OOIR: Observatory of International Research

Papers

(The TQCC of Big Data & Society is 12. 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 2020-07-01 to 2024-07-01.)

Article	Citations
Content moderation, AI, and the question of scale	157
Data sovereignty: A review	129
Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter	127
Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation	117
The COVID-19 Infodemic: Twitter versus Facebook	107
AI ethics should not remain toothless! A call to bring back the teeth of ethics	105
Emerging models of data governance in the age of datafication	104
Algorithmic management in a work context	103
On the genealogy of machine learning datasets: A critical history of ImageNet	91
The algorithm audit: Scoring the algorithms that score us	90
Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech	89
Designing for human rights in AI	77
Innovation under pressure: Implications for data privacy during the Covid-19 pandemic	64
COVID-19 is spatial: Ensuring that mobile Big Data is used for social good	56
Algorithmic reparation	56
The birth of sensory power: How a pandemic made it visible?	51
Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence	51
Covid-19 and the accelerating smart home	49
The great Transformer: Examining the role of large language models in the political economy of AI	48
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature	48
Techno-solutionism and the standard human in the making of the COVID-19 pandemic	47
Black boxes, not green: Mythologizing artificial intelligence and omitting the environment	47
From pool to profile: Social consequences of algorithmic prediction in insurance	45
Making data science systems work	45
Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-19	44

Bot, or not? Comparing three methods for detecting social bots in five political discourses	40
Between surveillance and recognition: Rethinking digital identity in aid	40
Cambridge Analytica’s black box	40
Dashboard stories: How narratives told by predictive analytics reconfigure roles, risk and sociality in education	38
Visual media analysis for Instagram and other online platforms	37
Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic	35
The Chilling Effects of Digital Dataveillance: A Theoretical Model and an Empirical Research Agenda	34
A qualitative analysis of sarcasm, irony and related #hashtags on Twitter	33
The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API	32
Online Labour Index 2020: New ways to measure the world’s remote freelancing market	32
“Smittestopp”: If you want your freedom back, download now	31
Countering misinformation: A multidisciplinary approach	31
Co-design and ethical artificial intelligence for health: An agenda for critical research and practice	30
Learning from lines: Critical COVID data visualizations and the quarantine quotidian	30
The “black box” at work	29
The price of certainty: How the politics of pandemic data demand an ethics of care	29
How partners mediate platform power: Mapping business and data partnerships in the social media ecosystem	29
Auto-essentialization: Gender in automated facial analysis as extended colonial project	29
Different types of COVID-19 misinformation have different emotional valence on Twitter	28
Alternative data and sentiment analysis: Prospecting non-standard data in machine learning-driven finance	27
Studying the COVID-19 infodemic at scale	27
Mass personalization: Predictive marketing algorithms and the reshaping of consumer knowledge	26
Blockchain imperialism in the Pacific	26
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts	25
A post-truth pandemic?	24
Dislocated accountabilities in the “AI supply chain”: Modularity and developers’ notions of responsibility	24
Assessing biases, relaxing moralism: On ground-truthing practices in machine learning design and application	24
Editorial: The personalisation of insurance: Data, behaviour and innovation	23
Big data for climate action or climate action for big data?	23
Design choices: Mechanism design and platform capitalism	23
“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting	23
Emotional artificial intelligence in children’s toys and devices: Ethics, governance and practical remedies	22
Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service	22
From FAIR data to fair data use: Methodological data fairness in health-related social media research	22
Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation	21
Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis	21
Racial formations as data formations	21
Identifying and characterizing scientific authority-related misinformation discourse about hydroxychloroquine on twitter using unsupervised machine learning	20
Good organizational reasons for better medical records: The data work of clinical documentation integrity specialists	20
Precision medicine and digital phenotyping: Digital medicine's way from more data to better health	20
Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic	20
“AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication	20
Contesting algorithms: Restoring the public interest in content filtering by artificial intelligence	20
Discovering needs for digital capitalism: The hybrid profession of data science	19
Revisiting the Black Box Society by rethinking the political economy of big data	19
The value of sharing: Branding and behaviour in a life and health insurance company	18
Machine learning in tutorials – Universal applicability, underinformed application, and other misconceptions	18
Diversity in sociotechnical machine learning systems	18
Knowledge co-creation in participatory policy and practice: Building community through data-driven direct democracy	18
Caution: Rumors ahead—A case study on the debunking of false information on Twitter	18

Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research	18
For a heterodox computational social science	17
In search of the citizen in the datafication of public administration	17
Contested technology: Social scientific perspectives of behaviour-based insurance	16
Seven intersectional feminist principles for equitable and actionable COVID-19 data	16
‘It depends on your threat model’: the anticipatory dimensions of resistance to data-driven surveillance	16
Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection	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
Web3 as ‘self-infrastructuring’: The challenge is how	15
The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control	15
COVID-19, digital health technology and the politics of the unprecedented	15
The politics of algorithmic governance in the black box city	14
Machine learning and the politics of synthetic data	14
In search of ‘extra data’: Making tissues flow from personal to personalised medicine	14
Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China	14
Big Tech platforms in health research: Re-purposing big data governance in light of the General Data Protection Regulation’s research exemption	14
Disruption and dislocation in post-COVID futures for digital health	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
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
For a situational analytics: An interpretative methodology for the study of situations in computational settings	13
Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study	13
The value of mass-digitised cultural heritage content in creative contexts	13
Mapping Persian Twitter: Networks and mechanism of political communication in Iranian 2017 presidential election	13
Social impacts of algorithmic decision-making: A research agenda for the social sciences	12
COVID-19: What does it mean for digital social protection?	12
The uncontroversial ‘thingness’ of AI	12
“No disease for the others”: How COVID-19 data can enact new and old alterities	12
Data diaries: A situated approach to the study of data	12
Viral Data	12
Intentionality and design in the data sonification of social issues	12
Big Data: From modern fears to enlightened and vigilant embrace of new beginnings	12