Artificial Intelligence, Social Media and Depression. ‘Patient’ Autonomy Revisited

2021 ◽  
Vol 66 (Special Issue) ◽  
pp. 133-133
Author(s):  
Regina Mueller ◽  
◽  
Sebastian Laacke ◽  
Georg Schomerus ◽  
Sabine Salloch ◽  
...  

"Artificial Intelligence (AI) systems are increasingly being developed and various applications are already used in medical practice. This development promises improvements in prediction, diagnostics and treatment decisions. As one example, in the field of psychiatry, AI systems can already successfully detect markers of mental disorders such as depression. By using data from social media (e.g. Instagram or Twitter), users who are at risk of mental disorders can be identified. This potential of AI-based depression detectors (AIDD) opens chances, such as quick and inexpensive diagnoses, but also leads to ethical challenges especially regarding users’ autonomy. The focus of the presentation is on autonomy-related ethical implications of AI systems using social media data to identify users with a high risk of suffering from depression. First, technical examples and potential usage scenarios of AIDD are introduced. Second, it is demonstrated that the traditional concept of patient autonomy according to Beauchamp and Childress does not fully account for the ethical implications associated with AIDD. Third, an extended concept of “Health-Related Digital Autonomy” (HRDA) is presented. Conceptual aspects and normative criteria of HRDA are discussed. As a result, HRDA covers the elusive area between social media users and patients. "

Author(s):  
David A. Craig

Social media have amplified and accelerated the ethical challenges that communicators, professional and otherwise, face worldwide. The work of ethical journalism, with a priority of truthful communication, offers a paradigm case for examining the broader challenges in the global social media network. The evolution of digital technologies and the attendant expansion of the communication network pose ethical difficulties for journalists connected with increased speed and volume of information, a diminished place in the network, and the cross-border nature of information flow. These challenges are exacerbated by intentional manipulation of social media, human-run or automated, in many countries including internal suppression by authoritarian regimes and foreign influence operations to spread misinformation. In addition, structural characteristics of social media platforms’ filtering and recommending algorithms pose ethical challenges for journalism and its role in fostering public discourse on social and political issues, although a number of studies have called aspects of the “filter bubble” hypothesis into question. Research in multiple countries, mostly in North America and Europe, has examined social media practices in journalism, including two issues central to social media ethics—verification and transparency—but ethical implications have seldom been discussed explicitly in the context of ethical theory. Since the 1980s and 1990s, scholarship focused on normative theorizing in relation to journalism has matured and become more multicultural and global. Scholars have articulated a number of ethical frameworks that could deepen analysis of the challenges of social media in the practice of journalism. However, the explicit implications of these frameworks for social media have largely gone unaddressed. A large topic of discussion in media ethics theory has been the possibility of universal or common principles globally, including a broadening of discussion of moral universals or common ground in media ethics beyond Western perspectives that have historically dominated the scholarship. In order to advance media ethics scholarship in the 21st-century environment of globally networked communication, in which journalists work among a host of other actors (well-intentioned, ill-intentioned, and automated), it is important for researchers to apply existing media ethics frameworks to social media practices. This application needs to address the challenges that social media create when crossing cultures, the common difficulties they pose worldwide for journalistic verification practices, and the responsibility of journalists for countering misinformation from malicious actors. It is also important to the further development of media ethics scholarship that future normative theorizing in the field—whether developing new frameworks or redeveloping current ones—consider journalistic responsibilities in relation to social media in the context of both the human and nonhuman actors in the communication network. The developing scholarly literature on the ethics of algorithms bears further attention from media ethics scholars for the ways it may provide perspectives that are complementary to existing media ethics frameworks that have focused on human actors and organizations.


AI and Ethics ◽  
2021 ◽  
Author(s):  
Kamolov Sergei ◽  
Kriebitz Alexander ◽  
Eliseeva Polina ◽  
Aleksandrov Nikita

AbstractThe discourse on the ethics of artificial intelligence (AI) has generated a plethora of different conventions, principles and guidelines outlining an ethical perspective on the use and research of AI. However, when it comes to breaking down general implications to specific use cases, existent frameworks have been remaining vague. The following paper aims to fill this gap by examining the ethical implications of the use of information analytical systems through a management approach for filtering the content in social media and preventing information thrusts with negative consequences for human beings and public administration. The ethical dimensions of AI technologies are revealed through deduction of general challenges of digital governance to applied level management technics.


2019 ◽  
Vol 5 ◽  
pp. 205520761882152 ◽  
Author(s):  
Roel O Lutkenhaus ◽  
Jeroen Jansz ◽  
Martine PA Bouman

In today’s media landscape, audiences increasingly turn to online communities for media consumption and to exchange information about specific niche interests such as health-related topics. This calls for a segmented approach in which interventions are targeted at online communities, tailored to their specific cultures and health-related perceptions, and leverage the dynamics of conversation and social influence in online networks. Strategies drawn from the field of influencer marketing provide interesting opportunities to reach and engage with audiences in a personally relevant manner, including with those who may disagree with an intervention’s message. This article reflects on what health communicators might learn from influencer strategies and proposes digital methods to target and tailor health communication in the digital era. More concretely, we present methods to: (a) identify online communities engaging on a specific health issue; (b) map community specific cultures and health-related perceptions; and (c) identify influencers as potential collaboration partners. As such, we adopt a slightly different take on tailoring by putting the creative and cultural competences of social influencers central, and by aligning our methods with a media mapping protocol to create influencer strategies that are tailored to the cultures and health-related perceptions of multiple online audience segments. We illustrate the potential of these methods with a study of how vaccination is discussed among Dutch Twitter users.


2022 ◽  
Vol 8 ◽  
Author(s):  
Antonio Oliva ◽  
Simone Grassi ◽  
Giuseppe Vetrugno ◽  
Riccardo Rossi ◽  
Gabriele Della Morte ◽  
...  

Artificial intelligence needs big data to develop reliable predictions. Therefore, storing and processing health data is essential for the new diagnostic and decisional technologies but, at the same time, represents a risk for privacy protection. This scoping review is aimed at underlying the medico-legal and ethical implications of the main artificial intelligence applications to healthcare, also focusing on the issues of the COVID-19 era. Starting from a summary of the United States (US) and European Union (EU) regulatory frameworks, the current medico-legal and ethical challenges are discussed in general terms before focusing on the specific issues regarding informed consent, medical malpractice/cognitive biases, automation and interconnectedness of medical devices, diagnostic algorithms and telemedicine. We aim at underlying that education of physicians on the management of this (new) kind of clinical risks can enhance compliance with regulations and avoid legal risks for the healthcare professionals and institutions.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4469-4469 ◽  
Author(s):  
Saurabh Dahiya ◽  
Ankit J. Kansagra ◽  
Syed S. Ali

Abstract Background: The use of social media is expanding in medicine. More and more healthcare professionals, patients and advocates are using social media as a common platform to enhance communication. Methods: Each year American Society of Hematology (ASH) creates a hashtag (#) followed by year of the annual meeting (e.g. ASH 2014 had this hashtag: #ASH14) on Twitter. We conducted a retrospective study of annual meeting's hashtag use on Twitter for past 4 annual meetings using data from Symplur, LLC. Symplur is an online forum offering analytics of the global Twitter based conversations. Following hashtags were used for analysis, #ASH11, #ASH12, #ASH13 and #ASH14. Results: Overall there is an increasing trend for use of annual meeting's hashtag (see table 1). Last year's meeting generated over 72 million impressions. Number of tweets being sent out is doubling every year. More twitter users are engaging in conversations than the year before using annual meeting's hashtag. Last year almost 4000 individual twitter accounts were used during the annual meeting. Number of tweets per participant has stayed relatively constant over past four years. @ash_hematology remains the most commonly mentioned twitter handle every year since 2011. In 2014 itself, @ash_hematology was mentioned over 2000 times. Conclusion: Twitter is a very powerful tool that amplifies the content of scientific meetings. Use of twitter using meeting's hashtag is increasing every year at annual ASH meetings. This analysis provides a snapshot of twitter activity at the conference. Avenues for further research are: trend identification, "influencer" identification, and qualitative analysis. Interdisciplinary research should focus on evaluation methods that can assess the quality, value, and impact of tweeting. Table 1. Year Impressions Tweets Participants Average tweet per participant 2011 12,255,646 3123 606 5 2012 18,153,786 5,094 870 6 2013 30,018,580 12,233 1942 6 2014 72,433,270 24,185 3977 6 Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Angela Leis ◽  
Francesco Ronzano ◽  
Miguel A. Mayer ◽  
Laura I. Furlong ◽  
Ferran Sanz

BACKGROUND Mental disorders have become a major concern in public health and are one of the main causes of the overall disease burden worldwide. Social media platforms allow us to observe the activities, thoughts and feelings of people’s daily lives, including those of patients suffering from mental disorders. There are studies that have analyzed the influence of mental disorders, including depression, in the behavior of social media users, but they have been usually focused on messages written in English. OBJECTIVE The aim of this study is to identify the linguistic features of tweets in Spanish and the behavioral patterns of Twitter users that generate them, which could suggest signs of depression. METHODS This study was developed in two steps. In the first step, the selection of users and the compilation of tweets were performed. Three datasets of tweets were created, a depressive users dataset (made up of the timeline of 90 users who explicitly mention that they suffer from depression), a depressive tweets dataset (a manually curated selection of tweets from the previous users that include expressions indicative of depression) and a control dataset (made up of the timeline of 450 randomly selected users). In the second step, the comparison and analysis of the three datasets of tweets were carried out. RESULTS In comparison to the control dataset, the depressive users are less active in posting tweets, doing it more frequently between 23:00 and 6:00 (P<.001). The percentage of nouns used by the control dataset almost doubles that of the depressive users (P<.001). By contrast, the use of verbs is more common in the depressive users dataset (P<.001). The first-person singular pronoun was by far the most used in the depressive users dataset (80%) and the first and the second person plural were the less frequent (0.4% in both cases), being this distribution different to that of the control dataset (P<.001). Sadness and anger emotions were the most common in the depressive users and depressive tweets datasets with significant differences when comparing these datasets with the control one (P<.001). As for negation words, they were detected in the 34% and 46% of the tweets in the depressive users and depressive tweets respectively, which are significantly different to the control dataset (P<.001). Negative polarity was more frequent in the depressive users (54%) and depressive tweets (65%) datasets than in the control one (43.5%) (P<.001). CONCLUSIONS Twitter users who are potentially suffering from depression modify the general characteristics of their language and the way they interact on social media. Based on these changes these users can be monitored and supported, thus introducing new opportunities for the study of depression and for providing additional healthcare services to people with this disorder.


2017 ◽  
Vol 12 (3) ◽  
pp. 162
Author(s):  
Elizabeth Margaret Stovold

A Review of: Swab, M., & Romme, K. (2016). Scholarly sharing via Twitter: #icanhazpdf requests for health sciences literature. Journal of the Canadian Health Libraries Association, 37(1), 6-11. http://dx.doi.org/10.5596/c16-009 Abstract Objective – To analyze article sharing requests for health sciences literature on Twitter, received through the #icanhazpdf protocol. Design – Social media content analysis. Setting – Twitter. Subjects – 302 tweets requesting health sciences articles with the #icanhazpdf tag. Methods – The authors used a subscription service called RowFeeder to collect public tweets posted with the hashtag #icanhazpdf between February and April 2015. Rowfeeder recorded the Twitter user name, location, date and time, URL, and content of the tweet. The authors excluded all retweets and then each reviewed one of two sets. They recorded the geographic region and affiliation of the requestor, whether the tweet was a request or comment, type of material requested, how the item was identified, and if the subject of the request was health or non-health. Health requests were further classified using the Scopus subject category of the journal. A journal could be classified with more than one category. Any uncertainties during the coding process were resolved by both authors reviewing the tweet and reaching a consensus. Main results – After excluding all the retweets and comments, 1079 tweets were coded as heath or non-health related. A final set of 302 health related requests were further analyzed. Almost all the requests were for journal articles (99%, n=300). The highest-ranking subject was medicine (64.9%, n=196), and the lowest was dentistry (0.3%, n=1). The most common article identifier was a link to the publisher’s website (50%, n=152), followed by a link to the PubMed record (22%, n=67). Articles were also identified by citation information (11%, n=32), DOI (5%, n=14), a direct request to an individual (3%, n=9), another method (2%, n=6), or multiple identifiers (7%, n=22). The majority of requests originated from the UK and Ireland (29.1%, n=88), the United States (26.5%, n=80), and the rest of Europe (19.2%, n=58. Many requests came from people with affiliations to an academic institution (45%, n=136). These included librarians (3.3%, n=10), students (13.6%, n=41), and academics (28.1%, n=85). When tweets of unknown affiliation were excluded (n=117), over 70% of the requests were from people with academic links. Other requesters included journalists, clinicians, non-profit organisations, patients, and industry employees. The authors examined comments in the tweets to gain some understanding of the reasons for seeking articles through #icanhazpdf, although this was not the primary focus of their study. A preliminary examination of the comments suggested that users value the ease, convenience, and the ability to connect with other researchers that social media offers. Conclusion – The authors concluded that the number of requests for health sciences literature through this channel is modest, but health librarians should be aware of #icanhazpdf as another method through which their users might seek to obtain articles. The authors recommend further research into the reasons why users sometimes choose social media over the library to obtain articles.


Author(s):  
Rickard Grassman ◽  
Vanessa Bracamonte ◽  
Matthew Davis ◽  
Maki Sato

AbstractIn this paper, we explore how cryptocurrencies have been received in Sweden and Japan, and what specific attitudes and discourses may reveal about the ethical implications surrounding this new technology. By way of topic modelling prevalent discourses on social media among users of cryptocurrencies, and teasing out the more culturally situated significance in such interactions through discourse analysis, our aim is to unpack the way certain tropes and traces around the notion of autonomy may provide a fruitful lens through which we may discern how this technology has been received in each respective country. The ultimate aim of the paper is to shed light on the attitudes that inform the way this technology is perceived and the cultural and ideological nuances that this brings to the fore, as well as how this culturally nuanced view may help us better discern the potential advantages and ethical challenges associated with this new technology.


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