期刊信息

Digital Social Sciences (DSS)

由出版方官方维护
请登录查看期刊网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
出版商:
Innovative Insights (SMC-Private) Limited
出版方账号:
ISSN:
3078-4972
浏览:
575
关注:
1
这一页信息有误？告诉我们
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

征稿

Digital Social Sciences (DSS) is an academic journal published by Innovative Insights (SMC-Private) Limited. (ISSN 3078-4972).

Journal Focus & Scope Digital Social Sciences (Digit. Soc. Sci.) ISSN: 3078-4980 (Online), 3078-4972 (Print) is a semi-annual peer-reviewed, open-access journal dedicated to advancing the understanding of how digital technologies transform social structures, behaviors, institutions, and relations. The journal provides a critical, interdisciplinary forum for the development, application, and reflection of digital research methodologies within the social sciences. DSS aims to bridge the gap between computational innovation and social inquiry. It responds to the challenge of rapidly growing digital data sources (born-digital archives, social media, administrative data) and computational methods (big data analytics, network analysis, simulation, NLP) outpacing existing theoretical and ethical frameworks in traditional social science publishing. The journal prioritizes work that not only uses digital tools but also critically examines their epistemological, ethical, and societal implications. Specifically, DSS aims to publish high-quality original research at the intersection of social science disciplines (sociology, political science, economics, anthropology, geography, law, communication studies) and digital methodologies. The journal fosters critical reflection on the history, current practice, and theory of digital social research, including issues of Indigenous data sovereignty, postcolonial digital studies, gender and technology, algorithmic bias, digital inequality, surveillance, and data justice.
由 Admin Agent 最后更新于

特刊

特刊：Digital Social Sciences – Call for Papers, Vol. 4, Issue 1 (2027): Living with Algorithms 截稿日期: 2027-01-30 Submission Deadline: 31 January 2027 Notification of Decision: within 1 month of submission Publication: March 2027 Description: Digital Social Sciences (Digit. Soc. Sci.; ISSN 3078-4980 Online, 3078-4972 Print) invites original research for its next issue. The issue will focus on one question: what happens to people, institutions and societies when algorithms help make decisions about them. Algorithmic systems now shape who gets credit, jobs, welfare and visibility. They also shape what news people see, how public services are delivered and how laws are enforced. These systems are often presented as neutral and efficient. In practice, they redistribute power. They can widen existing inequalities, change how citizens relate to the state, and alter how people understand themselves and each other. These effects are especially visible in the Global South, where digital systems are adopted quickly but regulation, data infrastructure and public scrutiny often lag behind. We welcome theoretically grounded and empirically rigorous work that examines life under algorithmic systems from any social science, legal or humanities perspective. Contributions may address, but are not limited to: How states and public bodies use automated decision-making, and what this means for accountability, due process and citizenship Algorithmic bias and its effects on gender, class, caste, ethnicity, disability and geography Platform work, algorithmic management and the changing conditions of labour Recommender systems, content moderation, and their effects on political discourse, misinformation and democratic participation Legal and regulatory responses to AI and data-driven systems, including data protection, consent and liability Resistance, workarounds and everyday agency: how individuals and communities interpret, contest or adapt to algorithmic systems AI companions, generative AI and the reshaping of intimacy, trust and social interaction Algorithmic systems in education, health and finance, and their effects on access and inclusion New methods for studying opaque systems, such as algorithm audits, computational social science, digital ethnography and mixed methods We particularly encourage comparative studies, research grounded in specific local contexts, and work that brings policy or practical relevance to theoretical debates. Article types: Research articles, review articles, policy analyses and short communications. Why publish with Digital Social Sciences: Free to publish: no submission, review or publication charges (no APC) Fully open access: articles are published under the CC BY 4.0 licence Peer reviewed: double-blind peer review with a rigorous, constructive process Permanent links: every article receives a Crossref DOI Submission: https://digitalsocialsciences.com/DSS/about/submissions Author Guidelines: https://digitalsocialsciences.com/DSS/author-guidelines Contact: [email protected] Publisher: Innovative Insights (SMC-Private) Limited, Lahore, Pakistan
由 Muhammad Zia-Ul-Haq 最后更新于

看过这个的人也在看

CCF全称影响因子出版商ISSN
CFuture Generation Computer Systems5.9Elsevier0167-739X
BJournal of Computer and System Sciences1.4Elsevier0022-0000
BTheoretical Computer Science1.1Elsevier0304-3975
CDiscrete Applied Mathematics1.1Elsevier0166-218X
BScience of Computer Programming1.6Elsevier0167-6423
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
International Journal of Chaos, Control, Modelling and SimulationAIRCC2319-8990
CJournal of Logical and Algebraic Methods in Programming1.0Elsevier2352-2208
Social LensInnovative Insights (SMC-Private) Limited3078-3933

相关期刊

CCF全称影响因子出版商ISSN
CDecision Support Systems6.8Elsevier0167-9236
Social LensInnovative Insights (SMC-Private) Limited3078-3933
IEEE Systems, Man, and Cybernetics LettersIEEE2836-628X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.5Elsevier0167-8655

相关会议

评论 0

暂无评论。

请登录后发表评论