Computational Propaganda and Political Big Data: Moving Toward a More Critical Research Agenda


Gillian Bolsover and Philip Howard in the Journal Big Data: “Computational propaganda has recently exploded into public consciousness. The U.S. presidential campaign of 2016 was marred by evidence, which continues to emerge, of targeted political propaganda and the use of bots to distribute political messages on social media. This computational propaganda is both a social and technical phenomenon. Technical knowledge is necessary to work with the massive databases used for audience targeting; it is necessary to create the bots and algorithms that distribute propaganda; it is necessary to monitor and evaluate the results of these efforts in agile campaigning. Thus, a technical knowledge comparable to those who create and distribute this propaganda is necessary to investigate the phenomenon.

However, viewing computational propaganda only from a technical perspective—as a set of variables, models, codes, and algorithms—plays into the hands of those who create it, the platforms that serve it, and the firms that profit from it. The very act of making something technical and impartial makes it seem inevitable and unbiased. This undermines the opportunities to argue for change in the social value and meaning of this content and the structures in which it exists. Big-data research is necessary to understand the socio-technical issue of computational propaganda and the influence of technology in politics. However, big data researchers must maintain a critical stance toward the data being used and analyzed so as to ensure that we are critiquing as we go about describing, predicting, or recommending changes. If research studies of computational propaganda and political big data do not engage with the forms of power and knowledge that produce it, then the very possibility for improving the role of social-media platforms in public life evaporates.

Definitionally, computational propaganda has two important parts: the technical and the social. Focusing on the technical, Woolley and Howard define computational propaganda as the assemblage of social-media platforms, autonomous agents, and big data tasked with the manipulation of public opinion. In contrast, the social definition of computational propaganda derives from the definition of propaganda—communications that deliberately misrepresent symbols, appealing to emotions and prejudices and bypassing rational thought, to achieve a specific goal of its creators—with computational propaganda understood as propaganda created or disseminated using computational (technical) means…(More) (Full Text HTMLFull Text PDF)

Behind the Screen: the Syrian Virtual Resistance


Billie Jeanne Brownlee at Cyber Orient: “Six years have gone by since the political upheaval that swept through many Middle East and North African (MENA) countries begun. Syria was caught in the grip of this revolutionary moment, one that drove the country from a peaceful popular mobilisation to a deadly fratricide civil war with no apparent way out.

This paper provides an alternative approach to the study of the root causes of the Syrian uprising by examining the impact that the development of new media had in reconstructing forms of collective action and social mobilisation in pre-revolutionary Syria.

By providing evidence of a number of significant initiatives, campaigns and acts of contentious politics that occurred between 2000 and 2011, this paper shows how, prior to 2011, scholarly work on Syria has not given sufficient theoretical and empirical consideration to the development of expressions of dissent and resilience of its cyberspace and to the informal and hybrid civic engagement they produced….(More)”.

Code and Clay, Data and Dirt: Five Thousand Years of Urban Media


Book by Shannon Mattern: “For years, pundits have trumpeted the earthshattering changes that big data and smart networks will soon bring to our cities. But what if cities have long been built for intelligence, maybe for millennia? In Code and Clay, Data and Dirt Shannon Mattern advances the provocative argument that our urban spaces have been “smart” and mediated for thousands of years.

Offering powerful new ways of thinking about our cities, Code and Clay, Data and Dirt goes far beyond the standard historical concepts of origins, development, revolutions, and the accomplishments of an elite few. Mattern shows that in their architecture, laws, street layouts, and civic knowledge—and through technologies including the telephone, telegraph, radio, printing, writing, and even the human voice—cities have long negotiated a rich exchange between analog and digital, code and clay, data and dirt, ether and ore.

Mattern’s vivid prose takes readers through a historically and geographically broad range of stories, scenes, and locations, synthesizing a new narrative for our urban spaces. Taking media archaeology to the city’s streets, Code and Clay, Data and Dirt reveals new ways to write our urban, media, and cultural histories….(More)”.

Who Can You Trust? How Technology Brought Us Together and Why It Might Drive Us Apart


Book by Rachel Botsman: “If you can’t trust those in charge, who can you trust? From government to business, banks to media, trust in institutions is at an all-time low. But this isn’t the age of distrust–far from it.

In this revolutionary book, world-renowned trust expert Rachel Botsman reveals that we are at the tipping point of one of the biggest social transformations in human history–with fundamental consequences for everyone. A new world order is emerging: we might have lost faith in institutions and leaders, but millions of people rent their homes to total strangers, exchange digital currencies, or find themselves trusting a bot. This is the age of “distributed trust,” a paradigm shift driven by innovative technologies that are rewriting the rules of an all-too-human relationship.
If we are to benefit from this radical shift, we must understand the mechanics of how trust is built, managed, lost, and repaired in the digital age. In the first book to explain this new world, Botsman provides a detailed map of this uncharted landscape–and explores what’s next for humanity”

The social preferences of local citizens and spontaneous volunteerism during disaster relief operations


Paper by Samuel Roscoe et al: “Existing studies on disaster relief operations (DRO) pay limited attention to acts of spontaneous volunteerism by local citizens in the aftermath of disasters. The purpose of this paper is to explore how social preferences motivate citizens to help during post-disaster situations; above and beyond their own self-regarding interests. The paper begins by synthesizing the literature on social preferences from the field of behavioral economics and social psychology with the discourse surrounding behavioral operations management and humanitarian operations management (HOM). By doing so, we identify the motivators, enablers and barriers of local citizen response during disaster relief operations. These factors inform a theoretical framework of the social preferences motivating spontaneous volunteerism in post-disaster situations. We evidence facets of the framework using archival and unstructured data retrieved from Twitter feeds generated by local citizens during the floods that hit Chennai, India in 2015. Our model highlights the importance of individual level action during disaster relief operations and the enabling role of social media as a coordination mechanism for such efforts….(More)”.

Reputation What It Is and Why It Matters


Book by Gloria Origgi: “Reputation touches almost everything, guiding our behavior and choices in countless ways. But it is also shrouded in mystery. Why is it so powerful when the criteria by which people and things are defined as good or bad often appear to be arbitrary? Why do we care so much about how others see us that we may even do irrational and harmful things to try to influence their opinion? In this engaging book, Gloria Origgi draws on philosophy, social psychology, sociology, economics, literature, and history to offer an illuminating account of an important yet oddly neglected subject.

Origgi examines the influence of the Internet and social media, as well as the countless ranking systems that characterize modern society and contribute to the creation of formal and informal reputations in our social relations, in business, in politics, in academia, and even in wine. She highlights the importance of reputation to the effective functioning of the economy and e-commerce. Origgi also discusses the existential significance of our obsession with reputation, concluding that an awareness of the relationship between our reputation and our actions empowers us to better understand who we are and why we do what we do….(More)”.

‘Big Data’ Tells Thailand More About Jobs Than Low Unemployment


Suttinee Yuvejwattana at Bloomberg: “Thailand has one of the lowest unemployment rates in the world, which doesn’t always fit the picture of an emerging-market economy that’s struggling to get growth going.

 To get a fuller picture of what’s happening in the labor market — as well as in other under-reported industries in the economy, like the property market — the central bank is increasingly turning to “big data” sources drawn from social media and online stores to supplement official figures.

The Bank of Thailand is building its own employment index based on data from online jobs-search portals and is also creating a property indicator to give it a better sense of supply and demand in the housing market.

“We want to do evidence-based policy so big data is useful,” Jaturong Jantarangs, an assistant governor at the Bank of Thailand, said in an interview in Bangkok. “It’s not only a benefit to monetary policy but financial policy as well.”…

“Official data can’t capture the whole picture of the economy,” said Somprawin Manprasert, Bangkok-based head of research at Bank of Ayudhya Pcl. “We have a big informal sector. Many people are self-employed. This leads to a low unemployment rate.”

“The big data can show all aspects, so it can help us to solve the problems where they are,” he said…

Thailand’s military administration is also trying to harness big data to improve policy decisions, Digital Economy and Society Minister Pichet Durongkaveroj said in an interview last month. Pichet said he’s been tasked to look into digitizing, integrating and analyzing information across more than 200 government departments.

Santitarn Sathirathai, head of emerging Asia economics at Credit Suisse Group AG in Singapore, said big data analytics can be used to better target policy responses as well as allow timely evaluation of past programs. At the same time, he called on authorities to make their data more readily available to the public.

“The government should not just view big data analytics as being solely about it using richer data but also about creating a more open data environment,” he said. That’s to ensure “people can have better access to many government non-sensitive datasets and help conduct analysis that could complement the policy makers,” he said….(More)”.

Mixed Messages? The Limits of Automated Social Media Content Analysis


CDT Paper by Natasha Duarte, Emma Llanso and Anna Loup: “Governments and companies are turning to automated tools to make sense of what people post on social media, for everything ranging from hate speech detection to law enforcement investigations. Policymakers routinely call for social media companies to identify and take down hate speech, terrorist propaganda, harassment, “fake news” or disinformation, and other forms of problematic speech. Other policy proposals have focused on mining social media to inform law enforcement and immigration decisions. But these proposals wrongly assume that automated technology can accomplish on a large scale the kind of nuanced analysis that humans can accomplish on a small scale.

This paper explains the capabilities and limitations of tools for analyzing the text of social media posts and other online content. It is intended to help policymakers understand and evaluate available tools and the potential consequences of using them to carry out government policies. This paper focuses specifically on the use of natural language processing (NLP) tools for analyzing the text of social media posts. We explain five limitations of these tools that caution against relying on them to decide who gets to speak, who gets admitted into the country, and other critical determinations. This paper concludes with recommendations for policymakers and developers, including a set of questions to guide policymakers’ evaluation of available tools….(More)”.

How Muckrakers Use Crowdsourcing: Case Studies from ProPublica to The Guardian


Toby McIntosh at Global Investigative Journalism:”…Creative use of social media provides new ways for journalists not just to solicit tips, but also to tap readers’ expertise, opinions and personal experiences.

A stronger ethos of reader engagement is resulting in more sophisticated appeals from journalists for assistance with investigations, including:

  • Seeking tips on very defined topics
  • Asking readers to talk about their experiences on broad subjects
  • Inviting comments after publication

Here are examples of what your colleagues are doing:

Hey, Shell Employees!

Dutch reporter Jelmer Mommers of Dutch news site De Correspondent appealed directly to Shell employees for information in a lengthy blog post, as described in this article. The resulting investigation revealed that Shell had detailed knowledge of the dangers of climate change more than a quarter century ago.

Along the way, in what Jelmer calls “the most romantic moment,” came the surprise delivery of a box full of internal documents. De Correspondent’s emphasis on communicating with subscribers is described here.

Call for Childbirth Experiences

Getting reader input in advance was key to a major U.S. story on maternal health to which thousands of people contributed. ProPublica  engagement reporter Adriana Gallardo and her colleagues published a questionnaire in February of 2017 aimed at women who had experienced life-threatening complications in childbirth.

Using a variety of social media channels, Gallardo, along with ProPublica’s Nina Martin and NPR’s Renee Montagne, received several thousand responses. The personal stories fueled a series and the connections made are still being maintained for follow-up work. Read more in this this GIJN article.

Testimonials from Mexico’s Drug War

Anyone’s Child Mexico” is a documentary about the families affected by Mexico’s drug war. To gather stories, the producers of the documentary publicized a free phone line through local partners and asked people across Mexico to call in and recount their stories.

Callers could also listen to other testimonials. With funding from the University of Bristol’s Brigstow Institute, producers Matthew Brown, Ewan Cass-Kavanagh, Mary Ryder and Jane Slater created a website to bring together audio, photos, video and text and tell harrowing stories of a country ravaged by violence….(More)”.

India Social: How Social Media Is Leading The Charge And Changing The Country


Book excerpt of Ankit Lal’s book ‘India Social’: on “How social media showed its unique power of crowdsourcing during the Chennai floods…

One ingenious resource that was circulated widely during the floods was a crowdsourced effort that mapped inundated roads in the city. Over 2,500 flooded roads were added to the city’s map via social media, which was put together by engineer and information designer, Arun Ganesh.

The Chennai floods were a superb example of the power of collective effort. Users across social media channels came together to offer shelter, food, transport, and even a place for people to charge their phones. SOS messages asking ground teams to rescue stranded family members also went back and forth, and there were many who offered their homes and offices to those who were stranded.

Perhaps the most simple yet effective tool during the floods was the website chennairains.org.

It began as a simple Google spreadsheet. Sowmya Rao was trying to help her uncle and aunt figure out whether it was safe to stay in their house in suburban Chennai or move to a friend’s place. When she found out that the area they lived in was under severe risk of flooding, she relayed the message to them. But she felt helpless about the countless others who were facing the same plight as her relatives. Acting on a suggestion by another Twitter user, she created the Google spreadsheet that went on to become the website chennairains.org.

The idea was simple: crowdsource details about those who could offer shelter, and pass it on to those who were tweeting about rising waters. A hastily put-together spreadsheet soon blossomed into a multi-faceted, volunteer-driven, highly energetic online movement to help Chennai, and ended up being used by the general public, police officers, government officials and celebrities alike….(More)”.