loved Facebook’s employee housing”

Facebook’s new campus includes more residential units. This leads one writer to compare the development to a company town:

Company towns of this era had a barely-hidden paternalistic agenda. Wealthy businessmen saw their workers as family, sort of, and they wanted to provide their wards with safe, modern housing. But many were strict fathers, dictating the minutiae of their grown employees’ lives, from picking the books in the library to restricting the availability of alcohol. It’s hard to imagine Facebook going that far, though the company does try to subtly influence its employees lives by offering such healthy freebies as on-site gyms, bike repair, and walking desks. It’s a strategy that mimics what happened with some later company towns, which employed paternalism to better the company, not just employees’ lives. “Company welfare was seen as an important strategy to promote company loyalty and peaceful relations,” Borges says.

Of course, Facebook isn’t exactly like the Pullmans, Hersheys, and Kohlers of olden times. For one, those were all built on what developers call greenfields, or land which hadn’t been previously developed for housing or commercial uses. Borges also points out that they didn’t have to deal with any existing municipal governments, either. Such greenfield freedom allowed industrialists to maintain a level of autonomy that would make even the most libertarian techies blush. Today, in Silicon Valley, there’s not much of undeveloped land left, so Facebook will have to renovate or demolish to accommodate its plans.

Those discrepancies means Facebook won’t be creating a company town from whole cloth, but slowly taking over the existing city of Menlo Park and re-envisioning it for their employees. The Facebook-backed Anton Menlo development, for example, will consist of 394 units when it opens next year. Just 15 of those are reportedly available for non-Facebook employees…

So maybe Facebookville is an arcology—a political one. What Facebook is building is both entirely similar and completely different from Pullman, Illinois, and its turn-of-the-last-century brethren. It’s a 21st century company town—built by slowly, occasionally unintentionally, taking over a public entity, and building a juggernaut of a private institution in its place.

As noted in an earlier post, this isn’t the first time the concern has been raised that Facebook employees or the company could wield political power over the official municipality in which it is located. Does it matter here if the company is perceived differently than previous company towns from manufacturers like Pullman? Does Facebook exploit its workers in the way that some thought manufacturers and robber baron era corporations exploited their workers? What if the tech employees of today don’t mind this arrangement? Perhaps the pricing on these units is a lot more reasonable than the rest of the Bay Area. In the end, are we sure that company towns are doomed to fail or that it represents an inappropriate mingling of corporate and civic interests? It is not as if Facebook or Google or other major corporations don’t have political power through other channels…

 

“We don’t lie to our search engine. We’re more intimate with it than with our friends, lovers, or family members.”

Wired has an interesting excerpt from a new book Data and Goliath:

One experiment from Stanford University examined the phone metadata of about 500 volunteers over several months. The personal nature of what the researchers could deduce from the metadata surprised even them, and the report is worth quoting:

Participant A communicated with multiple local neurology groups, a specialty pharmacy, a rare condition management service, and a hotline for a pharmaceutical used solely to treat relapsing multiple sclerosis…

That’s a multiple sclerosis sufferer, a heart attack victim, a semiautomatic weapons owner, a home marijuana grower, and someone who had an abortion, all from a single stream of metadata.

Web search data is another source of intimate information that can be used for surveillance. (You can argue whether this is data or metadata. The NSA claims it’s metadata because your search terms are embedded in the URLs.) We don’t lie to our search engine. We’re more intimate with it than with our friends, lovers, or family members. We always tell it exactly what we’re thinking about, in as clear words as possible.

The gist of the excerpt is that while people might be worried about the NSA, corporations know a lot about us: from who we have talked to, where we have been, who have interacted with through metadata and more personal information through search data. And perhaps the trick to all of this is that (1) we generally give up this data voluntarily online (2) because we perceive some benefits and (3) we can’t imagine life without all of this stuff (even though many important sites and social media barely existed a decade or two ago).

The reason I pulled the particular quote out for the headline is that it has some interesting implications: have we traded close social relationships for the intimacy of the Internet? We may not have to deal with so much ignorance – just Google everything now – but we don’t need to interact with people in the same ways.

Also, this highlights the need for tech companies to put a positive spin on all of their products and actions. “Trust us – we have your best interests at heart.” Yet, like most corporations, their best interests deal with money rather than solely helping people live better lives.

Creating a quirky and warm Twitter personality for your on-the-market housing unit

Here may be a new housing trend: personifying your for-sale home in a Twitter account.

Bob the House — a three-bedroom, one-and-a-half-bath ranch in the Chicago suburb of Mount Prospect — has been tweeting about his journey on the market since October. You’ll find Bob to be a rather inspirational house, tweeting messages of positivity and hope on a regular basis, along with fanfare for the Chicago Cubs and humorous updates about his search for the right family. (“Six showings today! You like me, you really like me!”)

Here’s the open secret: It’s not really Bob who’s doing the tweeting. It’s his “handler,” Rich Burghgraef, an account executive with sales consulting firm Randolph Sterling, Inc. Burghgraef writes in a blog post that he created Bob, whose name comes from the street the house lives on, Robert Drive, as a way to get away from typical advertising tactics. It seems Bob was a hit, with showings of the home going from one or two a weekend to six and eight after the Twitter account debuted. It may have even been responsible (or at least contributory) to the ultimate happy ending, as Bob tweeted on March 1: “My new family moved in on Friday. Thank you all for taking an interest.”…

Burghgraef says that he used Bob to make a personal connection with buyers, not just to throw marketing messages of “buy me!” at them. Bob would tweet about the school that taught him to tweet (so there’s a good school in the neighborhood!); his friend, the stop sign (safety first!); and his stepson, the swing set (don’t you see your family here?). The home’s Twitter account gave buyers a new way to “fall in love with him even before stepping in for a showing,” Burghgraef says.

A clever way to use social media. The several accounts I read of this phenomena did not provide much evidence regarding the effectiveness of this tactic. Of course, social media attention is one of the currencies of today’s social realm so why not leverage it to help sell your home?We can’t be too far away from someone automating this process so that every new housing unit on the market could take advantage of Internet available information about the neighborhood and surrounding area to develop a winning personality.

I think Burghgraef is right in suggesting that this could be particularly effective with real estate since there is a high level of emotional investment. While we could imagine all sorts of consumer goods having their own online personalities, not all of those goods might have the same emotional connections to their owners.

How trust builds and then declines through online reviews

Two sociologists explain how trust develops and then changes over time in the online sharing economy:

For their research, Parigi and Cook examined Couchsurfing, a website that supports international travel and cultural exchange. Its members both host visitors and surf the site to find sympathetic lodging as they travel the world, all without exchanging money. Profile pages of members list Couchsurfing friends and other personal information.

The findings revealed, the researchers wrote, an interesting mechanism at the root of interpersonal trust: “The accumulation of ratings about users (whether guests or hosts) had a double-edged effect on trust and relationships: it made relationships easier to establish initially but it also weakened them after a certain threshold.”

In other words, technology boosted interpersonal trust among users at first, but it also made it more difficult to build stronger ties as users acquired more and more reviews…

Parigi and Cook explain that in an online community, interactions between people are more normalized, less open to chance. “This is because trustworthiness is promoted not by interpersonal ties, but by the monitoring of one another in a network in which reputations are posted,” they wrote…
As a result, he said, an interesting conundrum seems to be emerging: technology makes it possible for people to trust complete strangers, while at the same time it may be weakening the bonds that unite individuals.

Trust is a necessary component of human relationships; people need to have some confidence that the other person is not going to take advantage of them or let them down and deeper connections can form when mutual trust develops. Yet, trust can develop in different ways. In this particular case, it sounds like the trust is built on crowd-sourced data – posted online reviews – that contribute to confidence but don’t necessarily lead to deeper relationships.

Maybe this is all okay. We don’t expect to form deep relationships with everyone we interact with, particularly when it comes to economic transactions. (Think of interactions with cashiers or waiters or others at the lower status jobs in the service economy.) The larger issue may be when most or all of online interactions develop these qualities. This is the same sort of question that worried Georg Simmel in his piece “The Metropolis and Mental Life.” Simmel made a similar argument: when humans enter a new social space (the big city) that is built around interdependence and specialization, humans can’t hope to get to know everyone. Similar situation today: humans enter a new social space (the Internet, social media) that prioritizes individual action and choosing what connections to make.

Cracking down on massive hide-and-seek games in Ikea stores

Ikea in the Netherlands has banned viral hide-and-seek games inside its stores:

Ikea has quashed the dreams and shortened the bucket lists of tens of thousands people, saying it won’t allow several guerrilla hide-and-seek games to take place in its stores in the Netherlands. “It’s hard to control,” an Ikea spokeswoman told Bloomberg. “We need to make sure people are safe in our stores and that’s hard to do if we don’t even know where they are.”

More than 57,000 people were invited to participate in a May 16 game of hide-and-seek at the Ikea in Eindhoven, Netherlands, according to a Facebook page for the event, with about 32,000 people RSVPing. Twelve thousand were invited to a similar event at an Ikea in the Netherlands’ Breda on May 9. Had either game moved forward, it could easily have broken Guinness’ record for the world’s largest game of hide-and-seek, which was set in January 2014 in China and involved a mere 1,437 participants.

While this isn’t the first time Ikea has contended with plans for massive hide-and-seek outings in its stores, it may be the first time the company has banned them outright. A game that took place in 2009 at an Ikea in Sweden reportedly attracted about 150 people and forced organizers to apologize for the “whooping and cheering” that scared customers straight out of the store. And when thousands of people in Melbourne, Australia, signed up to play hide-and-seek at an Ikea the following year, the company said it would “discourage” customers from participating in the event but would not “go so far as to ban them.”

At any rate, the more interesting question here is how many people an Ikea store could reasonably host for a game of hide-and-seek, were the company’s management to get on board. The Eindhoven store, which opened in 1992, is 28,600 square meters, according to Ikea’s website. That’s about the same as four standard soccer pitches, or 5? American football fields. Let’s stipulate that for a really good game of hide-and-seek, you need at least 20 square meters (about 225 square feet, or a 15-foot-by-15-foot spot to stand in). Less than that and you might as well play sardines or blob tag instead. Also, presumably not all 28,600 square meters in the Eindhoven store are usable space, or even accessible to customers looking for hiding spots.

Think of all the hiding places! I’m not surprised that safety was the primary reason for banning the games though I assume the real reason was that this could be bad for business. (Yet, how many of the game players would purchase something – from meatballs to another Billy bookcase) on the way out?) If you think about it, a lot of businesses could be overwhelmed by such viral efforts. (Maybe all those extra parking spots mandated in American parking lots would then be filled.) How far away are we from outright bans on indoor games in multiple countries or from other stores and businesses as well?

At the same time, why doesn’t Ikea turn the tables on this and host some special hide-and-seek events with a lottery system for participants. This could generate good publicity and reestablish the brand’s cool factor.