OOIR: Observatory of International Research

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.)

Article	Citations
Content moderation, AI, and the question of scale	125
Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter	120
Data sovereignty: A review	116
Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation	102
The COVID-19 Infodemic: Twitter versus Facebook	99
Emerging models of data governance in the age of datafication	96
AI ethics should not remain toothless! A call to bring back the teeth of ethics	95
Algorithmic management in a work context	84
The algorithm audit: Scoring the algorithms that score us	77
Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech	76
On the genealogy of machine learning datasets: A critical history of ImageNet	67
Designing for human rights in AI	67
Innovation under pressure: Implications for data privacy during the Covid-19 pandemic	60
COVID-19 is spatial: Ensuring that mobile Big Data is used for social good	55
Covid-19 and the accelerating smart home	49
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 pandemic	44
Algorithmic reparation	44
From pool to profile: Social consequences of algorithmic prediction in insurance	43
Black boxes, not green: Mythologizing artificial intelligence and omitting the environment	40
Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-19	39
Between surveillance and recognition: Rethinking digital identity in aid	38
Bot, or not? Comparing three methods for detecting social bots in five political discourses	37
Making data science systems work	36
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature	34

Cambridge Analytica’s black box	34
The great Transformer: Examining the role of large language models in the political economy of AI	34
Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence	33
Dashboard stories: How narratives told by predictive analytics reconfigure roles, risk and sociality in education	33
Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic	33
Visual media analysis for Instagram and other online platforms	32
A qualitative analysis of sarcasm, irony and related #hashtags on Twitter	31
Countering misinformation: A multidisciplinary approach	30
“Smittestopp”: If you want your freedom back, download now	30
The Chilling Effects of Digital Dataveillance: A Theoretical Model and an Empirical Research Agenda	28
The price of certainty: How the politics of pandemic data demand an ethics of care	28
Online Labour Index 2020: New ways to measure the world’s remote freelancing market	28
The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API	28
Learning from lines: Critical COVID data visualizations and the quarantine quotidian	28
The “black box” at work	27
How partners mediate platform power: Mapping business and data partnerships in the social media ecosystem	27
Studying the COVID-19 infodemic at scale	26
Co-design and ethical artificial intelligence for health: An agenda for critical research and practice	25
Blockchain imperialism in the Pacific	24
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 finance	23
Different types of COVID-19 misinformation have different emotional valence on Twitter	23
From FAIR data to fair data use: Methodological data fairness in health-related social media research	22
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts	22
Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application	22
Mass personalization: Predictive marketing algorithms and the reshaping of consumer knowledge	21
Emotional artificial intelligence in children’s toys and devices: Ethics, governance and practical remedies	21
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic	20
Design choices: Mechanism design and platform capitalism	20
Editorial: The personalisation of insurance: Data, behaviour and innovation	20
Auto-essentialization: Gender in automated facial analysis as extended colonial project	19
Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning	19
Precision medicine and digital phenotyping: Digital medicine's way from more data to better health	19
Racial formations as data formations	19
“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting	18
Good organizational reasons for better medical records: The data work of clinical documentation integrity specialists	18
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service	18
For a heterodox computational social science	17
Machine learning in tutorials – Universal applicability, underinformed application, and other misconceptions	17
Contesting algorithms: Restoring the public interest in content filtering by artificial intelligence	17
Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research	17
Caution: Rumors ahead—A case study on the debunking of false information on Twitter	17
Knowledge co-creation in participatory policy and practice: Building community through data-driven direct democracy	17
Discovering needs for digital capitalism: The hybrid profession of data science	16
The value of sharing: Branding and behaviour in a life and health insurance company	16
Revisiting the Black Box Society by rethinking the political economy of big data	16
Seven intersectional feminist principles for equitable and actionable COVID-19 data	15
‘It depends on your threat model’: the anticipatory dimensions of resistance to data-driven surveillance	15
Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis	15

Web3 as ‘self-infrastructuring’: The challenge is how	15
The politics of algorithmic governance in the black box city	14
In search of the citizen in the datafication of public administration	14
Contested technology: Social scientific perspectives of behaviour-based insurance	14
COVID-19, digital health technology and the politics of the unprecedented	14
Toward a sociology of machine learning explainability: Human–machine interaction in deep neural network-based automated trading	14
The Thick Machine: Anthropological AI between explanation and explication	14
Diversity in sociotechnical machine learning systems	14
Big Tech platforms in health research: Re-purposing big data governance in light of the General Data Protection Regulation’s research exemption	13
For what it's worth. Unearthing the values embedded in digital phenotyping for mental health	13
Epistemologies of predictive policing: Mathematical social science, social physics and machine learning	13
Disruption and dislocation in post-COVID futures for digital health	13
“AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication	13
COVID-19: What does it mean for digital social protection?	12
Viral Data	12
“No disease for the others”: How COVID-19 data can enact new and old alterities	12
The value of mass-digitised cultural heritage content in creative contexts	12
The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control	12
Controversing the datafied smart city: Conceptualising a ‘making-controversial’ approach to civic engagement	12
Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection	11
Data diaries: A situated approach to the study of data	11
Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study	11
Intentionality and design in the data sonification of social issues	11
For a situational analytics: An interpretative methodology for the study of situations in computational settings	11
Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China	11
One size does not fit all: Constructing complementary digital reskilling strategies using online labour market data	11
In search of ‘extra data’: Making tissues flow from personal to personalised medicine	11