How technology disrupted the truth


 in The Guardian: “Social media has swallowed the news – threatening the funding of public-interest reporting and ushering in an era when everyone has their own facts. But the consequences go far beyond journalism…

When a fact begins to resemble whatever you feel is true, it becomes very difficult for anyone to tell the difference between facts that are true and “facts” that are not. The leave campaign was well aware of this – and took full advantage, safe in the knowledge that the Advertising Standards Authority has no power to police political claims. A few days after the vote, Arron Banks, Ukip’s largest donor and the main funder of the Leave.EU campaign, told the Guardian that his side knew all along that facts would not win the day. “It was taking an American-style media approach,” said Banks. “What they said early on was ‘Facts don’t work’, and that’s it. The remain campaign featured fact, fact, fact, fact, fact. It just doesn’t work. You have got to connect with people emotionally. It’s the Trump success.”
It was little surprise that some people were shocked after the result to discover that Brexit might have serious consequences and few of the promised benefits. When “facts don’t work” and voters don’t trust the media, everyone believes in their own “truth” – and the results, as we have just seen, can be devastating.

How did we end up here? And how do we fix it?

Twenty-five years after the first website went online, it is clear that we are living through a period of dizzying transition. For 500 years after Gutenberg, the dominant form of information was the printed page: knowledge was primarily delivered in a fixed format, one that encouraged readers to believe in stable and settled truths.

Now, we are caught in a series of confusing battles between opposing forces: between truth and falsehood, fact and rumour, kindness and cruelty; between the few and the many, the connected and the alienated; between the open platform of the web as its architects envisioned it and the gated enclosures of Facebook and other social networks; between an informed public and a misguided mob.

What is common to these struggles – and what makes their resolution an urgent matter – is that they all involve the diminishing status of truth. This does not mean that there are no truths. It simply means, as this year has made very clear, that we cannot agree on what those truths are, and when there is no consensus about the truth and no way to achieve it, chaos soon follows.

Increasingly, what counts as a fact is merely a view that someone feels to be true – and technology has made it very easy for these “facts” to circulate with a speed and reach that was unimaginable in the Gutenberg era (or even a decade ago). A dubious story about Cameron and a pig appears in a tabloid one morning, and by noon, it has flown around the world on social media and turned up in trusted news sources everywhere. This may seem like a small matter, but its consequences are enormous.

In the digital age, it is easier than ever to publish false information, which is quickly shared and taken to be true. “The Truth”, as Peter Chippindale and Chris Horrie wrote in Stick It Up Your Punter!, their history of the Sun newspaper, is a “bald statement which every newspaper prints at its peril”. There are usually several conflicting truths on any given subject, but in the era of the printing press, words on a page nailed things down, whether they turned out to be true or not. The information felt like the truth, at least until the next day brought another update or a correction, and we all shared a common set of facts.

This settled “truth” was usually handed down from above: an established truth, often fixed in place by an establishment. This arrangement was not without flaws: too much of the press often exhibited a bias towards the status quo and a deference to authority, and it was prohibitively difficult for ordinary people to challenge the power of the press. Now, people distrust much of what is presented as fact – particularly if the facts in question are uncomfortable, or out of sync with their own views – and while some of that distrust is misplaced, some of it is not.

In the digital age, it is easier than ever to publish false information, which is quickly shared and taken to be true – as we often see in emergency situations, when news is breaking in real time. To pick one example among many, during the November 2015 Paris terror attacks, rumours quickly spread on social media that the Louvre and Pompidou Centre had been hit, and that François Hollande had suffered a stroke. Trusted news organisations are needed to debunk such tall tales.

Sometimes rumours like these spread out of panic, sometimes out of malice, and sometimes deliberate manipulation, in which a corporation or regime pays people to convey their message. Whatever the motive, falsehoods and facts now spread the same way, through what academics call an “information cascade”. As the legal scholar and online-harassment expert Danielle Citron describes it, “people forward on what others think, even if the information is false, misleading or incomplete, because they think they have learned something valuable.” This cycle repeats itself, and before you know it, the cascade has unstoppable momentum. You share a friend’s post on Facebook, perhaps to show kinship or agreement or that you’re “in the know”, and thus you increase the visibility of their pot to others.
Algorithms such as the one that powers Facebook’s news feed are designed to give us more of what they think we want – which means that the version of the world we encounter every day in our own personal stream has been invisibly curated to reinforce our pre-existing beliefs. When Eli Pariser, the co-founder of Upworthy, coined the term “filter bubble” in 2011, he was talking about how the personalised web – and in particular Google’s personalised search function, which means that no two people’s Google searches are the same – means that we are less likely to be exposed to information that challenges us or broadens our worldview, and less likely to encounter facts that disprove false information that others have shared.

Pariser’s plea, at the time, was that those running social media platforms should ensure that “their algorithms prioritise countervailing views and news that’s important, not just the stuff that’s most popular or most self-validating”. But in less than five years, thanks to the incredible power of a few social platforms, the filter bubble that Pariser described has become much more extreme.

On the day after the EU referendum, in a Facebook post, the British internet activist and mySociety founder, Tom Steinberg, provided a vivid illustration of the power of the filter bubble – and the serious civic consequences for a world where information flows largely through social networks:

I am actively searching through Facebook for people celebrating the Brexit leave victory, but the filter bubble is SO strong, and extends SO far into things like Facebook’s custom search that I can’t find anyone who is happy *despite the fact that over half the country is clearly jubilant today* and despite the fact that I’m *actively* looking to hear what they are saying.

This echo-chamber problem is now SO severe and SO chronic that I can only beg any friends I have who actually work for Facebook and other major social media and technology to urgently tell their leaders that to not act on this problem now is tantamount to actively supporting and funding the tearing apart of the fabric of our societies … We’re getting countries where one half just doesn’t know anything at all about the other.

But asking technology companies to “do something” about the filter bubble presumes that this is a problem that can be easily fixed – rather than one baked into the very idea of social networks that are designed to give you what you and your friends want to see….(More)”

iStreetWatch


Welcome to iStreetWatch: “We track racist and xenophobic harassment in public spaces. Incidents of racist and anti-migrant abuse are becoming ever more public and ever more prolific. If you have witnessed or experienced racist or xenophobic harassment, please submit your experience here.

We aim to:

  • Make these now everyday incidents visible to a wider community.
  • Help people at risk map which areas are safer to be in.
  • Collect data over time to help monitor the correlation between these incidents and inflammatory speech from the media and politicians.

Everyone has the right to feel safe on the street. For many people, leaving their house means risking verbal and sometimes physical abuse. This site has been created in response to the rise in hate crime following the referendum result. We all have a role to play in making our streets safe for everyone.

If you witness racist or xenophobic harassment, there are other things you can do:

  • Say something: Show you won’t accept this behaviour on our streets.
  • Film it: Providing evidence can be key to making an arrest or charge.
  • Report abuse to the police: There are laws to protect people from abuse and harassment which should be enforced
  • Be safe: Don’t intervene if you think you will escalate the situation….(More)”

Visual Rulemaking


New York University Law Review Paper by Elizabeth G. Porter and Kathryn A. Watts: “Federal rulemaking has traditionally been understood as a text-bound, technocratic process. However, as this Article is the first to uncover, rulemaking stakeholders — including agencies, the President and members of the public — are now deploying politically tinged visuals to push their agendas at every stage of high-stakes, often virulently controversial, rulemakings. Rarely do these visual contributions appear in the official rulemaking record, which remains defined by dense text, lengthy cost-benefit analyses, and expert reports. Perhaps as a result, scholars have overlooked the phenomenon we identify here: the emergence of a visual rulemaking universe that is splashing images, GIFs, and videos across social media channels. While this new universe, which we call “visual rulemaking,” might appear to be wholly distinct from the textual rulemaking universe on which administrative law has long focused, the two are not in fact distinct. Visual politics are seeping into the technocracy.

This Article argues that visual rulemaking is a good thing. It furthers fundamental regulatory values, including transparency and political accountability. It may also facilitate participation by more diverse stakeholders — not merely regulatory insiders who are well-equipped to navigate dense text. Yet we recognize that visual rulemaking poses risks. Visual appeals may undermine the expert-driven foundation of the regulatory state, and some uses may threaten or outright violate key legal doctrines, including the Administrative Procedure Act and longstanding prohibitions on agency lobbying and propaganda. Nonetheless, we conclude that administrative law theory and doctrine ultimately can and should welcome this robust new visual rulemaking culture….(More)”

Why we no longer trust the experts


Gillian Tett in the Financial Times: “Last week, I decided to take a gaggle of kids for an end-of-school-year lunch in a New York neighbourhood that I did not know well. I duly began looking for a suitable restaurant. A decade ago, I would have done that by turning to a restaurant guide. In the world I grew up in, it was normal to seek advice from the “experts”.

But in Manhattan last week, it did not occur to me to consult Fodor’s. Instead, I typed what I needed into my cellphone, scrolled through a long list of online restaurant recommendations, including comments from people who had eaten in them — and picked one.

Yes, it was a leap of faith; those restaurant reviews might have been fake. But there were enough voices for me to feel able to trust the wisdom of the cyber crowds — and, as it happened, our lunch choice was very good.

This is a trivial example of a much bigger change that is under way, and one that has some thought-provoking implications in the wake of the Brexit vote. Before the referendum, British citizens were subjected to a blitz of advice about the potential costs of Brexit from “experts”: economists, central bankers, the International Monetary Fund and world leaders, among others. Indeed, the central strategy of the government (and other “Remainers”) appeared to revolve around wheeling out these experts, with their solemn speeches and statistics….

I suspect that it indicates something else: that citizens of the cyber world no longer have much faith in anything that experts say, not just in the political sphere but in numerous others too. At a time when we increasingly rely on crowd-sourced advice rather than official experts to choose a restaurant, healthcare and holidays, it seems strange to expect voters to listen to official experts when it comes to politics.

In our everyday lives, we are moving from a system based around vertical axes of trust, where we trust people who seem to have more authority than we do, to one predicated on horizontal axes of trust: we take advice from our peer group.

You can see this clearly if you look at the surveys conducted by groups such as the Pew Research Center. These show that faith in institutions such as the government, big business and the media has crumbled in recent years; indeed, almost the only institution in the US that has bucked the trend is the military.

What is even more interesting to look at, however, are the areas where trust remains high. In an annual survey conducted by the Edelman public relations firm, people in 20 countries are asked who they trust. They show rising confidence in the “a person like me” category, and surprisingly high trust in digital technology. We live in a world where we increasingly trust our Facebook friends and the Twitter crowd more than we do the IMF or the prime minister.

In some senses, this is good news. Relying on horizontal axes of trust should mean more democracy and empowerment for ordinary citizens. But the problem of this new world is that people can fall prey to social fads and tribalism — or groupthink…..

Either way, nobody is going to put this genie back into the bottle. So we all need to think about what creates the bonds of “trust” in today’s world. And recognise that the 20th-century model of politics, with its reverence for experts and fixed parties, may eventually seem as outdated as restaurant guides. We live in volatile time…(More)”

Intermediation in Open Development


Katherine M. A. Reilly and Juan P. Alperin at Global Media Journal: “Open Development (OD) is a subset of ICT4D that studies the potential of ITenabled openness to support social change among poor or marginalized populations. Early OD work examined the potential of IT-enabled openness to decentralize power and enable public engagement by disintermediating knowledge production and dissemination. However, in practice, intermediaries have emerged to facilitate open data and related knowledge production activities in development processes. We identify five models of intermediation in OD work: decentralized, arterial, ecosystem, bridging, and communities of practice and examine the implications of each for stewardship of open processes. We conclude that studying OD through these five forms of intermediation is a productive way of understanding whether and how different patterns of knowledge stewardship influence development outcomes. We also offer suggestions for future research that can improve our understanding of how to sustain openness, facilitate public engagement, and ensure that intermediation contributes to open development….(More)”

Due Diligence? We need an app for that


Ken Banks at kiwanja.net: “The ubiquity of mobile phones, the reach of the Internet, the shear number of problems facing the planet, competitions and challenges galore, pots of money and strong media interest in tech-for-good projects has today created the perfect storm. Not a day goes by without the release of an app hoping to solve something, and the fact so many people are building so many apps to fix so many problems can only be a good thing. Right?

The only problem is this. It’s become impossible to tell good from bad, even real from fake. It’s something of a Wild West out there. So it was no surprise to see this happening recently. Quoting The Guardian:

An app which purported to offer aid to refugees lost in the Mediterranean has been pulled from Apple’s App Store after it was revealed as a fake. The I Sea app, which also won a Bronze medal at the Cannes Lions conference on Monday night, presented itself as a tool to help report refugees lost at sea, using real-time satellite footage to identify boats in trouble and highlighting their location to the Malta-based Migrant Offshore Aid Station (Moas), which would provide help.

In fact, the app did nothing of the sort. Rather than presenting real-time satellite footage – a difficult and expensive task – it instead simply shows a portion of a static, unchanging image. And while it claims to show the weather in the southern Mediterranean, that too isn’t that accurate: it’s for Western Libya.

The worry isn’t only that someone would decide to build a fake app which ‘tackles’ such an emotive subject, but the fact that this particular app won an award and received favourable press. Wired, Mashable, the Evening Standard and Reuters all spoke positively about it. Did no-one check that it did what it said it did?

This whole episode reminds me of something Joel Selanikio wrote in his contributing chapter to two books I’ve recently edited and published. In his chapters, which touch on his work on the Magpi data collection tool in addition to some of the challenges facing the tech-for-development community, Joel wrote:

In going over our user activity logs for the online Magpi app, I quickly realised that no-one from any of our funding organisations was listed. Apparently no-one who was paying us had ever seen our working software! This didn’t seem to make sense. Who would pay for software without ever looking at it? And if our funders hadn’t seen the software, what information were they using when they decided whether to fund us each year?

…The shear number of apps available that claim to solve all manner of problems may seem encouraging on the surface – 1,500 (and counting) to help refugees might be a case in point – but how many are useful? How many are being used? How many solve a problem? And how many are real?

Due diligence? Maybe it’s time we had an app for that…(More)”

Post, Mine, Repeat: Social Media Data Mining Becomes Ordinary


Book by Helen Kennedy that “…argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge. These new data relations are characterised by a widespread desire for numbers and the troubling consequences of this desire, and also by the possibility of doing good with data and resisting data power, by new and old concerns, and by instability and contradiction. Drawing on action research with public sector organisations, interviews with commercial social insights companies and their clients, focus groups with social media users and other research, Kennedy provides a fascinating and detailed account of living with social media data mining inside the organisations that make up the fabric of everyday life….(More)”

In Your Neighborhood, Who Draws the Map?


Lizzie MacWillie at NextCity: “…By crowdsourcing neighborhood boundaries, residents can put themselves on the map in critical ways.

Why does this matter? Neighborhoods are the smallest organizing element in any city. A strong city is made up of strong neighborhoods, where the residents can effectively advocate for their needs. A neighborhood boundary marks off a particular geography and calls out important elements within that geography: architecture, street fabric, public spaces and natural resources, to name a few. Putting that line on a page lets residents begin to identify needs and set priorities. Without boundaries, there’s no way to know where to start.

Knowing a neighborhood’s boundaries and unique features allows a group to list its assets. What buildings have historic significance? What shops and restaurants exist? It also helps highlight gaps: What’s missing? What does the neighborhood need more of? What is there already too much of? Armed with this detailed inventory, residents can approach a developer, city council member or advocacy group with hard numbers on what they know their neighborhood needs.

With a precisely defined geography, residents living in a food desert can point to developable vacant land that’s ideal for a grocery store. They can also cite how many potential grocery shoppers live within the neighborhood.

In addition to being able to organize within the neighborhood, staking a claim to a neighborhood, putting it on a map and naming it, can help a neighborhood control its own narrative and tell its story — so someone else doesn’t.

Our neighborhood map project was started in part as a response to consistent misidentification of Dallas neighborhoods by local media, which appears to be particularly common in stories about majority-minority neighborhoods. This kind of oversight can contribute to a false narrative about a place, especially when the news is about crime or violence, and takes away from residents’ ability to tell their story and shape their neighborhood’s future. Even worse is when neighborhoods are completely left off of the map, as if they have no story at all to tell.

Neighborhood mapping can also counter narrative hijacking like I’ve seen in my hometown of Brooklyn, where realtor-driven neighborhood rebranding has led to areas being renamed. These places have their own unique identities and histories, yet longtime residents saw names changed so that real estate sellers could capitalize on increasing property values in adjacent trendy neighborhoods.

Cities across the country — including Dallas, Boston, New York, Chicago,Portland and Seattle — have crowdsourced mapping projects people can contribute to. For cities lacking such an effort, tools like Google Map Maker have been effective….(More)”.

Civic Data Initiatives


Burak Arikan at Medium: “Big data is the term used to define the perpetual and massive data gathered by corporations and governments on consumers and citizens. When the subject of data is not necessarily individuals but governments and companies themselves, we can call it civic data, and when systematically generated in large amounts, civic big data. Increasingly, a new generation of initiatives are generating and organizing structured data on particular societal issues from human rights violations, to auditing government budgets, from labor crimes to climate justice.

These civic data initiatives diverge from the traditional civil society organizations in their outcomes,that they don’t just publish their research as reports, but also open it to the public as a database.Civic data initiatives are quite different in their data work than international non-governmental organizations such as UN, OECD, World Bank and other similar bodies. Such organizations track social, economical, political conditions of countries and concentrate upon producing general statistical data, whereas civic data initiatives aim to produce actionable data on issues that impact individuals directly. The change in the GDP value of a country is useless for people struggling for free transportation in their city. Incarceration rate of a country does not help the struggle of the imprisoned journalists. Corruption indicators may serve as a parameter in a country’s credit score, but does not help to resolve monopolization created with public procurement. Carbon emission statistics do not prevent the energy deals between corrupt governments that destroy the nature in their region.

Needless to say, civic data initiatives also differ from governmental institutions, which are reluctant to share any more that they are legally obligated to. Many governments in the world simply dump scanned hardcopies of documents on official websites instead of releasing machine-readable data, which prevents systematic auditing of government activities.Civic data initiatives, on the other hand, make it a priority to structure and release their data in formats that are both accessible and queryable.

Civic data initiatives also deviate from general purpose information commons such as Wikipedia. Because they consistently engage with problems, closely watch a particular societal issue, make frequent updates,even record from the field to generate and organize highly granular data about the matter….

Several civic data initiatives generate data on variety of issues at different geographies, scopes, and scales. The non-exhaustive list below have information on founders, data sources, and financial support. It is sorted according to each initiative’s founding year. Please send your suggestions to contact at graphcommons.com. See more detailed information and updates on the spreadsheet of civic data initiatives.

Open Secrets tracks data about the money flow in the US government, so it becomes more accessible for journalists, researchers, and advocates.Founded as a non-profit in 1983 by Center for Responsive Politics, gets support from variety of institutions.

PolitiFact is a fact-checking website that rates the accuracy of claims by elected officials and others who speak up in American politics. Uses on-the-record interviews as its data source. Founded in 2007 as a non-profit organization by Tampa Bay Times. Supported by Democracy Fund, Bill &Melinda Gates Foundation, John S. and James L. Knight Foundation, FordFoundation, Knight Foundation, Craigslist Charitable Fund, and the CollinsCenter for Public Policy…..

La Fabrique de La loi (The Law Factory) maps issues of local-regional socio-economic development, public investments, and ecology in France.Started in 2014, the project builds a database by tracking bills from government sources, provides a search engine as well as an API. The partners of the project are CEE Sciences Po, médialab Sciences Po, RegardsCitoyens, and Density Design.

Mapping Media Freedom identifies threats, violations and limitations faced by members of the press throughout European Union member states,candidates for entry and neighbouring countries. Initiated by Index onCensorship and European Commission in 2004, the project…(More)”

Social Networks and Protest Participation: Evidence from 93 Million Twitter Users


Paper by Jennifer Larson et al for Political Networks Workshops & Conference 2016: “Pinning down the role of social ties in the decision to protest has been notoriously elusive, largely due to data limitations. The era of social media and its global use by protesters offers an unprecedented opportunity to observe real-time social ties and online behavior, though often without an attendant measure of real-world behavior. We collect data on Twitter activity during the 2015 Charlie Hebdo protests in Paris which, unusually, record both real-world protest attendance and high-resolution network structure. We specify a theory of participation in which an individual’s decision depends on her exposure to others’ intentions, and network position determines exposure. Our findings are strong and consistent with this theory, showing that, relative to comparable Twitter users, protesters are significantly more connected to one another via direct, indirect, triadic, and reciprocated ties. These results offer the first large-scale empirical support for the claim that social network structure influences protest participation….(More)’