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There is evidence that music programmes can have a positive impact on people in contact with the criminal justice system. However, little attention has been paid to the potential role of music programmes as people leave prison and re-enter the community. Providing support for former prisoners “through-the-gate” is important to aid resettlement and reduce the risk of reoffending. This paper aims to present research on a programme called Sounding Out: a two-year, London-based programme providing ex-prisoners with longer-term rehabilitative opportunities upon their release to bridge the gap between life inside and outside of prison.

The study aimed to understand the impact of the Sounding Out programme on ex-prisoners from the perspective of participants, staff and family members. Semi-structured interviews took place with 17 people: ten participants across two Sounding Out projects; six members of staff – three from the Irene Taylor Trust, two musicians and one former prison worker; and one family member of a participant.

The research provides an understanding of the impact of involvement in a carefully designed programme of music creation, skills development and work placements. Thematic analysis of the data resulted in three key themes: personal impact, focus and direction and interpersonal relationships. The findings are consistent with the body of research that demonstrates the impact of music programmes on prisoners.

The current study adds to the relatively limited body of evidence on the role of music programmes in the reintegration of former prisoners into the community.

Children comprise a significant component of developing countries’ populations, but are rarely present in a substantive way in urban decision-making. The first step toward changing the exclusion of children in urban planning is through analyzing the roots of the problem. Applying a critical approach, this research aimed to explore and challenge the structural patterns of society that exclude children and marginalize them in the case of Iran. The present study interviewed Iranian urban planning professionals in a range of roles, to explore the roots of the persistent failure to incorporate children’s voices. The findings revealed various obstacles to including children: on the one hand, these impediments consisted of broad macro-level barriers derived from the cultural context; on the other, obstacles included micro-level barriers associated with planning processes and the urban management system. Together these embedded sociocultural roots provide insights into mechanisms maintaining a top-down approach and preventing it from shifting to a more inclusive and child-friendly approach in planning modern Iranian cities.

As public health professionals strive to promote vaccines for inoculation efforts, fervent anti-vaccination movements are marshaling against it. This study is motived by a need to better understand the online discussion around vaccination. The authors identified the sentiments, emotions and topics of pro- and anti-vaxxers’ tweets, investigated their change since the pandemic started and further examined the associations between these content features and audiences’ engagement.

Utilizing a snowball sampling method, data were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics. And the authors use the hurdle negative binomial model to test the relationships among sentiment/emotion, topics and engagement.

In general, pro-vaxxers used more positive tones and more emotions of joy in their tweets, while anti-vaxxers utilized more negative terms. The cues of sadness predominantly encourage retweets across the pro- and anti-vaccine corpus, while tweets amplifying the emotion of surprise are more attention-grabbing and getting more likes. Topic modeling of tweets yields the top 15 topics for pro- and anti-vaxxers separately. Among the pro-vaxxers’ tweets, the topics of “Child protection” and “COVID-19 situation” are positively predicting audiences’ engagement. For anti-vaxxers, the topics of “Supporting Trump,” “Injured children,” “COVID-19 situation,” “Media propaganda” and “Community building” are more appealing to audiences.

This study utilizes social media data and a state-of-art machine learning algorithm to generate insights into the development of emotionally appealing content and effective vaccine promotion strategies while combating coronavirus disease 2019 and moving toward a global recovery.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-03-2022-0186