Introduction: Probing the System: Feminist Complications of Automated Technologies, Flows, and Practices of Everyday Life

This Special Section presents diverse scholarly voices examining the silenced, underexposed, intersectional forces that fortify science and technology platforms in their work to automate public abidance. The articles probe, from diverse global locations and perspectives, the contemporary work of various “platforms,” understood broadly as technology and software, health, social media, and policy platforms. The articles probe these systems and platforms with attention to the assumptions and practices embedded in their algorithms, protocols, design specifications, and communications, and, in turn, the political, cultural, governance, and mediated practices they make possible. The research studies and practice-based work herein expose the complex and shifting sociopolitical codes and contexts that condition technology, artificial intelligence (AI), surveillance, health, social media, and state platforms that support systems of care, news, communication, and governance. These exposures show how platform craftiness works differently in different spaces to privilege and damage, often with ghostly obscurity. Attentive to how platforms operate in complex contemporary viral modes, the section seeks to locate and expose these traces, draped in what communication scholars Sangeet Kumar and Radhika Parameswaran (2018, 345) refer to as “chameleon cultural codes” that, in changing and transforming into unrecognizable forms, feed global imaginaries.

Sex Must Be Voluntary: Sexual Communication and the New Definition of Rape in Sweden

Many countries are in the process of replacing outdated sex offense regulations with laws that accurately correspond to late modern ideas about gender equality, sexual self-determination, and consensual sex. One example is Sweden, where a law that defines rape based on a criterion of nonvoluntary participation entered into force in 2018. This article analyzes the representation of rape in the new law and legal discourse in Sweden, and shows that rape is represented as a matter of choice and communication in sexual situations. Further, the new rape law is coupled to an emerging problem within such disparate spheres as public health, social media campaigns, sexual education, and gender studies; namely, the problem of sexual communication and gray zones in sexual encounters. To understand this new representation of rape, further exploration is suggested both into the effects of sexual violence being framed as a matter of individual choice, consent, and communication in late modernity and into the role of criminal law in the era of thin normativity. The article concludes that the new rape law sends a clear message about what sex should be—namely, something voluntary—but does not accurately describe the crime and the conduct that deserves criminal censure.

Studying Unemployment Effects on Mental Health: Social Media versus Traditional Approach

Social media, traditionally reserved for social exchanges on the net, has been increasingly used by researchers to gain insight into different facets of human life. Unemployment is an area that has gained attention by researchers in various fields. Medical practitioners especially in the area of mental health have traditionally monitored the effects of involuntary unemployment with great interest. In this work, we compare the feedback gathered from social media using crowdsourcing techniques to results obtained prior to the advent of Big Data. We find that the results are consistent in terms of 1) financial strain is the biggest stressor and concern, 2) onslaught of depression is typical and 3) possible interventions including reemployment and support from friends and family is crucial in minimizing the effects of involuntary unemployment. Lastly, we could not find enough evidence to study effects on physical health and somatization in this work.

Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers

The coronavirus disease (COVID-19) pandemic has created an urgent need for coordinated mechanisms to respond to the outbreak across health sectors, and digital health solutions have been identified as promising approaches to address this challenge. This editorial discusses the current situation regarding digital health solutions to fight COVID-19 as well as the challenges and ethical hurdles to broad and long-term implementation of these solutions. To decrease the risk of infection, telemedicine has been used as a successful health care model in both emergency and primary care. Official communication plans should promote facile and diverse channels to inform people about the pandemic and to avoid rumors and reduce threats to public health. Social media platforms such as Twitter and Google Trends analyses are highly beneficial to model pandemic trends as well as to monitor the evolution of patients’ symptoms or public reaction to the pandemic over time. However, acceptability of digital solutions may face challenges due to potential conflicts with users’ cultural, moral, and religious backgrounds. Digital tools can provide collective public health benefits; however, they may be intrusive and can erode individual freedoms or leave vulnerable populations behind. The COVID-19 pandemic has demonstrated the strong potential of various digital health solutions that have been tested during the crisis. More concerted measures should be implemented to ensure that future digital health initiatives will have a greater impact on the epidemic and meet the most strategic needs to ease the life of people who are at the forefront of the crisis.

Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers (Preprint)

UNSTRUCTURED The coronavirus disease (COVID-19) pandemic has created an urgent need for coordinated mechanisms to respond to the outbreak across health sectors, and digital health solutions have been identified as promising approaches to address this challenge. This editorial discusses the current situation regarding digital health solutions to fight COVID-19 as well as the challenges and ethical hurdles to broad and long-term implementation of these solutions. To decrease the risk of infection, telemedicine has been used as a successful health care model in both emergency and primary care. Official communication plans should promote facile and diverse channels to inform people about the pandemic and to avoid rumors and reduce threats to public health. Social media platforms such as Twitter and Google Trends analyses are highly beneficial to model pandemic trends as well as to monitor the evolution of patients’ symptoms or public reaction to the pandemic over time. However, acceptability of digital solutions may face challenges due to potential conflicts with users’ cultural, moral, and religious backgrounds. Digital tools can provide collective public health benefits; however, they may be intrusive and can erode individual freedoms or leave vulnerable populations behind. The COVID-19 pandemic has demonstrated the strong potential of various digital health solutions that have been tested during the crisis. More concerted measures should be implemented to ensure that future digital health initiatives will have a greater impact on the epidemic and meet the most strategic needs to ease the life of people who are at the forefront of the crisis.

Long story short: finding health advice with informative summaries on health social media

Purpose Whether automatically generated summaries of health social media can aid users in managing their diseases appropriately is an important question. The purpose of this paper is to introduce a novel text summarization approach for acquiring the most informative summaries from online patient posts accurately and effectively. Design/methodology/approach The data set regarding diabetes and HIV posts was, respectively, collected from two online disease forums. The proposed summarizer is based on the graph-based method to generate summaries by considering social network features, text sentiment and sentence features. Representative health-related summaries were identified and summarization performance as well as user judgments were analyzed. Findings The findings show that awarding sentences without using all the incorporating features decreases summarization performance compared with the classic summarization method and comparison approaches. The proposed summarizer significantly outperformed the comparison baseline. Originality/value This study contributes to the literature on health knowledge management by analyzing patients’ experiences and opinions through the health summarization model. The research additionally develops a new mindset to design abstractive summarization weighting schemes from the health user-generated content.