The ease of promoting and profiting from fake news (link is external), the use of social media to spread disinformation and twist the truth and the ability to microtarget voters on all their devices reveal how political campaigns and special-interest groups are taking full advantage of the “Big Data”-driven digital marketing system that Google and Facebook have helped unleash. Campaigns now have needle-in-the-haystack capabilities, provided by commercial marketing and media companies, to find and motivate an individual voter. The Trump team (link is external), for example, was able to identify someone from rural America who felt “disenfranchised (link is external),” had not voted in recent elections (and didn’t show up in polls as a likely voter), and then use a data-and-digital-concocted brew to trigger emotions and behavior (link is external).

Behind the digital curtain that informs and entertains is a commercial surveillance system whose function until recently has been primarily to sell us junk food (link is external), credit cards and retail products (link is external). But in 2016, the system was fully deployed for political gain. Just take a look at the techniques used by the Trump, Clinton, Sanders (link is external) and other political campaigns that describe how they reached and influenced voters. They are right out of the digital advertisers playbook: IP address (link is external) targeting, geofencing (link is external), pixel profiles (link is external), Data Management Platforms (DMPs) (link is external), algorithms (link is external), data onboarding (link is external), moment scoring (link is external), header bidding (link is external), and programmatic advertising (link is external). Electoral campaigns — from all sides — are fusing cookies (link is external) (data files placed on our web browsers) with information gathered by consumer data companies (link is external) along with our voter files (link is external), which illustrates how our commercial pursuits and political interests are being merged today.

Advances in the best way to use all the information routinely captured and analyzed about us, and which has been greatly expanded by our use of mobile phones and apps, have helped companies to create highly detailed personal dossiers that merge our online and offline information, make predictions about how we — or others like us — will respond, and then orchestrate desired behaviors. Google boasts to its advertisers, for example, that it can help them connect with us in a “micromoment (link is external)” — just at the point when we may make some decision. Facebook, for its part, assures marketers they can use its system to influence the decisions of “real people (link is external).”

There is little standing in the way of a Trump, Clinton or any other political effort from easily acquiring access to the huge reams of personal information now available (link is external) through commercial data companies, sold by publishers and online enterprises (link is external) and used to target us (link is external) when we log on to social media such as Facebook. The digital marketing and data industry has largely been immune from any regulation under the Obama administration, either on consumer data collection practices or business operations. The US is still one of the only advanced-economy countries (link is external) without comprehensive privacy legislation (link is external), and what little we have is already under threat (link is external). For the vast majority of Americans, there is practically no legal way to turn off or stem the flow of their information. The government’s “hands-off” approach to how Facebook, Google and the rest of the digital marketing industry operate has helped unleash powerful and unaccountable forces that helped elect our next president.

Political campaigns can buy data from internet and other companies about our finances (link is external), health concerns, race, ethnicity (link is external), shopping behavior (link is external) and geo-location, along with what we read online and what our political interests are. Leading data companies including Nielsen (link is external), Neustar (link is external), Oracle (link is external) and Acxiom (link is external) sell this information to political campaigns and others working to influence public opinion. Political data firms such as Cambridge Analytica (link is external), which worked for Trump, layer on predictive modeling and psychological tools (link is external) to help identify “personality traits,” behavior and “what really drives … decision making.” Trump’s White House chief strategist Steve Bannon sits on its board (link is external). This company, which also helped support the Brexit “Leave” initiative (link is external), says it has compiled “5,000 (link is external) data points on over 220 million Americans (link is external).” Cambridge Analytica is the US affiliate (link is external) of the SCL Group (link is external) in the UK, which engages in political (link is external), commercial (link is external) and defense (link is external) work (including “PSYOPS (link is external)” — psychological operations). According to its website, SCL’s specialties include “behavioural polling, behavioural microtargeting, StratCom and target audience analysis” (a service it is helping NATO (link is external) perfect).

SCL’s operations illustrate how data analysis is being used today, from trying to win “hearts and minds” in Afghanistan (link is external) to selling us Big Macs or a President Donald Trump. According to the company (link is external), they “combine commercial and public big-data sets with large-scale quantitative research to predict everything from whether people are likely to vote through to what products and services they are most likely to buy.” Its work with political campaigns takes advantage of the “predictive power of data” and uses “physio-lingual analysis tools to uncover subconscious … reasoning (link is external).”

Such capabilities benefited Trump, who only won because, as Cambridge Analytica itself wrote (link is external), “The president-elect flipped Florida, Pennsylvania, Michigan and Wisconsin by margins of less than 2 percent. If Hillary Clinton had taken those last three states, she would have won the election. Trump won those three states by a combined margin of approximately 107,000 votes.” The company also explained:

The 2016 presidential election showed that the use of data to identify, persuade and turn out voters has become increasingly sophisticated. Cambridge Analytica’s data science, digital marketing and research teams informed key decisions on campaign travel, communications and resource allocation…. Every week Cambridge Analytica collected responses from 1,500 to 2,000 people in each battleground state. It used this research and data to model scores for all voters across key states: which candidate they preferred, which were “persuadable,” the issues they cared about and how likely they were to actually vote on Election Day. Every voter in each battleground state was also segmented by ethnicity, religion and the issues that concerned them most….

When, in the final weeks of the race, the firm’s data scientists recalculated voter turnout and recalibrated their models to show how Donald Trump could win, the GOP candidate revisited states like Michigan and Wisconsin…. Online ads placed by the firm were viewed a staggering 1.5 billion times by millions of Americans ….

If Hillary Clinton’s campaign was the Titanic, then Donald Trump’s campaign was a speedboat: nimble, flexible and able to adapt fast.”

The Trump campaign also used digital targeting to conduct “major voter suppression operations,” according to a report in Bloomberg (link is external), focusing on African-Americans, young women and white liberals — with tools including an onslaught of what are called “dark posts (link is external)” on Facebook. These targeted messages included “a South Park-style animation of Hilary Clinton delivering her infamous 1996 ‘super predator’ remarks.” Marketers use dark posts to deliver targeted content to only on the Facebook newsfeeds (link is external) of individuals, not on the ones operated by the companies that generate them. Giles-Parscale, another online marketing firm working for Trump (link is external), was part of “Project Alamo (link is external),” a digital data initiative spearheaded by Trump son-in-law Jared Kushner. “Facebook and Twitter were the reason we won this thing (link is external),” said Brad Parscale, who is now assembling a nonprofit advocacy group (link is external) designed to press Trump’s agenda from outside the White House. How Trump, Kushner and their operatives use the considerable data assets controlled by the White House (which was expanded under Obama (link is external)) and work with their new outside digital operation should raise concerns, at the very least, from civil libertarians and others.

Google and Facebook likely will continue to be friendly ports of call for Trump and the GOP. They provide a host of services to both major political parties’ campaigns and have benefited from the Big Money (link is external) pouring into them to target voters online. To help campaigns “understand the influence of digital media and online video in the 2016 elections,” Google hired (link is external) Republican pollster Frank Luntz (link is external), along with Julie Hootkin from the Global Strategy Group (link is external), to offer insights as “guest editors” on the company’s principal website set up for advertisers. Google also promoted (link is external) ways political advertisers could take advantage of YouTube (link is external), its search engine and all its other tools for marketers. It offered this advice: “Voter decisions used to be made in living rooms, in front of televisions. Today, they’re increasingly made in micromoments, on mobile devices.” The GOP was reported to have awarded Google a major share of its “largest digital ad deal ever,” earmarking $150 million to buy online video ads, according to Ad Age (link is external) last May.

Facebook also offers targeting opportunities (link is external) for political campaigns (link is external), which are encouraged to buy ads and other products to appeal to its more than 162 million US users, enabling campaigns (link is external) to target by age, gender, congressional district and interests. Campaigns can also supply their own data to Facebook, which will help them target (link is external) individuals. Facebook has promoted as an advertising “success” story (link is external) its fundraising targeting for the conservative group Judicial Watch, which included a mobile ad (pictured right) prominently featuring a headshot of Hillary Clinton alongside the headline, “Hillary’s Email Scandal Exposed.” The case study explains, “Advanced matching for Custom Audiences is a targeting tool that allows advertisers to upload multiple data points at once to create an audience on Facebook. Data points include general information like first and last name, ZIP code, state, country, age and gender, and also email, phone number, mobile advertiser ID and Facebook app user ID.”

So many companies (link is external) now specialize in or supply data to political campaigns, as well as offer ways to influence (link is external) voters more precisely (link is external). There are even data made available to Republican campaigns by Democratic-oriented companies. For example, data analytics specialist L2 (link is external), which has been helping Donald Trump since early 2015, offers a predictive modeling product (link is external) that scores voters on “likelihood of support” on dozens of issues, including their views of Black Lives Matter, church attendance, fracking, gun laws, gay marriage, the Mexican border wall, transgender bathrooms and many more. HaystaqDNA (link is external), a political data firm started by operatives of President Obama’s previous campaigns, sold some of its own data (link is external) to L2 (and which were used, according to a former Trump data official, to “pinpoint a specific type of would-be supporter.”)

But it’s more than just data gathering and online targeting that concerns privacy and democracy advocates. Pursuing monetization at any cost overwhelms what’s left of the boundaries that separate news from advertising or purposefully deceptive content — and the public is being conditioned to accept (link is external) fake as real. The online giants have effectively fashioned a brand-focused online echo chamber in which the public is continually encouraged to accept, and virally pass along, advertising content that is purposefully disguised as legitimate news and information. That chamber is also home to a growing (link is external)effort by leading advertisers (link is external) to use the latest neuromarketing techniques to subconsciously imprint on people a more favorable view of their brands. (link is external)

While political campaigns will argue the First Amendment gives them the right to buy such data, we shouldn’t allow retailers, data brokers, online marketers and publishers to gather and use our personal information in the first place. Of course, Trump and the GOP-dominated Congress are not likely to pass any new privacy laws or impose regulations on how commercial data can be gathered and analyzed. Already, the GOP is said to be ready to reverse the Federal Communication Commission’s privacy rules that were adopted last October (link is external). The Federal Trade Commission is likely to become even weaker on data issues and governing consumer data marketing practices.

While we focus on the need to protect the regulations we have, and demand even more, we must also call for greater responsibility from Google, Facebook and the digital industry — including leading publishers of news and information (link is external) — about their data and marketing practices. It’s not only in the UK and US where these tactics are playing a destructive role in democracy; it’s also been exported (link is external) to Germany (link is external), Italy (link is external) and other countries. There is urgency to do so, as the industry is moving into place the next generation of personalized micropersuasion practices (link is external) that harness artificial intelligence (link is external), cognitive computing (link is external), virtual reality (link is external) and ubiquitous data collection (link is external) that will far surpass what is being used today.

This post (link is external) first appeared on BillMoyers.com.