By Dr Sebastian Whiteford, Swansea University, School of Psychology and Dr Scott Houghton, Northumbria University, Psychology Department
This blog describes a research project made possible by a Strategic Award from the Hub’s Research Innovation Fund, which funds innovative and interdisciplinary research to understand and tackle gambling harms.
Harnessing online sociotechnical methods to better identify and understand gambling related help-seeking has great potential to help people access advice and support sooner. Online search behaviour is, however, an understudied form of help-seeking for individuals experiencing gambling related harms. Google Trends offers a potentially rich, publicly accessible data source which can be used in conjunction with other data sources to investigate historical and ongoing/developing patterns of online help-seeking searches for gambling related harms across time and geographical regions.
What we did. The primary aims of this project were to explore how individuals search for gambling related harm minimisation tools and treatment help and support opportunities online, and how this may have changed over time. We identified a series of key terms for general help-seeking and service specific searches, and examined their trends across the last decade.
What we learned. The project has generated some unexpected avenues – particularly in terms of exploring the influence of policy changes on search behaviour. In particular, we saw significant changes in the underlying motivation for online searches using the term ‘GAMSTOP’ (a free online gambling self-exclusion tool) after March 2020, when all gambling operators in GB were required to be part of the GAMSTOP scheme as a condition of the licence granted to them by the Gambling Commission. A key aspect of this has been using “related queries” to understand how the underlying intention of a search term can change over time – in the case of GAMSTOP, shifting from a surge in searches to find out how to access the self-exclusion tool in March 2020 to searches to find ways to circumvent it. This has allowed us to, at least in part, deconstruct online search behaviour to better determine their relevance to gambling harm, for example delineating “poker” the game, from “poker face” the song.
The project also enabled us to explore the limitations of using Google Trends data, notably changes to data access and data quality over the course of the project. We initially hoped to examine relatively high temporal resolution search data (e.g., hours within days), but the changes to the data provided make this approach infeasible for now. Instead, we pivoted to focus on larger units of time, and employing combination terms to enable us to use the data that is presently available as effectively as possible. Without daily data across the entire date range identified, the utility of Google Trends data alone is limited and means that – for future studies – we would require comparator datasets (e.g. gambling support helpline data) with sufficient observations and the required temporal granularity (across a similar date range) in order to analyse the Google Trends data.
Next steps. These insights have paved the way for applications of this approach to explore the implications of historical and ongoing changes to policy and practice in the online search behaviour of gambling harms and support/treatment for those harms. In addition to disseminating the findings widely, we have also met with the Google Trends team to discuss our concerns and suggest improvements in how they sample and distribute their data, in ways that would enhance its value to gambling harms research and many other fields.