Hasil untuk "Social sciences (General)"

Xiaoyang Liu, Xupeng Huang, Rongjin Zhu et al.

To improve the counting accuracy in dense rice seed scenarios, this study proposes a YOLOv5-based dense rice seed counting method that integrates C3CBAM and Soft-NMS. This method integrates the CBAM attention module into the shallow C3 modules of the backbone network to enhance image features. Additionally, it removes the original large and medium-sized object detection heads of YOLOv5 and adds a dedicated detection head for tiny rice seeds. For post-processing of model prediction data, the Soft-NMS algorithm is employed to replace standard Non-Maximum Suppression (NMS) and reduce missed detections. Finally, image acquisition, seed counting, and a user interface are integrated into a single system, enabling rice breeders to conduct seed counting tasks more intuitively and efficiently. Compared with the baseline YOLOv5 model, the recall and mAP@[0.5:0.95] of the improved model increase by 6.4 % and 5.7 %, respectively. Furthermore, this study designs experiments with three levels of seed density. In the intermediate-type rice seed samples, the detection accuracy reaches 100 % under light and moderate density conditions, while it maintains stable counting performance under heavy density conditions with an accuracy above 99.7 %. This work significantly enhances rice seed counting efficiency for researchers and facilitates rice variety improvement studies.

Zhiye Jin, Yibai Li, K. D. Joshi et al.

This study presents the development of the PsyCogMetrics AI Lab (psycogmetrics.ai), an integrated, cloud-based platform that operationalizes psychometric and cognitive-science methodologies for Large Language Model (LLM) evaluation. Framed as a three-cycle Action Design Science study, the Relevance Cycle identifies key limitations in current evaluation methods and unfulfilled stakeholder needs. The Rigor Cycle draws on kernel theories such as Popperian falsifiability, Classical Test Theory, and Cognitive Load Theory to derive deductive design objectives. The Design Cycle operationalizes these objectives through nested Build-Intervene-Evaluate loops. The study contributes a novel IT artifact, a validated design for LLM evaluation, benefiting research at the intersection of AI, psychology, cognitive science, and the social and behavioral sciences.

Michał Ledwosiński

Artykuł podejmuje problematykę kompetencji miękkich w kontekście przekładoznawstwa oraz ich znaczenia w pracy tłumacza, zwłaszcza w środowiskach zawodowych, kształtowanych przez nowe technologie. Analizie poddano relacje między kompetencjami twardymi a miękkimi oraz wpływ kompetencji interpersonalnych na efektywność pracy tłumaczeniowej w warunkach współczesnej współpracy zespołowej. Celem tekstu jest ukazanie, że rozwój technologiczny nie redukuje znaczenia umiejętności społecznych, lecz wręcz potęguje potrzebę ich obecności w zawodzie tłumacza.

Masanori Takano, Kenji Yokotani, Takahiro Kato et al.

Online communication via avatars provides a richer online social experience than text communication. This reinforces the importance of online social support. Online social support is effective for people who lack social resources because of the anonymity of online communities. We aimed to understand online social support via avatars and their social relationships to provide better social support to avatar users. Therefore, we administered a questionnaire to three avatar communication service users (Second Life, ZEPETO, and Pigg Party) and three text communication service users (Facebook, X, and Instagram) (N=8,947). There was no duplication of users for each service. By comparing avatar and text communication users, we examined the amount of online social support, stability of online relationships, and the relationships between online social support and offline social resources (e.g., offline social support). We observed that avatar communication service users received more online social support, had more stable relationships, and had fewer offline social resources than text communication service users. However, the positive association between online and offline social support for avatar communication users was more substantial than for text communication users. These findings highlight the significance of realistic online communication experiences through avatars, including nonverbal and real-time interactions with co-presence. The findings also highlighted avatar communication service users' problems in the physical world, such as the lack of offline social resources. This study suggests that enhancing online social support through avatars can address these issues. This could help resolve social resource problems, both online and offline in future metaverse societies.

Ziv Epstein, Farnaz Jahanbakhsh, Tiziano Piccardi et al.

The value alignment of sociotechnical systems has become a central debate, but progress depends on how human values are perceived in the content these systems surface and how such perceptions can be measured at scale. Social media platforms are a prominent class of sociotechnical systems where algorithmic curation shapes exposure to value-laden content at scale. Large-language models offer new opportunities for measuring expressions of human values (e.g., humility or equality) in social media data, but value expressions can be subjective: different people will annotate the same post with different values. In this paper, we draw on the Schwartz value system as a broadly encompassing and theoretically grounded set of basic human values, and introduce a framework to personalize the measurement of expressions of Schwartz values in social media posts at scale. We collect 32,370 ground truth value expression annotations from N=1,079 people on 5,211 social media posts representative of real users' feeds. Due to the subjectivity of the task, we observe low levels of inter-rater agreement between people, and low agreement between human raters and LLM-based methods. In response, we construct a personalization architecture for classifying value expressions by learning from a small number of highly informative calibration annotations per user. In evaluation, we find that modeling these differences successfully yields value expression predictions that people agree with more than they agree with other people. These results contribute new methods and understanding for the measurement of human values in social media data.

Ya-Wen Peng, Ri Tang, Qiao-Yi Xu et al.

Background: Fibrosis is a heavy burden on the global healthcare system. Recently, an increasing number of studies have demonstrated that Extracellular vesicles play an important role in intercellular communication under both physiological and pathological conditions. This study aimed to explore the role of extracellular vesicles’ in fibrosis using bibliometric methods. Methods: Original articles and reviews related to extracellular vesicles and fibrosis were obtained from the Web of Science Core Collection database on November 9, 2022. VOSviewer was used to obtain general information, including co-institution, co-authorship, and co-occurrence visualization maps. The CiteSpace software was used to analyze citation bursts of keywords and references, a timeline view of the top clusters of keywords and cited articles, and the dual map. R package ''bibliometrix'' was used to analyze annual production, citation per year, collaboration network between countries/regions, thematic evolution map, and historiography network. Results: In total, 3376 articles related to extracellular vesicles and fibrosis published from 2013 to 2022 were included in this study, with China and the United States being the top contributors. Shanghai Jiao Tong University has the highest number of publications. The main collaborators were Giovanni Camussi, Stefania Bruno, Marta Tepparo, and Cristina Grange. Journals related to molecular, biology, genetics, health, immunology, and medicine tended to publish literature on extracellular vesicles and fibrosis. “Recovery,” “heterogeneity,” “degradation,” “inflammation,” and “mesenchymal stem cells” are the keywords in this research field. Literature on extracellular vesicles and fibrosis associated with several diseases, including “kidney disease,” “rheumatoid arthritis,” and “skin regeneration” may be the latest hot research field. Conclusions: This study provides a comprehensive perspective on extracellular vesicles and fibrosis through a bibliometric analysis of articles published between 2013 and 2022. We identified the most influential countries, institutions, authors, and journals. We provide information on recent research frontiers and trends for scholars interested in the field of extracellular vesicles and fibrosis. Their role in biological processes has great potential to initiate a new upsurge in future research.

Maria Giulia Pinheiro, Saru Vidal, Cynthia Agra de Brito Neves

The purpose of this paper is to discuss and analyze public posts on the social network Facebook that point to xenophobic opinions about the (i)migrant poetry slam scene in Portugal. These posts reflect the post-colonial attitudes of a historically colonizing country, which is currently experiencing a cultural identity crisis that oscillates between Lusotropicalist and Eurocentric ideology, and whose economic, racial and gender discrimination is still present. We will therefore look at poetry slam in Portugal in the light of post-colonial, identity and social disputes.

Kulwa Mwita Mang'ana, Daniel Wilson Ndyetabula, Silver John Hokororo

Small and Medium-Sized Enterprises in agriculture sector, contribute significantly to economic change in developing countries by addressing a wide range of unemployment, nutrition, income poverty, and food security issues. Despite their critical role and contribution to economic growth, they have received a great deal of criticism for their poor performance. Most of the challenges confronting these agro-enterprises, however, are the result of poor financial management practices. Previous research studies have indicated generally that financial management practices have an impact on the performance and success for small businesses, yet scholarly research shows there is limited empirical evidence on which financial management practices have an influence on the agri-SMEs performance, which is why it was critical to examine this phenomenon. A total of 427 SMEs in Tanzania's agricultural sector were surveyed and examined. The developed hypotheses were evaluated using Structural Equation Modeling (SEM) with Smart PLS 4 to determine the effect of implementing financial management practices on the performance of agri-SME. Findings from the empirical study shows that working capital management practices and financing management practices have significant positive influence on both financial and organizational performance of the surveyed agro enterprises, while the accounting, financial reporting practices and capital budgeting management practices have insignificant influence on the performance agri-SMEs performance. Based on the findings, the study recommends that the government and regulatory authorities such as the Small Industries Development Organization (SIDO) must continue to emphasize their policies for improved agri-SME performance and sustainability while directly or indirectly encourage managers (venture owners) to consider working capital and financing practices as core to their financial management strategies.

Huu Nguyen Duc

Women have the right to be equal in all fields. This needs to be mainstreamed across the entire legal system, enshrined in both law and law enforcement, including positive measures such as quotas. As all areas of life are concerned with gender equality, efforts are needed to root out gender-based discrimination everywhere. Empowering women, and improving the status of women in society is a measure to accelerate the progress of countries towards achieving the goals of socially sustainable development. Vietnam is one of the countries that is always interested in women’s empowerment and gender equality in the process of sustainable development of the country. From the analysis of gender and feminist theories, the article will point out the motivating effects of women’s empowerment for socially sustainable development goals. Thereby, proposing solutions, contributing to the good implementation of women’s empowerment, and improving the status and role of women towards the goal of socially sustainable development in Vietnam now and in the future.

Kmar Bendana, Choukri Hmed, Antoine Perrier et al.

Thea Rossi

The current migratory movement from Venezuela to Colombia is at the heart of a heated debate. This paper aims to focus the attention on the Colombian context, starting from the transition process generated after the internal armed conflict. After that, border dynamics and migration policies will be examined, highlighting how the centrality of the subject order / disorder, social harmony / disharmony has also oriented the construction of the figure of the Venezuelan migrant both politically and in the media, with consequences on the reception and inclusion.

Ghazal Kalhor, Hannah Gardner, Ingmar Weber et al.

Online professional social networking platforms provide opportunities to expand networks strategically for job opportunities and career advancement. A large body of research shows that women's offline networks are less advantageous than men's. How online platforms such as LinkedIn may reflect or reproduce gendered networking behaviours, or how online social connectivity may affect outcomes differentially by gender is not well understood. This paper analyses aggregate, anonymised data from almost 10 million LinkedIn users in the UK and US information technology (IT) sector collected from the site's advertising platform to explore how being connected to Big Tech companies ('social connectivity') varies by gender, and how gender, age, seniority and social connectivity shape the propensity to report job promotions or relocations. Consistent with previous studies, we find there are fewer women compared to men on LinkedIn in IT. Furthermore, female users are less likely to be connected to Big Tech companies than men. However, when we further analyse recent promotion or relocation reports, we find women are more likely than men to have reported a recent promotion at work, suggesting high-achieving women may be self-selecting onto LinkedIn. Even among this positively selected group, though, we find men are more likely to report a recent relocation. Social connectivity emerges as a significant predictor of promotion and relocation reports, with an interaction effect between gender and social connectivity indicating the payoffs to social connectivity for promotion and relocation reports are larger for women. This suggests that online networking has the potential for larger impacts for women, who experience greater disadvantage in traditional networking contexts, and calls for further research to understand differential impacts of online networking for socially disadvantaged groups.

Jooyoung Lee, Sarah Rajtmajer, Eesha Srivatsavaya et al.

We investigate relationships between online self-disclosure and received social feedback during the COVID-19 crisis. We crawl a total of 2,399 posts and 29,851 associated comments from the r/COVID19_support subreddit and manually extract fine-grained personal information categories and types of social support sought from each post. We develop a BERT-based ensemble classifier to automatically identify types of support offered in users' comments. We then analyze the effect of personal information sharing and posts' topical, lexical, and sentiment markers on the acquisition of support and five interaction measures (submission scores, the number of comments, the number of unique commenters, the length and sentiments of comments). Our findings show that: 1) users were more likely to share their age, education, and location information when seeking both informational and emotional support, as opposed to pursuing either one; 2) while personal information sharing was positively correlated with receiving informational support when requested, it did not correlate with emotional support; 3) as the degree of self-disclosure increased, information support seekers obtained higher submission scores and longer comments, whereas emotional support seekers' self-disclosure resulted in lower submission scores, fewer comments, and fewer unique commenters; 4) post characteristics affecting social feedback differed significantly based on types of support sought by post authors. These results provide empirical evidence for the varying effects of self-disclosure on acquiring desired support and user involvement online during the COVID-19 pandemic. Furthermore, this work can assist support seekers hoping to enhance and prioritize specific types of social feedback.

Santanu Acharjee, Akhil Thomas Panicker

In this paper, we study trust levels in social networks from the perspective of Dunbar's number.

Monica Violeta Achim, Viorela Ligia Văidean, Sorin Nicolae Borlea et al.

Economic and financial crime is closely related to the changes and the development of societies. In this paper, we question whether the types of economic and financial crimes change as the society develops or not. For our purpose, we use the sample of 27 European Union member countries, for the 2005–2020 time period, which forms an unbalanced panel dataset. The main econometric method is represented by the Pooled OLS method for panel data. Our findings highlight that higher economic and sustainable development determines a reduction in the levels of corruption, shadow economy, and cybercrime. Additionally, we find that increased economic and sustainable development is related to higher levels of money laundering. These findings help governments to understand the way in which various types of economic and financial crimes unfold within different contexts of economic development, in order to implement specific policies for reducing the general level of crimes.

Hadrien Clouet

Jetson Lourenço Lopes da Silva

O presente trabalho tem por finalidade discorrer brevemente sobre a relação entre o Movimento dos Trabalhadores Rurais Sem Terra (MST) e o Estado, que se apresenta no plano estratégico-político desse movimento social a partir dos programas de reforma agrária que concebeu ao longo de sua trajetória histórica. Vale lembrar, em tais programas estão não só sua concepção e proposta de socialização da terra ou de reforma agrária, como também estão expressos a programática política estratégica que projeta para o conjunto da sociedade. Destarte, aqui foi realizado um estudo aproximativo de alguns programas de reforma agrária elaborados pelo MST, em que se analisa e se tece considerações sobre a relação que costura com o Estado. Observou-se que o aparato estatal aparece como uma mediação importante para o MST, seja pela pressão imediata para efetivação da reforma agrária, seja porque, do ponto de vista mais geral, o Estado assume relevância fundamental para viabilidade do projeto político que concebe. No entanto, o mesmo Estado que buscou aproximação durante o Governo Lula serviu de alicerce institucional para reprodução do capitalismo dependente do Brasil, que tem correlação direta com a questão agrária.

Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek et al.

People assume different and important roles within social networks. Some roles have received extensive study: that of influencers who are well-connected, and that of brokers who bridge unconnected parts of the network. However, very little work has explored another potentially important role, that of creating opportunities for people to interact and facilitating conversation between them. These individuals bring people together and act as social catalysts. In this paper, we test for the presence of social catalysts on the online social network Facebook. We first identify posts that have spurred conversations between the poster's friends and summarize the characteristics of such posts. We then aggregate the number of catalyzed comments at the poster level, as a measure of the individual's "catalystness." The top 1% of such individuals account for 31% of catalyzed interactions, although their network characteristics do not differ markedly from others who post as frequently and have a similar number of friends. By collecting survey data, we also validate the behavioral measure of catalystness: a person is more likely to be nominated as a social catalyst by their friends if their posts prompt discussions between other people more frequently. The measure, along with other conversation-related features, is one of the most predictive of a person being nominated as a catalyst. Although influencers and brokers may have gotten more attention for their network positions, our findings provide converging evidence that another important role exists and is recognized in online social networks.

Saad Alqithami, Musaad Alzahrani, Fahad Alghamdi et al.

The paper provides an understanding of social capital in organizations that are open membership multi-agent systems with an emphasis in our formulation on the dynamic network of social interaction that, in part, elucidate evolving structures and impromptu topologies of networks. This paper, therefore, models an open source project as an organizational network. It provides definitions of social capital for this organizational network and formulation of the mechanism to optimize the social capital for achieving its goal that is optimized productivity. A case study of an open source Apache-Hadoop project is considered and empirically evaluated. An analysis of how social capital can be created within this type of organizations and driven to a measurement for its value is provided. Finally, a verification on whether the social capital of the organizational network is proportional towards optimizing their productivity is considered.

Kazutoshi Sasahara, Wen Chen, Hao Peng et al.

While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as "echo chambers." Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both their opinions and social connections based on the information to which they are exposed through sharing. The model dynamics show that even with minimal amounts of influence and unfriending, the social network rapidly devolves into segregated, homogeneous communities. These predictions are consistent with empirical data from Twitter. Although our findings suggest that echo chambers are somewhat inevitable given the mechanisms at play in online social media, they also provide insights into possible mitigation strategies.