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This paper aims to examine how and why consumers respond to chief executive officer (CEO) activism on social media. The authors developed a conceptual model that proposes impression management as a mechanism for consumer response to CEO activism.

In Study 1a, the authors examined 83,259 tweets from 90 CEOs and compared consumer responses between controversial and noncontroversial tweets. In Study 1b, the authors replicated the analysis, using a machine-learning topic modeling approach. In Studies 2 and 3, the authors used experimental designs to test the theoretical mechanism.

On average, consumers tend to respond more to CEO posts dealing with noncontroversial issues. Consumers’ relative reluctance to like and share controversial posts is motivated by fear of rejection. However, CEO fame reverses this effect. Consumers are more likely to engage in controversial activist threads by popular CEOs. This effect holds for consumers high (vs low) in public self-consciousness. CEO fame serves as a “shield” behind which consumers protect their online image.

The study focused on Twitter (aka “X”) in the USA. Future research may replicate the study in other social media platforms and countries. The authors introduce “shielding” – liking and sharing content authored by a recognizable source – as a tactic for impression management on social media.

Famous CEOs should speak up about controversial issues on social media because their voice helps consumers engage more in such conversations.

This paper offers a theoretical framework to understand consumer reactions to CEO activism.

The authors investigate how COVID-19 has influenced the amount, type or topics of abuse that UK politicians receive when engaging with the public.

This work covers the first year of COVID-19 in the UK, from March 2020 to March 2021 and analyses Twitter abuse in replies to UK MPs. The authors collected and analysed 17.9 million reply tweets to the MPs. The authors present overall abuse levels during different key moments of the pandemic, analysing reactions to MPs by gender and the relationship between online abuse and topics such as Brexit, the government’s COVID-19 response and policies, and social issues.

The authors have found that abuse levels towards UK MPs were at an all-time high in December 2020. Women (particularly those from non-White backgrounds) receive unusual amounts of abuse, targeting their credibility and capacity to do their jobs. Similar to other large events like general elections and Brexit, COVID-19 has elevated abuse levels, at least temporarily.

Previous studies analysed abuse levels towards MPs in the run-up to the 2017 and 2019 UK General Elections and during the first four months of the COVID-19 pandemic in the UK. The authors compare previous findings with those of the first year of COVID-19, as the pandemic persisted, and Brexit was forthcoming. This research not only contributes to the longitudinal comparison of abuse trends against UK politicians but also presents new findings, corroborates, further clarifies and raises questions about the previous findings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2022-0392

Secure children’s homes (SCHs) restrict the liberty of young people considered to be a danger to themselves or others. However, not all young people referred to SCHs find a placement, and little is known about the outcomes of the young person after an SCH or alternative placement. The purpose of this paper is to understand which characteristics most likely predict allocation to an SCH placement, and to explore the outcomes of the young people in the year after referral.

A retrospective electronic cohort study was conducted using linked social care data sets in England. The study population was all young people from England referred to SCHs for welfare reasons between 1st October 2016 to 31st March 2018 (n = 527). Logistic regression tested for differences in characteristics of SCH placement allocation and outcomes in the year after referral.

In total, 60% of young people referred to an SCH were allocated a place. Factors predicting successful or unsuccessful SCH allocation were previous placement in an SCH (OR = 2.12, p = 0.01); being female (OR = 2.26, p = 0.001); older age (OR = 0.75, p = 0.001); and a history of challenging behaviour (OR = 0.34, p = 0.01). In the year after referral, there were little differences in outcomes between young people placed in a SCH versus alternative accommodation.

The study raised concerns about the capacity of current services to recognise and meet the needs of this complex and vulnerable group of young people and highlights the necessity to explore and evaluate alternatives to SCHs.