| # | Title | Journal | Year | Citations |
|---|
| 1 | Big Data, new epistemologies and paradigm shifts | Big Data and Society | 2014 | 1,240 |
| 2 | How the machine ‘thinks’: Understanding opacity in machine learning algorithms | Big Data and Society | 2016 | 1,074 |
| 3 | The ethics of algorithms: Mapping the debate | Big Data and Society | 2016 | 983 |
| 4 | Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management | Big Data and Society | 2018 | 450 |
| 5 | Algorithms as culture: Some tactics for the ethnography of algorithmic systems | Big Data and Society | 2017 | 447 |
| 6 | Surveillance, Snowden, and Big Data: Capacities, consequences, critique | Big Data and Society | 2014 | 399 |
| 7 | When data is capital: Datafication, accumulation, and extraction | Big Data and Society | 2019 | 396 |
| 8 | What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets | Big Data and Society | 2016 | 320 |
| 9 | What is data justice? The case for connecting digital rights and freedoms globally | Big Data and Society | 2017 | 299 |
| 10 | Algorithmic content moderation: Technical and political challenges in the automation of platform governance | Big Data and Society | 2020 | 271 |
| 11 | Where are human subjects in Big Data research? The emerging ethics divide | Big Data and Society | 2016 | 253 |
| 12 | Big Data in food and agriculture | Big Data and Society | 2016 | 233 |
| 13 | Algorithms and their others: Algorithmic culture in context | Big Data and Society | 2016 | 228 |
| 14 | Critical data studies: An introduction | Big Data and Society | 2016 | 225 |
| 15 | Big Data ethics | Big Data and Society | 2014 | 212 |
| 16 | Challenges in administrative data linkage for research | Big Data and Society | 2017 | 202 |
| 17 | What difference does quantity make? On the epistemology of Big Data in biology | Big Data and Society | 2014 | 168 |
| 18 | Algorithms in practice: Comparing web journalism and criminal justice | Big Data and Society | 2017 | 168 |
| 19 | After the crisis? Big Data and the methodological challenges of empirical sociology | Big Data and Society | 2014 | 164 |
| 20 | Datafication and empowerment: How the open data movement re-articulates notions of democracy, participation, and journalism | Big Data and Society | 2015 | 162 |
| 21 | Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data | Big Data and Society | 2017 | 156 |
| 22 | Mundane data: The routines, contingencies and accomplishments of digital living | Big Data and Society | 2017 | 150 |
| 23 | Towards data justice? The ambiguity of anti-surveillance resistance in political activism | Big Data and Society | 2016 | 149 |
| 24 | Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns | Big Data and Society | 2019 | 142 |
| 25 | Algorithmic governance: Developing a research agenda through the power of collective intelligence | Big Data and Society | 2017 | 137 |
| 26 | Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter | Big Data and Society | 2020 | 131 |
| 27 | Critical Data Studies: A dialog on data and space | Big Data and Society | 2016 | 129 |
| 28 | Content moderation, AI, and the question of scale | Big Data and Society | 2020 | 129 |
| 29 | Data infrastructure literacy | Big Data and Society | 2018 | 127 |
| 30 | Data politics | Big Data and Society | 2017 | 125 |
| 31 | How do data come to matter? Living and becoming with personal data | Big Data and Society | 2018 | 120 |
| 32 | Data sovereignty: A review | Big Data and Society | 2021 | 117 |
| 33 | Big Data from the bottom up | Big Data and Society | 2014 | 114 |
| 34 | Isomorphism through algorithms: Institutional dependencies in the case of Facebook | Big Data and Society | 2018 | 113 |
| 35 | Just good enough data: Figuring data citizenships through air pollution sensing and data stories | Big Data and Society | 2016 | 109 |
| 36 | Data flows and water woes: The Utah Data Center | Big Data and Society | 2015 | 108 |
| 37 | The COVID-19 Infodemic: Twitter versus Facebook | Big Data and Society | 2021 | 105 |
| 38 | Adapting computational text analysis to social science (and vice versa) | Big Data and Society | 2015 | 103 |
| 39 | Broken data: Conceptualising data in an emerging world | Big Data and Society | 2018 | 103 |
| 40 | Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation | Big Data and Society | 2021 | 103 |
| 41 | The emerging role of Big Data in key development issues: Opportunities, challenges, and concerns | Big Data and Society | 2014 | 100 |
| 42 | The combine will tell the truth: On precision agriculture and algorithmic rationality | Big Data and Society | 2019 | 100 |
| 43 | When digital health meets digital capitalism, how many common goods are at stake? | Big Data and Society | 2018 | 98 |
| 44 | Datafication and data fiction: Narrating data and narrating with data | Big Data and Society | 2018 | 96 |
| 45 | Emerging models of data governance in the age of datafication | Big Data and Society | 2020 | 95 |
| 46 | Social media and the social sciences: How researchers employ Big Data analytics | Big Data and Society | 2016 | 92 |
| 47 | Data cultures of mobile dating and hook-up apps: Emerging issues for critical social science research | Big Data and Society | 2017 | 92 |
| 48 | AI ethics should not remain toothless! A call to bring back the teeth of ethics | Big Data and Society | 2020 | 91 |
| 49 | Big Data and the brave new world of social media research | Big Data and Society | 2014 | 89 |
| 50 | Data and agency | Big Data and Society | 2015 | 89 |
