Hasil untuk "Social legislation"

Donna M. Gollnick, P. Chinn

Hans Petter Graver

A main question of the paper is why the courts, and the judiciary are such a main focus of those in power who attack liberal democracy today. First it adresses the connections between democratic decline and rule of law backsliding. Then it adresses some historical perspectives and compare the present situation to autocracies and totalitarian experiences in Europe in the twentieth century. Finally, it discusses different measures taken by autocratic rulers to limit judicial control, how to distinguish such measures from measures of legitimate legal reform, and how to counter such measures.

Alan Said

This work examines the role of recommender systems in promoting sustainability, social responsibility, and accountability, with a focus on alignment with the United Nations Sustainable Development Goals (SDGs). As recommender systems become increasingly integrated into daily interactions, they must go beyond personalization to support responsible consumption, reduce environmental impact, and foster social good. We explore strategies to mitigate the carbon footprint of recommendation models, ensure fairness, and implement accountability mechanisms. By adopting these approaches, recommender systems can contribute to sustainable and socially beneficial outcomes, aligning technological advancements with the SDGs focused on environmental sustainability and social well-being.

Cuong Nhat Vo, Khanh Bao Huynh, Son T. Luu et al.

The growth of social networks makes toxic content spread rapidly. Hate speech detection is a task to help decrease the number of harmful comments. With the diversity in the hate speech created by users, it is necessary to interpret the hate speech besides detecting it. Hence, we propose a methodology to construct a system for targeted hate speech detection from online streaming texts from social media. We first introduce the ViTHSD - a targeted hate speech detection dataset for Vietnamese Social Media Texts. The dataset contains 10K comments, each comment is labeled to specific targets with three levels: clean, offensive, and hate. There are 5 targets in the dataset, and each target is labeled with the corresponding level manually by humans with strict annotation guidelines. The inter-annotator agreement obtained from the dataset is 0.45 by Cohen's Kappa index, which is indicated as a moderate level. Then, we construct a baseline for this task by combining the Bi-GRU-LSTM-CNN with the pre-trained language model to leverage the power of text representation of BERTology. Finally, we suggest a methodology to integrate the baseline model for targeted hate speech detection into the online streaming system for practical application in preventing hateful and offensive content on social media.

Yigang Wei, Ping Gong, Jianhong Zhang et al.

Abstract Public awareness has an important effect on the legislation and implementation of climate change policies. Against the backdrop of the "Big Data Era," social media is an appealing and promising tool for a timely and complete understanding of public perception and attitudes towards climate policies. This paper examines the public's spontaneous attention and awareness about carbon emissions trading (ETS). Tweets related to the EU-ETS, published between 2008 and 2019, were collected for multi-dimensional analysis. Empirical results show several important findings. First, public attention on the EU-ETS has increased significantly since 2011. Second, government officials and industry practitioners have a stronger influence in the discussions than the public and industrial enterprises. Third, topic followers mostly gathered in Belgium (16.65%), the UK (11.6%), and some non-regulated countries like the US and Australia. Fourth, the public mainly focused on the policies and legislation, allowance price, and allocation. The innovation of this study rests in the development of a social media data-based research framework to examine the public's cognition of climate policies, which integrates the advantages of public social media, social network analysis, and text topic analysis. This study provides comprehensive analysis and support for climate policy implementation and public acceptance improvement.

Andrea Miguel-Batuecas, Manuel Fuertes-Recuero, David Díaz-Regañón et al.

Since the time of Hippocrates in the 4th century BC, animal research has been extensively used for various purposes up to the present day. However, the use of animals for research has also been controversial for a long time. We report the findings of a public, online questionnaire-based survey designed to assess the opinions of a sample of Spanish society regarding animal research. Demographic data and opinions were obtained from 806 respondents. The results indicated a high level of acceptance of animal research (73.1%). However, certain factors, such as completing the questionnaire immediately after a reading negative media report (OR = 2.41; 95%CI: 1.64–3.54; <i>p</i> < 0.001), being a woman (OR = 1.77; 95%CI: 1.24–2.53; <i>p</i> = 0.002) or having a non-scientific background (OR = 2.47; 95%CI: 1.76–3.47; <i>p</i> < 0.001), were associated with a tendency towards a more negative opinion. The opinions seemed to be influenced by gender, education level and by protest incidents reported in the media. Our results also indicate that a lot of information regarding animal welfare, such as care and handling protocols, along with legislation was unknown to individuals. Further, a growing popularity of companion species and opposition to animal experimentation for non-biomedical purposes were reflected in the responses obtained. The use of animals for research purposes emerged as a sensitive social issue in terms of concerns about animal ethics and welfare.

Els De Vos, Selin Geerinckx, Inês Lima Rodrigues et al.

Post World War II European modern housing often exhibited a Corbusian influence, but Le Corbusier was not embraced to the same extent everywhere, as noticed during exchanges between the University of Lisbon and the University of Antwerp in the ambit of the COST-Action 18137 on MCMH. While Belgium has several 1950s social housing projects, strongly indebted in its Unité d’habitation in Marseilles, Portugal does not. There, social housing architecture remained rather conservative, even though Corbusian features manifested themselves in some middle-class mass housing projects, such as the complex on Avenida Estados Unidos da América in Lisbon (1954-1966) designed by Lucínio Cruz, Alberto Ayres de Sousa and Mário Oliveira. While the housing blocks are on pilotis, they also have notable Art-Deco elements. In Belgium, free-standing modernist housing on pilotis with Art-Deco features also appears, such as the housing project at the Jan De Voslei in Antwerp designed by Jos Smolderen (1952-1967). These Modernist/Art-Deco hybrids have never been explored in depth because they are considered not radical enough. However, these cases shed light on how (older) architects mediated between traditional architecture and Modernism, between their own preferences and those of the state or housing company. They illuminate the political, social, and urban context in which these buildings were created. This paper explains why the principles Belgian architects applied to social housing were closer to Lisbon’s middle-class housing than their similar buildings for low-income housing. Based on cross-referencing archival material, legislation, on-site observations, and a study of the political, urban and social context, this paper posits a re-reading of Le Corbusier’s legacy in middle-class housing in Lisbon versus Antwerp.

T. T. Bayazitov

The modern development of social relations cannot be considered in isolation from the economic basis of human life. Taking into account the consistent formation of the institution of private property and the property sphere, new rules for the relationship between the state and the individual are being formed. On this background, issues related to the implementation of the repressive function of the state are of great importance. The process of investigating criminal activity often affects the property interests of the participants in the criminal process. At the same time, the rules of this type of state activity enshrined in the legislation do not always take into account the changed format of economic relations between individuals and legal entities. The article deals with the problem of the lack of adaptation of the criminal procedural legislation to the actual relations in the area of public life. Questions of interaction between criminal procedure and civil legislation are described here. There is a lack of an integrated approach to regulating the issues of protecting the property interests of the suspect, the accused in the application of measures of procedural coercion. Despite the general approach in this area of relations formulated in the Constitution of the Russian Federation, which is favorable for the suspect and for the accused, there are multiple contradictions at the level of intersectoral regulation. The paper states the need for a comprehensive regulation of the features of the application of coercive measures of a property nature to the specified participants in the criminal process. Judicial practice contributes to this process. The decisions of the Constitutional Court of the Russian Federation studied in the article forces the legislator to new reforms of the Code of Criminal Procedure of the Russian Federation. Some of the programmatic political statements of the country's top leadership noted in the work contributes this process. The analysis of the scientific problem under study is carried out taking into account the existing norms of international law, as well as on the basis of the formed historical experience of the domestic procedure for regulating the rules of investigation and trial in criminal cases. The study focuses on the application of such measures of property impact on a person as bail, custody, seizure of property and others. The conclusions are made taking into account statistical indicators and the results of a survey of practical employees of the investigative departments of various departments and the lawyer corps.

Shyam Balasubramanian, Nicole K Y Tang, Sakari Lemola et al.

Introduction Previous qualitative and cross-sectional research has identified a strong sense of mental defeat in people with chronic pain who also experience the greatest levels of distress and disability. This study will adopt a longitudinal experience sampling design to examine the within-person link between the sense of mental defeat and distress and disability associated with chronic pain.Methods and analysis We aim to recruit 198 participants (aged 18–65 years) with chronic pain, to complete two waves of experience sampling over 1 week, 6 months apart (time 1 and time 2). During each wave of experience sampling, the participants are asked to complete three short online surveys per day, to provide in-the-moment ratings of mental defeat, pain, medication usage, physical and social activity, stress, mood, self-compassion, and attention using visual analogue scales. Sleep and physical activity will be measured using a daily diary as well as with wrist actigraphy worn continuously by participants throughout each wave. Linear mixed models and Gaussian graphical models will be fit to the data to: (1) examine the within-person, day-to-day association of mental defeat with outcomes (ie, pain, physical/social activity, medication use and sleep), (2) examine the dynamic temporal and contemporaneous networks of mental defeat with all outcomes and the hypothesised mechanisms of outcomes (ie, perceived stress, mood, attention and self-compassion).Ethics and dissemination The current protocol has been approved by the Health Research Authority and West Midlands—Solihull Research Ethics Committee (Reference Number: 17/WM0053). The study is being conducted in adherence with the Declaration of Helsinki, Warwick Standard Operating Procedures and applicable UK legislation.

Karolis Zilius, Tasos Spiliotopoulos, Aad van Moorsel

The rise in adoption of cryptoassets has brought many new and inexperienced investors in the cryptocurrency space. These investors can be disproportionally influenced by information they receive online, and particularly from social media. This paper presents a dataset of crypto-related bounty events and the users that participate in them. These events coordinate social media campaigns to create artificial "hype" around a crypto project in order to influence the price of its token. The dataset consists of information about 15.8K cross-media bounty events, 185K participants, 10M forum comments and 82M social media URLs collected from the Bounties(Altcoins) subforum of the BitcoinTalk online forum from May 2014 to December 2022. We describe the data collection and the data processing methods employed and we present a basic characterization of the dataset. Furthermore, we discuss potential research opportunities afforded by the dataset across many disciplines and we highlight potential novel insights into how the cryptocurrency industry operates and how it interacts with its audience.

Nabeel Gillani, Rebecca Eynon

Over the past decade, an explosion in the availability of education-related datasets has enabled new computational research in education. Much of this work has investigated digital traces of online learners in order to better understand and optimize their cognitive learning processes. Yet cognitive learning on digital platforms does not equal education. Instead, education is an inherently social, cultural, economic, and political process manifesting in physical spaces, and educational outcomes are influenced by many factors that precede and shape the cognitive learning process. Many of these are social factors like children's connections to schools (including teachers, counselors, and role models), parents and families, and the broader neighborhoods in which they live. In this article, we briefly discuss recent studies of learning through large-scale digital platforms, but largely focus on those exploring sociological aspects of education. We believe computational social scientists can creatively advance this emerging research frontier-and in doing so, help facilitate more equitable educational and life outcomes.

A. Trianni, E. Cagno, A. Neri et al.

Abstract Measuring industrial sustainability performance in manufacturing firms is still a major challenge for both policy and industrial decision makers, with many firms, particularly small and medium enterprises, struggling to properly engage with them. Hence, to understand the level of adoption of industrial sustainability indicators and the issues preventing their effective measurement, and stimulate further research in this area, a multiple case analysis of 26 small and medium manufacturing enterprises across Germany and Italy operating in the chemical and metalworking sectors was conducted. The findings show that only 18 indicators are in place on average. Furthermore, too many firms still focus almost exclusively on the economic pillar of sustainability, while social and environmental pillars are addressed almost exclusively for compliance with legislation. Moreover, the research suggests that contextual factors may influence the firms’ perspective on sustainability and the way it is managed, as well as the certifications held by firms, influencing, in turn, the number and types of indicators considered. An exploratory investigation allowed identification of several important open issues, leading to future research avenues, and in particular towards the development of a novel model to gauge sustainability in industrial activities, as well as adoption of policy-making measures for further emphasis on environmental and social pillars when promoting the adoption of sustainability indicators.

Diana Yenifer Servellón Castellanos

La Antropología Forense aporta elementos que contribuyen para que las víctimas y sus familiares encuentren la verdad, la justicia, la memoria, la reparación y la reconciliación. El presente artículo tiene por objeto destacar la importancia de brindar soluciones a las familias de personas desaparecidas por causas delincuenciales, ambientales, migratorias, entre otras, y que no han recibido una justicia pronta. Supone un pequeño contexto sobre los avances que se han realizado en Honduras en la materia, y reflexiona sobre la importancia de crear con urgencia una ley de personas desaparecidas y un programa que incorpore la creación de los equipos de Antropología Forense y los apoyos internacionales necesarios para el reconocimiento de las víctimas.

Giampiero Lupo

The recent introduction of AI tools in the justice sector poses several ethical implications as risks for judges’ independence and for procedural transparency, and discrimination biases. By developing ethical frameworks governing AI application, private and public agents have been increasingly dealing with risks pertaining to the use of AI. By inventorying and analyzing a set of ethical documents through content analysis, this study highlights the ethical implications involved in the application of AI. Moreover, by investigating the CEPEJ Charter (European Commission for the Effectiveness of Justice of the Council of Europe), the unique ethical document focusing on AI in justice, we were able to clarify potential differences between justice and other contexts of AI application with respect to risks prospected and the protection of ethical principles. The analysis confirms that the discipline of AI is a complex subject that involves very different aspects and therefore needs a broad focus on all contexts of application.

Julie Jiang, Xiang Ren, Emilio Ferrara

Estimating the political leanings of social media users is a challenging and ever more pressing problem given the increase in social media consumption. We introduce Retweet-BERT, a simple and scalable model to estimate the political leanings of Twitter users. Retweet-BERT leverages the retweet network structure and the language used in users' profile descriptions. Our assumptions stem from patterns of networks and linguistics homophily among people who share similar ideologies. Retweet-BERT demonstrates competitive performance against other state-of-the-art baselines, achieving 96%-97% macro-F1 on two recent Twitter datasets (a COVID-19 dataset and a 2020 United States presidential elections dataset). We also perform manual validation to validate the performance of Retweet-BERT on users not in the training data. Finally, in a case study of COVID-19, we illustrate the presence of political echo chambers on Twitter and show that it exists primarily among right-leaning users. Our code is open-sourced and our data is publicly available.

Nicholas Carnes, Noam Lupu

Florian Wettstein, D. Baur

E. Utyashov

The article deals with topical issues of legal regulation of alcohol turnover in the conditions of martial law. The current legislation of Russia and a number of former Soviet countries regulating the procedure for the introduction and implementation of this legal regime contains a provision on special turnover of alcoholic beverages on the list of measures. To date, Russia has developed both an official and unofficial market for the production of alcohol and its consumption, and a certain balance has been formed between the amount of alcohol produced and its sales, which is unlikely to be changed by limiting its production or consumption without financial, economic and social consequences. A possible ban on official production and its implementation will provoke an increase in moonshine and other negative consequences, which are demonstrated in the article. This conclusion raises the question of whether it is appropriate to include on the list of events held under martial law "a special regime of alcohol trafficking", as it does not reflect not only the objective realities of the current state of affairs, but also the experience of the historical past of Russia and a number of other European countries. Within the framework of the current legal regulation, there are enough flexible and effective measures aimed at limiting the use of alcoholic beverages, which do not need to be fixed in the relevant Federal constitutional law. A comparative analysis of similar legislation in European countries does not contain such restrictions. A historical study of restrictions on the turnover of alcoholic beverages during the First World War showed both positive and, to a greater extent, its negative consequences for Russia. The legal regulation of alcohol consumption during the Second World War is fundamentally different from the restrictions that took place in the period 1914-1918. The state took into account mistakes and their consequences for society and the army and avoided the introduction of "prohibition" during the war. Areas of public relations for which the alcohol ban has had a positive effect are demonstrated. The negative results of restricting the turnover of alcoholic beverages for the economy and social sphere, both in conditions of martial law and in peacetime, are revealed. Conclusions are formulated about the inexpediency of the ban on alcohol trafficking in the conditions of the martial law regime.

Rahul Goel, Rajesh Sharma

Online social media (OSM) has emerged as a prominent platform for debate on a wide range of issues. Even celebrities and public figures often share their opinions on a variety of topics through OSM platforms. One such subject that has gained a lot of coverage on Twitter is the Novel Coronavirus, officially known as COVID-19, which has become a pandemic and has sparked a crisis in human history. In this study, we examine 29 million tweets over three months to study highly influential users, whom we refer to as leaders. We recognize these leaders through social network techniques and analyze their tweets using text analysis. Using a community detection algorithm, we categorize these leaders into four clusters: research, news, health, and politics, with each cluster containing Twitter handles (accounts) of individual users or organizations. E.g., the health cluster includes the World Health Organization (@WHO), the Director-General of WHO (@DrTedros), and so on. The emotion analysis reveals that (i) all clusters show an equal amount of fear in their tweets, (ii) research and news clusters display more sadness than others, and (iii) health and politics clusters are attempting to win public trust. According to the text analysis, the (i) research cluster is more concerned with recognizing symptoms and the development of vaccination; (ii) news and politics clusters are mostly concerned with travel. We then show that we can use our findings to classify tweets into clusters with a score of 96% AUC ROC.

M. Crul, J. Schneider