How Fake News Really Spreads

Post-truth politics is a “political culture in which debate is framed largely by appeals to emotion disconnected from the details of policy”. The narrative takes center stage and factual rebuttals to the political agenda are consciously disregarded. Demagoguery assumes the role of the protagonist. Fake news, Disinformation and Hoaxes become the setting. And, the Internet is the theatre. Since 2016 however, these post-truth plays have been largely harbored by Twitter.

In a study commissioned by the Knight Foundation, Matthew Hindman of George Washington University and Vlad Barash of Graphika examined how ‘fake news’ actually spread across tweets in the months preceding and post the 2016 US presidential elections.

In a vivid interactive by Accurat that carefully captures the fluid temporality of the twitterverse, the study depicts more than “10 million tweets from 700,000 Twitter accounts that linked to more than 600 fake 
and conspiracy news sites.”

One myth that this study debunks is that fake news is spread by thousands of small, independent sites when in reality, it is largely concentrated around a handful of websites, and in the case of the 2016 elections, 24. A pattern that seems to run throughout these coordinated twitter campaigns is that of Clusters, a network of twitter users who inter-tweet and inter-link to disinformation from these sources. These accounts, a whole 13861 of them, the study samples as the most crucial in spreading fake news, half of which were found to be automated based on their posting cycles.

Check out the full interactive here.

Data Matters Newsletter  —  Dec 2018

Data is never self-contained; it comes into existence only when someone expends resources to gather and record it, and its meaning is inextricable from its context. 

Look Back:

Listening to a Glacier on a Warm Summer Day

 

“Climate Change is an abstraction. We read about it, but it’s happening too slowly for us to perceive, and so it’s hard to accept it as something that’s real and urgent. This artwork is an attempt to give a ‘voice’ to a specific glacier in the hopes of making climate change something we can hear and see — something that feels real.” — Ben Rubin

We Recommend:

1. Illustrating Mental Illness

It’s hard to visualise mental illness in the same way we might visualise physical disabilities, and this can make it difficult for people with no experience of mental health problems to empathise or imagine how they affect peoples’ lives.

2. Water, data, art!

“Waterways get polluted. But they can also be cleaned up. It’s a process that’s reversible… Data forces you to work with constraints, at the same time as it gives unexpected results and surprises,” Kildall says.

3. Aeromidd | Earth Square Moon

A neat little fact about the solar system demonstrated in animation. Did you know that the radius of the Earth in ratio to the radius of the Moon is 3:11? This remarkably means that If you create a square of a side length equivalent to Earth’s diameter, it will have the same perimeter length as a circle of diameter equivalent to the Earth and Moons’ diameters together.

4. An Artist Sees Data So Powerful It Can Help Us Pick Better Friends

Frick imagines a future in which your smart watch will know how your body is responding to someone. Then it will combine with Facebook data about their personality. And that will let you know whether that person makes you lethargic, raises your blood pressure or depresses you.

5. Visualize your music DNA with Data 

Let’s retrieve your listening history of the last 100 days. Nothing that the recent GDPR wouldn’t allow though! Just the precise date, genre of the songs listened to and how many times you’ve listened to the same song/artist.

Upcoming Events in New York City:

1. Making Art in the Age of Algorithms Symposium– Friday, December 7, 2018 | Register

2. Culture Shifts in Social Data – How Brands Learn and React to Global Shifts in Thinking – Tuesday, December 11, 2018 | Register

3. NYC #OpenData 102 — Unlocking Open Data through data journeys – Thursday, January 17, 2018 | Register

Throwback Podcast:

Urban Legends with Karl Mamer

Back in 2014, Karl Mamer decoded the data mysteries behind three well known urban legends on Data Skeptic.

Follow:

Instagram @MappingLab.Me

Journey of a Meme: Culture Jamming & Elections

Meme is the basic unit of culture jamming – an idea that utilizes the conventions of mainstream media to disrupt, subvert and plays upon the emotions of political bystanders so as to evoke change and activism.

On Oct 11 2018, the hashtag #JobsNotMobs came into being anchored by a ‘supercut’ viral video of cable news’ use of the word ‘mob’ juxtaposed with footage of various protests that happened last year. This meme slowly made its way through the crevices of social media across 4chan, reddit, facebook and twitter into President Trump’s twitter feed. 

Keith Collins and Kevin Roose in their NY times article, 

visualize the birth and spread of #JobsNotMobs and how it rapidly became part of the Republican campaign narrative in the midterm elections. 

The creator of the meme, who goes by the pen name “Bryan Machiavelli,” told The New York Times he charges $200 an hour for his “memetic warfare consulting” services.

Check out the visualization here.

Inside – Bruno Latour’s Gaiagraphic View

As part of the ‘French Natures’ conference-festival hosted by NYU, Bruno Latour’s awaited piece ‘Inside’ premiered in the US last week on Friday at The Romulus Linney Courtyard Theatre in New York City . A 60 minute long lecture-performance which has toured across several cities in Europe, Latour calls it a theatrical thought experiment. Directed by Frédérique Aït-Touati, his long time collaborator in research and theater work, ‘Inside’ asks one of the most pertinent question of our times –

how we can rethink our relationship to the planet in times of environmental catastrophe.

Humans have long thought they walk on a globe, on the Globe. But in recent years, geochemists have shown us a completely different planet, by turning attention to the “critical zone,” this thin surface film of Earth where water, soil, subsoil and the world of living beings interact. If this area is critical, it is because life, human activities, and their resources are concentrated there. – French Natures

A version of the performance filmed in February 2018 in Frankfurt, Germany

The production of ‘Inside’ Latour saysoffers alternative visualizations  which allows to shift from a planetary vision of places located in the geographic grid, to a representation of events located in what we call a Gaiagraphic view.’

In her New York Times portrait on Latour’s work, Ava Kofman speaks to his post-truth philosophy:

In our current environmental crisis, he continued, a new image of the earth is needed — one that recognizes that there is no such thing as a view from nowhere and that we are always implicated in the creation of our view.

Learn more about Inside’s Premiere here.

When Place favors Power: A Spatial Recount of the Ford-Kavanaugh Hearing

TRIGGER WARNING: This article or section, or pages it links to, contains information about sexual assault and/or violence which may be triggering to survivors.

Image result for blasey ford

Continue reading “When Place favors Power: A Spatial Recount of the Ford-Kavanaugh Hearing”

Listening to a Glacier on a Warm Summer Day

Photo: Brett Gilmour, © 2018

In June, CDA Director Ben Rubin and Data Artist Jer Thorpe completed Herald/Harbinger, a work of light, movement, and sound that unfurls from the south lobby of Calgary’s Brookfield Place, extending outdoors into the open tree-lined plaza.

The plaza at Brookfield Place, Calgary. Photo: James Brrittain, © 2017

Heralding the ascent of Earth’s Anthropocene period, Herald / Harbinger speaks to the interrelationship between human activity in Calgary and the natural system of the Bow Glacier in the Canadian Rockies.

The artwork’s story begins about 160 miles west of Calgary, where the Bow Glacier melts, cracks and shifts with changing temperatures, existing in a perpetual state of physical transformation. In 2016 and 2017, the artists constructed a solar-powered seismic observatory at the edge of the glacier. There, they installed sensors that register the near constant shifting of the restless ice and feed this data in real-time to the artwork’s servers.

“Up on the mountain, when the wind wasn’t blowing, there was an eerie, complete silence. Watching the data scroll by on the screen, though, I could see that the ice was not as it appeared; that its stillness belied a quick and constant movement.” – Jer Thorp

The glacier’s movements are made visible as displacements of scan lines on an array of LED lights. Photo: Brett Gilmour, © 2018

The artwork itself is a permanent public installation that renders the glacier’s movements audible in an immersive outdoor soundscape of ice and water sound, and visible as displacements of scan lines on an array of LED lights. Inlaid patterns on the granite plaza surface map the forces pushing the Bow Glacier down from the Wapta Icefield toward the Bow lake.

“Climate Change is an abstraction. We read about it, but it’s happening too slowly for us to perceive, and so it’s hard to accept it as something that’s real and urgent. This artwork is an attempt to give a ‘voice’ to a specific glacier in the hopes of making climate change something we can hear and see — something that feels real.” – Ben Rubin

The pattern embedded in the granite plaza surface maps the forces pushing the Bow Glacier from the Wapta Ice Field down toward Bow Lake. Photo: Brett Gilmour, © 2018

As Calgary’s day gets busier and traffic levels rise, the patterns in the artwork are interrupted by the patterns of the urban life, with aggregated data from pedestrians’ footsteps and traffic sampled at 14 different locations around the city sometimes intruding upon the glacial tempo. Vehicle traffic is displayed as seven ‘roadways’ on the piece’s seven LED fixtures. Herald/Harbinger creates an encounter between Alberta’s natural systems and the city’s restive human activity, establishing a kind of conversation between these two realms.

And yet for all of its complexity, the artwork’s presence remains subtle, blending discretely into its urban surroundings even as it invites curious passersby to pause, listen, and investigate.

What Improv Storytelling has to offer to Data Artists

In 2015, Ben Wellington gave a TEDx talk on how he borrowed principles from his lifelong love for Improv Comedy and applied it to his Data Visualization practice. “I accidentally became a data storyteller,” he says.

“The Open Data Laws are really exciting for people like me because it takes data that is inside City Government, and suddenly allows anyone to look at it.”

The narrative that came out of contextualizing this data spotted zones that fervent NYC cyclists are better off avoiding and shed some light on the battle strategies of new yorkers’ favorite pharmacies. Wellington closes the distance between Data Viz and Improv by ‘Connecting with People’s Experiences’ and ‘Conveying one simple (and powerful) idea at a time’.

Alan Alda, the seven-time emmy winning actor of M*A*S*H along with Ocean and Environmental Scientist and Associate Director at The Alan Alda Center for Communicating Science, Dr. Christine O’Connell experimented with a group of scientists, doctors and engineers in 2016 in a workshop to employ Improv Storytelling in communicating their research.

“I think anybody that studies something so deeply, whether you’re an engineer, whether you’re an artist, whether you’re in business, you forget what it’s like not to know” – O’Connell

Empathy lies at the heart of Improv and therefore, at the heart of good communication. The idea of speaking to your audience and working with them to create a common language and evolve into clarity is especially relevant for Data Scientists and Data Artists.

The Data Artist creates an imaginary, artificial environment not dissimilar to that of an Improv actor where certain cues are visible and certain others have to be made up. The logic of this environment, however, needs to be consistent and is as important as the trust established within it.

“Even small breaks can affect credibility. – When we visualize data, we are (asking our audience to suspend their understanding of reality for a moment and accept new rules and conditions). We are asking our audience to understand shapes and forms on a digital screen to be something other than what they are.” – Ryan Morrill, Storybench, October 2017.

The Data Viz equivalent of Laughter in an Improv Comedy Scene is the deriving of Insight, says Morrill, where the logic reveals a reward.

Dark Source: A Reflection of the Politics of Voting Technology

As the debate on the Midterm Elections of November 2018 gets more heated, senators from both parties have expressed serious concerns over threats to cybersecurity of electoral systems across different states. Several lists of recommendations to fortify the systems have been released at the state and federal levels by the Senate Intelligence Committee, the Secretary and Former Head of Homeland Security and the Federal Elections Commission emphasizing the need for Cyber-security Risk Assessments.
Between the record-number White House resignations and departures and the amorphous allocation of around $700 million in funding, with $380 million towards “rapidly” replacing aging election technology across the country and $307 million towards fighting potential cyber threats due to Russian interference, it is clear that the Trump Administration is not sufficiently prepared for the upcoming elections. These patterns of weak election technology and weaker cyber-security, however, are not a recent phenomenon.
In 2005, CDA Director Ben Rubin expressed through his art installation Dark Source, “the inner workings of a commercial electronic voting machine.”

The artwork presents over 2,000 pages of software code, a printout of 49,609 lines of C++ that constitute version 4.3.1 of the AccuVote-TS™ source code.

In Dark Source the code, which had been obtained freely over the internet following a 2002 security failure at Diebold, has been blacked out in its entirety in order to comply with trade secrecy laws.

In an essay subsequently published in Making Things Public: Atmospheres of Democracy, he elaborates on the complications with proprietary election technology in the context of 2004 elections.
We trust cash machines and gambling machines with our money, and we trust medical devices and autopilots with our safety, so why shouldn’t we also trust electronic voting machines with our ballots?
Proprietary voting technology, subject to no meaningful standards of security, reliability, or accuracy, is inherently vulnerable not only to malicious tampering but also to inadvertent failure.
Election systems must be returned to the public’s control, and one essential step will be to lift the veil of secrecy that cloaks the software.
As we continue to follow the trail of Election Security, here at Data Matters and raise the necessary concerns over the upcoming elections, it could be worthwhile to reflect upon the fallacies of the past.

Lifelong Analytics: Equity, Data Viz & Precision Medicine

About the Author: Emily Chu is a Data Visualization Developer and Motion Designer currently focusing on data visualization engineering, machine learning and interactivity. Her background spans program management, research, business, design and technology. (MS Data Visualization, Parsons School of Design) | Website: 3milychu.github.io

 

The Spotlight on Healthcare Data

The tidal wave of new healthcare technologies is dizzying. Telehealth, artificial intelligence, AR/VR, 3D printing and patient monitoring promise that the future of medicine will be more efficient, affordable, secure and personal. Most advancements spotlight healthcare data as the foundation: we are capturing it, sharing it, making use of it and disseminating it in ways we’ve never done before.

Healthcare Data’s Rising Value and Impending Inequity

Consider this year’s Economic Forum’s meeting in Davos, where key industry leaders stated that using global healthcare data available to them, Machine Learning will be able to uniquely pinpoint the most effective treatment for an individual. At the current rate of data representation, however, health systems will be much poorer at offering efficient and highly accurate treatment for individuals that are not of European or East-Asian descent.

Meanwhile, the momentum behind capturing healthcare information is the heightening awareness of its value and security. Companies like Nebula Genomics, for instance, are offering to sequence your genome and secure it on a blockchain, wherein you will have control over the transfer of this packet of information and it will only go where you send it. In a consumer-driven healthcare world, what types of customers will have the privilege to understand what this even means?

What we can do with healthcare data can level the playing field.

We can make it secure and affordable for everyone, regardless of condition, race, or socioeconomic background, to receive the most effective treatment available. Looking at the typical health system infrastructure, where do we start?

Enter Electronic Health Records

Electronic Health Records or Electronic Medical Record (EHR/EMRs) are now a standard method of healthcare data storage and exchange. Patients are able to view an electronic copy of their medical records and physicians are able to share test results with patients. It can be thought of as the start of healthcare data consumerization. It is perhaps the perfect training ground to help the most vulnerable populations understand –

  1. how valuable their healthcare data is and
  2. how to harness it to improve their health and receive the most affordable, effective treatments in the future.

Since its inception, we now know that approximately half of the U.S. population encounter difficulties in comprehending and utilizing their health information, ushering in the need for a “visual vocabulary of electronic medical information to improve health literacy”. In 2014, a study revealed that 63.9% of of EMR survey respondents complained that note-writing took longer, and as of 2017, 94% of physicians in a survey were overwhelmed by what they believe to be “useless data”.

Visualizing Healthcare Data for the Most Vulnerable: From Collection and Adoption to Accuracy and Feedback

One important step is to get the most vulnerable populations – lower literacy individuals, patients with chronic or debilitating conditions, the elderly – to find a real use in capturing data and finding an enjoyment in doing so. The following demonstrates an example of how this updated electronic health record might function.

From Integrated Treatment Adherence to Responsive Feedback to Lifelong Analytics

In Visual 1.0: Simple Gamification of Healthcare Activities (below), for example, the patient is first shown how medications and healthcare tasks such as “take your blood pressure” can be gamified in a simple user experience to encourage data collection.  

Visual 1.1: Progress Over Time (below) shows how collecting vitals and treatment plan adherence might then be synced and displayed in the record shared with physicians. 

In Visual 1.2 Breakout view of healthcare activity or Biometric Marker (below), consider that the main dashboard view can be broken down and analyzed easily by physicians.  

Visual 1.3 Condensed Progress Summary and Feedback for the Patient (below) then illustrates closing the feedback and health comprehension gap that is often left open after treatment, by condensing the analytics into a simple progress view over time. Recommendations for the medical aspect (i.e. treatment plans) or maintenance behaviors (i.e. exercise) are adaptive. For example, at predetermined check-in intervals or when tracking metrics trigger a certain threshold, the treatment plan adapts based on level of adherence or other care plans that were implemented. Finally, consider that patients should be able to view future states assigned to them by predictive analytics (not pictured). In this scenario, what I would call Lifelong Analytics, individuals securely own all their healthcare information and are able to compare how predictive analytic models place them in the future.

By using the electronic health record as a catalyst to drive data collection and adoption among the most vulnerable, we are securing a pool of representative information for groups that may otherwise be left behind in the race for precise treatment at near-to-no cost. Along the way, through digestible habits and user-friendly actions, patients will be exposed to the power behind documenting their healthcare information. Once individuals are empowered with their data and what it really means, we can imagine a future where people are quick to stand up for the ownership of their data – and ensure that advancements that are made considering their footprint.

Takeaways

The poor, the elderly, the sick and the underrepresented have much to offer to the future of medical practice. They offer interesting challenges and high payoffs in cost efficiencies. When we consider a future where data will be dynamically classified and trends predicted, it is important to concentrate adoption among these groups. Some methods we discussed in this article:

Making treatment plans easy to track and adaptable

Treatment plans should be easy to track. Monitoring can be easily integrated into our routines, or in the future – automatically reported back to us. Providers should be able to understand what adaptive measures need to be taken should we miss a dose, or life interferes with our rehabilitation plan.

Making our medical history secure, transparent and shareable

Technologies currently exist to ensure our healthcare information belongs to us, and we have ownership over where it is transferred virtually. Visualizing healthcare information using a visual vocabulary that demystifies our health history, and shared among all providers in our care network can strengthen this transparency.

From responsive feedback to lifelong analytics

Consider a future where individuals with secure ownership of their healthcare data can access not only responsive feedback from their care providers, but see how their lifelong analytics are affected with each stint of perfect treatment plan adherence or alternative care plan. In other words, imagine what predictive analytics has to say about us is eventually comprehensible and accessible to us as individuals.

By visualizing and making healthcare information for the most vulnerable readily accessible and comprehensible, we make it possible to access the most difficult treatments responsively and potentially risky treatments with transparency. In the end, this can teach an entire population how to better develop an infrastructure that prepares and cares for us when we too age, get sick or fall into disadvantaged circumstances.

Organic Software: An Interview with Seth Price

Dr. Anne Luther spoke with Seth Price in an email interview about http://organic.software, an online database that the artist released anonymously in 2015. It contains profiles of over 4000 art collectors that the artist accumulated alongside images of their digital portraits, street views of their private address, corporate and private affiliations and political donations, educational bio and information about their net worth. The website displays a certain performative element through its visual language, anonymity and contextualization into jargon and vocabulary of software development and algorithmic analysis linking entities of an ecosystem of actors in the artworld and their political and economic contexts. The website was discussed in multiple published articles (Texte zur Kunst, Vice, Metropolis M) and was part of an exhibition at 365 Mission Rd in LA.

Seth Price is a multi-disciplinary artist who works in a wide range of media. His work has been exhibited internationally and was included in the 2002 and 2008 Whitney Biennials,  the Venice Biennale in 2011 and dOCUMENTA (13) in 2012. His video works have been screened at the Rotterdam Film Festival; Tate Britain, London; Institute of Contemporary Art, London; The Museum of Modern Art, New York; Eyebeam, New York; and Biennale de l’Image en Mouvement, Saint-Gervais, Geneva and in his latest exhibition at the Stedelijk Museum, among others. His work is included in the collections of the Kunsthaus Zürich, Zürich; the Museum of Modern Art, New York; the Whitney Museum of American Art, New York. (Seth Price biography, studio website).

Anne Luther: How did your interest to work with programmers evolve in your practice?

Seth Price: I got into in coding when i was in elementary school. There was a state-funded pilot program with donated Apple IIe computers, and over several years we learned rough concepts of programming, using Terrapin Logo. Later, in sixth and seventh grade, I programmed with MSBasic and tried to teach myself C, which failed. My interest was in making video games. The interactive gaming sequence in my video Industrial Synth uses the actual MacPaint files I made for one of these games in 1986. I took a class in C+ in college. But my brain is not built for math, or numbers, or that kind of abstract quantitative thinking! I can’t conceive of a calendar, or keep track of dates, or do simple computations. So I sucked at coding. For this site I hooked up with some people who knew what they were doing.

AL: You talked in an article in Texte zur Kunst about the project becoming a work of art a year and a half after you released the website anonymously. That’s when you put your name into the FAQ section, a signature of sorts. Would you ever release the algorithm or code that was developed for the work?

SP: Once, we released a Continuous Project issue that was the content of the HTML from our website. In this case, the piece is really about the site as a kind of experience (though there definitely was also a performative element in staging it as an anonymously created object.) I wouldn’t want to focus on the code.

AL: Could you describe why you chose to build a website that shows the data in its current form? I am interested in the choices of distribution, organization and access of the data. Would you release the data as open data or would you allow other individuals to scrape your website or work with an API of sorts?

SP: I feel like I walked away from the project. It’s an abandoned construction site. I’d be hesitant to get involved again, because I feel distant from it now. But it was definitely made to be a standalone site, a place, a kind of location, with a visual language and a feeling. That was as important as the data. This was not just about publicizing the data, or I wouldn’t have made it anonymous. Anonymity really works against any sort of socially conscious idea.

AL: You mentioned on the website that you are working on further development of the tool and other data sets. Is the work a ‘work in progress’ or in other words do you use the information in future works or are you developing any other collaborations that are data-driven/informed by large scale digital data collection?

SP: That whole anonymous ‘About’ page was fictional — the bad grammar, everything. I was never planning to develop the project any further, that was just part of the fiction of a North Korean/Iranian/Russian hacker working on some insane software project.

AL:  Was this work made with an ideal ‘use case’ in mind?

SP: I didn’t think about that. It was an experiment, an opening up of possibility. I now know that the ideal case, realistically speaking, is probably people who work at galleries or auction houses using the comments section to trade anecdotes about collectors.

AL: Organic Software links individuals, to their context of wealth and their affiliations in the art world. Do you consider this work as a form of institutional critique? Two works come to mind that also speak about art collectors and their wealth context and that are shown in galleries and are part of museums collections that they critique: Hans Haacke’s Shapolsky Et Al. Manhattan Real Estate Holdings, A real-time social system, as of May 1, 1971 and Andrea Fraser’s ACTIONS! Countdown from 2013, a slideshow that shows collectors, their political involvement and wealth context and their ‘role’ in the art world.

SP: I did talk to Andrea Fraser while I was working on it, and she told me about the project she was developing, though I don’t know if it had a form yet. She was speaking of it as a book in development, which still sounds great. We were going to compare notes and hook up, but it never happened. I don’t think of this as institutional critique. I tried to design the site in a specific way, so that it wouldn’t read as a social justice project, or internet art, or institutional critique. It was supposed to be blank, odd, and unplaceable. That was as important as the content: make a website that has actual useful information, but the framing is so weird and unplaceable that it doesn’t make sense.  So it’s context art, if you want to place it, but all of my work is a kind of context art, in that sense. It would be similar to the way I would make a painting or a sculpture: explore a language and existing situation, yielding a feeling, and a kind of possibility, and an unknowing, or a lack of sense. I don’t make art with a motivation or a concept or an idea in mind, and this was similar.

AL: A space outside or inside the art world that allows a critical voice towards the financial context of institutions and galleries is hard to define and carve in the current complexity of contemporary art. You talked about a sort of hypocrisy describing the project. Can you talk about this seemingly contradicting motivation for building and releasing the dataset as a work of art?

SP: The hypocrisy would come from someone who thought I am condemning a system, or individuals, while benefiting from it, and I recognize that’s a risk in making something like this. But I don’t think of myself as a critical voice, in doing this. This is more like a self portrait.

AL:  Can you talk about your motivation to build this website – was it motivated by changing the art world’s embeddedness in a current political, economic context or rather to make this embeddedness known in a more tangible and large scale manner?

SP: No, it was personal. Just exploring a feeling. I figure I could never change much in the way you’re talking.

AL: Has your understanding of the information that we find on the website changed in the past year (first year of the Trump administration)?

SP: I don’t think so.

AL: Is there an ideal scenario for the use of the tool for you or was there a certain urgency that informed the conceptualization and production of the work?

SP: You know, there was an urgency, actually, I forgot about this. The urgency was because in 2013 or ‘14 I learned that one of my galleries had sold a work of mine to an Israeli state museum, which I would not have allowed if I’d been asked. But then you get all sorts of questions: maybe museums and art represent the best in an otherwise objectionable state, or at least the possibility of dialogue and expansion and awareness. And then there’s the fact that any fortune is tied to objectionable behavior; many collectors have made their monies in “impure” ways. So I thought it might be good to have a place where one could at least do preliminary research. That was the impetus to start the project. Again, it was personal.

AL: How was the tool perceived in your group of peers? Did anybody use the tool as a frame of reference for changing their access to art works or affiliations to museums?

SP: I have no idea. I think it has been most helpful as a kind of basic ‘Face Book’ where people can see what a certain collector looks like, or go through the Faces page and say, ‘Oh, there’s that guy who was at dinner the other night, let’s find out who he is.’ Social reconnaissance, really. But that’s cool.