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Social media are changing the way people are exposed to products with addictive potential – including gambling. This chapter provides a brief overview of the way digital technologies like social media are changing the gambling landscape and their relationship with gambling harm. Traditional approaches to gambling harm reduction have largely failed to recognize and address many of the systemic factors that shape the environment in which gambling harm occurs, such as promotion of gambling. Greater regulatory attention is needed to prevent social media from contributing to harm, especially among vulnerable groups such as minors and people experiencing gambling problems.
To assess viewer engagement of a food advertising campaign on the live streaming platform Twitch.tv, a social media platform that allows creators to live stream content and communicate with their audience in real time.
Design:
Observational analysis of chat comments across the Twitch platform containing the word ‘Wendy’s’ or ‘Wendys’ during a 5-day ad campaign compared with two 5-day non-campaign time periods. Comments were categorised as positive, negative or neutral in how their sentiment pertained to the brand Wendy’s.
Setting:
Twitch chatrooms.
Participants:
None.
Results:
There were significantly more chatroom messages related to the Wendy’s brand during the campaign period. When considering all messages, the proportion of messages was statistically different (x2 = 1417·41, P < 0·001) across time periods, with a higher proportion of neutral and positive messages and a lower proportion of negative messages during the campaign compared with the comparison periods. Additionally, the proportion of negative messages following the campaign was lower than before the campaign. When considering only positive and negative messages, the proportion of messages was statistically different (x2 = 366·38, P < 0·001) across each time period with a higher proportion of positive messages and a lower proportion of negative messages during the campaign when compared with the other time periods. Additionally, there was a higher proportion of positive messages and a lower portion of negative messages following the campaign when compared with before the campaign.
Conclusions:
This study demonstrates the impact and sustained impact of a fast-food brand ad campaign on brand engagement on the live streaming platform Twitch.
In 2019 the Bar of Ireland Law Library launched an online exhibition detailing the first one hundred years of women in the law in Ireland and the first one hundred women called to the Irish Bar. The online exhibition coincided with the centenary celebrations of the Sex Disqualification (Removal) Act 1919 and a physical exhibition curated in collaboration with the Honorable Society of Kings Inns and the Law Society of Ireland. This article by Vanessa Curley and Sarah Foley explores the background to how Law Library staff became involved in creating historical exhibitions, the development of a digital archive of The Bar of Ireland and curating online exhibitions to complement this. It will also discuss the benefits of such activities to the Law Library service and the wider Bar of Ireland.
Downloading a mobile health (m-health) app on your smartphone does not mean you will ever use it. Telling another person about an app does not mean you like it. Using an online intervention does not mean it has had an impact on your well-being. Yet we consistently rely on downloads, clicks, ‘likes’ and other usage and popularity metrics to measure m-health app engagement. Doing so misses the complexity of how people perceive and use m-health apps in everyday life to manage mental health conditions. This article questions commonly used behavioural metrics of engagement in mental health research and care, and proposes a more comprehensive approach to measuring in-app engagement.
This chapter describes key methods to promote intervention engagement in order to maximize uptake, prevent early dropout, and support sustained behavior change. The importance of reviewing or conducting qualitative and mixed methods research on target users’ attitudes, capabilities, and lifestyle is highlighted so that interventions can be designed to meet users’ needs. Tailoring interventions is useful to provide appropriate advice and support for the needs of the target population – especially among those who find it difficult to engage due to personal circumstances or lack of resources. Interventions should then be optimized by collecting data on how people engage with them and iteratively modifying them to improve engagement. Qualitative studies are needed to explore target users’ views of intervention elements. Quantitative usage and outcome data are valuable to analyze usage patterns and identify predictors of dropout or effective behavior change. To maintain longer-term engagement with behavior change, it can be useful to harness social support and establish environment-prompted habits that require less deliberative effort to sustain. The chapter provides examples and tools that can be used to design and optimize interventions, drawing on the “person-based approach” that has been used to develop many interventions that have proved engaging and effective.
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