Social Science Research Research Articles

Guardrails Needed for Social Science Research

Guardrails Needed for Social Science Research

Spatial overlap: trade-offs in refugees’ residential choices

ABSTRACT Social science research gives rise to what we call the ‘refugee mobility puzzle’: While restrictions on the freedom of residence limit refugees’ socio-economic integration, those who do not face such restrictions often move to areas with high unemployment that similarly hinder their labor market prospects. This study addresses a central element of this puzzle: What draws refugees to high unemployment areas? We propose the spatial overlap hypothesis arguing that refugees in comparatively generous reception systems initially prioritize or are forced to prioritize non-labor-market resources such as affordable housing and proximity to social networks. Thereby they often settle in areas with general economic disadvantage as such areas frequently overlap with said resources. Based on the IAB-BAMF-SOEP Survey of Refugees this study tracks residential histories of more than 2,400 refugee respondents across all German counties and postcodes. Discrete choice models show that preferences for cities, lack of affordable housing, the presence of small, service-oriented companies, and co-ethnic communities explain refugees’ gravitation to disadvantaged areas. These results support the spatial overlap hypothesis and suggest that recently approved refugees face trade-offs: area characteristics that are initially attractive tend to spatially overlap with such that likely inhibit longer-term integration prospects.

Application of Natural Science Methods in Social Science Research

The introduction of natural science methodologies into social science research aims to enhance the scientific rigor and validity of studies through precise techniques. By employing quantitative analysis, data mining, and model construction, researchers are able to delve deeper into the complexities of social phenomena, injecting new vitality into traditional qualitative research. Quantitative analysis methods render research outcomes more objective and reproducible, while data mining techniques can extract underlying patterns and trends from vast amounts of data. Model construction offers a systematic understanding of social dynamic processes, supporting the prediction and intervention of future social developments. Computer simulation technologies, particularly with the backing of big data and high-performance computing, enable hypothesis testing and virtual experiments on social systems, allowing for multi-level and multi-perspective observations of social phenomena. This interdisciplinary integration not only provides new research tools and methodologies for the social sciences but also effectively fosters the interchange of knowledge between different disciplines. However, continuous reflection and adjustment in practical applications are necessary to address the potential pitfalls and limitations that may arise from the complexity of these methods.

Exploring how to widen the acceptability of public health interventions: a systematic review protocol

IntroductionHealth interventions that require significant change to individual lifestyles or social norms can pose a challenge for widespread public acceptability and uptake. At the same time, over the last two...

“I’ll Be Here:” Reflections on Representation and Research Communication Through Zine Work

This article explores the decision-making process that culminated in the creation of a zine as a responsive research communication tool. The zine “I’ll Be Here” emerged from research conducted with community organizations in three Ontario cities as an alternative format to return research findings to participants in a form more accessible than a conventional academic manuscript. This reflective piece not only draws attention to the limitations of academic writing for knowledge mobilization, but also amplifies the need for research communication strategies capable of encapsulating the richness of knowledge producers’ experiences. Exploring the intricacies of communicating social science research effectively and contemplating the extension of responsive reciprocal research values into writing, this article emphasizes the potential of creative research communication methods like zine work to be effective, accessible, and inclusive avenues for knowledge mobilization.

StructuGraphRAG: Structured Document-Informed Knowledge Graphs for Retrieval-Augmented Generation

Retrieval-augmented generation (RAG) enhances large language models (LLMs) by incorporating external data sources beyond their training sets and querying predefined knowledge bases to generate accurate, context-rich responses. Most RAG implementations use vector similarity searches, but the effectiveness of this approach and the representation of knowledge bases remain underexplored. Emerging research suggests knowledge graphs as a promising solution. Therefore, this paper presents StructuGraphRAG, which leverages document structures to inform the extraction process and constructs knowledge graphs to enhance RAG for social science research, specifically using NSDUH datasets. Our method parses document structures to extract entities and relationships, constructing comprehensive and relevant knowledge graphs. Experimental results show that StructuGraphRAG outperforms traditional RAG methods in accuracy, comprehensiveness, and contextual relevance. This approach provides a robust tool for social science researchers, facilitating precise analysis of social determinants of health and justice, and underscores the potential of structured document-informed knowledge graph construction in AI and social science research.

Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines

Social media personalization algorithms increasingly influence the flow of civic information through society, resulting in concerns about "filter bubbles'', "echo chambers'', and other ways they might exacerbate ideological segregation and fan the spread of polarizing content. To address these concerns, we designed and conducted a sociotechnical audit (STA) to investigate how Twitter/X's timeline algorithm affects news curation while also tracking how user perceptions change in response. We deployed a custom-built system that, over the course of three weeks, passively tracked all tweets loaded in users' browsers in the first week, then in the second week enacted an intervention to users' Twitter/X homepage to restrict their view to only the algorithmic or chronological timeline (randomized). We flipped this condition for each user in the third week. We ran our audit in late 2023, collecting user-centered metrics (self-reported survey measures) and platform-centered metrics (views, clicks, likes) for 243 users, along with over 800,000 tweets. Using the STA framework, our results are two-fold: (1) Our algorithm audit finds that Twitter/X's algorithmic timeline resulted in a lower quantity but higher quality of news --- less ideologically congruent, less extreme, and slightly more reliable --- compared to the chronological timeline. (2) Our user audit suggests that although our timeline intervention had significant effects on users' behaviors, it had little impact on their overall perceptions of the platform. Our paper discusses these findings and their broader implications in the context of algorithmic news curation, user-centric audits, and avenues for independent social science research.

An evidence-based review of the pre-requisite interventions for women's inclusion in the blue economy in the global south: A case study of India

The blue economy (BE) is a new frontier that could promote ocean sustainability and equity in the access and utilization of ocean resources. This is more relevant amongst ocean-dependent communities in the global south, such as in India. However, despite increasing evidence of the potential of the BE in promoting women’s inclusion, systemic barriers are still prevalent. Current interventions to bridge gaps concerning gender equity and women's inclusion in the BE are largely fragmented and less comprehensive. This undermines avenues geared towards reactivating gender inclusion and women’s empowerment (WE). Further negative ramifications might emerge, including a limited understanding of evidence-based and context-specific solutions for WE in the BE, ocean sustainability challenges, and the effectiveness of current solutions for coastal women's inclusion. Here, we draw together diverse perspectives systematically extracted from the literature on WE in the BE and develop a ‘strategic sustainable transformational pathway.’ The proposed pathway is grounded on transformative WE perspectives, experiences, and knowledge from India and the global south. The pathway highlights that addressing gender inequality and the core needs of women in the BE requires phased assessments. This can help inform transformative actions for WE. Phased assessments should be based on inclusive stakeholder participation in co-designing, co-monitoring, and continuous evaluation of the efficacy of specific BE interventions. Such actions can contribute to marine social science research that is largely less explored. Future studies can explore the applicability of the pathway by using myriad transdisciplinary approaches centered on participatory co-design and co-inclusion. In India, this can begin with the re-defining of BE in the context of WE. This can help generate micro-level narratives of coastal women on how to promote equity, and WE in the BE, across geographies.

Revisiting North-South Disparities in Naming Practices: An Extension and Update

This research note presents evidence of persistent disparities in naming practices in social science research between the global North and South from 1960 to the present. The analysis relied on bibliometric records of 11.9 million articles sourced from the OpenAlex collection. By covering the 1960–2024 period and including six social science and humanities subdisciplines—Economic, Geography, History, Political Sciences, Psychology, and Sociology—this study replicates and expands an existing study that used Scopus data (0.5 million articles). Results show that scientific articles about global North countries and populations are systematically less likely to mention the country name in their titles compared to global South. For example, compared to the US, articles about China are between 1.8 and 2.7 times more likely to include the country name in the title. Significant variations across subdisciplines are observed, with Psychology displaying the lowest localization rates and greatest geographical gaps, and History showing seemingly converging trends over time across geographies. Continued research is needed to warrant diversity and inclusivity in social science research. A country-year dataset with country-mention counts in titles and abstracts is made available.

Ethical Implications of Social Science Research on Xenotransplantation.

Social science research has generated extensive knowledge on xenotransplantation, encompassing the perspectives of actual and potential patients, other stakeholders, public opinion and debate, human-animal relationships, animal production and husbandry, bioeconomy, as well as biotechnology governance and regulation. We therefore convened social science researchers to discuss the latest developments in xenotransplantation research and practice in late 2023. Based on a brief workshop report, we aim to highlight the various ethical implications of this debate. After outlining the role of social science research in the ethical evaluation of xenotransplantation, we elaborate three critical points that may become pivotal in the future evolution of xenotransplantation: the framing of xenotransplantation in the clinical setting and in the public, the potential impact of religious beliefs on patients' transplant choices, and the consequences for the allotransplantation system if xenotransplantation becomes clinically established, including the allocation of allo- and xeno-organs.

Veblen’s quadripartite response to the First World War

Prior to the First World War, Thorstein Veblen wrote extensively about economic theory, formulating the tenets of an evolutionary and institutional economics, and criticizing the static and atomistic premises of classical and marginalist economics, particularly the marginalist theory of distribution, which, in his view, wrongly saw wealth as a reward for productive human labor, rather than a result of the unproductive conduct of parasitic elites. In this period, Veblen devoted relatively little attention to the topics of war and peace. As well, he held that social-scientific inquiry is disinterested: a value-neutral search for knowledge of empirical facts and the theories that explain them. However, during the War, Veblen, while retaining the economic principles of his prewar writings, increasingly combined his emphasis on economics with greater attention to political and cultural factors. Simultaneously, he abandoned his prior insistence on value neutrality to become an activist critic of the War and of Germany’s role in fomenting and perpetuating it. This shift led him to develop: (1) a policy-laced theory of war and peace; (2) practical proposals for building an international organization to promote world peace; (3) specific measures to alleviate wartime food and labor shortages in the U.S.; and (4) a sweeping plan for postwar social “reconstruction.” As Veblen developed these four sets of ideas, he continued his opposition to static and atomistic forms of analysis as well as his commitment to an evolutionary and institutional approach, which saw economic life, along with war and peace, turning on a divide between productive human beings and unproductive parasitic elites.

Images as data – modelling data interactions in social science and humanities research

PurposeThe expanded reuse of images as research data in the social sciences and humanities necessitates the understanding of scholars’ real-life interactions with the type of data. The aim of this study is to analyse activities constituting image data interactions in social science and humanities research and to provide a model describing the data interaction process.Design/methodology/approachThe study is based on interviews with 21 scholars from various academic backgrounds utilising digital and print images collected from external sources as empirical research data. Qualitative content analyses were executed to analyse image data interactions throughout the research process in three task types: contemporary, historical and computational research.FindingsThe findings further develop the task-based information interaction model (Järvelin et al., 2015) originally created to explain the information interaction process. The enhanced model presents five main image data interaction activities: Data gathering, Forming dataset, Working with data, Synthesizing and reporting and Concluding, with various sub-activities. The findings show the variety of image data interactions in different task types.Originality/valueThe developed model contributes to understanding critical points in image data interactions and provides a model for future research analysing research data interactions. The model may also be used, for example, in designing better research services and infrastructures by identifying support needs throughout the research process.

Internet-mediated phone interviews for remote qualitative educational research in the Global South during COVID–19: a researcher’s and participants’ experiential reflections

ABSTRACT The COVID-19 pandemic required social science researchers to adopt online research methods to avert the risks of face-to-face interactions. Yet, there is limited reflection on the applicability of online interviews in qualitative educational research, particularly those conducted in the Global South. This article, drawing on the researcher’s and participants’ experiences, reflects on internet-mediated phone interviews in a qualitative study that investigated the technology professional development of teachers in Ghana. Findings from the reflections include strategies (rapport building, prior environmental scanning, and use of prompts and probes) adopted to elicit quality responses and address enactment challenges, including network connectivity, lack of nonverbal cues, and physical presence. Benefits gained from the phone interviews transcend limitations faced, which impacted little on data quality. This article argues that beyond being seen as alternatives to in-person interviews, phone interviews have distinct strengths to stand as autonomous and first-route research methods for trustworthy qualitative research, including in the Global South.

Public attitudes towards social media field experiments.

The growing use of social media field experiments demands a rethink of current research ethics in computational social science and psychological research. Here, we provide an exploratory empirical account of key user concerns and outline a number of critical discussions that need to take place to protect participants and help researchers to make use of the novel opportunities of digital data collection and field studies. Our primary contention is that we need to elicit public perceptions to devise more up-to-date guidelines for review boards whilst also allowing and encouraging researchers to arrive at more ethical individual study design choices themselves. To ground our discussion in real-world examples of online experiments, we focus on recent social media studies in the field of misinformation, polarization, and hate speech research. We conclude by discussing how we can better strike a balance between meeting ethical guidelines and the concerns of social media users alongside maximizing scientific impact and credibility.

Implementing Children's Rights in Vietnamese Families: Cultural and Socioeconomic Influences

Family and family culture are compelling research topics for Social Science researchers. The complexity of this category requires an approach tailored to the research field. In legal science, the family is studied as an entity encompassing relationships regulated by law, such as those between spouses and between parents and children. However, a more practical approach to researching the family from a legal perspective necessitates a general understanding of family culture and its specific impact. As contemporary family culture values continue to evolve, traditional values are sometimes overridden, giving children more autonomy. In this article, we aim to outline the fundamental aspects of family culture and explore the impact of changing family culture on upholding children's rights in Vietnam.

Best practices for responsibly using AI tools in social sciences research

Best practices for responsibly using AI tools in social sciences research

Research-Based Practices to Engage Youth in a Vibrant Catholic Church: The Case for Implementing Sacred Listening Practices

This article explores the theological and practical implications of Sacred Listening, a concept developed in response to the Synod on Synodality initiated by Pope Francis. The Synod emphasizes the church’s call to a more relational and participatory ecclesial life, rooted in listening, dialogue, and accompaniment. Sacred Listening is proposed as a theologically grounded practice designed to rebuild trust and foster deeper connections within the faith community, particularly in a low-trust environment. Drawing on the theological principles of Imago Dei, as well as contemporary social science research, the article presents Sacred Listening as a means to move beyond traditional modes of institutional authority toward relational trust and authentic engagement. The article further introduces practical tools that operationalize these principles, providing concrete strategies for religious leaders to engage with their communities more effectively. This work contributes to the ongoing theological discourse on synodality and offers a framework for creating a more inclusive and responsive church in today’s complex social landscape.

Credible, Competent Contributors: Children and Young People as Postdigital Citizen Social Scientists

AbstractI argue that participatory action research (PAR) is a valuable means by which to advance citizen social science, not by researching with and on adults, but with children and young people (CYP). Given the right opportunities, using child-friendly and child-centred research methods, CYP can be credible, competent contributors to social science, including the digital environment. The foundational goals of PAR are empowerment, transformation, and enfranchisement of the traditionally marginalised, and none are more universally and structurally marginalised than CYP. Using a child rights argument, I explain why CYP continue to be excluded from research and why there is still so much scepticism that CYP are credible contributors. One reason is childism, a system of oppression, prejudice, and discrimination against CYP on account of their perceived status as not yet human and not fully rational beings. Childism entails the belief that adults are automatically superior to children. I argue further that CYP’s participation in postdigital social science research enacts the entitlements in Convention on the Rights of the Child (CRC), even though state parties, having ratified this landmark convention, find it very challenging to do more than simply laud its aims. Using three case studies of CYP’s contribution to research and human rights activism, I make the case that they are expert knowers of their own social and digital experiences and have the skills and insights to examine their social worlds in ways that adult researchers too easily overlook, downplay, or simply ignore. As importantly is that CYP are expert users of digital and social media. Their epistemic and ontological experiences as users, creators, contributors, and disseminators of content, and as targets of malign actors, must be included in any research, policy, or law.

Comparative Historical Analysis in Political Theory

AbstractTwo important methodological debates in political theory concern (i) the place of historical research and interpretation in normative inquiry; and (ii) the importance of comparing different cultural traditions of political thought. The first question animates a long-standing controversy over the relative importance of ‘history of political thought’ versus ‘philosophy’ in political theory, while the second has been central to the recent growth of ‘comparative political theory’. Despite both debates being concerned, in fundamental ways, with history and comparison, they have remained surprisingly disconnected from broader debates in the humanities and social sciences about the use of comparative history and, in particular, of the prominent methodological approach in political science known as ‘comparative historical analysis’. This may reflect the fact that the debates over history of political thought and comparative political theory have fundamentally revolved around thought—history as the history of thought and comparison as the comparison of thought—whereas comparative historical analysis is more centrally focused on the study of political behaviour. In this paper I suggest that this neglect of comparative historical analysis in political theory represents a missed opportunity. Like other forms of social scientific inquiry, comparative historical analysis can yield important empirical knowledge for political theorists. But I wish to more ambitiously suggest that comparative historical analysis can also be adapted for conducting normative political theory itself. I summarise the key features of comparative historical analysis for political theorists, and explain how its use of historical cases can supplement both the use of imaginary thought experiments and the study of contemporary politics. I then delineate three specific ways in which comparative historical analysis might be used to support normative inquiry: deductive testing, inductive construction, and casuistic elaboration. All three, I argue, can help meet recent calls to bring the study of real political behaviour more centrally into political theory research.

The Problem of Scale Contamination and Construct Validity in Mental Health, Social Science and Spirituality-Related Research

This article explores the pervasive issue of scale contamination and its impact on construct validity in mental health, social science, and spirituality-related research. Scale contamination occurs when measurement tools designed to assess one specific domain inadvertently incorporate elements from unrelated constructs, leading to confusion regarding what the scale is actually measuring. The blending of distinct psychological domains, such as depression, anxiety and well-being, undermines measurement precision, leading to skewed research conclusions and misguided clinical practices. The failure to detect or address contamination can perpetuate errors in treatment efficacy, particularly in areas such as mental health and spirituality, where precise measurement is crucial. This article emphasizes the importance of ensuring construct validity, which refers to the accurate measurement of specific concepts such as moral injury or posttraumatic stress disorder, and it highlights the risk of conflating distinct constructs. The widespread use of contaminated scales, often adopted without critical evaluation, poses a significant threat to the integrity of research outcomes. In order to address these challenges, this study advocates for rigorous scale development and validation processes, encouraging researchers, peer reviewers and journal editors to scrutinize the psychometric properties of scales. By ensuring that scales measure only the intended constructs, future research can produce more accurate and meaningful results, leading to improved clinical interventions and policy decisions.