Big Data & Society

Papers
(The TQCC of Big Data & Society is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Content moderation, AI, and the question of scale125
Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter120
Data sovereignty: A review116
Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation102
The COVID-19 Infodemic: Twitter versus Facebook99
Emerging models of data governance in the age of datafication96
AI ethics should not remain toothless! A call to bring back the teeth of ethics95
Algorithmic management in a work context84
The algorithm audit: Scoring the algorithms that score us77
Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech76
On the genealogy of machine learning datasets: A critical history of ImageNet67
Designing for human rights in AI67
Innovation under pressure: Implications for data privacy during the Covid-19 pandemic60
COVID-19 is spatial: Ensuring that mobile Big Data is used for social good55
Covid-19 and the accelerating smart home49
The birth of sensory power: How a pandemic made it visible?47
Techno-solutionism and the standard human in the making of the COVID-19 pandemic44
Algorithmic reparation44
From pool to profile: Social consequences of algorithmic prediction in insurance43
Black boxes, not green: Mythologizing artificial intelligence and omitting the environment40
Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-1939
Between surveillance and recognition: Rethinking digital identity in aid38
Bot, or not? Comparing three methods for detecting social bots in five political discourses37
Making data science systems work36
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature34
Cambridge Analytica’s black box34
The great Transformer: Examining the role of large language models in the political economy of AI34
Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence33
Dashboard stories: How narratives told by predictive analytics reconfigure roles, risk and sociality in education33
Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic33
Visual media analysis for Instagram and other online platforms32
A qualitative analysis of sarcasm, irony and related #hashtags on Twitter31
Countering misinformation: A multidisciplinary approach30
“Smittestopp”: If you want your freedom back, download now30
The Chilling Effects of Digital Dataveillance: A Theoretical Model and an Empirical Research Agenda28
The price of certainty: How the politics of pandemic data demand an ethics of care28
Online Labour Index 2020: New ways to measure the world’s remote freelancing market28
The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API28
Learning from lines: Critical COVID data visualizations and the quarantine quotidian28
The “black box” at work27
How partners mediate platform power: Mapping business and data partnerships in the social media ecosystem27
Studying the COVID-19 infodemic at scale26
Co-design and ethical artificial intelligence for health: An agenda for critical research and practice25
Blockchain imperialism in the Pacific24
A post-truth pandemic?23
Big data for climate action or climate action for big data?23
Alternative data and sentiment analysis: Prospecting non-standard data in machine learning-driven finance23
Different types of COVID-19 misinformation have different emotional valence on Twitter23
From FAIR data to fair data use: Methodological data fairness in health-related social media research22
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts22
Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application22
Mass personalization: Predictive marketing algorithms and the reshaping of consumer knowledge21
Emotional artificial intelligence in children’s toys and devices: Ethics, governance and practical remedies21
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic20
Design choices: Mechanism design and platform capitalism20
Editorial: The personalisation of insurance: Data, behaviour and innovation20
Auto-essentialization: Gender in automated facial analysis as extended colonial project19
Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning19
Precision medicine and digital phenotyping: Digital medicine's way from more data to better health19
Racial formations as data formations19
“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting18
Good organizational reasons for better medical records: The data work of clinical documentation integrity specialists18
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service18
For a heterodox computational social science17
Machine learning in tutorials – Universal applicability, underinformed application, and other misconceptions17
Contesting algorithms: Restoring the public interest in content filtering by artificial intelligence17
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research17
Caution: Rumors ahead—A case study on the debunking of false information on Twitter17
Knowledge co-creation in participatory policy and practice: Building community through data-driven direct democracy17
Discovering needs for digital capitalism: The hybrid profession of data science16
The value of sharing: Branding and behaviour in a life and health insurance company16
Revisiting the Black Box Society by rethinking the political economy of big data16
Seven intersectional feminist principles for equitable and actionable COVID-19 data15
‘It depends on your threat model’: the anticipatory dimensions of resistance to data-driven surveillance15
Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis15
Web3 as ‘self-infrastructuring’: The challenge is how15
The politics of algorithmic governance in the black box city14
In search of the citizen in the datafication of public administration14
Contested technology: Social scientific perspectives of behaviour-based insurance14
COVID-19, digital health technology and the politics of the unprecedented14
Toward a sociology of machine learning explainability: Human–machine interaction in deep neural network-based automated trading14
The Thick Machine: Anthropological AI between explanation and explication14
Diversity in sociotechnical machine learning systems14
Big Tech platforms in health research: Re-purposing big data governance in light of the General Data Protection Regulation’s research exemption13
For what it's worth. Unearthing the values embedded in digital phenotyping for mental health13
Epistemologies of predictive policing: Mathematical social science, social physics and machine learning13
Disruption and dislocation in post-COVID futures for digital health13
“AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication13
The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control12
Controversing the datafied smart city: Conceptualising a ‘making-controversial’ approach to civic engagement12
COVID-19: What does it mean for digital social protection?12
Viral Data12
“No disease for the others”: How COVID-19 data can enact new and old alterities12
The value of mass-digitised cultural heritage content in creative contexts12
Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China11
One size does not fit all: Constructing complementary digital reskilling strategies using online labour market data11
In search of ‘extra data’: Making tissues flow from personal to personalised medicine11
Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection11
Data diaries: A situated approach to the study of data11
Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study11
Intentionality and design in the data sonification of social issues11
For a situational analytics: An interpretative methodology for the study of situations in computational settings11
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