How China uses search engines to spread propaganda

Curated on Posted on by Stefaan Verhulst

Blog by Jessica Brandt and Valerie Wirtschafter: “Users come to search engines seeking honest answers to their queries. On a wide range of issues—from personal health, to finance, to news—search engines are often the first stop for those looking to get information online. But as authoritarian states like China increasingly use online platforms to disseminate narratives aimed at weakening their democratic competitors, these search engines represent a crucial battleground in their information war with rivals. For Beijing, search engines represent a key—and underappreciated vector—to spread propaganda to audiences around the world.  

On a range of topics of geopolitical importance, Beijing has exploited search engine results to disseminate state-backed media that amplify the Chinese Communist Party’s propaganda. As we demonstrate in our recent report, published by the Brookings Institution in collaboration with the German Marshall Fund’s Alliance for Securing Democracy, users turning to search engines for information on Xinjiang, the site of the CCP’s egregious human rights abuses of the region’s Uyghur minority, or the origins of the coronavirus pandemic are surprisingly likely to encounter articles on these topics published by Chinese state-media outlets. By prominently surfacing this type of content, search engines may play a key role in Beijing’s effort to shape external perceptions, which makes it crucial that platforms—along with authoritative outlets that syndicate state-backed content without clear labeling—do more to address their role in spreading these narratives…(More)“.

Moral Expansiveness Around the World: The Role of Societal Factors Across 36 Countries

Curated on Posted on by Stefaan Verhulst

Paper by Kelly Kirkland et al: “What are the things that we think matter morally, and how do societal factors influence this? To date, research has explored several individual-level and historical factors that influence the size of our ‘moral circles.’ There has, however, been less attention focused on which societal factors play a role. We present the first multi-national exploration of moral expansiveness—that is, the size of people’s moral circles across countries. We found low generalized trust, greater perceptions of a breakdown in the social fabric of society, and greater perceived economic inequality were associated with smaller moral circles. Generalized trust also helped explain the effects of perceived inequality on lower levels of moral inclusiveness. Other inequality indicators (i.e., Gini coefficients) were, however, unrelated to moral expansiveness. These findings suggest that societal factors, especially those associated with generalized trust, may influence the size of our moral circles…(More)”.

The Truth in Fake News: How Disinformation Laws Are Reframing the Concepts of Truth and Accuracy on Digital Platforms

Curated on Posted on by Stefaan Verhulst

Paper by Paolo Cavaliere: “The European Union’s (EU) strategy to address the spread of disinformation, and most notably the Code of Practice on Disinformation and the forthcoming Digital Services Act, tasks digital platforms with a range of actions to minimise the distribution of issue-based and political adverts that are verifiably false or misleading. This article discusses the implications of the EU’s approach with a focus on its categorical approach, specifically what it means to conceptualise disinformation as a form of advertisement and by what standards digital platforms are expected to assess the truthful or misleading nature of the content they distribute because of this categorisation. The analysis will show how the emerging EU anti-disinformation framework marks a departure from the European Court of Human Rights’ consolidated standards of review for public interest and commercial speech and the tests utilised to assess their accuracy….(More)”.

Kids Included: Enabling meaningful child participation within companies in a digital era

Curated on Posted on by Stefaan Verhulst

Report by KidsKnowBest and The LEGO Group: “As the impact of digital technology on children’s lives continues to grow, there are mounting calls for businesses that engage with children to deliver meaningful child participation throughout the design and development of their operations. Engaging children in how you take decisions and in how you design your digital products and services can, if done responsibly, create substantial value for both businesses and children. However, it also presents a broad number of challenges that businesses will need to address.

This report is a practical tool intended for businesses that are embarking on a journey towards meaningful child participation and encountering the challenges that come with it. It brings together expert voices from across sectors, including those of children and young people, to reflect on the following questions:

  1. What is meaningful child participation?
  2. Why is it important for children and businesses in relation to the digital environment?
  3. What are the key challenges to achieving this?
  4. How can businesses overcome these challenges?

While the report’s contributors passionately believe in the importance of meaningful child participation, they also recognise that nobody has all the answers. As such, this report is not intended to be referenced as an exhaustive resource, and is intended to be used together with the many other valuable resources for businesses.
However, we do hope it will inspire and enable businesses to move towards a future where children’s beliefs and perspectives are central to the design and development of the digital world. Children are asking to be heard. It’s time for businesses to sit up, listen, and learn…(More)”.

Algorithm Claims to Predict Crime in US Cities Before It Happens

Curated on Posted on by Stefaan Verhulst

Article by Carrington York: “A new computer algorithm can now forecast crime in a big city near you — apparently. 

The algorithm, which was formulated by social scientists at the University of Chicago and touts 90% accuracy, divides cities into 1,000-square-foot tiles, according to a study published in Nature Human Behavior. Researchers used historical data on violent crimes and property crimes from Chicago to test the model, which detects patterns over time in these tiled areas tries to predict future events. It performed just as well using data from other big cities, including Atlanta, Los Angeles and Philadelphia, the study showed. 

The new tool contrasts with previous models for prediction, which depict crime as emerging from “hotspots” that spread to surrounding areas. Such an approach tends to miss the complex social environment of cities, as well as the nuanced relationship between crime and the effects of police enforcement, thus leaving room for bias, according to the report.

“It is hard to argue that bias isn’t there when people sit down and determine which patterns they will look at to predict crime because these patterns, by themselves, don’t mean anything,” said Ishanu Chattopadhyay, Assistant Professor of Medicine at the University of Chicago and senior author of the study. “But now, you can ask the algorithm complex questions like: ‘What happens to the rate of violent crime if property crimes go up?”

But Emily M. Bender, professor of linguistics at the University of Washington, said in a series of tweets that the focus should be on targeting underlying inequities rather than on predictive policing, while also noting that the research appears to ignore securities fraud or environmental crimes…(More)”

An anthology of warm data

Curated on Posted on by Stefaan Verhulst

Intro to anthology by Nora Bateson: “…The difficulty is that the studied living system is rarely put back into its multi contextual life-ing where it is in constant change. What would information look like that could change and shift in the field? The vitality of any living system is in the relationships between the parts. The relational vitality is constantly changing.

Warm Data is information that is alive within the transcontextual relating of a living system.

We may find it convenient to ignore this world of slippery, shifty information and choose instead that information that can be handled and pinned down. Still, the swirly stuff is underlying absolutely everything that is known as “action,” “decision,” or “learning.” Warm Data is necessary if for no other reason than a reminder that whatever information is currently available in a living process, “it is not just that and nothing more.”There are more contexts constantly shifting all the time. Think of a family, how it stays the same, and how it changes over time—or a city, pond, or a religion. To maintain any coherence, those systems must continually reshape and do so in relation to one another…(More)”.

Mapping Urban Trees Across North America with the Auto Arborist Dataset

Curated on Posted on by Stefaan Verhulst

Google Blog: “Over four billion people live in cities around the globe, and while most people interact daily with others — at the grocery store, on public transit, at work — they may take for granted their frequent interactions with the diverse plants and animals that comprise fragile urban ecosystems. Trees in cities, called urban forests, provide critical benefits for public health and wellbeing and will prove integral to urban climate adaptation. They filter air and water, capture stormwater runoff, sequester atmospheric carbon dioxide, and limit erosion and drought. Shade from urban trees reduces energy-expensive cooling costs and mitigates urban heat islands. In the US alone, urban forests cover 127M acres and produce ecosystem services valued at $18 billion. But as the climate changes these ecosystems are increasingly under threat.

Urban forest monitoring — measuring the size, health, and species distribution of trees in cities over time — allows researchers and policymakers to (1) quantify ecosystem services, including air quality improvement, carbon sequestration, and benefits to public health; (2) track damage from extreme weather events; and (3) target planting to improve robustness to climate change, disease and infestation.

However, many cities lack even basic data about the location and species of their trees. …

Today we introduce the Auto Arborist Dataset, a multiview urban tree classification dataset that, at ~2.6 million trees and >320 genera, is two orders of magnitude larger than those in prior work. To build the dataset, we pulled from public tree censuses from 23 North American cities (shown above) and merged these records with Street View and overhead RGB imagery. As the first urban forest dataset to cover multiple cities, we analyze in detail how forest models can generalize with respect to geographic distribution shifts, crucial to building systems that scale. We are releasing all 2.6M tree records publicly, along with aerial and ground-level imagery for 1M trees…(More)”

What AI Can Tell Us About Intelligence

Curated on Posted on by Stefaan Verhulst

Essay by Yann LeCun and Jacob Browning: “If there is one constant in the field of artificial intelligence it is exaggeration: there is always breathless hype and scornful naysaying. It is helpful to occasionally take stock of where we stand.

The dominant technique in contemporary AI is deep learning (DL) neural networks, massive self-learning algorithms which excel at discerning and utilizing patterns in data. Since their inception, critics have prematurely argued that neural networks had run into an insurmountable wall — and every time, it proved a temporary hurdle. In the 1960s, they could not solve non-linear functions. That changed in the 1980s with backpropagation, but the new wall was how difficult it was to train the systems. The 1990s saw a rise of simplifying programs and standardized architectures which made training more reliable, but the new problem was the lack of training data and computing power.

In 2012, when contemporary graphics cards could be trained on the massive ImageNet dataset, DL went mainstream, handily besting all competitors. But then critics spied a new problem: DL required too much hand-labelled data for training. The last few years have rendered this criticism moot, as self-supervised learning has resulted in incredibly impressive systems, such as GPT-3, which do not require labeled data.

Today’s seemingly insurmountable wall is symbolic reasoning, the capacity to manipulate symbols in the ways familiar from algebra or logic. As we learned as children, solving math problems involves a step-by-step manipulation of symbols according to strict rules (e.g., multiply the furthest right column, carry the extra value to the column to the left, etc.). Gary Marcus, author of “The Algebraic Mind”and co-author (with Ernie Davis) of “Rebooting AI,”recently argued that DL is incapable of further progress because neural networks struggle with this kind of symbol manipulation. By contrast, many DL researchers are convinced that DL is already engaging in symbolic reasoning and will continue to improve at it.

At the heart of this debate are two different visions of the role of symbols in intelligence, both biological and mechanical: one holds that symbolic reasoning must be hard-coded from the outset and the other holds it can be learned through experience, by machines and humans alike. As such, the stakes are not just about the most practical way forward, but also how we should understand human intelligence — and, thus, how we should pursue human-level artificial intelligence…(More)”.

Police Violence In Puerto Rico: Flooded With Data

Curated on Posted on by Stefaan Verhulst

Blog by Christine Grillo: “For María Mari-Narváez, a recent decision by the Supreme Court of Puerto Rico was both a victory and a moment of reckoning. The Court granted Kilómetro Cero, a citizen-led police accountability project in Puerto Rico, full access to every use-of-force report filed by the Puerto Rico Police Department since 2014. The decision will make it possible for advocates such as Mari to get a clear picture of how state police officers are using force, and when that use of force crosses the line into abuse. But the court victory flooded her small organization with data.

“We won, finally, and then I realized I was going to be receiving thousands of documents that I had zero capacity to process,” says Mari.

“One of the things that’s important to me when analyzing data is to find out where the gaps are, why those gaps exist, and what those gaps represent.” —Tarak Shah, data scientist

The Court made its decision in April 2021, and the police department started handing over PDF files in July. By the end, there could be up to 10,000 documents that get turned in. In addition to incident reports, the police had to provide their use-of-force database. Combined, the victory provides a complicated mixture of quantitative and qualitative data that can be analyzed to answer questions about what the state police are doing to its citizens during police interventions. In particular, Kilómetro Cero, which Mari founded, wants to find out if some Puerto Ricans are more likely to be victims of police violence than others.

“We’re looking for bias,” says Mari. “Bias against poor people, or people who live in a certain neighborhood. Gender bias. Language bias. Bias against drug users, sex workers, immigrants, people who don’t have a house. We’re trying to analyze the language of vulnerability.”…(More)”.

The Infinite Playground: A Player’s Guide to Imagination

Curated on Posted on by Stefaan Verhulst

Book by Bernard De Koven: “Bernard De Koven (1941–2018) was a pioneering designer of games and theorist of fun. He studied games long before the field of game studies existed. For De Koven, games could not be reduced to artifacts and rules; they were about a sense of transcendent fun. This book, his last, is about the imagination: the imagination as a playground, a possibility space, and a gateway to wonder. The Infinite Playground extends a play-centered invitation to experience the power and delight unlocked by imagination. It offers a curriculum for playful learning.

De Koven guides the readers through a series of observations and techniques, interspersed with games. He begins with the fundamentals of play, and proceeds through the private imagination, the shared imagination, and imagining the world—observing, “the things we imagine can become the world.” Along the way, he reminisces about playing ping-pong with basketball great Bill Russell; begins the instructions for a game called Reception Line with “Mill around”; and introduces blathering games—Blather, Group Blather, Singing Blather, and The Blather Chorale—that allow the player’s consciousness to meander freely.

Delivered during the last months of his life, The Infinite Playground has been painstakingly cowritten with Holly Gramazio, who worked together with coeditors Celia Pearce and Eric Zimmerman to complete the project as Bernie De Koven’s illness made it impossible for him to continue writing. Other prominent game scholars and designers influenced by De Koven, including Katie Salen Tekinbaş, Jesper Juul, Frank Lantz, and members of Bernie’s own family, contribute short interstitial essays…(More)”