Category: big data

Book Review: Uncertain Archives: Critical Keywords for Big Data edited by Nanna Bonde Thylstrup, Daniela Agostinho, Annie Ring, Catherine D’Ignazio and Kristin Veel

In Uncertain Archives: Critical Keywords for Big Data, editors Nanna Bonde Thylstrup, Daniela Agostinho, Annie Ring, Catherine D’Ignazio and Kristin Veel bring together scholars to think about various key terms associated with big data. This is a valua…

Who benefits from data for good?

The central proposition of ‘data for good’ is that corporations should publicly share data sets derived from their business activities across various areas of the economy to improve and guide policymaking. Based on their study of contributors to the Bi…

2019 In Review: Research Tools & Tech

Digital technologies continue to reshape and reimagine core research practices, from transcribing interviews, to creating entire texts autonomously. This list brings together some of the top posts on research technologies that have featured on the LSE Impact Blog in 2019. Disrupting transcription – How automation is transforming a foundational research method The transcription of verbal and non-verbal social interactions is […]

Book Review: The Costs of Connection: How Data is Colonizing Human Life and Appropriating It for Capitalism by Nick Couldry and Ulises A. Mejias

In The Costs of Connection: How Data is Colonizing Human Life and Appropriating It for Capitalism, Nick Couldry and Ulises A. Mejias argue that the quantified world is not a new frontier, but rather the continuation and expansion of both colonialism and capitalism. This book shines in using the theory underpinning the idea of data colonialism to articulate sites of resistance, writes […]

As schools become suffused with ed-tech, is the only response to constant surveillance the right to remain silent?

The growing prevalence of ed-tech in schools has prompted concerns over the ability of students (and parents) to develop informed decisions towards how, why, when and who uses school data. As technologies increasingly make record of students’ every word and move, Velislava Hillman asks whether the constant monitoring, micromanagement and data collection of students can guarantee a safe environment for […]

Big Qual – Why we should be thinking big about qualitative data for research, teaching and policy

When social scientists think about big data, they often think in terms of quantitative number crunching. However, the growing availability of ‘big’ qualitative datasets presents new opportunities for qualitative research. In this post, Lynn Jamieson and Sarah Lewthwaite explore how ‘big qual’ can be deployed as a distinct research methodology to develop new forms of qualitative research and elucidate complex interactions […]

Our Profile(d) Selves: How social media platforms use data to tell us who we should be

Social media platforms have become an everyday feature of modern life. One feature common to these platforms is the creation of a user profile. These profiles are vital for social media companies to make money from data analytics and targeted advertising. In this post, Lukasz Szulc explores how social media platforms translate this data-driven business model into the design and […]

What does Facebook’s #tenyearchallenge tell us about public awareness of data and algorithms?

Helen Kennedy reflects on the recent #tenyearchallenge trend. Looking at responses to the challenge, she considers what they tell us about the public understanding of data and the companies that utilise it. Drawing on qualitative and survey data on the levels of public awareness, she finds that what the public knows about data continues to be unclear.  Facebook, Instagram and […]