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Study finds US Islamist extremist co-offenders form close-knit groups driven by mutual contacts, homophily effects

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Study finds US Islamist extremist co-offenders form close-knit groups driven by mutual contacts, homophily effects


US Islamist extremist co-offenders form close-knit groups driven by mutual contacts, homophily effects
US Islamist co-offending network. Note: isolated nodes are excluded. The network includes only individuals who had at least one co-offending relationship. Credit: Schwarzenbach, Jensen, 2024, PLOS ONE, CC-BY 4.0 (creativecommons.org/licenses/by/4.0/)

The formation of relationships within violent US Islamist extremist groups is highly driven by mutual contacts and the tendency for people to bond with others similar to themselves, according to new research.

Anina Schwarzenbach, formally of Harvard University and the University of Maryland (currently affiliated with the University of Bern) and Michael Jensen of the University of Maryland present these findings in the open-access journal PLOS ONE on June 5, 2024.

Prior research on social structures within extremist networks has primarily explored outcomes, such as insurgency or conflict, with scant focus on how relationships first arise. The few studies on relationship formation have suggested that, unlike groups that are mostly profit-driven, terrorist groups prioritize trust-based relationships that increase security over those boosting efficiency.

Building on that prior work, Schwarzenbach and Jensen analyzed how trust-based co-offending relationships—relationships between extremists who commit ideologically motivated crimes either together or separately after receiving each other’s influence—form within networks of Islamic extremists radicalized within the United States.

They analyzed data from the publicly accessible Social Networks of American Radicals (SoNAR) database, which includes court-record data on relationships between US Islamist offenders.

The researchers first applied algorithms for detecting community structures to SoNAR data, revealing that the US Islamist co-offending network consists mostly of small, separate, close-knit community clusters, with only a few larger communities.

Next, they applied a technique called exponential random graph modeling to SoNAR data to examine the potential roles of homophily—a tendency to bond with similar people—and transitivity—connection through mutual contacts—in the formation of these co-offender relationships.

They found that relationships were shaped by mutual contacts, ideological affiliation, spatial proximity, and shared socio-cultural traits, suggesting that both homophily and transitivity help to drive co-offending relationships among US Islamist extremists.

The authors note several limitations to this work, including that their findings may not be generalizable outside of the US or to other kinds of extremist offenders.

Still, they say, the findings point to several avenues for disrupting terrorist networks and preventing violence, such as the importance of engagement-prevention programs and policing techniques that are informed by the local—as opposed to online— context in which trust-based co-offending relationships typically form.

The authors add, “The results underscore the significance of local connections and personal interaction in the mobilization of extremist activities. They suggest that combating terrorism requires a multifaceted and localized approach, combining efforts in the digital area with traditional police work at a local level.”

More information:
Extremists of a feather flock together? Community structures, transitivity, and patterns of homophily in the US Islamist co-offending network, PLoS ONE (2024). DOI: 10.1371/journal.pone.0298273

Citation:
Study finds US Islamist extremist co-offenders form close-knit groups driven by mutual contacts, homophily effects (2024, June 5)
retrieved 28 June 2024
from https://phys.org/news/2024-06-islamist-extremist-groups-driven-mutual.html

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EU questions Shein, Temu over consumer protection

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EU questions Shein, Temu over consumer protection


EU
Credit: CC0 Public Domain

The EU on Friday demanded wildly popular shopping platforms Shein and Temu explain what action they are taking to protect consumers, including children.

The query was made under the EU’s breakthrough law known as the Digital Services Act (DSA) that forces platforms to do more to tackle the sale of illegal and harmful goods.

The European Commission said it wants to know what action the Chinese-founded platforms have taken to make sure users can notify them about illegal products.

It also wants to know how Shein and Temu are complying with rules regarding online interfaces to avoid “dark patterns”, the practice of tricking users into making unwanted purchases or opting-in to certain settings without their knowledge.

The commission added it wants more information about how they are guaranteeing the transparency of their recommender systems—algorithms used by platforms to push more personalized content—and the ease with which sellers can be traced.

Both companies must provide the information by July 12.

The commission said its request for information was also based on a complaint submitted by consumer organizations.

In May, Europe’s BEUC umbrella consumer rights group filed a complaint against Temu with the European Commission, accusing the app of using “manipulative techniques”.

Temu at the time said it was committed to complying with the rules.

Both platforms have a sizeable European user base.

Shein, a Chinese-founded company which is headquartered in Singapore, has said it has around 108 million monthly active users in the 27-nation EU.

Temu only arrived in Europe last year and has said it has on average around 75 million monthly active users in the bloc.

Shein and Temu also recently joined fellow marketplaces AliExpress, Amazon and Zalando on a list of 24 “very large online platforms” facing stricter safety rules under the DSA, which have more than 45 million monthly active users in the European Union.

© 2024 AFP

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EU questions Shein, Temu over consumer protection (2024, June 28)
retrieved 28 June 2024
from https://techxplore.com/news/2024-06-eu-shein-temu-consumer.html

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Stigma against benefits has made devastating poverty acceptable in Britain

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Stigma against benefits has made devastating poverty acceptable in Britain


housing london
Credit: Avonne Stalling from Pexels

Britain is in a poverty crisis. Over 14 million people (1 in 5) are living in poverty. Of these, 4 million, including 1 million children, are classed as destitute: regularly unable to meet basic needs for shelter, warmth, food and clothing.

Cuts to the welfare state over the last decade have contributed to a deepening of poverty in Britain not seen in any of its European neighbors. What sets Britain apart (and has made it possible for these cuts to continue) is the intense stigma placed on people living in poverty and who receive state benefits.

Stigma sorts people into two categories “the deserving” and “the undeserving.” Elderly (pension-aged) citizens, children and disabled people have tended to fall into the deserving category, while people deemed able-bodied and hence able to work are viewed more harshly if they receive support.

This has been seen throughout this election campaign, in discussions about getting people back into work. Rishi Sunak has said that the Conservatives intend to cut the welfare bill by getting people into work. In the last debate, he said it was “not fair” for people on benefits to not take a job they are offered after 12 months out of work. The implication here is that some people who receive benefits are cheating the system.

Social policy researchers Robert Walker and Elaine Chase argue that using stigma to ration relief is a peculiarly British phenomenon that declined in more egalitarian, less class-riven European states.

Stereotypes pitting “scroungers” against those in “genuine” need have been especially acute in the age of austerity. From 2010, the coalition government sought support for swingeing cuts to the welfare and benefits system by persuading the public that those receiving benefits were “trapped in dependency.” Then prime minister David Cameron declared “a war on welfare culture” in 2011, arguing that the benefit system “actively encourages” people to act irresponsibly.

A moral panic about “benefits cheats” followed. Politicians and journalists portrayed working-age adults receiving benefits as a lazy or criminal group who were deliberately scamming hardworking taxpayers. Hundreds of hours of reality TV programs exploited this theme, creating the new genre of “poverty porn.”






The late social policy expert John Hills argued that framing state welfare as an unaffordable system of cash benefits exploited by “economically inactive” people is incorrect, and a ruse by politicians to slash all public services. Drawing on social attitudes data, he found that the very idea of welfare had contracted in public consciousness to a debate about “a stagnant group of people benefiting from it all, while the rest pay in and get nothing back—’skivers’ against ‘strivers.'”

Sunak has revived these claims with proclamations about Britain’s supposed “sick note culture” with disabled people “parked on welfare.”

This view is borne out in policies that have, over time, increased job search and work requirements—known as “conditionality”—for people receiving benefits. This is despite evidence showing such policies don’t work, and that 38% of people receiving universal credit are in work.

For more than a decade, I have studied the effects of stigma on people living in poverty. I have interviewed health, public sector and charity workers, including GPs and headteachers, about the effects of deepening poverty and the impact of this toxic stigma narrative.

By framing poverty in Britain as a deserved consequence of poor life choices or a reluctance to work, stigma diverts blame from political decision-makers onto those struggling to make ends meet.

The impact of stigma

Feeling ashamed of being poor stops people seeking help and support. The gnawing anxiety that their lack of resources will be exposed to others can lead people to withdraw from social activities and become isolated. A former schoolteacher I interviewed was forced to give up work due to illness as stories about benefits cheats peaked:

“You only have to watch any program and there is evidence there that your kind are hated. These people are stealing your taxes and you’re thinking, ‘that is me they are talking about.’ Trapped in this cycle of being hated by everybody … It’s relentless. Never-ending. One constant cycle of judgment. Until you are ashamed to do anything.”

I am part of a team commissioned by the Joseph Rowntree Foundation to investigate the effects of stigma and explore how to stop it. Our recently published report describes stigma as “a glue that holds poverty in place.” When politicians (through speeches and policy) and the media (through reality television or stigmatizing reports) teach us to see poverty as a result of others’ bad choices rather than a systemic problem, it becomes socially acceptable. In this way, poverty and poverty stigma reinforce each other.

As we are exploring, stigma can be designed out of policies and services. For example, measures to “poverty proof” the school day such as changing how meals (and free school meals) are delivered so students are not marked out as different, making school uniforms more affordable and designing school events to be accessible to everybody can also help “stigma proof” schools for children from low-income families. But this only works if organizations first listen to and learn to see from the perspectives of those living in poverty.

Poverty must be reframed as an issue of economic injustice, shifting blame away from individuals.

The next government must end the use of stigmatizing labels such as “economically inactive” to describe disabled people or people with unpaid caring responsibilities, or “low-skilled” to describe low-paid work. This latter point must go hand in hand with campaigning for greater pay equity and real living wages.

To end Britain’s poverty crisis, we all need to reject stigma, by exposing it for what it is: a tool used by the powerful to justify economic inequality and injustice.

Provided by
The Conversation


This article is republished from The Conversation under a Creative Commons license. Read the original article.The Conversation

Citation:
Stigma against benefits has made devastating poverty acceptable in Britain (2024, June 28)
retrieved 28 June 2024
from https://phys.org/news/2024-06-stigma-benefits-devastating-poverty-britain.html

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Leveraging vehicle Global Navigation Satellite System raw data

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Leveraging vehicle Global Navigation Satellite System raw data


From the road to the cloud: leveraging vehicle GNSS raw data for spatial high-resolution atmospheric mapping and user positioning
Crowdsourcing RTK: a new GNSS positioning framework for building spatial high-resolution atmospheric maps based on massive vehicle GNSS data. Credit: Satellite Navigation (2024). DOI: 10.1186/s43020-024-00135-8

Innovative Global Navigation Satellite System (GNSS) positioning technologies harness massive vehicle-generated data to create high-resolution atmospheric delay correction maps, significantly enhancing Global Positioning System (GPS) accuracy across varied spatial scales. This new method exploits real-time, crowd-sourced vehicle GNSS raw data, refining traditional GPS applications and presenting a cost-effective solution for precise positioning.

The quest for enhanced Global Navigation Satellite System (GNSS) accuracy has been hindered by the limitations of current atmospheric correction models, which depend on sparse, high-cost infrastructure. These traditional models struggle to provide the high-resolution data necessary for precise positioning, especially in dynamic environments like autonomous driving. The advent of this study addresses this challenge by proposing a crowdsourced approach to generate detailed atmospheric maps, promising to significantly improve GNSS performance and reduce costs.

Researchers from the Chinese Academy of Sciences have developed an innovative GNSS positioning framework published on May 13 2024, in Satellite Navigation. The study details a system that uses dual base stations and Crowdsourced Atmospheric delay correction Maps (CAM) to achieve high-precision positioning, a significant advancement for applications such as autonomous driving and Internet of Things (IoT).

The research introduces a novel GNSS positioning framework that leverages dual base stations and massive vehicle data to produce high-resolution atmospheric maps, enhancing the precision of GNSS. This crowd-sourced approach, termed CAM, utilizes data from vehicles equipped with GNSS receivers.

These vehicles collect and transmit atmospheric delay data to a cloud server where it is integrated and processed to continuously update the CAM. This dynamic updating process improves both the CAM spatial resolution and the positioning accuracy for public users in real-time. The core innovation of this framework lies in its use of common vehicle GNSS data, which is more abundant and readily available compared to traditional data sources.

By aggregating and refining this data, the study achieves a cost-effective method for generating detailed atmospheric delay corrections. The CAM significantly reduces the reliance on expensive and less distributed Continuous Operational Reference System (CORS) stations traditionally used for atmospheric data, offering a scalable solution that enhances the feasibility and accuracy of precision GNSS applications.

Dr. Yunbin Yuan, lead researcher, states, “This framework not only lowers the costs of atmospheric data collection but also significantly increases the accuracy and reliability of GNSS positioning, marking a significant leap forward in location-based services.”

The application of this technology extends beyond improved Global Positioning System (GPS) accuracy; it also opens avenues for real-time environmental monitoring and has significant implications for urban planning, transportation, and emergency response systems. As vehicles become data collection hubs, the scalability of this technology promises extensive socio-economic benefits, particularly in highly urbanized regions.

More information:
Hongjin Xu et al, Crowdsourcing RTK: a new GNSS positioning framework for building spatial high-resolution atmospheric maps based on massive vehicle GNSS data, Satellite Navigation (2024). DOI: 10.1186/s43020-024-00135-8

Provided by
Aerospace Information Research Institute, Chinese Academy of Sciences

Citation:
From the road to the cloud: Leveraging vehicle Global Navigation Satellite System raw data (2024, May 17)
retrieved 28 June 2024
from https://techxplore.com/news/2024-05-road-cloud-leveraging-vehicle-global.html

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New NOvA results add to mystery of neutrinos

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New NOvA results add to mystery of neutrinos


New NOvA Results Add to Mystery of Neutrinos
Probability distributions for the value of the larger neutrino mass squared splitting from NOvA data when antineutrino measurements at nuclear reactors are included. The normal (blue) mass ordering is preferred over the inverted (red) one by a factor of 7:1. Credit: NOvA Collaboration

The international NOvA collaboration presented new results at the Neutrino 2024 conference in Milan, Italy, on June 17. The collaboration doubled their neutrino data since their previous release four years ago, including adding a new low-energy sample of electron neutrinos.

The new results are consistent with previous NOvA results, but with improved precision. The data favor the “normal” ordering of neutrino masses more strongly than before, but ambiguity remains around the neutrino’s oscillation properties.

The latest NOvA data provide a very precise measurement of the bigger splitting between the squared neutrino masses and slightly favor the normal mass ordering. That precision on the mass splitting means that, when coupled with data from other experiments performed at nuclear reactors, the data favor the normal ordering at almost 7:1 odds.

This suggests that neutrinos adhere to the normal ordering, but physicists have not met the high threshold of certainty required to declare a discovery.

NOvA, short for NuMI Off-axis νe Appearance, is an experiment managed by the U.S. Department of Energy’s Fermi National Accelerator Laboratory, located outside of Chicago.

Fermilab sends a beam of neutrinos 500 miles north to a 14,000-ton detector in Ash River, Minnesota. By measuring the neutrinos and their antimatter partners, antineutrinos, in both locations, physicists can study how these particles change their type as they travel, a phenomenon known as neutrino oscillation.

NOvA aims to learn more about the ordering of neutrino masses. Physicists know that there are three types of neutrinos with different masses, but they don’t know the absolute mass, nor which is heaviest.

Theoretical models predict two possible mass orderings, normal or inverted. In the normal ordering, there are two light neutrinos and one heavier neutrino; in inverted, there is one light neutrino and two heavier ones.

“Getting additional information from reactor experiments enhances our knowledge of the mass ordering and gets us close to exciting territory,” said Erika Catano-Mur, a postdoctoral research associate at William & Mary and co-convener of the analysis. “We almost have an answer to one of those big questions that we have in neutrino physics. But we’re not there yet.”

The solution to neutrino oscillation remains ambiguous in the new results. Physicists don’t currently have enough data to disentangle two effects on the oscillation: mass ordering and a property called charge parity violation.

The collaboration observed a moderate amount of oscillation that could be explained in either mass ordering scenario with different amounts of CP violation, so they cannot tease apart the mass ordering and CP violation. However, the physicists were able to rule out specific combinations of the two properties.

New NOvA Results Add to Mystery of Neutrinos
An electron neutrino scattering event from the latest NOvA dataset. The brighter the yellow pixels, the more energy that was deposited. Physicists know this is a neutrino because it occurs in time with the beam pulse, “points” back to Fermilab, and occurs far away from the edges of the detector, meaning whatever initiated the activity had to travel through a lot of matter without leaving a trace. The electron in the final state is initially track-like, but then develops into an electromagnetic cascade. Credit: NOvA Collaboration

“It really takes more than one measurement for us to learn everything we need to know,” said Jeremy Wolcott, a postdoctoral fellow at Tufts University, one of NOvA’s analysis coordinators and the speaker at the conference.

“NOvA is an important player in this because there are unique aspects to all of the various experiments that are trying to measure the same parameters,” said Wolcott. “We’re starting to see a picture come together, but it’s murky. Having different measurements that all work together is really important.”

The NOvA experiment started taking data in 2014 and will continue running through early 2027, during which time the collaboration hopes to double their antineutrino dataset. They also continue to implement analysis improvements to maximize the sensitivity of the experiment.

Their efforts are also paving the way for future experiments that will seek to contribute even more to solving the mysteries around neutrino properties.

“We want to make the most that we can out of the data,” said Catano-Mur. “What we learn—not only from the results themselves, but in the process, what we’re learning about the analysis methods—is going to be useful for the next generation of experiments that right now are under construction.”

Still, NOvA has the potential to reveal more about the elusive neutrino. “This result is an important reminder that the current generation of experiments, including NOvA, continues to collect valuable data and produce physics insights,” said Zoya Vallari, postdoctoral researcher at CalTech and co-convener of the analysis. “They are our best shot at a discovery right now.”

The NOvA collaboration is made up of more than 200 scientists from 50 institutions in eight countries. With the additional data and further analysis improvements, NOvA will bring physicists closer to understanding the identity-changing behavior of neutrinos.

Citation:
New NOvA results add to mystery of neutrinos (2024, June 28)
retrieved 28 June 2024
from https://phys.org/news/2024-06-nova-results-mystery-neutrinos.html

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part may be reproduced without the written permission. The content is provided for information purposes only.





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