Big Data & Society

(The TQCC of Big Data & Society is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts. The publications cover those that have been published in the past four years, i.e., from 2019-06-01 to 2023-06-01.)
When data is capital: Datafication, accumulation, and extraction273
Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter103
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns100
Big Data from the bottom up95
The combine will tell the truth: On precision agriculture and algorithmic rationality81
From data politics to the contentious politics of data49
Logged out: Ownership, exclusion and public value in the digital data and information commons45
Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media44
The social imaginaries of data activism44
Smart forests and data practices: From the Internet of Trees to planetary governance40
Big Data and quality data for fake news and misinformation detection37
Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination33
Big–Thick Blending: A method for mixing analytical insights from big and thick data sources29
Data critique and analytical opportunities for very large Facebook Pages: Lessons learned from exploring “We are all Khaled Said”29
Opening the black box of data-based school monitoring: Data infrastructures, flows and practices in state education agencies28
Democratic governance in an age of datafication: Lessons from mapping government discourses and practices28
An unexpected journey: A few lessons from sciences Po médialab's experience25
Enforcing public data archiving policies in academic publishing: A study of ecology journals25
From pool to profile: Social consequences of algorithmic prediction in insurance25
Data out of place: Toxic traces and the politics of recycling24
To predict and to manage. Predictive policing in the United States23
“You Social Scientists Love Mind Games”: Experimenting in the “divide” between data science and critical algorithm studies22
Conceptual frameworks for social and cultural Big Data analytics: Answering the epistemological challenge21
Producing and projecting data: Aesthetic practices of government data portals20
Learning from lines: Critical COVID data visualizations and the quarantine quotidian20
Are the dead taking over Facebook? A Big Data approach to the future of death online20