Professor Luke Sloan
Deputy Head of School
- Media commentator
- Available for postgraduate supervision
Overview
I am Deputy Head of School for the School of Social Sciences at Cardiff University, a large and diverse School with over 1,000 students and a world-leading research profile.
Acting on the delegated authority of the Head of School, I have lead responsibility for ensuring that the human and physical resources necessary to underwrite and enable School strategy are made available. I have oversight and responsibility for: academic workload; staff wellbeing and development; academic mentoring, induction, and early career support. I work with senior Professional Service colleagues to ensure we have the space and physical resources to further the ambitions of colleagues and the School, and I oversee the operation, management and implementation of Safety, Health, Environment and Wellbeing.
I chair the School’s People and Environment Committee, and I am a member of the Senior Management Team and School Board. I deputise for the Head of School as required.
Prior to taking on the Deputy Head of School role, I was the Academic Partner for Student Voice and Engagement. In this role I oversaw an institutional wide programme of change stretching across multiple projects aimed at enhancing the student experience at Cardiff, promoting and listening to student voice, and closing the feedback loop. These projects covered areas such as Module Enhancement, CardiffPulse, Unitu and other work as detailed in the Student Voice Framework. I chaired the Student Voice and Partnership Committee that reports to the Education and Students Experience Committee, which I also sat on. I was a member of the Senior Education Team and Education Performance Oversight Group, both chaired by the PVC Education and Student Experience.
During my time working in this area my senior strategic leadership had a clear and significant impact evidenced through the NSS metrics on Student Voice, with a sustained improvement in positivity scores over time from 62.02 (2022), to 67.33 (2023), and 72.7 (2024). This final positivity score moved Cardiff from 16th to 6th place in the Russell Group for Student Voice and 0.5% above benchmark.
I am the Chair of the University Survey Management Group, which has oversight of all institutional surveys (including NSS, PTES and PRES).
I am a co-author of the 6th Edition of Bryman's Social Research Methods (published 2021) and am currently working on the 7th edition (due 2025).
I am Deputy Director of the Social Data Science Lab and my work on understanding who uses Twitter through the development of demographic proxies and data linkage is internationally recognised. My background is in Political Science but my interests are primarily methodological and span the Social Sciences, hence my focus on representation, geography, quantitative analysis and modelling, exploring data linkage and social surveys. My work has been used in GSR guidance on how Twitter data can be used to augment social research.
I led the recently funded ESRC project 'Understanding [Online/Offline] Society: Linking Surveys with Twitter Data' (£906,021, ES/S015175/1). You can find out more about the project here: https://natcen.ac.uk/linking-survey-and-digital-trace-data
Publication
2024
- Al Baghal, T., Wenz, A., SerÔdio, P., Liu, S., Jessop, C. and Sloan, L. 2024. Linking survey and LinkedIn data: Understanding usage and consent patterns. Journal of Survey Statistics and Methodology 12(5), pp. 1200-1211., article number: smae029. (10.1093/jssam/smae029)
- Liu, S., Sloan, L., Jessop, C., AI Baghal, T. and Serodio, P. 2024. Understanding Twitter usage through linked data: An analysis of motivations and online behavior. Presented at: 2nd Digital Footprints Conference: Linking Digital Data for Social Impact, Bristol, UK, 8 - 9 May 2024, Vol. 9. Vol. 4. Swansea University, (10.23889/ijpds.v9i4.2418)
- Liu, S., Sloan, L., Al Baghal, T., Williams, M., Serôdio, P. and Jessop, C. 2024. Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data. PLoS ONE 19(1), article number: e0297036. (10.1371/journal.pone.0297036)
- Liu, S., Sloan, L., Al Baghal, T., Williams, M., Jessop, C. and Serôdio, P. 2024. Linking survey with Twitter data: Examining associations among smartphone usage, privacy concern and Twitter linkage consent. International Journal of Social Research Methodology (10.1080/13645579.2023.2299482)
2023
- Williams, M. L. et al. 2023. The effect of the Brexit vote on the variation in race and religious hate crimes in England, Wales, Scotland and Northern Ireland. The British Journal of Criminology: An International Review of Crime and Society 63(4), pp. 1003-1023. (10.1093/bjc/azac071)
- Tanner, A. R. et al. 2023. Epicosm -a framework for linking online social media in epidemiological cohorts. International Journal of Epidemiology 52(3), pp. 952-957. (10.1093/ije/dyad020)
- Anthony, R., Young, H., Hewitt, G., Sloan, L., Moore, G., Murphy, S. and Cook, S. 2023. Young people’s online communication and its association with mental wellbeing: Results from the 2019 Student Health and Wellbeing Survey. Child and Adolescent Mental Health 28(1), pp. 4-11. (10.1111/camh.12610)
2022
- Williams, M., Brookfield, C. and Sloan, L. 2022. Quantitative research methods teaching in a digital age. In: Housley, W. et al. eds. The SAGE Handbook of Digital Society. SAGE, pp. 112-130.
- Quan-Haase, A. and Sloan, L. 2022. Introduction. In: Quan-Haase, A. and Sloan, L. eds. The SAGE Handbook of Social Media Research Methods. 2nd Ed.. SAGE, pp. 1-9.
- Sloan, L., Baghal, T. A. and Jessop, C. 2022. Linking Twitter and survey data: Gaining consent, making the link, and maintaining data security. In: Quan-Haase, A. and Sloan, L. eds. The SAGE Handbook of Social Media Research Methods. 2nd Ed.. SAGE, pp. 691-702.
- Sloan, L. and Quan-Haase, A. eds. 2022. The SAGE handbook of social media research methods 2nd ed. Sage.
- Di Cara, N., Winstone, L., Sloan, L. S., Davis, O. S. and Haworth, C. M. A. 2022. The mental health and well-being profile of young adults using social media. npj Mental Health Research 1, article number: 11. (10.1038/s44184-022-00011-w)
- Liu, S., Sloan, L. and Williams, M. 2022. Exploring the association among different types of Twitter activity, loneliness level, and life satisfaction. Presented at: EMERGE 2022: International Conference on Digital Society Now, 16 December 2022 Presented at Mevorah, V., Guga, J. and Markov, ?. eds.EMERGE 2022: Digital Society Now. Belgrade: Institute for Philosophy and Social Theory, University of Belgrade
2021
- Clark, T., Foster, L., Sloan, L. and Bryman, A. 2021. Bryman's social research methods. 6th edition.. Oxford: Oxford University Press.
- Cook, S. et al. 2021. Increases in serious psychological distress among Ontario students between 2013 and 2017: assessing the impact of time spent on social media. Canadian Journal of Psychiatry / Revue Canadienene de Psychiatrie 66(8), pp. 747-756. (10.1177/0706743720987902)
- Al Baghal, T., Wenz, A., Sloan, L. and Jessop, C. 2021. Linking Twitter and survey data: asymmetry in quantity and its impact. EPJ Data Science 10, article number: 32. (10.1140/epjds/s13688-021-00286-7)
- Breuer, J., Al Baghal, T., Sloan, L., Bishop, L., Kondyli, D. and Linardis, A. 2021. Informed consent for linking survey and social media data - fifferences between platforms and data types. IASSIST Quarterly 45(1) (10.29173/iq988)
- Brookfield, C., Williams, M., Sloan, L. and Maule, E. 2021. Engaging social science students with statistics: opportunities, challenges and barriers. Numeracy 14(2), article number: 6. (10.5038/1936-4660.14.2.1386)
2020
- Al Baghal, T., Sloan, L., Jessop, C., Williams, M. L. and Burnap, P. 2020. Linking Twitter and survey data: the impact of survey mode and demographics on consent rates across three UK studies. Social Science Computer Review 38(5), pp. 517-532. (10.1177/0894439319828011)
- Di Cara, N. H. et al. 2020. Views on social media and its linkage to longitudinal data from two generations of a UK cohort study. Wellcome Open Research 5(44) (10.12688/wellcomeopenres.15755.1)
- Sloan, L., Jessop, C., Al Baghal, T. and Williams, M. 2020. Linking survey and Twitter data: informed consent, disclosure, security and archiving. Journal of Empirical Research on Human Research Ethics 15(1-2), pp. 63-76. (10.1177/1556264619853447)
2019
- Williams, M., Sloan, L. and Brookfield, C. 2019. The quantitative crisis in UK sociology. In: Evans, J., Ruane, S. and Southall, H. eds. Data in Society: Challenging Statistics in an Age of Globalisation. Policy Press, pp. 337-348.
- Johns, N., Green, A., Swann, R. and Sloan, L. 2019. Street pastors in the night-time economy: harmless do-gooders or a manifestation of a New Right agenda?. Safer Communities 18(1), pp. 1-15. (10.1108/SC-05-2018-0015)
- Gruzd, A. et al. 2019. Introduction to the 2019 International Conference on Social Media & Society. Presented at: 10th International Conference on Social Media and Society, Toronto, ON, Canada, 19-21 July 2019SMSociety '19: Proceedings of the 10th International Conference on Social Media and Society. New York: ACM pp. 1-4., (10.1145/3328529.3328530)
2018
- Gruzd, A. et al. 2018. Introduction to the 2018 International Conference on Social Media and Society. Presented at: 9th International Conference on Social Media and Society, Copenhagen, Denmark, 18-20 July 2018SMSociety '18: Proceedings of the 9th International Conference on Social Media and Society. New York, NY: ACM pp. 1-4., (10.1145/3217804.3217891)
2017
- Williams, M. L., Burnap, P., Sloan, L., Jessop, C. and Lepps, H. 2017. Users' views of ethics in social media research: informed consent, anonymity and harm. In: Woodfield, K. ed. The Ethics of Online Research., Vol. 2. Advances in Research Ethics and Integrity Emerald Publishing, pp. 27-52., (10.1108/S2398-601820180000002002)
- Williams, M., Sloan, L. and Brookfield, C. 2017. A tale of two sociologies: analytic versus critique in UK sociology. Sociological Research Online 22(4), pp. 132-151. (10.1177/1360780417734146)
- Williams, M. L., Burnap, P. and Sloan, L. 2017. Towards an ethical framework for publishing Twitter data in social research: taking into account users’ views, online context and algorithmic estimation. Sociology 51(6), pp. 1149-1168. (10.1177/0038038517708140)
- Williams, M. L., Burnap, P. and Sloan, L. 2017. Crime sensing with big data: the affordances and limitations of using open-source communications to estimate crime patterns. British Journal of Criminology 57(2), pp. 320-340. (10.1093/bjc/azw031)
- Sloan, L. 2017. Who tweets in the United Kingdom? Profiling the Twitter population using the British Social Attitudes Survey 2015. Social Media and Society 3(1), pp. 1-11. (10.1177/2056305117698981)
- Quan-Haase, A. and Sloan, L. 2017. Introduction to the handbook of social media research methods: goals, challenges and innovations. In: Sloan, L. and Quan-Haase, A. eds. The SAGE Handbook of Social Media Research Methods. SAGE, pp. 1-10.
- Sloan, L. and Quan-Haase, A. 2017. A retrospective on state of the art social media research methods: ethical decisions, big-small data rivalries and the spectre of the 6Vs. In: Sloan, L. and Quan-Haase, A. eds. The SAGE Handbook of Social Media Research Methods. SAGE, pp. 662-672.
- Sloan, L. 2017. Social science 'Lite'? Deriving demographic proxies from Twitter. In: Sloan, L. and Quan-Haase, A. eds. The SAGE Handbook of Social Media Research Methods. SAGE, pp. 90-104.
- Sloan, L. ed. 2017. The SAGE handbook of social media research methods. SAGE.
2016
- Henderson, M., Scourfield, J., Cheung, S. Y., Sharland, E. and Sloan, L. 2016. The effects of social service contact on teenagers in England. Research on Social Work Practice 26(4), pp. 386-398. (10.1177/1049731514557363)
- Williams, M. D., Sloan, L., Cheung, S. Y., Sutton, C., Stevens, S. and Runham, L. 2016. Can't count or won't count? Embedding quantitative methods in substantive sociology curricula: a quasi-experiment. Sociology 50(3), pp. 435-452. (10.1177/0038038515587652)
- Burnap, P., Gibson, R., Sloan, L., Southern, R. and Williams, M. L. 2016. 140 characters to victory?: Using Twitter to predict the UK 2015 General Election. Electoral Studies 41, pp. 230-233. (10.1016/j.electstud.2015.11.017)
- Williams, M., Payne, G. and Sloan, L. 2016. Making sociology count: Some evidence and context in the teaching of quantitative methods in the UK. In: McKie, L. and Ryan, L. eds. An End to the Crisis of Empirical Sociology? Trends and Challenges in Social Research. Sociological Futures Abingdon and New York: Routledge, pp. 171-186.
- Williams, M. D., Payne, G. and Sloan, L. 2016. An end to the crisis of empirical sociology? Trends and challenges in social research. In: McKie, L. and Ryan, L. eds. An End to the Crisis of Empirical Sociology Trends and Challenges in Social Research. London: Routledge, pp. 171-186.
2015
- Sloan, L. and Morgan, J. 2015. Who tweets with their location? Understanding the relationship between demographic characteristics and the use of geoservices and geotagging on Twitter. PLoS ONE 10(11), article number: e0142209. (10.1371/journal.pone.0142209)
- Burnap, P. et al. 2015. Detecting tension in online communities with computational Twitter analysis. Technological Forecasting & Social Change 95, pp. 96-108. (10.1016/j.techfore.2013.04.013)
- Sloan, L., Morgan, J., Burnap, P. and Williams, M. 2015. Who tweets? Deriving the demographic characteristics of age, occupation and social class from Twitter user meta-data. PLoS ONE 10(3), article number: e0115545. (10.1371/journal.pone.0115545)
- Williams, M. L. and Sloan, L. 2015. Gaining insights from social media data: collection, analysis and interpretation. Presented at: Supporting Human Rights Organisations to Deliver Insights From Social Media, University of Essex, UK, 2015.
- Swann, R., Green, A., Johns, N. and Sloan, L. 2015. Street pastors as substitutes for trust in the context of plural policing. Safer Communities 4(4), pp. 168-182. (10.1108/SC-03-2015-0011)
- Burnap, P., Gibson, R., Sloan, L., Southern, R. and Williams, M. L. 2015. 140 characters to victory?: Using Twitter to predict the UK 2015 General Election. Working paper. Cardiff University.
- Burnap, P. et al. 2015. COSMOS: Towards an integrated and scalable service for analysing social media on demand. International Journal of Parallel, Emergent and Distributed Systems 30(2), pp. 80-100. (10.1080/17445760.2014.902057)
2014
- Sloan, L., Williams, M. L. and Burnap, P. 2014. Deriving demographic variables from twitter data. Presented at: Office for National Statistics Big Data Project Workshop, Titchfield, England, 21 July 2014. pp. -.
- Burnap, P. et al. 2014. Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack. Social Network Analysis and Mining 4, article number: 206. (10.1007/s13278-014-0206-4)
- Thrasher, M., Borisyuk, G., Rallings, C. and Sloan, L. 2014. Voting systems in parallel and the benefits for small parties: an examination of Green Party candidates in London elections. Party Politics 20(1), pp. 134-142. (10.1177/1354068811436045)
- Housley, W. et al. 2014. Big and broad social data and the sociological imagination: a collaborative response. Big Data & Society 1(2) (10.1177/2053951714545135)
2013
- Sloan, L., Morgan, J., Housley, W., Williams, M. L., Edwards, A. M., Burnap, P. and Rana, O. F. 2013. Knowing the Tweeters: Deriving sociologically relevant demographics from Twitter. Sociological Research Online 18(3), article number: 7. (10.5153/sro.3001)
- Sloan, L. 2013. Can we feel their presence? a new framework for investigating minor parties in English Local Government. Local Government Studies 40(4), pp. 621-641. (10.1080/03003930.2013.795891)
- Sloan, L., Williams, M. L., Burnap, P., Housley, W., Edwards, A. M. and Rana, O. F. 2013. Using social media with survey data. Presented at: ESRC Seminar Series: New Social Media, New Social Science?, London, UK, 2013.
- Sloan, L., Rob, P., Williams, M. L., Housley, W., Edwards, A. M., Burnap, P. and Rana, O. F. 2013. The Collaborative Online Social Media Observatory. Presented at: ESRC Seminar Series: New Social Media, New Social Science? Blurring the Boundaries: One Year On, London, UK, 2013.
- Williams, M. L., Procter, R., Housley, W., Edwards, A. M., Burnap, P., Sloan, L. and Voss, A. 2013. Collaborative online social media observatory. Presented at: COSMOS Launch, London, England, 2013.
- Burnap, P. et al. 2013. Collaborative online social media observatory. Presented at: Web Observatory Launch, Royal Society, London, UK, 2013.
- Rob, P. et al. 2013. Enabling social media research through citizen social science. Presented at: 13th European Conference on Computer Supported Cooperative Work, Paphos, Cyprus, 21-25 September 2013.
- Burnap, P., Williams, M. L., Housley, W., Edwards, A. M., Sloan, L. and Rana, O. F. 2013. Detecting tension in social media. Presented at: Third International Conference on Social Computing and its Applications, Karlsruhe, Germany, 30 Sept - 2 Oct 2013.
- Taylor, C. M., Rees, G. M., Sloan, L. and Davies, R. 2013. Creating an inclusive Higher Education system? Progression and outcomes of students from low participation neighbourhoods at a Welsh university. Contemporary Wales 26, pp. 138-161.
- Williams, M. L. et al. 2013. Policing cyber-neighbourhoods: Tension monitoring and social media networks. Policing and Society 23(4), pp. 461-481. (10.1080/10439463.2013.780225)
- Edwards, A. M., Housley, W., Williams, M. L., Sloan, L. and Williams, M. D. 2013. Digital social research, social media and the sociological imagination: Surrogacy, augmentation and re-orientation. International Journal of Social Research Methodology 16(3), pp. 245-260. (10.1080/13645579.2013.774185)
2012
- Scourfield, J. B., Tolman, R., Maxwell, N., Holland, S., Bullock, A. D. and Sloan, L. 2012. Results of a training course for social workers on engaging fathers in child protection. Children and Youth Services Review 34(8), pp. 1425-1432. (10.1016/j.childyouth.2012.03.022)
- Shand, R. and Sloan, L. 2012. Regeneration vs. The Market: How Were House Prices in Barking Affected by Renewal Projects in the Area?. Social and Public Policy Review 6(2), pp. 18-29.
- Burnap, P. et al. 2012. Social media analysis, Twitter and the London Olympics (a research note). Working paper. Cardiff: Cardiff University.
- Slater, T., Scourfield, J. B. and Sloan, L. 2012. Who is citing whom in social work? A response to Hodge, Lacasse and Benson. British Journal of Social Work 42(8), pp. 1626-1633. (10.1093/bjsw/bcs190)
- Burnap, P. et al. 2012. Working paper 153: social media analysis, Twitter and the London Olympics 2012 [working paper]. Working paper. Cardiff: School of Social Sciences, Cardiff University. Available at: http://www.cardiff.ac.uk/socsi/resources/Working%20Paper%20153%20-%20Burnap%20et%20al.%20(2013)%20Social%20Media%20Analysis,%20Twitter%20and%20the%20London%20Olympics%202012%20-%20A%20Research%20Note.pdf
Adrannau llyfrau
- Williams, M., Brookfield, C. and Sloan, L. 2022. Quantitative research methods teaching in a digital age. In: Housley, W. et al. eds. The SAGE Handbook of Digital Society. SAGE, pp. 112-130.
- Quan-Haase, A. and Sloan, L. 2022. Introduction. In: Quan-Haase, A. and Sloan, L. eds. The SAGE Handbook of Social Media Research Methods. 2nd Ed.. SAGE, pp. 1-9.
- Sloan, L., Baghal, T. A. and Jessop, C. 2022. Linking Twitter and survey data: Gaining consent, making the link, and maintaining data security. In: Quan-Haase, A. and Sloan, L. eds. The SAGE Handbook of Social Media Research Methods. 2nd Ed.. SAGE, pp. 691-702.
- Williams, M., Sloan, L. and Brookfield, C. 2019. The quantitative crisis in UK sociology. In: Evans, J., Ruane, S. and Southall, H. eds. Data in Society: Challenging Statistics in an Age of Globalisation. Policy Press, pp. 337-348.
- Williams, M. L., Burnap, P., Sloan, L., Jessop, C. and Lepps, H. 2017. Users' views of ethics in social media research: informed consent, anonymity and harm. In: Woodfield, K. ed. The Ethics of Online Research., Vol. 2. Advances in Research Ethics and Integrity Emerald Publishing, pp. 27-52., (10.1108/S2398-601820180000002002)
- Quan-Haase, A. and Sloan, L. 2017. Introduction to the handbook of social media research methods: goals, challenges and innovations. In: Sloan, L. and Quan-Haase, A. eds. The SAGE Handbook of Social Media Research Methods. SAGE, pp. 1-10.
- Sloan, L. and Quan-Haase, A. 2017. A retrospective on state of the art social media research methods: ethical decisions, big-small data rivalries and the spectre of the 6Vs. In: Sloan, L. and Quan-Haase, A. eds. The SAGE Handbook of Social Media Research Methods. SAGE, pp. 662-672.
- Sloan, L. 2017. Social science 'Lite'? Deriving demographic proxies from Twitter. In: Sloan, L. and Quan-Haase, A. eds. The SAGE Handbook of Social Media Research Methods. SAGE, pp. 90-104.
- Williams, M., Payne, G. and Sloan, L. 2016. Making sociology count: Some evidence and context in the teaching of quantitative methods in the UK. In: McKie, L. and Ryan, L. eds. An End to the Crisis of Empirical Sociology? Trends and Challenges in Social Research. Sociological Futures Abingdon and New York: Routledge, pp. 171-186.
- Williams, M. D., Payne, G. and Sloan, L. 2016. An end to the crisis of empirical sociology? Trends and challenges in social research. In: McKie, L. and Ryan, L. eds. An End to the Crisis of Empirical Sociology Trends and Challenges in Social Research. London: Routledge, pp. 171-186.
Cynadleddau
- Liu, S., Sloan, L., Jessop, C., AI Baghal, T. and Serodio, P. 2024. Understanding Twitter usage through linked data: An analysis of motivations and online behavior. Presented at: 2nd Digital Footprints Conference: Linking Digital Data for Social Impact, Bristol, UK, 8 - 9 May 2024, Vol. 9. Vol. 4. Swansea University, (10.23889/ijpds.v9i4.2418)
- Liu, S., Sloan, L. and Williams, M. 2022. Exploring the association among different types of Twitter activity, loneliness level, and life satisfaction. Presented at: EMERGE 2022: International Conference on Digital Society Now, 16 December 2022 Presented at Mevorah, V., Guga, J. and Markov, ?. eds.EMERGE 2022: Digital Society Now. Belgrade: Institute for Philosophy and Social Theory, University of Belgrade
- Gruzd, A. et al. 2019. Introduction to the 2019 International Conference on Social Media & Society. Presented at: 10th International Conference on Social Media and Society, Toronto, ON, Canada, 19-21 July 2019SMSociety '19: Proceedings of the 10th International Conference on Social Media and Society. New York: ACM pp. 1-4., (10.1145/3328529.3328530)
- Gruzd, A. et al. 2018. Introduction to the 2018 International Conference on Social Media and Society. Presented at: 9th International Conference on Social Media and Society, Copenhagen, Denmark, 18-20 July 2018SMSociety '18: Proceedings of the 9th International Conference on Social Media and Society. New York, NY: ACM pp. 1-4., (10.1145/3217804.3217891)
- Williams, M. L. and Sloan, L. 2015. Gaining insights from social media data: collection, analysis and interpretation. Presented at: Supporting Human Rights Organisations to Deliver Insights From Social Media, University of Essex, UK, 2015.
- Sloan, L., Williams, M. L. and Burnap, P. 2014. Deriving demographic variables from twitter data. Presented at: Office for National Statistics Big Data Project Workshop, Titchfield, England, 21 July 2014. pp. -.
- Sloan, L., Williams, M. L., Burnap, P., Housley, W., Edwards, A. M. and Rana, O. F. 2013. Using social media with survey data. Presented at: ESRC Seminar Series: New Social Media, New Social Science?, London, UK, 2013.
- Sloan, L., Rob, P., Williams, M. L., Housley, W., Edwards, A. M., Burnap, P. and Rana, O. F. 2013. The Collaborative Online Social Media Observatory. Presented at: ESRC Seminar Series: New Social Media, New Social Science? Blurring the Boundaries: One Year On, London, UK, 2013.
- Williams, M. L., Procter, R., Housley, W., Edwards, A. M., Burnap, P., Sloan, L. and Voss, A. 2013. Collaborative online social media observatory. Presented at: COSMOS Launch, London, England, 2013.
- Burnap, P. et al. 2013. Collaborative online social media observatory. Presented at: Web Observatory Launch, Royal Society, London, UK, 2013.
- Rob, P. et al. 2013. Enabling social media research through citizen social science. Presented at: 13th European Conference on Computer Supported Cooperative Work, Paphos, Cyprus, 21-25 September 2013.
- Burnap, P., Williams, M. L., Housley, W., Edwards, A. M., Sloan, L. and Rana, O. F. 2013. Detecting tension in social media. Presented at: Third International Conference on Social Computing and its Applications, Karlsruhe, Germany, 30 Sept - 2 Oct 2013.
Erthyglau
- Al Baghal, T., Wenz, A., SerÔdio, P., Liu, S., Jessop, C. and Sloan, L. 2024. Linking survey and LinkedIn data: Understanding usage and consent patterns. Journal of Survey Statistics and Methodology 12(5), pp. 1200-1211., article number: smae029. (10.1093/jssam/smae029)
- Liu, S., Sloan, L., Al Baghal, T., Williams, M., Serôdio, P. and Jessop, C. 2024. Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data. PLoS ONE 19(1), article number: e0297036. (10.1371/journal.pone.0297036)
- Liu, S., Sloan, L., Al Baghal, T., Williams, M., Jessop, C. and Serôdio, P. 2024. Linking survey with Twitter data: Examining associations among smartphone usage, privacy concern and Twitter linkage consent. International Journal of Social Research Methodology (10.1080/13645579.2023.2299482)
- Williams, M. L. et al. 2023. The effect of the Brexit vote on the variation in race and religious hate crimes in England, Wales, Scotland and Northern Ireland. The British Journal of Criminology: An International Review of Crime and Society 63(4), pp. 1003-1023. (10.1093/bjc/azac071)
- Tanner, A. R. et al. 2023. Epicosm -a framework for linking online social media in epidemiological cohorts. International Journal of Epidemiology 52(3), pp. 952-957. (10.1093/ije/dyad020)
- Anthony, R., Young, H., Hewitt, G., Sloan, L., Moore, G., Murphy, S. and Cook, S. 2023. Young people’s online communication and its association with mental wellbeing: Results from the 2019 Student Health and Wellbeing Survey. Child and Adolescent Mental Health 28(1), pp. 4-11. (10.1111/camh.12610)
- Di Cara, N., Winstone, L., Sloan, L. S., Davis, O. S. and Haworth, C. M. A. 2022. The mental health and well-being profile of young adults using social media. npj Mental Health Research 1, article number: 11. (10.1038/s44184-022-00011-w)
- Cook, S. et al. 2021. Increases in serious psychological distress among Ontario students between 2013 and 2017: assessing the impact of time spent on social media. Canadian Journal of Psychiatry / Revue Canadienene de Psychiatrie 66(8), pp. 747-756. (10.1177/0706743720987902)
- Al Baghal, T., Wenz, A., Sloan, L. and Jessop, C. 2021. Linking Twitter and survey data: asymmetry in quantity and its impact. EPJ Data Science 10, article number: 32. (10.1140/epjds/s13688-021-00286-7)
- Breuer, J., Al Baghal, T., Sloan, L., Bishop, L., Kondyli, D. and Linardis, A. 2021. Informed consent for linking survey and social media data - fifferences between platforms and data types. IASSIST Quarterly 45(1) (10.29173/iq988)
- Brookfield, C., Williams, M., Sloan, L. and Maule, E. 2021. Engaging social science students with statistics: opportunities, challenges and barriers. Numeracy 14(2), article number: 6. (10.5038/1936-4660.14.2.1386)
- Al Baghal, T., Sloan, L., Jessop, C., Williams, M. L. and Burnap, P. 2020. Linking Twitter and survey data: the impact of survey mode and demographics on consent rates across three UK studies. Social Science Computer Review 38(5), pp. 517-532. (10.1177/0894439319828011)
- Di Cara, N. H. et al. 2020. Views on social media and its linkage to longitudinal data from two generations of a UK cohort study. Wellcome Open Research 5(44) (10.12688/wellcomeopenres.15755.1)
- Sloan, L., Jessop, C., Al Baghal, T. and Williams, M. 2020. Linking survey and Twitter data: informed consent, disclosure, security and archiving. Journal of Empirical Research on Human Research Ethics 15(1-2), pp. 63-76. (10.1177/1556264619853447)
- Johns, N., Green, A., Swann, R. and Sloan, L. 2019. Street pastors in the night-time economy: harmless do-gooders or a manifestation of a New Right agenda?. Safer Communities 18(1), pp. 1-15. (10.1108/SC-05-2018-0015)
- Williams, M., Sloan, L. and Brookfield, C. 2017. A tale of two sociologies: analytic versus critique in UK sociology. Sociological Research Online 22(4), pp. 132-151. (10.1177/1360780417734146)
- Williams, M. L., Burnap, P. and Sloan, L. 2017. Towards an ethical framework for publishing Twitter data in social research: taking into account users’ views, online context and algorithmic estimation. Sociology 51(6), pp. 1149-1168. (10.1177/0038038517708140)
- Williams, M. L., Burnap, P. and Sloan, L. 2017. Crime sensing with big data: the affordances and limitations of using open-source communications to estimate crime patterns. British Journal of Criminology 57(2), pp. 320-340. (10.1093/bjc/azw031)
- Sloan, L. 2017. Who tweets in the United Kingdom? Profiling the Twitter population using the British Social Attitudes Survey 2015. Social Media and Society 3(1), pp. 1-11. (10.1177/2056305117698981)
- Henderson, M., Scourfield, J., Cheung, S. Y., Sharland, E. and Sloan, L. 2016. The effects of social service contact on teenagers in England. Research on Social Work Practice 26(4), pp. 386-398. (10.1177/1049731514557363)
- Williams, M. D., Sloan, L., Cheung, S. Y., Sutton, C., Stevens, S. and Runham, L. 2016. Can't count or won't count? Embedding quantitative methods in substantive sociology curricula: a quasi-experiment. Sociology 50(3), pp. 435-452. (10.1177/0038038515587652)
- Burnap, P., Gibson, R., Sloan, L., Southern, R. and Williams, M. L. 2016. 140 characters to victory?: Using Twitter to predict the UK 2015 General Election. Electoral Studies 41, pp. 230-233. (10.1016/j.electstud.2015.11.017)
- Sloan, L. and Morgan, J. 2015. Who tweets with their location? Understanding the relationship between demographic characteristics and the use of geoservices and geotagging on Twitter. PLoS ONE 10(11), article number: e0142209. (10.1371/journal.pone.0142209)
- Burnap, P. et al. 2015. Detecting tension in online communities with computational Twitter analysis. Technological Forecasting & Social Change 95, pp. 96-108. (10.1016/j.techfore.2013.04.013)
- Sloan, L., Morgan, J., Burnap, P. and Williams, M. 2015. Who tweets? Deriving the demographic characteristics of age, occupation and social class from Twitter user meta-data. PLoS ONE 10(3), article number: e0115545. (10.1371/journal.pone.0115545)
- Swann, R., Green, A., Johns, N. and Sloan, L. 2015. Street pastors as substitutes for trust in the context of plural policing. Safer Communities 4(4), pp. 168-182. (10.1108/SC-03-2015-0011)
- Burnap, P. et al. 2015. COSMOS: Towards an integrated and scalable service for analysing social media on demand. International Journal of Parallel, Emergent and Distributed Systems 30(2), pp. 80-100. (10.1080/17445760.2014.902057)
- Burnap, P. et al. 2014. Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack. Social Network Analysis and Mining 4, article number: 206. (10.1007/s13278-014-0206-4)
- Thrasher, M., Borisyuk, G., Rallings, C. and Sloan, L. 2014. Voting systems in parallel and the benefits for small parties: an examination of Green Party candidates in London elections. Party Politics 20(1), pp. 134-142. (10.1177/1354068811436045)
- Housley, W. et al. 2014. Big and broad social data and the sociological imagination: a collaborative response. Big Data & Society 1(2) (10.1177/2053951714545135)
- Sloan, L., Morgan, J., Housley, W., Williams, M. L., Edwards, A. M., Burnap, P. and Rana, O. F. 2013. Knowing the Tweeters: Deriving sociologically relevant demographics from Twitter. Sociological Research Online 18(3), article number: 7. (10.5153/sro.3001)
- Sloan, L. 2013. Can we feel their presence? a new framework for investigating minor parties in English Local Government. Local Government Studies 40(4), pp. 621-641. (10.1080/03003930.2013.795891)
- Taylor, C. M., Rees, G. M., Sloan, L. and Davies, R. 2013. Creating an inclusive Higher Education system? Progression and outcomes of students from low participation neighbourhoods at a Welsh university. Contemporary Wales 26, pp. 138-161.
- Williams, M. L. et al. 2013. Policing cyber-neighbourhoods: Tension monitoring and social media networks. Policing and Society 23(4), pp. 461-481. (10.1080/10439463.2013.780225)
- Edwards, A. M., Housley, W., Williams, M. L., Sloan, L. and Williams, M. D. 2013. Digital social research, social media and the sociological imagination: Surrogacy, augmentation and re-orientation. International Journal of Social Research Methodology 16(3), pp. 245-260. (10.1080/13645579.2013.774185)
- Scourfield, J. B., Tolman, R., Maxwell, N., Holland, S., Bullock, A. D. and Sloan, L. 2012. Results of a training course for social workers on engaging fathers in child protection. Children and Youth Services Review 34(8), pp. 1425-1432. (10.1016/j.childyouth.2012.03.022)
- Shand, R. and Sloan, L. 2012. Regeneration vs. The Market: How Were House Prices in Barking Affected by Renewal Projects in the Area?. Social and Public Policy Review 6(2), pp. 18-29.
- Slater, T., Scourfield, J. B. and Sloan, L. 2012. Who is citing whom in social work? A response to Hodge, Lacasse and Benson. British Journal of Social Work 42(8), pp. 1626-1633. (10.1093/bjsw/bcs190)
Llyfrau
- Sloan, L. and Quan-Haase, A. eds. 2022. The SAGE handbook of social media research methods 2nd ed. Sage.
- Clark, T., Foster, L., Sloan, L. and Bryman, A. 2021. Bryman's social research methods. 6th edition.. Oxford: Oxford University Press.
- Sloan, L. ed. 2017. The SAGE handbook of social media research methods. SAGE.
Monograffau
- Burnap, P., Gibson, R., Sloan, L., Southern, R. and Williams, M. L. 2015. 140 characters to victory?: Using Twitter to predict the UK 2015 General Election. Working paper. Cardiff University.
- Burnap, P. et al. 2012. Social media analysis, Twitter and the London Olympics (a research note). Working paper. Cardiff: Cardiff University.
- Burnap, P. et al. 2012. Working paper 153: social media analysis, Twitter and the London Olympics 2012 [working paper]. Working paper. Cardiff: School of Social Sciences, Cardiff University. Available at: http://www.cardiff.ac.uk/socsi/resources/Working%20Paper%20153%20-%20Burnap%20et%20al.%20(2013)%20Social%20Media%20Analysis,%20Twitter%20and%20the%20London%20Olympics%202012%20-%20A%20Research%20Note.pdf
- Sloan, L., Jessop, C., Al Baghal, T. and Williams, M. 2020. Linking survey and Twitter data: informed consent, disclosure, security and archiving. Journal of Empirical Research on Human Research Ethics 15(1-2), pp. 63-76. (10.1177/1556264619853447)
Research
Summary
I am Deputy Director of the Social Data Science Lab. My principle research interests are understanding representation on Twitter and augmenting social media data through data linkage. I have worked on a range of projects investigating the use of Twitter data for understanding social phenomena covering topics such as election prediction, tracking (mis)information propagation during food scares and ‘crime-sensing’. My published work focuses on the development of demographic proxies for Twitter data to further understand who uses the platform and increase the utility of such data for the social sciences. I sit as an expert member on the Social Media Analytics Review and Information Group (SMARIG) which brings together academics and government agencies and work closely with the Office for National Statistics and Food Standards Agency. I am currently involved in three large UK-based social survey studies that are exploring potential linkage between Twitter and survey data – British Social Attitudes 2015, the Welsh Election Study 2016 and the Understanding Society Innovation Panel 2017.
Research Grants (awarded)
- Understanding [Online/Offline] Society: Linking Surveys with Twitter Data, ESRC (Principle Investigator, £906,021), ES/S015175/1*
- Hate Crime After Brexit: Linking Terrestrial and New Forms of Data to Inform Governance, ESRC (Co-Investigator, £249,995), ES/S006168/1
- Social Data Science Lab: Methods and Infrastructure Development for Open Data Analytics in Social Research 2017-2020, ESRC (Co-Investigator, £705,050) ES/P008755/1
- Welsh Election Study 2016, ESRC (Co-Investigator, £226k) ES/M011127/1
- Public perceptions of the UK food system: public understanding and engagement, and the impact of crises and scares 2014, ESRC/FSA (Co-Investigator, £291,200), ES/M003329/1
- NCRM Methodological Innovation Project 2013 (Co-Investigator, approx. £180k): COSMOS 2.0 Social Media Data Mashing, Tension Analysis and Predictive Analytics
- Nuffield Children, Young People and Families using Social Work Service in Four UK Cohort Studies 2013(Co-Investigator, approx. £150k): a project investigating social worker contact with respondent the Millennium Cohort Study, ALPAC, BHPS and LSYPE
- European Social Fund (ESF) Women Adding Value to the Economy 2012 – WAVE (Co-Investigator, approx. £1m): A project investigating the gender pay gap in Wales, particular responsibility for quantitative strand involving supervision of a research associate
*Understanding [Online/Offline] Society: Linking Surveys with Twitter Data (ES/S015175/1)
Understanding behaviours, attitudes and identities in online space is a key challenge for 21st Century Social Science. The opportunities provided by social media platforms such as Twitter are significant, with between 300 and 500 million tweets generated a day representing interactions, networks, opinions and reactions at a highly granular temporal (and sometimes spatial) level. On average 4,500 tweets are authored every second and this velocity of data offers us a real-time insight into the social world. However, the fly in the ointment for researchers is that we have a limited understanding of who (or what in the case of 'bots') is present in the online space and to what extent the online representation of social actors can be taken to represent the social world. The fundamental concerns of what can be known and how we can know it need to be addressed before social science can embrace, albeit with a healthy dose of caution, Twitter as a source of knowledge on the social world.
In light of this, this project sets out to establish what insights Twitter can offer us into social phenomenon through the linkage of the content and metadata of tweets with survey data from three major UK surveys - British Social Attitudes 2015, Understanding Society Innovation Panel 2017 and the NatCen Panel. In essence, this project is an exercise in method, calibration and verification, through taking what we know about a respondent and exploring to what extent a given known characteristic may manifest (or not) in the online setting, and vice versa. There is clear methodological value in this - gaining consent to link additional sources of data to survey responses is increasingly used to enhance the value of survey data, validate survey measures, and address issues with nonresponse. However, most previous research on consent has focused on administrative records, and understanding consent relating to other new forms of data is needed.
With novel methods there are limitations to working theoretically - unpredicted limitations may become apparent, and the value of the design not be evident without a real research context. We therefore propose further data collection as part of substantive case study concerning attitudes and behaviours toward ethnic minorities that will aim to uncover 'hidden' challenges and demonstrate how this methodology can be employed, as well as contributing to the substantive literature. To maximise the value of the research for the wider academic community, this work will in turn inform a work package focusing solely on archiving, sharing and re-use of the linked dataset and/or a derivative of it. Whilst Twitter is only one of many social media platforms, it is the most open and accessible and provides a proving ground on which issues of consent, linkage, archiving and sharing can be tested and evaluated. We anticipate that many of the lessons and protocols developed as part of this research will be operationally applicable to other social media platforms.
In summary, the research project seeks to answer the following research questions:
RQ1) How can Twitter data be used to enhance survey data?
RQ2) How can survey data be used to evaluate existing demographic proxy measures and develop new ones?
RQ3) How can we encourage informed consent to social media data linkage?
RQ4) Demonstrator Study: How can linked data (direct reported and observed indirect) help us to understand public attitudes towards minority ethnic groups?
RQ5) How can social media data be collected, linked to survey data, analysed, archived, and shared in a legal and ethical manner that maintains utility?
You can find out more about this project here: https://natcen.ac.uk/linking-survey-and-digital-trace-data
Teaching
Summary
I had two key roles in the University that are directly related to teaching and learning.
As Director of Learning and Teaching I oversaw all educational provision in the School across our undergraduate and postgraduate programmes, including during the pandemic.
As Co-Director of the Cardiff Q-Step Centre of Excellence in Quantitative Methods Teaching (and Teaching Group Coordinator) I was responsible for overseeing the successful implementation and quality control of all our new programme content on BSc Social Analytics. The Q-Step Centre award was given after an international peer-review process and we are 6 years into the project.
Teaching/Scholarship Grants (awarded)
- Q-STEP Transition Funding, funded by the Nuffield Foundation (Director, approx £120k)
- Q-STEP Centre for Excellence in Quantitative Methods Teaching, funded by the Nuffield Foundation, HEFCE and ESRC (Co-Director, approx. £1.3m)
- Changing the Learning Landscape, A national Student-Led Survey: creating a cross-institutional survey project through student collected data for better quantitative methods teaching 2013, HEA (Principle Investigator, £750)
- Innovation in the Assessment of Social Science Research Methods in UK HEIs 2013, HEA (Principle Investigator, £7,900).
- ESRC Research Development Initiative 2011 (Co-Investigator, approx £90K): a project to develop an international pedagogic network in which good practice can be shared in teaching quantitative methods (QM), ES/J011851/1
- ESRC Curriculum Innovation 2011 (Co-Investigator, approx £90k): a project to develop new modules in the social science curriculum in which quantitative methods are embedded, ES/J011843/1
Biography
Education & Qualifications
- 2007-2010: PhD (Political Science) University of Plymouth, UK*
- 2006-2007: MSc (Social Research) University of Plymouth, UK*
- 2003-2006: BSc Hons (Politics) University of Plymouth, UK
* awarded a 1+3 ESRC Studentship with the Elections Centre, University of Plymouth
Career Overview
- Aug 2020 - present: Professor, School of Social Sciences, Cardiff University, UK
- Nov 2017 - Jul 2020: Reader, School of Social Sciences, Cardiff University, UK
- Apr 2014 - Oct 2017: Senior Lecturer, School of Social Sciences, Cardiff University, UK
- Jan 2011 - Mar 2014: Lecturer, School of Social Sciences, Cardiff University, UK
- Oct 2010 - Dec 2010: Research Fellow in Leadership & Governance, Plymouth Business School, University of Plymouth, UK
I led an institution-wide programme of work from 2021 focused on enhancing the Student Voice. After a year of working in this area I demonstrated both my strategic impact and the institutional potential for shifting the dial on student voice, and accordingly I took on the formal role of Academic Partner for Student Voice and Partnership (Sept 2022 to July 2024), line managed by the Pro-Vice Chancellor for Education and Student Experience. As a senior leader with strategic oversight I led on the successful redesign and implementation of a new institution wide Module Enhancement Policy, a new system for conducting end of module surveys, a successful business case to establish a new team of 10+ individuals to radically overhaul how we do Student Voice at Cardiff, and a new approach to working in partnership with the Student Union.
During my time working in this area my strategic leadership had a clear and significant impact evidenced through the NSS metrics on Student Voice, with a sustained improvement in positivity scores over time from 62.02 (2022), to 67.33 (2023), and 72.7 (2024). This final positivity score moved Cardiff from 16th to 6th place in the Russell Group for Student Voice and 0.5% above benchmark.
I was Director of Learning and Teaching for the School of Social Sciences Sept 2020 - Sept 2022. As Director of Learning and Teaching I sat on the School of Social Sciences Senior Management Team and had responsibility for all undergraduate and postgraduate educational provision. I was also responsible for ensuring educational continuity and an excellent student experience during the pandemic.
I believe in research-informed teaching, so through my previous role as Co-Director of the Cardiff Q-Step Centre of Excellence in Quantitative Methods Teaching I led the development of a new degree programme (BSc Social Analytics - UCAS code J3G5) in collaboration with external agencies such as the Office for National Statistics to give graduates the skills they need to thrive in a data-centric world.
Honours and awards
- Awarded the Dillwyn Medal for Social Sciences, Economics and Business 2019 by the Learned Society of Wales
- Winner of the "Most Effective Teacher Award" at the Cardiff University Enriching Student Life Awards for innovation in research methods teaching in 2013
- "Knowing the Tweeters" shortlisted for Sociological Research Online Best Paper Award in 2013
Professional memberships
- Fellow of the Higher Education Academy
Committees and reviewing
Internal Committees/Groups
- Co-Chair of the Student Voice & Partnership Committee
- Chair of School of Social Sciences Admissions and Recruitment Committee
- Member of School of Social Sciences Senior Management Team
- Member of University First Choice Recruitment and Conversion Project Board
- Member of School of Social Sciences Teaching and Learning Committee
- Member of AHSS College Admissions and Recruitment Group
- Member of University Student Survey Group
- Member of the steering group for a medium/large project funded under the Cardiff University Education Innovation Fund (“Grand Challenges through Project Based Learning”)
External Committees/Groups
- Member of the Cathy Marsh Institue for Social Research Advisory Board (University of Manchester)
- Member of the HEFCE Postgraduate Information Steering Group (PISG)
- Grant reviewer for ESRC, Swiss National Science Foundation (SNSF), European Research Council (ERC)
- Expert member of the Social Media Analytics Review and Innovation Group (SMARIG), set up to provide strategic guidance to government departments and agencies on how social media data can be used for social research
Supervisions
Current supervision
Jodie Luker
Research student
Contact Details
+44 29208 70262
Glamorgan Building, Room 1.27, King Edward VII Avenue, Cardiff, CF10 3WA
sbarc|spark, Room 03.14, Maindy Road, Cathays, Cardiff, CF24 4HQ