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 […]
Category: big data
Coding for and as social science
An increasingly large share of human activity now takes place in online digital environments. However social researchers are predominantly trained to investigate and interpret a pre-digital world. In this post Mark Carrigan and Phil Brooker argue that social researchers need to increasingly engage with code and coding in order to understand contemporary society. As one step in this direction and […]
Using LinkedIn for Social Research
Different social media platforms allow different levels of access to the data they hold for academic research. In this cross-post Daniela Duca explores some of the ways in which LinkedIn has been used by social scientists and provides a list resources for researchers looking to work with LinkedIn data. Back in 2012, when LinkedIn was close to the 200 million users […]
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 […]
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 […]
Never on a Sunday! Is there a best day for submitting an article for publication?
With the advent of electronic publishing has come a wealth of ancillary data on issues related to the acceptance of articles for publication. Large data sets can now be quickly analysed to assess whether or not certain features, previously deemed unimportant, can actually affect the chances of a research paper being accepted for publication. In this post, James Hartley looks […]
Never on a Sunday! Is there a best day for submitting an article for publication?
With the advent of electronic publishing has come a wealth of ancillary data on issues related to the acceptance of articles for publication. Large data sets can now be quickly analysed to assess whether or not certain features, previously deemed unimportant, can actually affect the chances of a research paper being accepted for publication. In this post, James Hartley looks […]
Research data should be available long-term…but who is going to pay?
There is now a broad consensus that sharing and preserving data makes research more efficient, reproducible and potentially innovative. As such, most funding bodies now require research data to be stored, preserved, and made available long-term. But who is going to pay for this to happen? Marta Teperek and Alastair Dunning outline how the costs of long-term data preservation are […]