Hasil untuk "Social legislation"

Hossein Salemi, Jitin Krishnan, Hemant Purohit

Attribution theory explains how individuals interpret and attribute others' behavior in a social context by employing personal (dispositional) and impersonal (situational) causality. Large Language Models (LLMs), trained on human-generated corpora, may implicitly mimic this social attribution process in social contexts. However, the extent to which LLMs utilize these causal attributions in their reasoning remains underexplored. Although using reasoning paradigms, such as Chain-of-Thought (CoT), has shown promising results in various tasks, ignoring social attribution in reasoning could lead to biased responses by LLMs in social contexts. In this study, we investigate the impact of incorporating a user's goal as knowledge to infer dispositional causality and message context to infer situational causality on LLM performance. To this end, we introduce a scalable method to mitigate such biases by enriching the instruction prompts for LLMs with two prompt aids using social-attribution knowledge, based on the context and goal of a social media message. This method improves the model performance while reducing the social-attribution bias of the LLM in the reasoning on zero-shot classification tasks for behavior analytics applications. We empirically show the benefits of our method across two tasks-intent detection and theme detection on social media in the disaster domain-when considering the variability of disaster types and multiple languages of social media. Our experiments highlight the biases of three open-source LLMs: Llama3, Mistral, and Gemma, toward social attribution, and show the effectiveness of our mitigation strategies.

Nur Shazwani Kamarudin, Ghazaleh Beigi, Lydia Manikonda et al.

There is an increasing number of virtual communities and forums available on the web. With social media, people can freely communicate and share their thoughts, ask personal questions, and seek peer-support, especially those with conditions that are highly stigmatized, without revealing personal identity. We study the state-of-the-art research methodologies and findings on mental health challenges like depression, anxiety, suicidal thoughts, from the pervasive use of social media data. We also discuss how these novel thinking and approaches can help to raise awareness of mental health issues in an unprecedented way. Specifically, this chapter describes linguistic, visual, and emotional indicators expressed in user disclosures. The main goal of this chapter is to show how this new source of data can be tapped to improve medical practice, provide timely support, and influence government or policymakers. In the context of social media for mental health issues, this chapter categorizes social media data used, introduces different deployed machine learning, feature engineering, natural language processing, and surveys methods and outlines directions for future research.

Iris Simón-Astudillo, Eduardo Galván Vidal

In the last decade, the growth of feminist protests worldwide has allowed activist groups to become more prominent in the political sphere (McCabe, 2024; Daby & Moseley, 2022). Spain has been no exception (Alonso et al., 2023): the feminist movement has used social media to highlight their demands, even though the behavior of political representatives suggest that interaction with citizens is not a priority for them (Ramos-Serrano et al., 2018). Understanding how the public employs digital platforms to voice their demands provides valuable insights that can help policymakers shape legislation that meets societal needs. Hence, this study aims to explore the discourse of citizens using the 8M hashtags to determine whether they are demanding legislative action from institutions. We also aim to clarify whether messages issued by Spanish MPs address gender-related legislative issues. The data analyzed come from both the official accounts of members of the Congress of Deputies and users who tweeted with the hashtags #HuelgaFeminista, #HaciaLaHuelgaFeminista, #RevueltaFeminista, #8M2020, #8M2021 and #8Marzo2022. Nearly 4 million tweets published between January 2017 and May 2023 were collected and analyzed with R and Python. The research reveals that gender-related posts on Twitter rarely focus on legislative demands, with only 0.36% of the tweets observed dealing with this matter. Meanwhile, the five MPs who discuss this issue most frequently in their accounts are Lídia Guinart (PSOE), Laura Berja (PSOE), Rosa Romero (PP), Carla Toscano (VOX) and Susana Ros (PSOE). However, overall, representatives mention this topic only in just 0.29% of their tweets. Thus, these findings support the idea that social media is not widely used either to call for nor report on public policies aimed at improving women’s lives.

Kirnosov, Ivan Denisovich

Introduction. In recent decades, the issues of preserving and protecting historical memory have become increasingly relevant in the context of legal regulation and judicial practice. The purpose of this article is to study the positions of the Constitutional Court of the Russian Federation in the field of historical memory protection, as well as to determine their impact on national legal consciousness and legislation. Theoretical analysis. The article considers the positions of constitutional researchers on the role of the Constitutional Court in the field of direct application of the provisions of the Constitution, on the basis of which, in turn, the direction of development of the position of the Constitutional Court of the Russian Federation on the protection of historical memory is studied. Empirical analysis. The study includes a detailed analysis of the key decisions of the Constitutional Court of the Russian Federation related to the protection of historical memory. Specific cases through which the court formulated its approaches to historical and legal issues are analyzed. Results. Several key aspects characterizing the approach of the Constitutional Court of the Russian Federation to the issue of historical memory are highlighted. Firstly, the Constitutional Court is aware of its importance as an element that strengthens national identity and social unity. Special attention is paid to respect for the defenders of the Fatherland, whose role is enshrined in a number of decisions of the Constitutional Court. Continuity in the development of the state is also one of the key constitutionally significant values supported by the legal positions of the Constitutional Court. Secondly, the Constitutional Court emphasizes the importance of maintaining a balance of interests between preserving historical memory and exercising citizens’ rights and freedoms. Since the protection of historical memory, in particular the preservation of cultural monuments, may overlap with various legal and public spheres, the Constitutional Court is forced to integrate its protection into a complex system of rights and obligations of citizens and the state. Thirdly, the firm and unwavering positions of the Constitutional Court on countering the spread of fascist ideology, the public display of Nazi symbols or paraphernalia as insulting to the multinational people and the memory of the victims suffered in the Great Patriotic War, the inadmissibility of denying crimes against humanity established by the Nuremberg Tribunal, serve as the basis of legal policy to perpetuate the Victory of the Soviet people in the Great Patriotic War.

Haiko Lietz

Social Network Analysis is a way of studying agents embedded in contexts. In about 1998, physicists discovered social networks as representations of complex systems. Small-world and scale-free networks are the paradigmatic models of this Network Science. Relying on various models and mechanisms of socio-cultural processes, an identity model is developed and calibrated in a case study of Social Network Science. This research domain results from the union of Social Network Analysis and Network Science. A unique dataset of 25,760 scholarly articles from one century of research (1916-2012) is created. Clustering this set of publications, five subdomains are detected and analyzed in terms of authorship, citation, and word usage structures and dynamics. The scaling hypothesis of percolation theory is formulated for socio-cultural systems, namely that power-law size distributions like Lotka's, Bradford's, and Zipf's Law mean that the described identity resides at the phase transition between the stability and change of meaning. In this case, it can be diagnosed using bivariate scaling laws and Abbott's heuristic of fractal distinctions. Identities are not dichotomies but dualities of social network and cultural domain, micro and macro phenomena, as well as stability and change. Story sets that give direction to research fluctuate less, are less distinctive, and more inert than the individuals doing the research. Identities are scale-free. Six senses are diagnostic of different aspects of identity, and when they come together as process, a complex socio-cultural system comes into existence. A mutual benefit that results from mating Relational Sociology and Network Science is identified. The latter can learn from the former that social systems are dualities of transactions and meaning. For the social sciences, the importance of Paretian thinking (scale invariance) is pointed out.

Judith Meehan, Mairead Heffron, Helen Mc Avoy et al.

Vapes or e-cigarettes are battery operated devices that heat a liquid until it becomes a vapour, which is inhaled. Typically, e-liquids contain nicotine, different flavourings, and propylene glycol. Vaping devices are either disposable vapes or rechargeable. Vapes were initially developed as stop smoking aid but they have now become a recreational product popular among teenagers.Vaping has increased at an alarming rate among teenagers and young adults in Ireland. The European Schools Project for Alcohol and Other Drugs (ESPAD) survey 2019 showed that almost 4 in 10 Irish 16-year-olds had tried vaping and 15 % currently use them. More worrying is the dramatic rise in the use of disposable vapes in recent years. An Action on Smoking and Health (ASH) UK survey data revealed a 9-fold increase from 2021 to 2023 in their use (7.7 % to 69 %) among 11–17-year-old vapers.A combination of clever marketing by vaping companies, a strong social media presence, attractive flavours and easy accessibility has contributed to the increasing use of vapes by young people.Exposure of children and adolescents to nicotine in vaping solutions can lead to long-term negative impacts on brain development, as well as addiction. Many teenagers who vape experience poor concentration, anxiety, mood disorders and sleep disturbance. A paper from NEJM in 2022 reported a case series where chronic vaping resulted in small airway fibrosis of the airways. A systematic review conducted in 2021 concluded that teenager vapers were three to five times more likely to take up tobacco smoking when compared with non-vapers.Strong legislation is required to ban the sale of disposable vapes to teenagers along with controls on marketing online. Healthcare Professionals should ask and counsel their patients about vaping. Increased public awareness and education for Health care professionals on teenage vaping needs to be addressed.Vaping has become a global public health issue that must be addressed urgently.

Abdallah El Ali, Sueyoon Lee, Pablo Cesar

In this position paper, we outline our research challenges in Affective Interactive Systems, and present recent work on visualizing avatar biosignals for social VR entertainment. We highlight considerations for how biosignals animations in social VR spaces can (falsely) indicate users' availability status.

Loukas Ilias, Spiros Mouzakitis, Dimitris Askounis

In today's fast-paced world, the rates of stress and depression present a surge. Social media provide assistance for the early detection of mental health conditions. Existing methods mainly introduce feature extraction approaches and train shallow machine learning classifiers. Other researches use deep neural networks or transformers. Despite the fact that transformer-based models achieve noticeable improvements, they cannot often capture rich factual knowledge. Although there have been proposed a number of studies aiming to enhance the pretrained transformer-based models with extra information or additional modalities, no prior work has exploited these modifications for detecting stress and depression through social media. In addition, although the reliability of a machine learning model's confidence in its predictions is critical for high-risk applications, there is no prior work taken into consideration the model calibration. To resolve the above issues, we present the first study in the task of depression and stress detection in social media, which injects extra linguistic information in transformer-based models, namely BERT and MentalBERT. Specifically, the proposed approach employs a Multimodal Adaptation Gate for creating the combined embeddings, which are given as input to a BERT (or MentalBERT) model. For taking into account the model calibration, we apply label smoothing. We test our proposed approaches in three publicly available datasets and demonstrate that the integration of linguistic features into transformer-based models presents a surge in the performance. Also, the usage of label smoothing contributes to both the improvement of the model's performance and the calibration of the model. We finally perform a linguistic analysis of the posts and show differences in language between stressful and non-stressful texts, as well as depressive and non-depressive posts.

Vishnuprasad Padinjaredath Suresh, Gianluca Nogara, Felipe Cardoso et al.

The aftermath of the 2020 US Presidential Election witnessed an unprecedented attack on the democratic values of the country through the violent insurrection at Capitol Hill on January 6th, 2021. The attack was fueled by the proliferation of conspiracy theories and misleading claims about the integrity of the election pushed by political elites and fringe communities on social media. In this study, we explore the evolution of fringe content and conspiracy theories on Twitter in the seven months leading up to the Capitol attack. We examine the suspicious coordinated activity carried out by users sharing fringe content, finding evidence of common adversarial manipulation techniques ranging from targeted amplification to manufactured consensus. Further, we map out the temporal evolution of, and the relationship between, fringe and conspiracy theories, which eventually coalesced into the rhetoric of a stolen election, with the hashtag #stopthesteal, alongside QAnon-related narratives. Our findings further highlight how social media platforms offer fertile ground for the widespread proliferation of conspiracies during major societal events, which can potentially lead to offline coordinated actions and organized violence.

Lize Alberts, Ulrik Lyngs, Max Van Kleek

Technologies increasingly mimic human-like social behaviours. Beyond prototypical conversational agents like chatbots, this also applies to basic automated systems like app notifications or self-checkout machines that address or 'talk to' users in everyday situations. Whilst early evidence suggests social cues may enhance user experience, we lack a good understanding of when, and why, their use may be inappropriate. Building on a survey of English-speaking smartphone users (n=80), we conducted experience sampling, interview, and workshop studies (n=11) to elicit people's attitudes and preferences regarding how automated systems talk to them. We thematically analysed examples of phrasings/conduct participants disliked, the reasons they gave, and what they would prefer instead. One category of inappropriate behaviour we identified regards the use of social cues as tools for manipulation. We describe four unwanted tactics interfaces use: agents playing on users' emotions (e.g., guilt-tripping or coaxing them), being pushy, `mothering' users, or being passive-aggressive. Another category regards pragmatics: personal or situational factors that can make a seemingly friendly or helpful utterance come across as rude, tactless, or invasive. These include failing to account for relevant contextual particulars (e.g., embarrassing users in public); expressing obviously false personalised care; or treating a user in ways that they find inappropriate for the system's role or the nature of their relationship. We discuss these behaviours in terms of an emerging 'social' class of dark and anti-patterns. Drawing from participant recommendations, we offer suggestions for improving how interfaces treat people in interactions, including broader normative reflections on treating users respectfully.

D.S. Khramov

Background. The article highlights some aspects of human rights activities of executive authorities and officials. Protection of citizens’ rights in both consumer and fi-nancial spheres is the most important task of state which should be shown by close attention to the interests of people, improvement of their welfare and life of population in general. The purpose of research is to study and analyze of effectiveness of human rights actions of state power in conditions of economic and social instability and evaluation of adequacy and timeliness in taking measures that stabilize situation. The interests of citizens require com-petent and effective protection, which is entrusted to the Bank of Russia, and recently the financial ombudsman helps to protect their rights. In this work we conduct a study of their activities. Materials and methods. In-depth and comprehensive study of the work of public authorities contributed to the analysis of Russian legislation, as well as the activities of Rospotrebnadzor, the Central Bank of Russia and the Commissioner for the Protection of Financial Services Consumers. When writing the work methods of system analysis and modeling were used. Results. The study revealed some problems of untimely and incom-plete response to emerging threats, as well as some illogic in the sequence of actions of executive authorities. In our opinion, the state and the executive authorities of the Russian Federation have the necessary mechanisms, capable of ensuring a sufficiently high level of protection of the welfare of citizens. Adoption of laws, decrees, resolutions, orders and de-cisions by representative bodies of power allows sufficiently quickly and qualitatively solve arising problems of society. Conclusions. It follows from this that the effectiveness of hu-man rights activities depends on the continuous work of the state. The working process of executive authorities and officials, in particular, the Commissioner for the rights of con-sumers of financial services contributes to the establishment of legal status of citizens and determines the totality of techniques and methods of restoration of violated rights with timely and careful response. The article also gives some recommendations which, in our opinion, will increase the efficiency of citizens’ rights protection.

Matthew L. Goldman, B. Druss, M. Horvitz-Lennon et al.

The response to the global COVID-19 pandemic has important ramifications for mental health systems and the patients they serve. This article describes significant changes in mental health policy prompted by the COVID-19 crisis across five major areas: legislation, regulation, financing, accountability, and workforce development. Special considerations for mental health policy are discussed, including social determinants of health, innovative technologies, and research and evaluation. These extraordinary advances provide an unprecedented opportunity to evaluate the effects of mental health policies that may be adopted in the post-COVID-19 era in the United States.

S. Koirala

This study examines the experiences of female journalists in Nepal in the context of rapidly growing expansion of broadband Internet. By examining the findings of the qualitative in-depth interview of 48 female journalists, it argues that online platforms are threatening press freedom in Nepal, mainly by silencing female journalists. The study also indicates that the problem is particularly severe in such a patriarchal society as a significant number of incidents of abuse go unreported, largely due to a culture of shame as well as ineffective legislation. Over the course of this article, I have attempted to show how social issues raised by second-wave feminism and online feminism are similar. The findings show that some of the female journalists experiencing harassment tolerate it by being ‘strong like a man,’ while many of them avoid social media platforms such as Twitter and Facebook to keep free of such abuse. The study also suggests that individual efforts to tackle the vicious issue of misogyny might not be enough and collective effort from legislation, media organisations, and feminists is required to address the issue.

E. V. Epifanova

The article is devoted to the study of the problems of correlation between the constitutional-legal and administrative-legal regulation of public administration in the field of public health protection in the system of social administration. The purpose of the article is to identify the relationship between the subject of regulation of constitutional and administrative law in the field of public administration in terms of health protection in the system of social administration, to identify its distinctive features. The goal was achieved with the help of general scientific methods (analysis, synthesis, dialectical, his­torical and legal method) and the formal legal method. State administration is carried out constantly, regardless of the presence or absence of a constitution in a particular state, other constitutional acts, and even in the absence of constitutional ideas, as was the case in Russia until the 19th century. The concept of administrative and legal regulation of public administration in the field of public health in modern conditions is based on constitutional norms on the right of citizens to health protection and medical care (Article 41 of the current Constitution of the Russian Federation), as well as on the norms on the organization of public power in the Russian Federation. Analyzing the content of the legal literature, the current legislation, the Author came to the conclusion that for the analysis of the correlation between the concepts of constitutional and legal and administrative-legal regulation in the field of health care, the provisions of Art. 71 and 72 of the Constitution of the Russian Federation. In particular, assigning the organization of public authority to the federal center, the Constitution of the Russian Federation thereby predetermines the principles of organization of the public administration system in the field of health care. In addition, Art. 71 of the Constitution of the Russian Federation leaves the federal authori­ties in charge of establishing a unified legal framework for the healthcare system, which is being trans­formed into legislative and subordinate regulation, including issues of managing the healthcare system. Administrative law, due to the wide possibilities of operational by-law regulation, is characterized by taking into account the latest achievements in the natural and human sciences in industry standards, sometimes faster than the legislator does.

Luísa Neto, Anabela Costa Leão, Jorge Gracia

The set of papers presented and introduced here reflects the dialogue established between three closely related concepts (vulnerability, care and rights) at the workshop of the same title held online in 2020. Starting from an understanding of vulnerability as a cross-cutting and universal phenomenon, several of the papers reflect on the very nature of the concept and from the point of view of the role of the state and the law in addressing the negative effects of vulnerability. Along with vulnerability, the other axis of the papers is that of care, both in its ethical and political dimensions and from a gender perspective. All of this from an Iberian perspective (related to the constitutional treatment and some legal aspects in Spain and Portugal), but which also encompasses the European perspective, and, in a broader sense, that related to human rights.

Mihaela Agheniței, Elisabeta Slabu

What matters is the fact that mediation is a powerful possibility to cover human requirements, using a very fast, very effective but also relatively cheap solution to close the conflict. It raises the question of the existence of social justice which is closely related to the fact that mediation can bring individuals from a strong community to the same table. Mediation has the extraordinary ability to transform conflictual interaction into strengthening the relationship between the parties, including the society of which the parties are a part. However, we cannot deny the negative aspect of mediation, its harsh but also oppressive character that can increase the power of a state over individuals, respectively of the strong over the weak. The timely resolution of the conflict is the main beneficial effect of mediation as an inexpensive and fast alternative to the legal process, but it thus denies the right of the poor parties to compensation, to the legislation on the protection of human rights, although speed is guaranteed. The purpose of deepening the notion of mediation is to show its potential both from a legal point of view and in society, in the resolution of minor, traditional conflicts.

Juan Pablo de Vicente, Alvaro Soto

Current datasets to train social behaviors are usually borrowed from surveillance applications that capture visual data from a bird's-eye perspective. This leaves aside precious relationships and visual cues that could be captured through a first-person view of a scene. In this work, we propose a strategy to exploit the power of current game engines, such as Unity, to transform pre-existing bird's-eye view datasets into a first-person view, in particular, a depth view. Using this strategy, we are able to generate large volumes of synthetic data that can be used to pre-train a social navigation model. To test our ideas, we present DeepSocNav, a deep learning based model that takes advantage of the proposed approach to generate synthetic data. Furthermore, DeepSocNav includes a self-supervised strategy that is included as an auxiliary task. This consists of predicting the next depth frame that the agent will face. Our experiments show the benefits of the proposed model that is able to outperform relevant baselines in terms of social navigation scores.

Derek Weber, Frank Neumann

Political misinformation, astroturfing and organised trolling are online malicious behaviours with significant real-world effects. Many previous approaches examining these phenomena have focused on broad campaigns rather than the small groups responsible for instigating or sustaining them. To reveal latent (i.e., hidden) networks of cooperating accounts, we propose a novel temporal window approach that relies on account interactions and metadata alone. It detects groups of accounts engaging in various behaviours that, in concert, come to execute different goal-based strategies, a number of which we describe. The approach relies upon a pipeline that extracts relevant elements from social media posts, infers connections between accounts based on criteria matching the coordination strategies to build an undirected weighted network of accounts, which is then mined for communities exhibiting high levels of evidence of coordination using a novel community extraction method. We address the temporal aspect of the data by using a windowing mechanism, which may be suitable for near real-time application. We further highlight consistent coordination with a sliding frame across multiple windows and application of a decay factor. Our approach is compared with other recent similar processing approaches and community detection methods and is validated against two relevant datasets with ground truth data, using content, temporal, and network analyses, as well as with the design, training and application of three one-class classifiers built using the ground truth; its utility is furthermore demonstrated in two case studies of contentious online discussions.

Zhenbo Cheng, Xingguang Liu, Leilei Zhang et al.

When an individual's behavior has rational characteristics, this may lead to irrational collective actions for the group. A wide range of organisms from animals to humans often evolve the social attribute of cooperation to meet this challenge. Therefore, cooperation among individuals is of great significance for allowing social organisms to adapt to changes in the natural environment. Based on multi-agent reinforcement learning, we propose a new learning strategy for achieving coordination by incorporating a learning rate that can balance exploration and exploitation. We demonstrate that agents that use the simple strategy improve a relatively collective return in a decision task called the intertemporal social dilemma, where the conflict between the individual and the group is particularly sharp. We also explore the effects of the diversity of learning rates on the population of reinforcement learning agents and show that agents trained in heterogeneous populations develop particularly coordinated policies relative to those trained in homogeneous populations.

Ranjana Roy Chowdhury, Shivam Gupta, Sravanthi Chede

In the recent period of time with a lot of social platforms emerging, the relationships among various units can be framed with respect to either positive, negative or no relation. These units can be individuals, countries or others that form the basic structural component of a signed network. These signed networks picture a dynamic characteristic of the graph so formed allowing only few combinations of signs that brings the structural balance theorem in picture. Structural balance theory affirms that signed social networks tend to be organized so as to avoid conflictual situations, corresponding to cycles of unstable relations. The aim of structural balance in networks is to find proper partitions of nodes that guarantee equilibrium in the system allowing only few combination triangles with signed edges to be permitted in graph. Most of the works in this field of networking have either explained the importance of signed graph or have applied the balance theorem and tried to solve problems. Following the recent time trends with each nation emerging to be superior and competing to be the best, the probable doubt of happening of WW-III(World War-III) comes into every individuals mind. Nevertheless, our paper aims at answering some of the interesting questions on World War-III. In this project we have worked with the creation of a signed graph picturing the World War-III participating countries as nodes and have predicted the best possible coalition of countries that will be formed during war. Also, we have visually depicted the number of communities that will be formed in this war and the participating countries in each communities.