《Big Data & Society》雜志的最新年發文量為97篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章,以保持其在社會科學:跨領域領域的學術影響力。
該刊聚焦于社會學-社會科學:跨領域領域的前沿研究,致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 11 Weeks 。
Big Data & Society 雜志發文統計
文章名稱引用次數
- When data is capital: Datafication, accumulation, and extraction52
- Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management31
- How do data come to matter? Living and becoming with personal data26
- Data infrastructure literacy21
- Isomorphism through algorithms: Institutional dependencies in the case of Facebook16
- Datafication and data fiction: Narrating data and narrating with data14
- Data anxieties: Finding trust in everyday digital mess13
- Algorithmic affordances for productive resistance10
- Broken data: Conceptualising data in an emerging world9
- Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media9
國家/地區發文量
- USA47
- England30
- Netherlands21
- Australia19
- Denmark19
- Scotland13
- Canada11
- GERMANY (FED REP GER)10
- Sweden8
- Belgium6