OOIR: Observatory of International Research

Papers

(The TQCC of Big Data & Society is 10. 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.)

Article	Citations
Data sovereignty: A review	143
Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation	130
Algorithmic management in a work context	120
The COVID-19 Infodemic: Twitter versus Facebook	113
Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech	106
On the genealogy of machine learning datasets: A critical history of ImageNet	103
The algorithm audit: Scoring the algorithms that score us	93
Algorithmic reparation	66
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature	63
Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence	62
The great Transformer: Examining the role of large language models in the political economy of AI	61
Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-19	47
Bot, or not? Comparing three methods for detecting social bots in five political discourses	45
Dashboard stories: How narratives told by predictive analytics reconfigure roles, risk and sociality in education	43
Between surveillance and recognition: Rethinking digital identity in aid	42
Visual media analysis for Instagram and other online platforms	40
Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic	40
Countering misinformation: A multidisciplinary approach	37
The Chilling Effects of Digital Dataveillance: A Theoretical Model and an Empirical Research Agenda	37
Online Labour Index 2020: New ways to measure the world’s remote freelancing market	36
Co-design and ethical artificial intelligence for health: An agenda for critical research and practice	36
The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API	35
How partners mediate platform power: Mapping business and data partnerships in the social media ecosystem	33
Different types of COVID-19 misinformation have different emotional valence on Twitter	31
Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibility	30

Auto-essentialization: Gender in automated facial analysis as extended colonial project	30
Alternative data and sentiment analysis: Prospecting non-standard data in machine learning-driven finance	30
Emotional artificial intelligence in children’s toys and devices: Ethics, governance and practical remedies	30
Studying the COVID-19 infodemic at scale	28
Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation	28
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service	28
Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application	27
Blockchain imperialism in the Pacific	27
Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning	26
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts	26
“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting	25
Precision medicine and digital phenotyping: Digital medicine's way from more data to better health	24
Big data for climate action or climate action for big data?	24
Design choices: Mechanism design and platform capitalism	24
From FAIR data to fair data use: Methodological data fairness in health-related social media research	23
Racial formations as data formations	22
Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis	21
“AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication	21
Diversity in sociotechnical machine learning systems	20
For a heterodox computational social science	19
Knowledge co-creation in participatory policy and practice: Building community through data-driven direct democracy	19
Toward a sociology of machine learning explainability: Human–machine interaction in deep neural network-based automated trading	19
Discovering needs for digital capitalism: The hybrid profession of data science	19
Machine learning in tutorials – Universal applicability, underinformed application, and other misconceptions	19
In search of the citizen in the datafication of public administration	19
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic	19
The uncontroversial ‘thingness’ of AI	19
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research	18
Machine learning and the politics of synthetic data	18
Social impacts of algorithmic decision-making: A research agenda for the social sciences	17
The value of mass-digitised cultural heritage content in creative contexts	17
Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China	17
COVID-19, digital health technology and the politics of the unprecedented	16
Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection	16
‘It depends on your threat model’: the anticipatory dimensions of resistance to data-driven surveillance	16
Big Tech platforms in health research: Re-purposing big data governance in light of the General Data Protection Regulation’s research exemption	16
The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control	15
Web3 as ‘self-infrastructuring’: The challenge is how	15
How platforms govern: Social regulation in digital capitalism	15
The Thick Machine: Anthropological AI between explanation and explication	15
Controversing the datafied smart city: Conceptualising a ‘making-controversial’ approach to civic engagement	15
Epistemologies of predictive policing: Mathematical social science, social physics and machine learning	15
Seeing like a driver: How workers repair, resist, and reinforce the platform's algorithmic visions	15
European artificial intelligence policy as digital single market making	14
In search of ‘extra data’: Making tissues flow from personal to personalised medicine	14
Addressing ethical gaps in ‘Technology for Good’: Foregrounding care and capabilities	14
Public views of the smart city: Towards the construction of a social problem	14
The problem with annotation. Human labour and outsourcing between France and Madagascar	14
Mapping Persian Twitter: Networks and mechanism of political communication in Iranian 2017 presidential election	14
AI Empire: Unraveling the interlocking systems of oppression in generative AI's global order	13

The importance of algorithm skills for informed Internet use	13
Predictive privacy: Collective data protection in the context of artificial intelligence and big data	13
One size does not fit all: Constructing complementary digital reskilling strategies using online labour market data	13
For what it's worth. Unearthing the values embedded in digital phenotyping for mental health	13
Reading datasets: Strategies for interpreting the politics of data signification	13
Data diaries: A situated approach to the study of data	13
Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study	13
Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence	12
Ground truth tracings (GTT): On the epistemic limits of machine learning	12
Four investment areas for ethical AI: Transdisciplinary opportunities to close the publication-to-practice gap	12
The role of sensors in the production of smart city spaces	12
Squeaky wheels: Missing data, disability, and power in the smart city	12
Critical companionship: Some sensibilities for studying the lived experience of data subjects	12
Politics of data reuse in machine learning systems: Theorizing reuse entanglements	11
Towards a United Nations Internal Regulation for Artificial Intelligence	11
‘The interface of the future’: Mixed reality, intimate data and imagined temporalities	11
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 China	11
Social media advertising for clinical studies: Ethical and data protection implications of online targeting	10
The problem of researching a recursive society: Algorithms, data coils and the looping of the social	10
Governing algorithmic decisions: The role of decision importance and governance on perceived legitimacy of algorithmic decisions	10
Archival strategies for contemporary collecting in a world of big data: Challenges and opportunities with curating the UK web archive	10
Social data governance: Towards a definition and model	10
Analysing discourse around COVID-19 in the Australian Twittersphere: A real-time corpus-based analysis	10
Expansive and extractive networks of Web3	10
Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies	10
Virtual state, where are you? A literature review, framework and agenda for failed digital transformation	10
“More like a support tool”: Ambivalences around digital health from medical developers’ perspective	10
Capitalizing on transparency: Commercial surveillance and pharmaceutical marketing after the Physician Sunshine Act	10