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.
The article examines the critical role of measurement uncertainty assessment in ensuring the reliability of the results of clinical diagnostic laboratories. A two-component measurement uncertainty model is analyzed which includes a component related to the traceability of results to the highest standards provided by the manufacturer of in vitro diagnostic systems and a component characterizing the reproducibility of measurements in a specific laboratory evaluated on the basis of in-laboratory quality control. The methodology for calculating the total measurement uncertainty is presented and its mandatory indication along with the analysis result in the format «Value ± measurement uncertainty (%)» which determines the range of possible values of the true value. The clinical importance of taking measurement uncertainty into account when interpreting laboratory data is emphasized. Using the example of the threshold value of anti-Muller hormone for deciding on the possibility of in vitro fertilization it is demonstrated how ignoring the uncertainty interval can lead to an erroneous refusal of treatment. The key challenges of the widespread introduction of measurement uncertainty into practice are noted: the need to maintain clinical diagnostic laboratories in a state of statistical manageability ensuring the reliability and completeness of data from in vitro diagnostic manufacturers modifying laboratory forms and most importantly training clinicians in the principles of interpreting results taking into account uncertainty. It is concluded that the integration of measurement uncertainty into routine laboratory reporting and clinical decision-making is a necessary condition for improving diagnostic quality minimizing errors and ensuring patient safety.
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.
Jorge Enrique Machado-Alba, Alejandra Fonseca, Manuel E Machado-Duque
et al.
Introducción: El trastorno bipolar (TB) es una condición psiquiátrica grave caracterizada por alteraciones progresivas en las funciones sociales y cognitivas. Objetivo: Determinar cuáles son los medicamentos con que se está tratando a un grupo de pacientes con diagnóstico de TB, afiliados al Sistema de Salud de Colombia. Materiales y métodos: Estudio de corte para identificar prescripciones de medicamentos de pacientes ambulatorios de cualquier edad y sexo con TB, a partir de una base de datos poblacional de dispensaciones. Se consideraron variables sociodemográficas, clínicas y farmacológicas buscando medicamentos en indicaciones aprobadas y no aprobadas por agencias reguladoras. Resultados: Se identificaron 1334 pacientes, con edad media de 40,2±18,5 años y 50% eran mujeres. Un total de 809 (60,6%) pacientes eran tratados en monoterapia principalmente con ácido valproico (286/615 pacientes, 46,4%), quetiapina (259/525, 49,3%) y Carbonato de Litio (98/275, 35,6%). Las combinaciones más comunes de fármacos para su tratamiento fueron ácido valproico más quetiapina (n=162, 12,1%), ácido valproico más risperidona (n=73, 5,5%) y carbonato de litio más quetiapina (n=62, 4,6%). El 57,4% (n=766) tenían prescripciones de fármacos con indicaciones no aprobadas. Conclusiones: Los pacientes con TB son tratados principalmente en monoterapia y más de la mitad estaba recibiendo fármacos en indicaciones no aprobadas.
Medicine (General), Social history and conditions. Social problems. Social reform
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.
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.
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.
Purpose When complex social-ecological systems collapse and transform, the possible outcomes of this transformation are not set in stone. This paper aims to explore the role of social imagination in determining possible futures for a reformed system. The authors use a historical study of the Luddite response to the Industrial Revolution centred in the UK in the early-19th century to explore the concepts of path dependency, agency and the distributional impacts of systems change. Design/methodology/approach In this historical study, the authors used the Luddites’ own words and those of their supporters, captured in archival sources (n = 43 unique Luddite statements), to develop hypotheses around the effects on political, social and judicial consequences of a significant systems transformation. The authors then scaffolded these statements using the heuristics of panarchy and basins of attraction to conceptualize this contentious moment of British history. Findings Rather than a strict cautionary tale, the Luddites’ story illustrates the importance of environmental fit and selection pressures as the skilled workers sought to push the English system to a different basin of attraction. It warns us about the difficulty of a just transition in contentious economic and political conditions. Social implications The Luddites’ story is a cautionary tale for those interested in a just transition, or bottom-up systems transformation generally as the deep basins of attraction that prefer either the status quo or alternate, elite-favouring arrangements can be challenging to shift independent of shocks. While backward looking, the authors intend these discussions to contribute to current debates on the role(s) of social innovation in social and economic policy within increasingly charged or polarized political contexts. Originality/value Social innovation itself is often predicated on the need for just transitions of complex adaptive systems (Westley et al., 2013), and the Luddite movement offers us the opportunity to study the distribution effects of a transformative systems change – the Industrial Revolution – and explore two fundamental questions that underpin much social innovation scholarship: how do we build a just future in the face of complexity and what are likely forms those conversations could take, based on historical examples?
A partir de las premisas teóricas “pedagogías y mediaciones de la violencia”, el artículo describe y sistematiza los discursos que legitiman ciertas formas de violencia social y criminal en la región de Tierra Caliente, Michoacán; analiza el caso de Los Caballeros Templarios para preguntarse qué tipo de mediaciones discursivas permitían legitimar ciertas formas de violencia criminal. Su carácter es exploratorio y descriptivo y se basa en evidencia empírica construida a partir de un extenso trabajo de campo, cuyos resultados aportan algunas líneas de trabajo para proseguir con la búsqueda de
los mecanismos reproductores de la violencia en el orden criminal.
History (General), Social history and conditions. Social problems. Social reform
I present an example in which the individuals' preferences are strict orderings, and under the majority rule, a transitive social ordering can be obtained and thus a non-empty choice set can also be obtained. However, the individuals' preferences in that example do not satisfy any conditions (restrictions) of which at least one is required by Inada (1969) for social preference transitivity under the majority rule. Moreover, the considered individuals' preferences satisfy none of the conditions of value restriction (VR), extremal restriction (ER) or limited agreement (LA), some of which is required by Sen and Pattanaik (1969) for the existence of a non-empty social choice set. Therefore, the example is an exception to a number of theorems of social preference transitivity and social choice set existence under the majority rule. This observation indicates that the collection of the conditions listed by Inada (1969) is not as complete as might be supposed. This is also the case for the collection of conditions VR, ER and LA considered by Sen and Pattanaik (1969). This observation is a challenge to some necessary conditions in the current social choice theory. In addition to seeking new conditions, one possible way to deal with this challenge may be, from a theoretical prospective, to represent the identified conditions (such as the VR, ER and LA) in terms of a common mathematical tool, and then, people may find more.
The Asian financial crisis of 1997 followed by political turmoil in 1998 has not given a significant change to agriculture and rural development in Indonesia. Throughout history, Indonesia has implemented the development of the agriculture sector under a top-down strategy. The success of this approach is marked by the achievement of rice self-sufficiency in 1984. Moreover, since the mid 1990s, Indonesia has embarked on various economic reforms that led to globalization. The Indonesian economy has become more integrated into the global economy and world market. Unfortunately, these changes were not translated properly to rural areas as there were no transition time for rural communities to adjust their economic condition to these changes. The multiplier effect that was expected as a consequence of globalization within rural economic systems was faced with difficulties such as paternalistic structure led by the elites. As a result, rural areas experienced with income gap, weak agriculture development, corruption, social problems and poverty. Meta-analysis approach is used to examine the approach that has been used in implementing program and projects. Findings from the articles showed that there is a need to do the re-orientation to the approach and increased the independency at the farmer level. The idea to develop national agriculture and rural development strategies that is based on a bottom-up approach, followed by an agrarian reform, as well as the formation of social capital and redefinition of local autonomy are the recommendation that high level decision maker could consider.
The author addresses the problems of the correlation between the national and the global (universal) in the cultural identity of Russia, as well as the interaction of tradition and modernization in the development of all spheres of Russian society. The article presents the position of the founders of the ideology of Slavophilism — A.S. Khomyakov, I.V. Kireevsky and J. F. Samarin. In the conditions of Russian autocracy in the middle of the 19th century Slavophiles demonstrated double civil courage, opposing their point of view to the state conservatism and state modernization. The attitude of Slavophile thinkers to the reforms of Peter the Great as a turning point in the history of Russian society and state, as well as in the formation of national selfconsciousness is shown. There were disagreements between Slavophiles in assessing the state of pre-Petrine Russia. However, the most important negative consequence of Peter's reforms and uncritical borrowing of the Western enlightenment was seen by all Slavophile authors as a split in Russia's cultural identity: the separation of educated society from the people and separation of the state from society. The Slavophiles associated the bridging of this gap with two factors. Firstly, with a revival of the Russian Enlightenment based on a synthesis of the national spiritual tradition and the universal achievements of Western civilization. Secondly, with the implementation of social and political reforms “from above”, first of all — with the abolition of serfdom.
O presente artigo busca refletir, através da pesquisa realizada para a elaboração da dissertação do mestrado, os impactos de voltar para a origem e como essa volta é respaldada, resguardada e constituída por eventos que nos precedem. Nesse sentido, o objetivo é compreender como a pesquisa etnográfica, suas práticas e seus processos são altamente reflexivos e resvalam, inclusive, em revisões bibliográficas e subjetivas. Entretanto, como o campo ocorreu entre minhas parentes-interlocutoras, a mudança subjetiva não aconteceu apenas na parente-pesquisadora, mas também em todo grupo de parentesco e ajudou a construir e reconstruir novas paisagens narrativas sobre nossa origem.
Social history and conditions. Social problems. Social reform, Anthropology
En el presente artículo se presenta el estallido social desde una perspectiva emocional, cuya reflexión propone que esta coyuntura implicó un proceso de retraumatización, debido al peso de la memoria colectiva sobre la dictadura de Augusto Pinochet.
Latin America. Spanish America, Social history and conditions. Social problems. Social reform
The ahadith, prophetic traditions for the Muslims around the world, are narrations originating from the sayings and the deeds of Prophet Muhammad (pbuh). They are considered one of the fundamental sources of Islamic legislation along with the Quran. The list of persons involved in the narration of each hadith is carefully scrutinized by scholars studying the hadith, with respect to their reputation and authenticity of the hadith. This is due to the its legislative importance in Islamic principles. There were many narrators who contributed to this responsibility of preserving prophetic narrations over the centuries. But to date, no systematic and comprehensive study, based on the social network, has been adapted to understand the contribution of early hadith narrators and the propagation of hadith across generations. In this study, we represented the chain of narrators of the hadith collection from Sahih Bukhari as a social graph. Based on social network analysis (SNA) on this graph, we found that the network of narrators is a scale-free network. We identified a list of influential narrators from the companions as well as the narrators from the second and third-generation who contribute significantly in the propagation of hadith collected in Sahih Bukhari. We discovered sixteen communities from the narrators of Sahih Bukhari. In each of these communities, there are other narrators who contributed significantly to the propagation of prophetic narrations. We also found that most narrators were centered in Makkah and Madinah in the era of companions and, then, gradually the center of hadith narrators shifted towards Kufa, Baghdad and central Asia over a period of time. To the best of our knowledge, this the first comprehensive and systematic study based on SNA, representing the narrators as a social graph to analyze their contribution to the preservation and propagation of hadith.
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.
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.