ArticleSocial and personality psychology compass2021
Exploring the impact of COVID-19 on mobile dating: Critical avenues for research.
Article in Social and personality psychology compass, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Article
- Are Dating App Algorithms Making Men Lonely and Does This Present a Public Health Concern?JMIR formative research · 2025Article
- Article
- Dating apps as health allies? Examining the opportunities and challenges of dating apps as partners in public health.Medical humanities · 2024Article
- HIV Risk Behaviors and the Use of Geosocial Networking Dating Apps among Men Who have Sex with Men and Transgender Women in Lima, Peru: a Cross-Sectional Study.AIDS and behavior · 2024Article
- The Translation and Preliminary Psychometric Validation of the Ghosting Questionnaire in Urdu.European journal of investigation in health, psychology and education · 2024Article
- How did COVID-19 pandemic affect the older adults' needs for robot technologies in Japan?: comparison of participatory design workshops duringFrontiers in robotics and AI · 2024Article
- Workplace infection control measures and romantic activities of workers during COVID-19 pandemic: A prospective cohort study in Japan.Frontiers in public health · 2023Article
- Exploring the impact of COVID-19 on mobile dating: Critical avenues for research.Social and personality psychology compass · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this digitally mediated world, initiating sexual or romantic intimacy now frequently occurs on mobile dating apps, which both requires people to navigate new technologies, but also enables them to explore different possibilities for intimacy. The opportunities that mobile dating holds for creating intimacy, and how people take these up, is particularly relevant in light of the global pandemic of COVID-19, when human connection and contact are entangled with varying worries about viral contamination, risk and future uncertainty. But how does the pandemic impact on mobile dating? How are affect and risk intertwined-or even negotiated-by people in their search for intimacy in this pandemic? What possibilities do mobile dating apps hold for people in their search for connection with others? In this commentary, I provide a brief overview of how risk has been examined previously in mobile dating research and explore what future directions could be taken in this field. I argue for research that acknowledges and prioritises: the plurality of people's sociomaterial conditions; the interrelationship between people, digital technologies and COVID-19; and the discursive context that furnishes people's sense of risk and emotional possibility across different sociocultural contexts. These new directions in the field offer opportunities to conduct critical research that is responsive to this dynamic context, and that illuminates the various ways that people are navigating intimacy, risk and emotion across different living conditions during this pandemic.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.