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 2020-04-01 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
The great Transformer: Examining the role of large language models in the political economy of AI34
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature34
Cambridge Analytica’s black box34
Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic33
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
Visual media analysis for Instagram and other online platforms32
A qualitative analysis of sarcasm, irony and related #hashtags on Twitter31
“Smittestopp”: If you want your freedom back, download now30
Countering misinformation: A multidisciplinary approach30
Learning from lines: Critical COVID data visualizations and the quarantine quotidian28
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
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
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
A post-truth pandemic?23
Big data for climate action or climate action for big data?23
Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application22
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
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
Editorial: The personalisation of insurance: Data, behaviour and innovation20
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic20
Design choices: Mechanism design and platform capitalism20
Precision medicine and digital phenotyping: Digital medicine's way from more data to better health19
Racial formations as data formations19
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
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service18
“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
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
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
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
Web3 as ‘self-infrastructuring’: The challenge is how15
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
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
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
“AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication13
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
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
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
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
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
Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibility10
Mapping Persian Twitter: Networks and mechanism of political communication in Iranian 2017 presidential election10
Social data governance: Towards a definition and model10
Towards a United Nations Internal Regulation for Artificial Intelligence10
Big Data: From modern fears to enlightened and vigilant embrace of new beginnings10
Data-bodies and data activism: Presencing women in digital heritage research9
Public views of the smart city: Towards the construction of a social problem9
Squeaky wheels: Missing data, disability, and power in the smart city9
The role of sensors in the production of smart city spaces9
Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation9
A comparative analysis of data governance: Socio-technical imaginaries of digital personal data in the USA and EU (2008–2016)9
“More like a support tool”: Ambivalences around digital health from medical developers’ perspective9
Social determinants of health in the Big Data mode of population health risk calculation9
Reading datasets: Strategies for interpreting the politics of data signification9
Four investment areas for ethical AI: Transdisciplinary opportunities to close the publication-to-practice gap9
The problem of researching a recursive society: Algorithms, data coils and the looping of the social8
Data/infrastructure in the smart city: Understanding the infrastructural power of Citymapper app through technicity of data8
Critical companionship: Some sensibilities for studying the lived experience of data subjects8
Machine learning and the politics of synthetic data8
Ground truth tracings (GTT): On the epistemic limits of machine learning8
Towards a political economy of technical systems: The case of Google8
‘The interface of the future’: Mixed reality, intimate data and imagined temporalities8
Digital epidemiology, deep phenotyping and the enduring fantasy of pathological omniscience8
Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies8
The ontology explorer: A method to make visible data infrastructures for population management7
Utopia of abstraction: Digital organizations and the promise of sovereignty7
Data access and regime competition: A case study of car data sharing in China7
The case for tracking misinformation the way we track disease7
Disrupting the library: Digital scholarship and Big Data at the National Library of Scotland7
Digital failure: Unbecoming the “good” data subject through entropic, fugitive, and queer data7
Social impacts of algorithmic decision-making: A research agenda for the social sciences7
Analysing discourse around COVID-19 in the Australian Twittersphere: A real-time corpus-based analysis7
Ethnographic data in the age of big data: How to compare and combine7
Performative innovation: Data governance in China's fintech industries7
European artificial intelligence policy as digital single market making7
Racial formation, coloniality, and climate finance organizations: Implications for emergent data projects in the Pacific7
A view from anthropology: Should anthropologists fear the data machines?7
Politics of data reuse in machine learning systems: Theorizing reuse entanglements7
Capitalizing on transparency: Commercial surveillance and pharmaceutical marketing after the Physician Sunshine Act7
The sale of heritage on eBay: Market trends and cultural value7
Computational grounded theory revisited: From computer-led to computer-assisted text analysis7
Archival strategies for contemporary collecting in a world of big data: Challenges and opportunities with curating the UK web archive6
Google Search and the creation of ignorance: The case of the climate crisis6
Feeling fixes: Mess and emotion in algorithmic audits6
The importance of algorithm skills for informed Internet use6
Seeing like a driver: How workers repair, resist, and reinforce the platform's algorithmic visions6
Accounting for “the social” in contact tracing applications: The paradox between public health governance and mistrust of government's data use6
Addressing ethical gaps in ‘Technology for Good’: Foregrounding care and capabilities6
When the future meets the past: Can safety and cyber security coexist in modern critical infrastructures?6
Ghosts of white methods? The challenges of Big Data research in exploring racism in digital context6
Epistemic clashes in network science: Mapping the tensions between idiographic and nomothetic subcultures6
A proxy for privacy uncovering the surveillance ecology of mobile apps6
Expansive and extractive networks of Web36
The data archive as factory: Alienation and resistance of data processors6
Influence government: Exploring practices, ethics, and power in the use of targeted advertising by the UK state6
Knowing when to act: A call for an open misinformation library to guide actionable surveillance6
Privacy at risk? Understanding the perceived privacy protection of health code apps in China6
Digital phenotyping and the (data) shadow of Alzheimer's disease6
Algorithmic failure as a humanities methodology: Machine learning's mispredictions identify rich cases for qualitative analysis6
Extrapolation and AI transparency: Why machine learning models should reveal when they make decisions beyond their training5
Why Personal Dreams Matter: How professionals affectively engage with the promises surrounding data-driven healthcare in Europe5
A practical role-based approach for autonomous vehicle moral dilemmas5
The world wide web of carbon: Toward a relational footprinting of information and communications technology's climate impacts5
Neither opaque nor transparent: A transdisciplinary methodology to investigate datafication at the EU borders5
How platforms govern: Social regulation in digital capitalism5
‘Real-time’ air quality channels: A technology review of emerging environmental alert systems5
Smart campus communication, Internet of Things, and data governance: Understanding student tensions and imaginaries5
AI ethics and data governance in the geospatial domain of Digital Earth5
Governing algorithmic decisions: The role of decision importance and governance on perceived legitimacy of algorithmic decisions5
Shall AI moderators be made visible? Perception of accountability and trust in moderation systems on social media platforms5
Emotional labour in the collaborative data practices of repurposing healthcare data and building data technologies5
Taking a critical look at the critical turn in data science: From “data feminism” to transnational feminist data science5
The data will not save us: Afropessimism and racial antimatter in the COVID-19 pandemic5
Digital phenotyping and data inheritance5
Public sector information in the European Union policy: The misbalance between economy and individuals5
Heritage-based tribalism in Big Data ecologies: Deploying origin myths for antagonistic othering5
Google, data voids, and the dynamics of the politics of exclusion5
Ethical scaling for content moderation: Extreme speech and the (in)significance of artificial intelligence5
The unbearable (technical) unreliability of automated facial emotion recognition5
Algorithmic precarity and metric power: Managing the affective measures and customers in the gig economy4
Virtual state, where are you? A literature review, framework and agenda for failed digital transformation4
Advancing search engine studies: The evolution of Google critique and intervention4
Dashboard design and the ‘datafied’ driving experience4
Digital contact tracing in the pandemic cities: Problematizing the regime of traceability in South Korea4
“Too Soon” to count? How gender and race cloud notability considerations on Wikipedia4
Formally comparing topic models and human-generated qualitative coding of physician mothers’ experiences of workplace discrimination4
Algorithmic probing: Prompting offensive Google results and their moderation4
All WARC and no playback: The materialities of data-centered web archives research4
Developing data capability with non-profit organisations using participatory methods4
“The revolution will not be supervised”: Consent and open secrets in data science4
The role of evidence-based misogyny in antifeminist online communities of the ‘manosphere’4
Understanding ‘passivity’ in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps4
Of dog kennels, magnets, and hard drives: Dealing with Big Data peripheries4
The effectiveness of embedded values analysis modules in Computer Science education: An empirical study4
Algorithmic empowerment: A comparative ethnography of two open-source algorithmic platforms – Decide Madrid and vTaiwan4
Justice, injustice, and artificial intelligence: Lessons from political theory and philosophy4
Datafication and the practice of intelligence production4
The problem with annotation. Human labour and outsourcing between France and Madagascar4
The ethical dimensions of Google autocomplete4
Organic online politics: Farmers, Facebook, and Myanmar's military coup4
Materialities of digital disease control in Taiwan during COVID-194
Learning machine learning: On the political economy of big tech's online AI courses4
Big data and Belmont: On the ethics and research implications of consumer-based datasets4
Algorithms as organizational figuration: The sociotechnical arrangements of a fintech start-up4
Productive myopia: Racialized organizations and edtech4
The revolution that did not happen: Telematics and car insurance in the 2010s4
The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies4
Computational ethnography: A view from sociology4
Organizing an “organizationless” protest campaign in the WeChatsphere4
0.093542098999023