The biggest pandemic risk? Viral misinformation


Heidi J. Larson at Nature: “A hundred years ago this month, the death rate from the 1918 influenza was at its peak. An estimated 500 million people were infected over the course of the pandemic; between 50 million and 100 million died, around 3% of the global population at the time.

A century on, advances in vaccines have made massive outbreaks of flu — and measles, rubella, diphtheria and polio — rare. But people still discount their risks of disease. Few realize that flu and its complications caused an estimated 80,000 deaths in the United States alone this past winter, mainly in the elderly and infirm. Of the 183 children whose deaths were confirmed as flu-related, 80% had not been vaccinated that season, according to the US Centers for Disease Control and Prevention.

I predict that the next major outbreak — whether of a highly fatal strain of influenza or something else — will not be due to a lack of preventive technologies. Instead, emotional contagion, digitally enabled, could erode trust in vaccines so much as to render them moot. The deluge of conflicting information, misinformation and manipulated information on social media should be recognized as a global public-health threat.

So, what is to be done? The Vaccine Confidence Project, which I direct, works to detect early signals of rumours and scares about vaccines, and so to address them before they snowball. The international team comprises experts in anthropology, epidemiology, statistics, political science and more. We monitor news and social media, and we survey attitudes. We have also developed a Vaccine Confidence Index, similar to a consumer-confidence index, to track attitudes.

Emotions around vaccines are volatile, making vigilance and monitoring crucial for effective public outreach. In 2016, our project identified Europe as the region with the highest scepticism around vaccine safety (H. J. Larson et al. EBioMedicine 12, 295–301; 2016). The European Union commissioned us to re-run the survey this summer; results will be released this month. In the Philippines, confidence in vaccine safety dropped from 82% in 2015 to 21% in 2018 (H. J. Larson et al. Hum. Vaccines Immunother. https://doi.org/10.1080/21645515.2018.1522468; 2018), after legitimate concerns arose about new dengue vaccines. Immunization rates for established vaccines for tetanus, polio, tetanus and more also plummeted.

We have found that it is useful to categorize misinformation into several levels….(More).

The future’s so bright, I gotta wear blinders


Nicholas Carr’s blog: “A few years ago, the technology critic Michael Sacasas introduced the term “Borg Complex” to describe the attitude and rhetoric of modern-day utopians who believe that computer technology is an unstoppable force for good and that anyone who resists or even looks critically at the expanding hegemony of the digital is a benighted fool. (The Borg is an alien race in Star Trekthat sucks up the minds of other races, telling its victims that “resistance is futile.”) Those afflicted with the complex, Sacasas observed, rely on a a set of largely specious assertions to dismiss concerns about any ill effects of technological progress. The Borgers are quick, for example, to make grandiose claims about the coming benefits of new technologies (remember MOOCs?) while dismissing past cultural achievements with contempt (“I don’t really give a shit if literary novels go away”).

To Sacasas’s list of such obfuscating rhetorical devices, I would add the assertion that we are “only at the beginning.” By perpetually refreshing the illusion that progress is just getting under way, gadget worshippers like Kelly are able to wave away the problems that progress is causing. Any ill effect can be explained, and dismissed, as just a temporary bug in the system, which will soon be fixed by our benevolent engineers. (If you look at Mark Zuckerberg’s responses to Facebook’s problems over the years, you’ll find that they are all variations on this theme.) Any attempt to put constraints on technologists and technology companies becomes, in this view, a short-sighted and possibly disastrous obstruction of technology’s march toward a brighter future for everyone — what Kelly is still calling the “long boom.” You ain’t seen nothing yet, so stay out of our way and let us work our magic.

In his books Empire and Communication (1950) and The Bias of Communication (1951), the Canadian historian Harold Innis argued that all communication systems incorporate biases, which shape how people communicate and hence how they think. These biases can, in the long run, exert a profound influence over the organization of society and the course of history. “Bias,” it seems to me, is exactly the right word. The media we use to communicate push us to communicate in certain ways, reflecting, among other things, the workings of the underlying technologies and the financial and political interests of the businesses or governments that promulgate the technologies. (For a simple but important example, think of the way personal correspondence has been changed by the shift from letters delivered through the mail to emails delivered via the internet to messages delivered through smartphones.) A bias is an inclination. Its effects are not inevitable, but they can be strong. To temper them requires awareness and, yes, resistance.

For much of this year, I’ve been exploring the biases of digital media, trying to trace the pressures that the media exert on us as individuals and as a society. I’m far from done, but it’s clear to me that the biases exist and that at this point they have manifested themselves in unmistakable ways. Not only are we well beyond the beginning, but we can see where we’re heading — and where we’ll continue to head if we don’t consciously adjust our course….(More)”.

Challenges facing social media platforms in conflict prevention in Kenya since 2007: A case of Ushahidi platform


Paper by A.K. Njeru, B. Malakwen and M. Lumala in the International Academic Journal of Social Sciences and Education: “Throughout history information is a key factor in conflict management around the world. The media can play its important role of being the society’s watch dog of the society, by exposing to the masses what is essential but hidden, however the same media may also be used to mobilize masses to violence. Social media can therefore act as a tool for widening the democratic space, but can also lead to destabilization of peace.

The aim of the study was to establish the challenges facing social media platforms in conflict prevention in Kenya since 2007: a case of Ushahidi platform in Kenya. The paradigm that was found suitable for this study is Pragmatism. The study used a mixed approach. In this study, interviews, focus group discussions and content analysis of the Ushahidi platform were chosen as the tools of data collection. In order to bring order, structure and interpretation to the collected data, the researcher systematically organized the data by coding it into categories and constructing matrixes. After classifying the data, the researcher compared and contrasted it to the information retrieved from the literature review.

The study found that One major weak point social media as a tool for conflict prevention is the lack of ethical standards and professionalism for the users. It is too liberal and thus can be used to spread unverified information and distorted facts that might be detrimental to peace building and conflict prevention. This has led to some of the users already questioning the credibility of the information that is circulated through social media. The other weak point about social media as tool for peace building is that it is dependent to a major extent on the access to internet. The availability of internet in low units doesn’t necessarily mean cheap access. So over time the high cost of internet might affect the efficiency of the social media as a tool. The study concluded that information credibility is essential if social media as a tool is to be effective in conflict prevention and peace building.

The nature of social media which allows for anonymity of identity gives room for unverified information to be floated around the social media networks; this can be detrimental to the conflict prevention and peace building initiatives. There is therefore need for information verification and authentication by a trusted agent, to offer information appertaining to violence, conflict prevention and peace building on the social media platforms. The study recommends that Ushahidi platform should be seen as an agent of social change and should discuss the social mobilization which may be able to bring about. The study further suggest that if we can look at Ushahidi platform as a development agent, can we then take this a step further and ask, or try to find, a methodology that looks at the Ushahidi platform as peacemaking agent, or to assist in the maintenance of peace in a post-conflict thereby tapping into Ushahidi platform’s full potential….(More)”.

‘Do Not Track,’ the Privacy Tool Used by Millions of People, Doesn’t Do Anything


Kashmir Hill at Gizmodo: “When you go into the privacy settings on your browser, there’s a little option there to turn on the “Do Not Track” function, which will send an invisible request on your behalf to all the websites you visit telling them not to track you. A reasonable person might think that enabling it will stop a porn site from keeping track of what she watches, or keep Facebook from collecting the addresses of all the places she visits on the internet, or prevent third-party trackers she’s never heard of from following her from site to site. According to a recent survey by Forrester Research, a quarter of American adults use “Do Not Track” to protect their privacy. (Our own stats at Gizmodo Media Group show that 9% of visitors have it turned on.) We’ve got bad news for those millions of privacy-minded people, though: “Do Not Track” is like spray-on sunscreen, a product that makes you feel safe while doing little to actually protect you.

“Do Not Track,” as it was first imagined a decade ago by consumer advocates, was going to be a “Do Not Call” list for the internet, helping to free people from annoying targeted ads and creepy data collection. But only a handful of sites respect the request, the most prominent of which are Pinterest and Medium. (Pinterest won’t use offsite data to target ads to a visitor who’s elected not to be tracked, while Medium won’t send their data to third parties.) The vast majority of sites, including this one, ignore it….(More)”.

How pro-trust initiatives are taking over the Internet


Sara Fisher at Axios: “Dozens of new initiatives have launched over the past few years to address fake news and the erosion of faith in the media, creating a measurement problem of its own.

Why it matters: So many new efforts are launching simultaneously to solve the same problem that it’s become difficult to track which ones do what and which ones are partnering with each other….

To name a few:

  • The Trust Project, which is made up of dozens of global news companies, announced this morning that the number of journalism organizations using the global network’s “Trust Indicators” now totals 120, making it one of the larger global initiatives to combat fake news. Some of these groups (like NewsGuard) work with Trust Project and are a part of it.
  • News Integrity Initiative (Facebook, Craig Newmark Philanthropic Fund, Ford Foundation, Democracy Fund, John S. and James L. Knight Foundation, Tow Foundation, AppNexus, Mozilla and Betaworks)
  • NewsGuard (Longtime journalists and media entrepreneurs Steven Brill and Gordon Crovitz)
  • The Journalism Trust Initiative (Reporters Without Borders, and Agence France Presse, the European Broadcasting Union and the Global Editors Network )
  • Internews (Longtime international non-profit)
  • Accountability Journalism Program (American Press Institute)
  • Trusting News (Reynolds Journalism Institute)
  • Media Manipulation Initiative (Data & Society)
  • Deepnews.ai (Frédéric Filloux)
  • Trust & News Initiative (Knight Foundation, Facebook and Craig Newmark in. affiliation with Duke University)
  • Our.News (Independently run)
  • WikiTribune (Wikipedia founder Jimmy Wales)

There are also dozens of fact-checking efforts being championed by different third-parties, as well as efforts being built around blockchain and artificial intelligence.

Between the lines: Most of these efforts include some sort of mechanism for allowing readers to physically discern real journalism from fake news via some sort of badge or watermark, but that presents problems as well.

  • Attempts to flag or call out news as being real and valid have in the past been rejected even further by those who wish to discredit vetted media.
  • For example, Facebook said in December that it will no longer use “Disputed Flags” — red flags next to fake news articles — to identify fake news for users, because it found that “putting a strong image, like a red flag, next to an article may actually entrench deeply held beliefs – the opposite effect to what we intended.”…(More)”.

Study: Crowdsourced Hospital Ratings May Not Be Fair


Samantha Horton at WFYI: “Though many websites offer non-scientific ratings on a number of services, two Indiana University scientists say judging hospitals that way likely isn’t fair.

Their recently-released study compares the federal government’s Hospital Compare and crowdsourced sites such as Facebook, Yelp and Google. The research finds it’s difficult for people to accurately understand everything a hospital does, and that leads to biased ratings.

Patient experiences with food, amenities and bedside manner often aligns with federal government ratings. But IU professor Victoria Perez says judging quality of care and safety is much more nuanced and people often get it wrong.

“About 20 percent of the hospitals rated best within a local market on social media were rated worst in that market by Hospital Compare in terms of patient health outcomes,” she says.

For the crowdsourced ratings to be more useful, Perez says people would have to know how to cross-reference them with a more reliable data source, such as Hospital Compare. But even that site can be challenging to navigate depending on what the consumer is looking for.

“If you have a condition-specific concern and you can see the clinical measure for a hospital that may be helpful,” says Perez. “But if your particular medical concern is not listed there, it might be hard to extrapolate from the ones that are listed or to know which ones you should be looking at.”

She says consumers would need more information about patient outcomes and other quality metrics to be able to reliably crowdsource a hospital on a site such as Google…(More)”.

Statistics and data science degrees: Overhyped or the real deal?


 at The Conversation“Data science” is hot right now. The number of undergraduate degrees in statistics has tripled in the past decade, and as a statistics professor, I can tell you that it isn’t because freshmen love statistics.

Way back in 2009, economist Hal Varian of Google dubbed statistician the “next sexy job.” Since then, statistician, data scientist and actuary have topped various “best jobs” lists. Not to mention the enthusiastic press coverage of industry applications: Machine learning! Big dataAIDeep learning!

But is it good advice? I’m going to voice an unpopular opinion for the sake of starting a conversation. Stats is indeed useful, but not in the way that the popular media – and all those online data science degree programs – seem to suggest….

While all the press tends to go to the sensationalist applications – computers that watch cat videos, anyone? – the data science boom reflects a broad increase in demand for data literacy, as a baseline requirement for modern jobs.

The “big data era” doesn’t just mean large amounts of data; it also means increased ease and ability to collect data of all types, in all walks of life. Although the big five tech companies – Google, Apple, Amazon, Facebook and Microsoft – represent about 10 percent of the U.S. market cap and dominate the public imagination, they employ only one-half of one percent of all employees.

Therefore, to be a true revolution, data science will need to infiltrate nontech industries. And it is. The U.S. has seen its impact on political campaigns. I myself have consulted in the medical devices sector. A few years back, Walmart held a data analysis competition as a recruiting tool. The need for people that can dig into the data and parse it is everywhere.

In a speech at the National Academy of Sciences in 2015, Steven “Freakonomics” Levitt related his insights about the need for data-savvy workers, based on his experience as a sought-after consultant in fields ranging from the airline industry to fast food….(More)”.

Can the UN Include Indigenous Peoples in its Development Goals?: There’s An App For That


Article by Jacquelyn Kovarik at NACA: “…Last year, during a high-level event of the General Assembly, a coalition of states along with the European Union and the International Labour Organization announced a new technology for monitoring the rights of Indigenous people. The proposal was a web application called “Indigenous Navigator,” designed to enable native peoples to monitor their rights from within their communities. The project is extremely seductive: why rely on the General Assembly to represent Indigenous peoples when they can represent themselves—remotely and via cutting-edge data-collecting technology? Could an app be the answer to over a decade of failed attempts to include Indigenous peoples in the international body?

The web application, which officially launched in 11 countries early this year, is comprised of four “community-based monitoring tools” that are designed to bridge the gap between Indigenous rights implementation and the United Nations goals. The toolbox, which is available open-access to anyone with internet, consists of: a set of two impressively comprehensive surveys designed to collect data on Indigenous rights at a community and national level; a comparative matrix that illustrates the links between the UN Declaration on Indigenous Rights and the UN development goals; an index designed to quickly compare Indigenous realities across communities, regions, or states; and a set of indicators designed to measure the realization of Indigenous rights in communities or states. The surveys are divided by sections based on the UN Declaration on the Rights of Indigenous Peoples, and include such categories as cultural integrity, land rights, access to justice, health, cross-border contacts, freedom of expression and media, education, and economic and social development. The surveys also include tips for methodological administration. For example, in questions about poverty rates in the community, a tip provided reads: “Most people/communities have their own criteria for defining who are poor and who are not poor. Here you are asked to estimate how many of the men of your people/community are considered poor, according to your own criteria for poverty.” It then suggests that it may be helpful to first discuss what are the perceived characteristics of a poor person within the community, before answering the question….(More)”.

Text Analysis Systems Mine Workplace Emails to Measure Staff Sentiments


Alan Rothman at LLRX: “…For all of these good, bad or indifferent workplaces, a key question is whether any of the actions of management to engage the staff and listen to their concerns ever resulted in improved working conditions and higher levels of job satisfaction?

The answer is most often “yes”. Just having a say in, and some sense of control over, our jobs and workflows can indeed have a demonstrable impact on morale, camaraderie and the bottom line. As posited in the Hawthorne Effect, also termed the “Observer Effect”, this was first discovered during studies in the 1920’s and 1930’s when the management of a factory made improvements to the lighting and work schedules. In turn, worker satisfaction and productivity temporarily increased. This was not so much because there was more light, but rather, that the workers sensed that management was paying attention to, and then acting upon, their concerns. The workers perceived they were no longer just cogs in a machine.

Perhaps, too, the Hawthorne Effect is in some ways the workplace equivalent of the Heisenberg’s Uncertainty Principle in physics. To vastly oversimplify this slippery concept, the mere act of observing a subatomic particle can change its position.¹

Giving the processes of observation, analysis and change at the enterprise level a modern (but non-quantum) spin, is a fascinating new article in the September 2018 issue of The Atlantic entitled What Your Boss Could Learn by Reading the Whole Company’s Emails, by Frank Partnoy.  I highly recommend a click-through and full read if you have an opportunity. I will summarize and annotate it, and then, considering my own thorough lack of understanding of the basics of y=f(x), pose some of my own physics-free questions….

Today the text analytics business, like the work done by KeenCorp, is thriving. It has been long-established as the processing behind email spam filters. Now it is finding other applications including monitoring corporate reputations on social media and other sites.²

The finance industry is another growth sector, as investment banks and hedge funds scan a wide variety of information sources to locate “slight changes in language” that may point towards pending increases or decreases in share prices. Financial research providers are using artificial intelligence to mine “insights” from their own selections of news and analytical sources.

But is this technology effective?

In a paper entitled Lazy Prices, by Lauren Cohen (Harvard Business School and NBER), Christopher Malloy (Harvard Business School and NBER), and Quoc Nguyen (University of Illinois at Chicago), in a draft dated February 22, 2018, these researchers found that the share price of company, in this case NetApp in their 2010 annual report, measurably went down after the firm “subtly changes” its reporting “descriptions of certain risks”. Algorithms can detect such changes more quickly and effectively than humans. The company subsequently clarified in its 2011 annual report their “failure to comply” with reporting requirements in 2010. A highly skilled stock analyst “might have missed that phrase”, but once again its was captured by “researcher’s algorithms”.

In the hands of a “skeptical investor”, this information might well have resulted in them questioning the differences in the 2010 and 2011 annual reports and, in turn, saved him or her a great deal of money. This detection was an early signal of a looming decline in NetApp’s stock. Half a year after the 2011 report’s publication, it was reported that the Syrian government has bought the company and “used that equipment to spy on its citizen”, causing further declines.

Now text analytics is being deployed at a new target: The composition of employees’ communications. Although it has been found that workers have no expectations of privacy in their workplaces, some companies remain reluctant to do so because of privacy concerns. Thus, companies are finding it more challenging to resist the “urge to mine employee information”, especially as text analysis systems continue to improve.

Among the evolving enterprise applications are the human resources departments in assessing overall employee morale. For example, Vibe is such an app that scans through communications on Slack, a widely used enterprise platform. Vibe’s algorithm, in real-time reporting, measures the positive and negative emotions of a work team….(More)”.

Whither large International Non-Governmental Organisations?


Working Paper by Penny Lawrence: “Large international non-government organisations (INGOs) seem to be in an existential crisis in their role in the fight for social justice. Many, such as Save the Children or Oxfam, have become big well-known brands with compliance expectations similar to big businesses. Yet the public still imagine them to be run by volunteers. Their context is changing so fast, and so unpredictably, that they are struggling to keep up. It is a time of extraordinary disruptive change including the digital transformation, changing societal norms and engagement expectations and political upheaval and challenge. Fifteen years ago the political centre-ground in the UK seemed firm, with expanding space for civil society organisations to operate. Space for civil society voice now seems more threatened and challenged (Kenny 2015).

There has been a decline in trust in large charities in particular, partly as a result of their own complacency, acting as if the argument for aid has been won. Partly as a result of questioned practices e.g. the fundraising scandal of 2016/17 (where repeated mail drops to individuals requesting funds caused public backlash) and the safeguarding scandal of 2018 (where historic cases of sexual abuse by INGO staff, including Oxfam, were revisited by media in the wake of the #me too movement). This is also partly as a result of political challenge on INGOs’ advocacy and influencing role, their bias and their voice:

‘Some government ministers regard the charity sector with suspicion because it largely employs senior people with a left-wing perspective on life and because of other unfair criticisms of government it means there is regularly a tension between big charities and the conservative party’ Richard Wilson (Former Minister for Civil Society) 2018

On the other hand many feel that charities who have taken significant contracts to deliver services for the state have forfeited their independent voice and lost their way:

‘The voluntary sector risks declining over the next ten years into a mere instrument of a shrunken state, voiceless and toothless, unless it seizes the agenda and creates its own vision.’ Professor Nicholas Deakin 2014

It’s a tough context to be leading an INGO through, but INGOs have appeared ill prepared and slow to respond to the threats and opportunities, not realising how much they may need to change to respond to the fast evolving context and expectations. Large INGOs spend most of their energy exploiting present grant and contract business models, rather than exploring the opportunities to overcome poverty offered by such disruptive change. Their size and structures do not enable agility. They are too internally focused and self-referencing at a time when the world around them is changing so fast, and when political sands have shifted. Focussing on the internationalisation of structures and decision-making means large INGOs are ‘defeated by our own complexity’, as one INGO interviewee put it.

The purpose of this paper is to stimulate thinking amongst large INGOs at a time of such extraordinary disruptive change. The paper explores options for large INGOs, in terms of function and structure. After outlining large INGOs’ history, changing context, value and current thinking, it explores learning from others outside the development sector before suggesting the emerging options. It reflects on what’s encouraging and what’s stopping change and offers possible choices and pathways forwards….(More)”.