We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual underpinnings, in (...) order to help emphasise the relevant issues. To answer the question, we review a large number of empirical studies, in which samples of behaviour are used to automatically infer a range of psychological constructs, including affect and emotions, aptitudes and skills, attitudes and orientations (e.g. values and sexual orientation), personality, and disorders and conditions (e.g. depression and addiction). We also present a general perspective that can bring these disparate studies together and allow us to think clearly about their philosophical and ethical implications, such as issues related to consent, privacy, and the use of persuasive technologies for controlling human behaviour. (shrink)

Online research offers advantages including recruitment cost, diminished equity-related participation barriers, and convenience; however, there are growing concerns regarding fraudulent participation. Guidance to navigate these challenges exists for online research generally (e.g. surveys), but remains sparse for the specific challenge of fraudulent participation within virtual synchronous interviews. No work has explored this topic within an explicit, detailed ethical framework. Reflecting on our experiences navigating fraudulent participation in virtual synchronous research, we address this gap using the Canadian Code of Ethics for (...) Psychologists as a guiding framework to describe challenges, explore ethical considerations, and identify potential solutions and research directions. (shrink)

Despite advancements in human research ethics and the growing significance of Research Ethics Board (REB) members, educational opportunities specifically tailored to their needs remain lacking in many countries. In response to this gap, our research aims to understand the demographics, needs, and preferences for educational opportunities of REB members in Canada. We conducted a survey that found REB demographics to be diverse and have different perceptions of their roles on topics such as the evaluation of the scientific merit of studies (...) and responsibilities to stakeholders. We found that REB members in general prefer online tutorials and webinars for their education. Educators interested in facilitating the development of future training programs should consider the needs and preferences of REB members outlined in this publication. (shrink)

Background Licensed nurses working in long-term care facilities experience ethical challenges if not resolved can lead to moral distress. There is a lack of an English-language validated tool to adequately measure moral distress in the long-term care setting. Aims To describe the modification and psychometric evaluation of the Moral Distress Questionnaire. Methods Instrument development and psychometric evaluation. Internal consistency using Cronbach’s α to establish reliability was conducted using SPSS version 27.0 while SPSS Amos version 27.0 was used to perform a (...) confirmatory factor analysis of the Moral Distress Questionnaire Participants A national sample of US-licensed nurses who provided direct resident care in long-term care settings were recruited via a targeted sampling method using Facebook from 7 December 2020 to 7 March 2021. Ethical Consideration The study was approved by the university’s human research protection program. Informed consent was provided to all participants. Results A total of 215 participants completed the surveys. Confirmatory analysis indicated that the 21-item scale with a 4-factor structure for the Moral Distress Questionnaire model met the established criteria and demonstrates an acceptable model fit (CMIN/DF = 2.0, CFI = 0.82, TLI = 0.77, RMSEA = 0.07). Factor loadings for each item depict a moderate to a strong relationship (range 0.36–0.70) with the given underlying construct. Cronbach’s α coefficient was 0.87 for the overall scale and 0.60–0.74 for its subscales which demonstrate good reliabilities. Discussion This is the first English-language validated tool to adequately measure moral distress in the long-term care setting experienced by US long-term care nurses. This reliable and well-validated tool will help identify moral distress situations experienced by US long-term care nurses. Conclusion The modified 21-item English version of the Moral Distress Questionnaire is reliable tool that demonstrates good psychometric properties to validly measure sources of moral distress among direct resident care nurses. (shrink)

Nation-wide community quarantines and social distancing are part of the new normal because of the global COVID-19 pandemic. Since extensive and prolonged lockdowns are relatively novel experiences, not much is known about the well-being of individuals in such extreme situations. This research effort investigated the relationship between well-being elements and resiliency of 533 Filipino adults who were placed under the nationwide enhanced community quarantine during the COVID-19 pandemic. Participants comprised of 376 females and 157 males. The median and mode ages (...) of the participants is 23 years, while 25 is the mean age. PERMA Profiler was used to measure participants’ well-being elements, while Connor-Davidson Resiliency Scale-10 was used to measure their resiliency. Collected data were analyzed using the regression model and necessary condition analysis. This study corroborated that all the five pillars of well-being are significant positive correlates of resiliency in quarantined adults. The results shown accomplishment positively predicts resiliency, while negative emotions negatively predict resiliency. Lastly, the five pillars of well-being are necessary-but-not-sufficient conditions of resiliency. Our results cast a new light on well-being elements as constraints rather than enablers of resiliency. This novel result shows that optimum resiliency is only possible when all the five pillars of well-being are taken care of and when a person is at least minimally contented with their physical health. The present findings underscore the importance of a holistic as against an atomistic approach to maintaining good mental health, which suggests that deficiencies in certain areas of well-being may not be fully addressed by overcompensating on other areas, as all five pillars of well-being are necessary-but-not-sufficient conditions of resiliency. The study ends with the recommendation for the use of necessary condition analysis to study both classical and novel psychological research problems. (shrink)

The pathogen-prevalence hypothesis postulates that collectivism would be strengthened in the long term in tandem with recurrent attacks of infectious diseases. However, it is unclear whether a one-time pathogen epidemic would elevate collectivism. The outbreak of COVID-19 and the widespread prevalence of online social networks have provided researchers an opportunity to explore this issue. This study sampled and analyzed the posts of 126,165 active users on Weibo, a leading Chinese online social network. It used independent-sample t-tests to examine whether COVID-19 (...) had an impact on Chinese collectivistic value-related behaviors by comparing the usage frequency of personal pronouns, group-related words, and relationship-related words before and after the outbreak. Overall, most collectivist words exhibited a significant upward trend after the outbreak. In turn, this tendency pointed to a rising sense of collectivism. Hence, this study confirmed the pathogen-prevalence hypothesis in real settings, finding that an outbreak of an infectious disease such as COVID-19 could exert an impact on collectivism and may deliver a theoretical basis for psychological protection against the threat of COVID-19. However, further evaluation is required to ascertain whether this trend is universal or culture-specific. (shrink)

Certain research strands can yield “forbidden knowledge”. This term refers to knowledge that is considered too sensitive, dangerous or taboo to be produced or shared. Discourses about such publication restrictions are already entrenched in scientific fields like IT security, synthetic biology or nuclear physics research. This paper makes the case for transferring this discourse to machine learning research. Some machine learning applications can very easily be misused and unfold harmful consequences, for instance, with regard to generative video or text synthesis, (...) personality analysis, behavior manipulation, software vulnerability detection and the like. Up till now, the machine learning research community embraces the idea of open access. However, this is opposed to precautionary efforts to prevent the malicious use of machine learning applications. Information about or from such applications may, if improperly disclosed, cause harm to people, organizations or whole societies. Hence, the goal of this work is to outline deliberations on how to deal with questions concerning the dissemination of such information. It proposes a tentative ethical framework for the machine learning community on how to deal with forbidden knowledge and dual-use applications. (shrink)

We report three studies in which we applied a value dictionary to narratives. Our objective was to test a theory-driven value dictionary for extracting valuable information from autobiographical and narrative texts. In Studies 1 and 2, participants wrote short autobiographical narratives and in Study 3, participants wrote narratives based on ambiguous stimuli. Participants in all three studies also completed the Portrait Value Questionnaire as a self-report measure of values. Overall, our results demonstrate that it is possible to extract value-relevant information (...) from these narratives. Extracted values from autobiographical narratives showed average correlations of 0.07 and 0.12 with self-reports compared to an average correlation of 0.01 for the extracted values from implicit motive tasks. The correlations with self-reports were in line with previous validation studies. The most salient values in narratives diverged somewhat, with a stronger emphasis on achievement values compared to self-reports, probably due to the nature of salient episodes within one's life that require demonstrating success according to social standards. Benevolence values were consistently most important in both self-ratings and text-based scoring. The value structure emerging from narratives diverged from the theoretically predicted structure, yet broad personally vs. socially focused value dimensions were qualitatively discernible. We highlight opportunities and challenges for future value research using autobiographical stories. (shrink)

ABSTRACT Online research has become a critical recruitment modality for understanding and reducing health disparities among hidden populations most at risk for HIV infection. There is a lack of consensus and guidelines for the responsible conduct of online recruitment for HIV risk populations. Using semi-structured phone interviews, this study drew on the experiences of principal investigators engaged in online HIV research to illuminate scientific and ethical benefits and challenges of social media recruitment. Using Thematic Analysis five major themes emerged: sampling (...) advantages and disadvantages; challenges of data integrity; control of privacy protections; researcher competence and responsibility; and resources. (shrink)