Big Data & Society

Papers
(The median citation count of Big Data & Society is 4. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Data sovereignty: A review143
Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation130
Algorithmic management in a work context120
The COVID-19 Infodemic: Twitter versus Facebook113
Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech106
On the genealogy of machine learning datasets: A critical history of ImageNet103
The algorithm audit: Scoring the algorithms that score us93
Algorithmic reparation66
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature63
Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence62
The great Transformer: Examining the role of large language models in the political economy of AI61
Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-1947
Bot, or not? Comparing three methods for detecting social bots in five political discourses45
Dashboard stories: How narratives told by predictive analytics reconfigure roles, risk and sociality in education43
Between surveillance and recognition: Rethinking digital identity in aid42
Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic40
Visual media analysis for Instagram and other online platforms40
The Chilling Effects of Digital Dataveillance: A Theoretical Model and an Empirical Research Agenda37
Countering misinformation: A multidisciplinary approach37
Online Labour Index 2020: New ways to measure the world’s remote freelancing market36
Co-design and ethical artificial intelligence for health: An agenda for critical research and practice36
The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API35
How partners mediate platform power: Mapping business and data partnerships in the social media ecosystem33
Different types of COVID-19 misinformation have different emotional valence on Twitter31
Alternative data and sentiment analysis: Prospecting non-standard data in machine learning-driven finance30
Emotional artificial intelligence in children’s toys and devices: Ethics, governance and practical remedies30
Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibility30
Auto-essentialization: Gender in automated facial analysis as extended colonial project30
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service28
Studying the COVID-19 infodemic at scale28
Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation28
Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application27
Blockchain imperialism in the Pacific27
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts26
Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning26
“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting25
Design choices: Mechanism design and platform capitalism24
Precision medicine and digital phenotyping: Digital medicine's way from more data to better health24
Big data for climate action or climate action for big data?24
From FAIR data to fair data use: Methodological data fairness in health-related social media research23
Racial formations as data formations22
Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis21
“AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication21
Diversity in sociotechnical machine learning systems20
In search of the citizen in the datafication of public administration19
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic19
The uncontroversial ‘thingness’ of AI19
For a heterodox computational social science19
Knowledge co-creation in participatory policy and practice: Building community through data-driven direct democracy19
Toward a sociology of machine learning explainability: Human–machine interaction in deep neural network-based automated trading19
Discovering needs for digital capitalism: The hybrid profession of data science19
Machine learning in tutorials – Universal applicability, underinformed application, and other misconceptions19
Machine learning and the politics of synthetic data18
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research18
Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China17
Social impacts of algorithmic decision-making: A research agenda for the social sciences17
The value of mass-digitised cultural heritage content in creative contexts17
Big Tech platforms in health research: Re-purposing big data governance in light of the General Data Protection Regulation’s research exemption16
COVID-19, digital health technology and the politics of the unprecedented16
Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection16
‘It depends on your threat model’: the anticipatory dimensions of resistance to data-driven surveillance16
Epistemologies of predictive policing: Mathematical social science, social physics and machine learning15
Seeing like a driver: How workers repair, resist, and reinforce the platform's algorithmic visions15
The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control15
Web3 as ‘self-infrastructuring’: The challenge is how15
How platforms govern: Social regulation in digital capitalism15
The Thick Machine: Anthropological AI between explanation and explication15
Controversing the datafied smart city: Conceptualising a ‘making-controversial’ approach to civic engagement15
Public views of the smart city: Towards the construction of a social problem14
The problem with annotation. Human labour and outsourcing between France and Madagascar14
Mapping Persian Twitter: Networks and mechanism of political communication in Iranian 2017 presidential election14
European artificial intelligence policy as digital single market making14
In search of ‘extra data’: Making tissues flow from personal to personalised medicine14
Addressing ethical gaps in ‘Technology for Good’: Foregrounding care and capabilities14
Reading datasets: Strategies for interpreting the politics of data signification13
Data diaries: A situated approach to the study of data13
Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study13
AI Empire: Unraveling the interlocking systems of oppression in generative AI's global order13
The importance of algorithm skills for informed Internet use13
Predictive privacy: Collective data protection in the context of artificial intelligence and big data13
One size does not fit all: Constructing complementary digital reskilling strategies using online labour market data13
For what it's worth. Unearthing the values embedded in digital phenotyping for mental health13
Squeaky wheels: Missing data, disability, and power in the smart city12
Critical companionship: Some sensibilities for studying the lived experience of data subjects12
Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence12
Ground truth tracings (GTT): On the epistemic limits of machine learning12
Four investment areas for ethical AI: Transdisciplinary opportunities to close the publication-to-practice gap12
The role of sensors in the production of smart city spaces12
‘The interface of the future’: Mixed reality, intimate data and imagined temporalities11
A comparative analysis of data governance: Socio-technical imaginaries of digital personal data in the USA and EU (2008–2016)11
Data access and regime competition: A case study of car data sharing in China11
Politics of data reuse in machine learning systems: Theorizing reuse entanglements11
Towards a United Nations Internal Regulation for Artificial Intelligence11
Social data governance: Towards a definition and model10
Analysing discourse around COVID-19 in the Australian Twittersphere: A real-time corpus-based analysis10
Expansive and extractive networks of Web310
Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies10
Virtual state, where are you? A literature review, framework and agenda for failed digital transformation10
“More like a support tool”: Ambivalences around digital health from medical developers’ perspective10
Capitalizing on transparency: Commercial surveillance and pharmaceutical marketing after the Physician Sunshine Act10
Social media advertising for clinical studies: Ethical and data protection implications of online targeting10
The problem of researching a recursive society: Algorithms, data coils and the looping of the social10
Governing algorithmic decisions: The role of decision importance and governance on perceived legitimacy of algorithmic decisions10
Archival strategies for contemporary collecting in a world of big data: Challenges and opportunities with curating the UK web archive10
Performative innovation: Data governance in China's fintech industries9
Computational grounded theory revisited: From computer-led to computer-assisted text analysis9
Ghosts of white methods? The challenges of Big Data research in exploring racism in digital context9
Influence government: Exploring practices, ethics, and power in the use of targeted advertising by the UK state9
Dashboard design and the ‘datafied’ driving experience9
Social determinants of health in the Big Data mode of population health risk calculation9
Ethical scaling for content moderation: Extreme speech and the (in)significance of artificial intelligence9
Digital failure: Unbecoming the “good” data subject through entropic, fugitive, and queer data9
Racial formation, coloniality, and climate finance organizations: Implications for emergent data projects in the Pacific9
When the future meets the past: Can safety and cyber security coexist in modern critical infrastructures?9
Shall AI moderators be made visible? Perception of accountability and trust in moderation systems on social media platforms9
The case for tracking misinformation the way we track disease9
Neither opaque nor transparent: A transdisciplinary methodology to investigate datafication at the EU borders9
Towards a political economy of technical systems: The case of Google9
Google Search and the creation of ignorance: The case of the climate crisis9
Algorithmic precarity and metric power: Managing the affective measures and customers in the gig economy9
Utopia of abstraction: Digital organizations and the promise of sovereignty9
Ethnographic data in the age of big data: How to compare and combine9
(Tar)getting you: The use of online political targeted messages on Facebook8
The data archive as factory: Alienation and resistance of data processors8
Digital epidemiology, deep phenotyping and the enduring fantasy of pathological omniscience8
Structured like a language model: Analysing AI as an automated subject8
Algorithms as organizational figuration: The sociotechnical arrangements of a fintech start-up8
‘Blockchain for good’: Exploring the notion of social good inside the blockchain scene8
Smart campus communication, Internet of Things, and data governance: Understanding student tensions and imaginaries8
Digital phenotyping and the (data) shadow of Alzheimer's disease8
The revolution that did not happen: Telematics and car insurance in the 2010s8
The role of evidence-based misogyny in antifeminist online communities of the ‘manosphere’7
Algorithmic failure as a humanities methodology: Machine learning's mispredictions identify rich cases for qualitative analysis7
Formally comparing topic models and human-generated qualitative coding of physician mothers’ experiences of workplace discrimination7
‘Real-time’ air quality channels: A technology review of emerging environmental alert systems7
Extrapolation and AI transparency: Why machine learning models should reveal when they make decisions beyond their training7
A view from anthropology: Should anthropologists fear the data machines?7
Privacy at risk? Understanding the perceived privacy protection of health code apps in China7
The unbearable (technical) unreliability of automated facial emotion recognition7
The data will not save us: Afropessimism and racial antimatter in the COVID-19 pandemic7
The ontology explorer: A method to make visible data infrastructures for population management7
Not so fast! Data temporalities in law enforcement and border control7
Heritage-based tribalism in Big Data ecologies: Deploying origin myths for antagonistic othering7
Datafication and the practice of intelligence production7
Accounting for “the social” in contact tracing applications: The paradox between public health governance and mistrust of government's data use7
Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle7
AI ethics and data governance in the geospatial domain of Digital Earth7
In data we (don't) trust: The public adrift in data-driven public opinion models6
Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic6
Learning machine learning: On the political economy of big tech's online AI courses6
Emotional labour in the collaborative data practices of repurposing healthcare data and building data technologies6
Google, data voids, and the dynamics of the politics of exclusion6
Algorithmic empowerment: A comparative ethnography of two open-source algorithmic platforms – Decide Madrid and vTaiwan6
Low on trust, high on use: Datafied media, trust and everyday life6
Organic online politics: Farmers, Facebook, and Myanmar's military coup6
A practical role-based approach for autonomous vehicle moral dilemmas6
World Heritage sites on Wikipedia: Cultural heritage activism in a context of constrained agency6
Digital phenotyping and data inheritance6
Against carceral data collection in response to anti-Asian violences6
Productive myopia: Racialized organizations and edtech6
Algorithmic probing: Prompting offensive Google results and their moderation6
Computational ethnography: A view from sociology6
Knowing when to act: A call for an open misinformation library to guide actionable surveillance6
Feeling fixes: Mess and emotion in algorithmic audits6
The world wide web of carbon: Toward a relational footprinting of information and communications technology's climate impacts6
Advancing search engine studies: The evolution of Google critique and intervention6
“Too Soon” to count? How gender and race cloud notability considerations on Wikipedia6
States of computing: On government organization and artificial intelligence in Canada6
The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies6
The ethical dimensions of Google autocomplete5
Taking a critical look at the critical turn in data science: From “data feminism” to transnational feminist data science5
Linguistic justice as a framework for designing, developing, and managing natural language processing tools5
Ideological variation in preferred content and source credibility on Reddit during the COVID-19 pandemic5
“The revolution will not be supervised”: Consent and open secrets in data science5
The material consequences of “chipification”: The case of software-embedded cars5
Digital identity as platform-mediated surveillance5
Machine Anthropology: A View from International Relations5
Of dog kennels, magnets, and hard drives: Dealing with Big Data peripheries5
Developing data capability with non-profit organisations using participatory methods5
Investigating hybridity in artificial intelligence research5
‘What about the dads?’ Linking fathers and children in administrative data: A systematic scoping review5
The Concentration-after-Personalisation Index (CAPI): Governing effects of personalisation using the example of targeted online advertising5
Taking stock of COVID-19 health status certificates: Legal implications for data privacy and human rights5
Sharing precision medicine data with private industry: Outcomes of a citizens’ jury in Singapore5
All WARC and no playback: The materialities of data-centered web archives research5
Digital contact tracing in the pandemic cities: Problematizing the regime of traceability in South Korea5
Political affiliation moderates subjective interpretations of COVID-19 graphs5
Freezing out: Legacy media's shaping of AI as a cold controversy5
Public sector information in the European Union policy: The misbalance between economy and individuals5
Algorithmic constructions of risk: Anticipating uncertain futures in child protection services5
Justice, injustice, and artificial intelligence: Lessons from political theory and philosophy5
Why Personal Dreams Matter: How professionals affectively engage with the promises surrounding data-driven healthcare in Europe5
Materialities of digital disease control in Taiwan during COVID-194
Short-circuiting biology: Digital phenotypes, digital biomarkers, and shifting gazes in psychiatry4
Understanding ‘passivity’ in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps4
Artificial intelligence and skills in the workplace: An integrative research agenda4
Data arenas: The relational dynamics of data activism4
Stepping back from Data and AI for Good – current trends and ways forward4
Ecological ethics and the smart circular economy4
A typology of artificial intelligence data work4
Inequalities in privacy cynicism: An intersectional analysis of agency constraints4
‘I started seeing shadows everywhere’: The diverse chilling effects of surveillance in Zimbabwe4
The effectiveness of embedded values analysis modules in Computer Science education: An empirical study4
Choreographing for public value in digital health?4
Prediction as extraction of discretion4
Modeling COVID-19 with big mobility data: Surveillance and reaffirming the people in the data4
Algorithmic accountability in U.S. cities: Transparency, impact, and political economy4
Heritage transformations4
Communicative strategies for building public confidence in data governance: Analyzing Singapore's COVID-19 contact-tracing initiatives4
Big data and Belmont: On the ethics and research implications of consumer-based datasets4
When research is the context: Cross-platform user expectations for social media data reuse4
Leveraging blockchain for energy transition in urban contexts4
Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP4
Organizing an “organizationless” protest campaign in the WeChatsphere4
0.038859128952026