Big Data & Society

Big Data & Society 由 SAGE Publishing 出版，属中科院社会学大类（2025 升级版1区，Top 期刊）。按 OpenAlex 近年发文统计，该刊主要发表 Ethics and Social Impacts of AI、Privacy, Security, and Data Protection、Social Media and Politics 等主题的论文，这 3 个主题约占 38.6%，主导子领域为 Sociology and Political Science。（根据 OpenAlex 主题统计与中科院分区数据生成）

Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practices that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes.BD&S seeks contributions that analyse Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realised (ontologies) and governed (politics).This journal is a member of the Committee on Publication Ethics (COPE).Article processing charge (APC)The article processing charge (APC) for this journal is $2400. Commentaries are charged an APC of $1920.The article processing charge (APC) is payable when a manuscript is accepted after peer review, before it is published. The APC is subject to taxes where applicable. Please see further details here.Authors who do not have funding for open access publishing can request a waiver from the publisher, SAGE, once their Original Research Article is accepted after peer review. For all other content (Commentaries, Editorials, Demos) and Original Research Articles commissioned by the Editor the APC will be waived. Digital EnhancementsBig Data & Society is a digital-only journal and its platform accommodates a variety of multimedia to present complex images and dynamic visualisations and video and audio content. It is more than simply the mere transposition of a paper version as it is published on a platform that attends to the presentational issues that Big Data analyses demand (e.g., visualisation, multimedia, interactivity, code) and the challenges that digitisation presents for the future of scientific publishing (e.g., scholarly standards, protocols and scrutiny). While still adhering to limits in article length, we encourage authors to use rich media and multiple visualisations and, when possible, to include links to data sources in the body of their article. We avoid the use of supplementary files and instead embed all components (figures, tables, video, and any additional data files) in the article whenever possible. We also use the power of open access to make our content as widely available as possible. We have designed a platform that allows for simple and clean presentation of a variety of content. The initial platform launched in 2014 has gone through several changes and we continue to make improvements to the design and presentation of content. Journal SectionsWhile peer reviewed original research articles are the Journal's core content, we also publish a variety of other content to advance research on and communication about Big Data practices: Peer reviewed original research articles. The core content of the Journal is double blind, triple peer reviewed original research article

摘自期刊官网 Aims & Scope

研究方向（LetPub）：SOCIAL SCIENCES, INTERDISCIPLINARY

主编 Matt Zook出版商官网

编委会国家分布：中国大陆 1 位（约 1%）；主要国家 美国 18、英国 13、加拿大 5、荷兰 5、德国 4（共 70 位编委标注了国家） 编委会 ↗出版商官网 · 2026-09-30

中科院期刊分区表

数据库收录

SSCIScopusDOAJLetPub

国际期刊预警名单：各版本均未列入LetPub

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

影响因子

7.6LetPub · 2026-09-13

影响因子（出版商公布）

7.8出版商官网 · 2026-09-30

五年影响因子（出版商公布）

10出版商官网 · 2026-09-30

CiteScore 2026-06

9.7LetPub · 2026-09-13

SJR 2026-06

2.03LetPub · 2026-09-13

SNIP 2026-06

2.54LetPub · 2026-09-13

h-index

108OpenAlex · 2026-10-01

i10-index

648OpenAlex · 2026-10-01

两年平均被引

7.02OpenAlex · 2026-10-01

自引率

14.1%LetPub · 2026-09-13

Gold OA 文章占比

100%LetPub · 2026-09-13

发文规模

年文章数

118LetPub · 2026-09-13

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

各来源数据

平均审稿速度（社区反馈）

11 WeeksLetPub · 2026-09-13

录用率（出版商公布）

14.8%出版商官网 · 2026-09-30

投稿到首次决定

6 天出版商官网 · 2026-09-30

投稿到接收

313 天出版商官网 · 2026-09-30

接收到发表

31 天出版商官网 · 2026-09-30

投稿到发表（期刊自报）

约 11 周DOAJ · 2026-10-11

评审方式

双盲同行评审DOAJ

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

• APC 费用说明 ↗DOAJ
• 费用减免政策 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ

费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。

摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。

出版商

SAGE Publishing

出版国家或地区

United States

出版语言

English

ISSN

2053-9517

官方链接

• 期刊主页 ↗OpenAlex
• 投稿系统 ↗出版商官网
• 作者指南 ↗LetPub
• Aims & Scope ↗LetPub
• 专刊 / 特刊征稿 ↗出版商官网
• APC 费用说明 ↗DOAJ
• 费用减免政策 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ
• 评审流程 ↗LetPub
• 编委会 ↗LetPub
• 查重政策 ↗DOAJ