Themes, communities and influencers of online probiotics chatter: A retrospective analysis from 2009-2017.

We build on recent examinations questioning the quality of online information about probiotic products by studying the themes of content, detecting virtual communities and identifying key influencers in social media using data science techniques. We conducted topic modelling (n = 36,715 tweets) and longitudinal social network analysis (n = 17,834 tweets) of probiotic chatter on Twitter from 2009-17. We used Latent Dirichlet Allocation (LDA) to build the topic models and network analysis tool Gephi for building yearly graphs.

Amplifying the voices of young people from Black, Asian and other minority ethnic backgrounds in mental health research.

A commentary on the Mental Health Research Goals paper, emphasising the importance of the involvement of young people at all stages of mental health research pertaining to their demographic. Examples are highlighted from the UKRI Emerging Minds Network's research challenge on the impact of racism on young people's mental health in the UK, which has implications for research on racism and youth mental health specifically but also mental health research generally.

'Everything takes too long and nobody is listening': Developing theory to understand the impact of advice on stress and the ability to cope.

Shrinking state spending in the UK has been accompanied by a profound restructuring of the welfare system, leading to financial insecurity for many people, culminating in extreme stress and serious deterioration of physical and mental health. Theory surrounding the impact of welfare advice on stress is lacking; this paper undertakes an in depth exploration of the experiences of stress among welfare advice seekers, considering these in light of existing substantive theories of stress and coping to generate new insight. A thematic analysis explored the experiences of stress in welfare advice seekers.