Frustration and ennui among Amazon MTurk workers

Academics are increasingly turning to crowdsourcing platforms to recruit research participants. Their endeavors have benefited from a proliferation of studies attesting to the quality of crowdsourced data or offering guidance on managing specific challenges associated with doing crowdsourced research. Thus far, however, relatively little is known about what it is like to be a participant in crowdsourced research. Our analysis of almost 1400 free-text responses provides insight into the frustrations encountered by workers on one widely used crowdsourcing site: Amazon's MTurk. Some of these frustrations stem from inherent limitations of the MTurk platform and cannot easily be addressed by researchers. Many others, however, concern factors that are directly controllable by researchers and that may also be relevant for researchers using other crowdsourcing platforms such as Prolific or CrowdFlower. Based on participants' accounts of their experiences as crowdsource workers, we offer recommendations researchers might consider as they seek to design online studies that demonstrate consideration for respondents and respect for their time, effort, and dignity.

Digital Methods in the Promotion of Well-Being in Immigrants: A Systematic Review : Author Note

Migration is a disruptive experience that undermines immigrants' well-being. This systematic review explores the diversity of digital methods available to promote their well-being. The review includes 13 studies (6 were RCTs), comprising 8181 participants, collected through EBSCOhost web, b-ON, Scopus, SciELO and ProQuest, with no time restriction (to access all available literature). Primary outcomes were well-being (mental health; quality of life), and the secondary were stigma, integration and connection. Study quality was assessed by the QuADS tool. Digital methods are a valuable tool for improving immigrants' well-being. M-integration methods tend to focus on promoting mental health in immigrants, developing individual resilience while participatory methods address the quality of life in refugees, contributing to social resilience. Digital methods must not only be part of the guidelines of interventions for immigrants and refugees but also be a foundation upon which those guidelines are outlined.

Implementing a digital patient feedback system: an analysis using normalisation process theory

BACKGROUND

Patient feedback in the English NHS is now widespread and digital methods are increasingly used. Adoption of digital methods depends on socio-technical and contextual factors, alongside human agency and lived experience. Moreover, the introduction of these methods may be perceived as disruptive of organisational and clinical routines. The focus of this paper is on the implementation of a particular digital feedback intervention that was co-designed with health professionals and patients (the DEPEND study).

METHODS

The digital feedback intervention was conceptualised as a complex intervention and thus the study focused on the contexts within which it operated, and how the different participants made sense of the intervention and engaged with it (or not). Four health care sites were studied: an acute setting, a mental health setting, and two general practices. Qualitative data was collected through interviews and focus groups with professionals, patients and carers. In total 51 staff, 24 patients and 8 carers were included. Forty-two observations of the use of the digital feedback system were carried out in the four settings. Data analysis was based on modified grounded theory and Normalisation Process Theory (NPT) formed the conceptual framework.

RESULTS

Digital feedback made sense to health care staff as it was seen as attractive, fast to complete and easier to analyse. Patients had a range of views depending on their familiarity with the digital world. Patients mentioned barriers such as kiosk not being visible, privacy, lack of digital know-how, technical hitches with the touchscreen. Collective action in maintaining participation again differed between sites because of workload pressure, perceptions of roles and responsibilities; and in the mental health site major organisational change was taking place. For mental health service users, their relationship with staff and their own health status determined their digital use.

CONCLUSION

The potential of digital feedback was recognised but implementation should take local contexts, different patient groups and organisational leadership into account. Patient involvement in change and adaptation of the intervention was important in enhancing the embedding of digital methods in routine feedback. NPT allowed for a in-depth understanding of actions and interactions of both staff and patients.

Tracing medicinal agencies: Antidepressants and life-effects

This article is inspired by the social life of methods approach, joining a movement among social scientists engaging with 'big data' to contribute to methodological innovation and conceptual development in research and knowledge translation. It explores human-drug associations using a computational tool, Medicine Radar, meanwhile raising questions about the ways a digital device pushes us to rethink how drugs are known in the everyday. Medicine Radar is an apparatus for exploring human-drug associations by means of Suomi24 (Finland24) data, containing 19 million health-related online posts spanning a period of 16 years. Using defined markers, Medicine Radar sorts the medicine talk in health-related discussions, thereby assisting us to 'see' the actions of the drug and human responses to them. This kind of approach distances the drug from the illness experience, drawing attention to the private details of the human-drug relationship. The empirical analysis separates three areas of antidepressant use: articulations of reactions, stabilizing the life effects of drugs and coming to terms with antidepressants. Together, the online posts urge us to think of everyday experience where the effects of drugs - intended or unintended - are always lived. The side effects of antidepressants, including drowsiness, ravenous hunger, loss of sexual desire and emotional numbness, become life effects. As will be demonstrated, the move from conceptualizing such fallout as side effects to understanding them as life effects has political ramifications. The computation tool adds collective weight to antidepressant experiences and calls for politicizing their effects on life.