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Towards Conviviality in NavigatingHealth Information on Social Media
... Symbiosis went further, empowering humans to resist their dystopic society by creating and inhabiting their own alternative experiences. The role of technology in these utopias aligns with the concept of conviviality [43] as used within HCI [24,44]. Conviviality emphasizes autonomous and creative relationships between people and their environments through empowering, simple, and locally accessible tools [18,24,43,44]. ...
... The role of technology in these utopias aligns with the concept of conviviality [43] as used within HCI [24,44]. Conviviality emphasizes autonomous and creative relationships between people and their environments through empowering, simple, and locally accessible tools [18,24,43,44]. Within the group, discussing this role led to two coexisting views on the role of us researchers. ...
... emotions, perceptions and cognition), limiting human autonomy and serving capitalist agendas. Conversely, utopias like ConnectingBodies and Symbiosis saw technology as enhancing personal agency, empowering individuals to shape their own experiences in a convivial way [24,43,44]. In some cases, the integration of technology and the human body was almost inseparable, such as EpiSense's second skins and MindHarmony's neural implant, where human and technology acted as a joint entity for most of the time. ...
Body perception transformation technologies augment or alter our own body perception outside of our usual bodily experience. As emerging technologies, research on these technologies is limited to proofs-of-concept and lab studies. Consequently, their potential impact on the way we perceive and experience our bodies in everyday contexts is not yet well understood. Through a speculative design inquiry, our multidisciplinary team envisioned utopian and dystopian technology visions. We surfaced potential roles, goals and values that current and future body perception transformation technologies could incorporate, including non-utilitarian purposes. We contribute insights on such roles, goals and values to inspire current and future work. We also present three provocations to stimulate discussions. Finally, we contribute methodologically with insights into the value of speculative design as a fruitful approach for articulating and bridging diverse perspectives in multidisciplinary teams.
... To construct the posts for the two test groups, three researchers with interdisciplinary expertise in HCI and healthcare collected authentic user contributions from communities dedicated to ADHD on Reddit 1 , Twitter 2 , and Facebook 3 . We selected these platforms because they are widely recognized within the HCI community as popular, open social media spaces for accessing and sharing health-related information [35]. To query for posts related to adult ADHD and its subtopics, we used specific keywords including: adult attention deficit hyperactivity disorder, adult ADHD, adult ADHD diagnosis, adult ADHD medication, inattention disorder, hyperactivity disorder, oppositional defiant behavior, etc. ...
People frequently exposed to health information on social media tend to overestimate their symptoms during online self-diagnosis due to availability bias. This may lead to incorrect self-medication and place additional burdens on healthcare providers to correct patients' misconceptions. In this work, we conducted two mixed-method studies to identify design goals for mitigating availability bias in online self-diagnosis. We investigated factors that distort self-assessment of symptoms after exposure to social media. We found that availability bias is pronounced when social media content resonated with individuals, making them disregard their own evidences. To address this, we developed and evaluated three chatbot-based symptom checkers designed to foster evidence-based self-reflection for bias mitigation given their potential to encourage thoughtful responses. Results showed that chatbot-based symptom checkers with cognitive intervention strategies mitigated the impact of availability bias in online self-diagnosis.
... In addition, there have been increasing efforts to expand the populations covered by research in Human-Computer Interaction (HCI) [74,115] in response to the recognition that HCI inquiry is primarily based in WEIRD (White Educated Individualistic Rich Democratic) populations. Over the past few years, research on the practices and difficulties of non-WEIRD populations has expanded to include numerous interview studies (e.g., studying encounters with COVID misinformation among Indian ICT users [65,120]). Even so, the majority of HCI studies of non-WEIRD populations examine ICT use by individuals who are members of the majority population in the respective locales. ...
Online misinformation about Islam and Muslims has increasingly become a weapon in the arsenal of Islamophobia. Such content typically aims to marginalize and disempower Muslims and sow animosity between them and non-Muslims. However, there has not yet been an investigation of the impact of such targeted misinformation on the online practices of Muslims. Through semi-structured interviews with 19 Muslim participants from diverse backgrounds, we sought to understand how Muslims in the United States navigate and use the very online spaces that are leveraged to spread misinformation targeted at them. Our findings provide a nuanced understanding of how targeted misinformation subjects Muslims to misperceptions from non-Muslims and has the harmful effect of leaving Muslims exhausted and disempowered by the futility of their attempts to correct the misperceptions. In addition, we identify forces that drive Muslims to act or retreat in their online practices in response to being targeted by misinformation. These findings can be useful to industry, civil society organizations, and policymakers in order to curb injustices related to Islamic misinformation.
Displaying community fact-checks is a promising approach to reduce engagement with misinformation on social media. However, how users respond to misleading content emotionally after community fact-checks are displayed on posts is unclear. Here, we employ quasi-experimental methods to causally analyze changes in sentiments and (moral) emotions in replies to misleading posts following the display of community fact-checks. Our evaluation is based on a large-scale panel dataset comprising N=2,225,260 replies across 1841 source posts from X's Community Notes platform. We find that informing users about falsehoods through community fact-checks significantly increases negativity (by 7.3%), anger (by 13.2%), disgust (by 4.7%), and moral outrage (by 16.0%) in the corresponding replies. These results indicate that users perceive spreading misinformation as a violation of social norms and that those who spread misinformation should expect negative reactions once their content is debunked. We derive important implications for the design of community-based fact-checking systems.
Social media platforms have witnessed an unprecedented growth in users from rural communities in India. Many of these users are new to online information environments and are highly susceptible to misinformation. Fact-checking has the potential to reduce the proliferation and impact of misinformation; however, little is known about how fact-checking organizations in India serve rural users. To fill this gap, we conducted interviews with 12 prominent fact-checking organizations in India to understand their current practices and challenges in providing their services to rural users and the associated human and technological infrastructure they use. We discovered several measures that fact-checking organizations take to increase the reach, awareness, and relevance of fact-checked content for rural users, such as engaging with stringer networks and utilizing vernacular languages. However, fact-checking organizations also face severe challenges that limit both the scale of their work and engagement from rural users. Drawing on these findings, we provide design and policy recommendations to improve the reach, awareness, and relevance of fact-checked content for social media users in rural areas.
WhatsApp is the most popular communication application in many developing countries such as Brazil, India, and Mexico, where many people use it as an interface to the web. Due to its encrypted and peer-to-peer nature feature, it is hard for researchers to study which content people share through WhatsApp at scale. In this demo paper, we propose WhatsApp Monitor (http://www.whatsapp-monitor.dcc.ufmg.br/), a web-based system that helps researchers and journalists explore the nature of content shared on WhatsApp public groups from two different contexts: Brazil and India. Our tool monitors multiple content categories such as images, videos, audio, and textual messages posted on a set of WhatsApp groups and displays the most shared content per day. Our tool has been used for monitoring content during the 2018 Brazilian general election and was one of the major sources for estimating the spread of misinformation and helping fact-checking efforts.
Twitter and Facebook Silencing Voices of Kashmir.
With the aim of gathering information for an article (recently published in Brazil) about Sleeping Giants’ fight against the political economy of disinformation, Brazilian researchers Juliano Borges and Arthur Coelho Bezerra interviewed the co-creator of the SG movement in the United States, Nandini Jammi, on October 2020. In this interview, Jammi addresses programmatic advertising, discusses the tactic found by Sleeping Giants to demonetize uninformative sites and takes a position on the responsibility of platforms to contain hate speech and disinformation on the internet. She explains how the initiative begins by targeting the disinformation site Breitbart News, and evolves into a digital civic movement that now relies on the collaborative work of unknown volunteers, including spontaneous cell creation in countries like Canada, France and Brazil.
There has been a growing interest within CSCW community in understanding the characteristics of misinformation propagated through computational media, and the devising techniques to address the associated challenges. However, most work in this area has been concentrated on the cases in the western world leaving a major portion of this problem unaddressed that is situated in the Global South. This paper aims to broaden the scope of this discourse by focusing on this problem in the context of Bangladesh, a country in the Global South. The spread of misinformation on Facebook in Bangladesh, a country with a population of over 163 million, has resulted in chaos, hate attacks, and killings. By interviewing journalists, fact-checkers, in addition to surveying the general public, we analyzed the current state of verifying misinformation in Bangladesh. Our findings show that most people in the 'news audience' want the news media to verify the authenticity of online information that they see online. However, the newspaper journalists say that fact-checking online information is not a part of their job, and it is also beyond their capacity given the amount of information being published online every day. We further find that the voluntary fact-checkers in Bangladesh are not equipped with sufficient infrastructural support to fill in this gap. We show how our findings are connected to some of the core concerns of CSCW community around social media, collaboration, infrastructural politics, and information inequality. From our analysis, we also suggest several pathways to increase the impact of fact-checking efforts through collaboration, technology design, and infrastructure development.
The World Health Organization has declared that misinformation shared on social media about Covid-19 is an “infodemic” that must be fought alongside the pandemic itself. We reflect on how news literacy and science literacy can provide a foundation to combat misinformation about Covid-19 by giving social media users the tools to identify, consume, and share high-quality information. These skills can be put into practice to combat the infodemic by amplifying quality information and actively correcting misinformation seen on social media. We conclude by considering the extent to which what we know about these literacies and related behaviors can be extended to less-researched areas like the Global South.
In this paper we examine what 'data literacy'-under various definitions-means at a time of persistent distribution of 'dis-/mis-/mal-information' via digital media. The paper first explores the definition of literacies (written, media, information, digital and data literacies) considering the various parameters and considerations they have gone through. We then examine the intersection of dis-/mis-/mal-information and 'fake-news' and these literacies. The paper explores what types of literacies are needed today and the important role of variations in citizens' social context. We highlight three main gaps in current data literacy frameworks-1. going beyond the individual; 2. critical thinking of the online ecosystem; and 3. designing skills for proactive citizens. We discuss these gaps while highlighting how we integrated these into our survey of UK citizens' data literacies as part of our Nuffield Foundation funded project-Me and My Big Data. By discussing our theoretical and methodological challenges we aim to shed light on not only how the definition of data literacy changes but also how we can develop education programmes that take into account information distortions and put proactive citizens at the centre.
Identifying emerging health misinformation is a challenge because its manner and type are often unknown. However, many social media users correct misinformation when they encounter it. From this intuition, we implemented a strategy that detects emerging health misinformation by tracking replies that seem to provide accurate information. This strategy is more efficient than keyword-based search in identifying COVID-19 misinformation about antibiotics and a cure. It also reveals the extent to which misinformation has spread on social networks.
Search engines are the primary gateways of information. Yet, they do not take into account the credibility of search results. There is a growing concern that YouTube, the second largest search engine and the most popular video-sharing platform, has been promoting and recommending misinformative content for certain search topics. In this study, we audit YouTube to verify those claims. Our audit experiments investigate whether personalization (based on age, gender, geolocation, or watch history) contributes to amplifying misinformation. After shortlisting five popular topics known to contain misinformative content and compiling associated search queries representing them, we conduct two sets of audits-Search-and Watch-misinformative audits. Our audits resulted in a dataset of more than 56K videos compiled to link stance (whether promoting misinformation or not) with the personalization attribute audited. Our videos correspond to three major YouTube components: search results, Up-Next, and Top 5 recommendations. We find that demographics, such as, gender, age, and geolocation do not have a significant effect on amplifying misinformation in returned search results for users with brand new accounts. On the other hand, once a user develops a watch history, these attributes do affect the extent of misinformation recommended to them. Further analyses reveal a filter bubble effect, both in the Top 5 and Up-Next recommendations for all topics, except vaccine controversies; for these topics, watching videos that promote misinformation leads to more misinformative video recommendations. In conclusion, YouTube still has a long way to go to mitigate misinformation on its platform.
In the 2018 presidential election, Brazil elected a fringe congressman, Jair Bolsonaro, despite his radical rhetoric that would suffice to shake the public image of any candidate in the world and the lack of traditional resources of his campaign. One of the hypotheses for this electoral success is that his campaign built a specific communication strategy that used internet platforms to communicate directly with different groups of voters. We describe the Brazilian electoral scenario of 2018, focusing on the use of the messaging app WhatsApp. We discuss how Bolsonaro's campaign tapped into sentiments and perceptions spread by the legacy media, adding a stronger conservatism. We gather evidence of centralised management of WhatsApp chat groups by political actors that emerge from the work of computer scientists research, newspaper articles and our own ethnographic work. The radicalisation of Brazilian politics could be partially explained as an effect of the use of political micro-targeting in a highly concentrated news media ecosystem, and zero-rating policies that fuels WhatsApp popularity, a platform with affordances that favours the spread of misinformation.
Use of chatbots in different spheres of life is continuously increasing since a couple of years. We attempt to understand the potential of chatbots for breastfeeding education by conducting an Wizard-of-Oz experiment with 22 participants. Our participants included breastfeeding mothers and community health workers from the slum areas of Delhi, India.
We prototyped our chatbot as an interactive question-answering application and analyzed users' interaction patterns, perceptions, and contexts of use. The chatbot use cases emerged primarily as the first line of support. The participants, especially the mothers, were enthusiastic with the opportunity to ask questions and get reliable answers. We also observed the influencing role of female relative, e.g. mothers-in-law, in breastfeeding practices. Our analysis of user information-seeking suggests that a majority of questions (88%) are of nature that can be answered by a chatbot application. We further observe that the queries are embedded deeply into myths and existing belief systems. Therefore requiring the designers to focus on subtle aspects for providing information such as positive reinforcement and contextual sensitivity. Further, we discuss, different societal and ethical issues associated with Chatbot usage for a public health topic such as breastfeeding education.
Technology use in India is highly gendered across diverse socioeconomic backgrounds, and women have only recently come to widely adopt smartphones, mobile internet, and social media---even in urban India. We present an in-depth qualitative investigation of the appropriation of social computing technologies by women from urban, middle-income households in New Delhi and Bangalore, India. Our findings highlight the additional burden that these women must contend with, on account of gender, as they engage on social media. We discuss these findings to make three contributions. First, we extend conversations on gender in Human-Computer Interaction (HCI) by discussing how design in patriarchal contexts might be rooted in existing efforts towards change and appropriation. Second, we expand understandings of privacy in HCI as being situated in the relationship between the individual and the collective. Third, we discuss how looking at our participants' social media use across multiple platforms leads to greater insight into the link between social media engagement and privacy.
WhatsApp is the most popular communication application in many developing countries such as Brazil, India, and Mexico, where many people use it as an interface to the web. Due to its encrypted and peer-to-peer nature feature, it is hard for researchers to study which content people share through WhatsApp at scale. In this demo paper, we propose WhatsApp Monitor (http://www.whatsapp-monitor.dcc.ufmg.br/), a web-based system that helps researchers and journalists explore the nature of content shared on WhatsApp public groups from two different contexts: Brazil and India. Our tool monitors multiple content categories such as images, videos, audio, and textual messages posted on a set of WhatsApp groups and displays the most shared content per day. Our tool has been used for monitoring content during the 2018 Brazilian general election and was one of the major sources for estimating the spread of mis-information and helping fact-checking efforts.
This paper explores how nationalism in India is articulated through references to Ayurveda as opposed to institutionalized nonbiomedical pluralism in the form of AYUSH (Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homeopathy). It grapples with a tension between purportedly equal support for all AYUSH systems and privileged support for Ayurveda, situating this discrepancy within two competing ideologies of the nation: the ideology of inclusive secularism anchored in Nehruvian ideals of India's accommodativeness and unity in diversity, and the ideology of Hindu nationalism which promotes a distinctive image of India as a country with glorious but culturally monolithic past. Is Ayurveda the only 'Indian' medicine, or are all AYUSH traditions 'Indian' too? If Ayurveda can be promoted as national tradition, can Unani be also 'national?' By tracing these tropes in the narratives of AYUSH practitioners and public discourses circulated in media, this paper demonstrates the hegemony of Ayurveda within nonbiomedical plurality, and thus argues that state legitimation is not a sufficient factor to prevent from hierarchies and disparities across pluralistic medical landscape.
Although timely access to professional medical advice is crucial for patient health outcomes, traditional offline, one-on-one patient-provider interactions are time-consuming and costly. Online "Ask the doctor" (AtD) services have become increasingly popular, because they allow patients and caregivers to obtain advice from medical professionals at a lower information and transaction cost. In this paper, we present an empirical study of Fenda, an innovative AtD platform recently introduced in China through which patients and caregivers can consult a wide variety of healthcare professionals for a small fee. Using qualitative research methods, we analyzed how patients and caregivers interact with medical professionals on this platform, focusing on the nature of the questions asked and potential motivation for using the platform. Based on the results, we derived implications for designing better online AtD services connecting patients and caregivers to medical professionals.
Women in South Asian own fewer personal devices like laptops and phones than women elsewhere in the world. Further, cultural expectations dictate that they should share mobile phones with family members and that their digital activities be open to scrutiny by family members. In this paper, we report on a qualitative study conducted in India, Pakistan, and Bangladesh about how women perceive, manage, and control their personal privacy on shared phones. We describe a set of five performative practices our participants employed to maintain individuality and privacy, despite frequent borrowing and monitoring of their devices by family and social relations. These practices involved management of phone and app locks, content deletion, technology avoidance, and use of private modes. We present design opportunities for maintaining privacy on shared devices that are mindful of the social norms and values in the South Asian countries studied, including to improve discovery of privacy controls, offer content hiding, and provide algorithmic understanding of multiple-user use cases. Our suggestions have implications for enhancing the agency of user populations whose social norms shape their phone use.
This research explores the alternative media ecosystem through a Twitter lens. Over a ten-month period, we collected tweets related to alternative narratives — for example, conspiracy theories — of mass shooting events. We utilized tweeted URLs to generate a domain network, connecting domains shared by the same user, then conducted qualitative analysis to understand the nature of different domains and how they connect to each other. Our findings demonstrate how alternative news sites propagate and shape alternative narratives, while mainstream media deny them. We explain how political leanings of alternative news sites do not align well with a U.S. left-right spectrum, but instead feature an anti-globalist (versus globalist) orientation where U.S. Alt-Right sites look similar to U.S. Alt-Left sites. Our findings describe a subsection of the emerging alternative media ecosystem and provide insight in how websites that promote conspiracy theories and pseudo-science may function to conduct underlying political agendas.
This paper investigates the dissemination, situated fact-checking processes, and social effects of COVID-19 related online and offline misinformation in rural Bangladeshi life. A six-month-long ethnographic study in three villages found villagers perceived a lack of knowledge and experience among local medical professionals and often fell for flashy promotions of unreliable and unconfirmed cures. Villagers built on their local beliefs and myths, religious faiths, and social justice sensibilities while fact-checking suspicious information. They often reported being misled by misinformation that caters to these values, and they further spread this information through conversations with friends and family. Based on our findings, we argue that CSCW and HCI researchers should study misinformation and situated fact-checking together as a communal practice to design appropriate wellbeing technologies and social media for given communities.
This paper describes how spatial understandings of the internet (i.e. the internet is a 'space') enable the persistence of marginalised medical practices. By tracing different accounts of the internet as space among practitioners and followers of diện chẩn-an emergent Vietnamese unregulated therapeutic method-we show how the logic of space circumscribes an alternative techno-social site for marginalised medical practices, transforms the private experience of being alone with technology into being-in-space, spiritualises the internet as a conduit of healing power, and mediates transnational health mobility among the Vietnamese diaspora. Drawing on interviews and ethnographic participation in Vietnam and the US, we demonstrate how the internet can be understood as non-biomedical milieu-a field of determination that conjoins heterogenous interventions on health-related eventualities outside of structured and institutionalised biomedical practices. This in vivo con-ceptualisation of the internet as space offers a point of convergence against the bifurcation of information as abstract and technology as concrete. A spatial conceptualisation highlights the embeddedness of health knowledge on the internet and shows how techno-social interrelations produce different spaces of multiplicity, which constitute a favourable milieu for medical practices outside of the biomedical institution to persist.
During a global pandemic such as COVID-19, laypeople bear a large burden of responsibility for assessing risks associated with COVID-19 and taking action to manage risks in their everyday lives, yet epidemic-related information is characterized by uncertainty and ambiguity. People perceive risks based on partial, changing information. We draw on crisis informatics research to examine the multiple types of risk people perceive in relation to the COVID-19 pandemic, the information sources that inform perceptions of COVID-19 risks, and the challenges that people have in getting the information they need to understand risks, using qualitative interviews with individuals across the United States. Participants describe multiple pandemic-related threats, including illness, secondary health conditions, economic, socio-behavioral, and institutional risks. We further uncover how people draw on multiple information sources from technological infrastructures, people, and spaces to inform the types of their risk perceptions, uncovering deep challenges to acquiring needed risk information.
Affirmative consent is the idea that someone must ask for, and earn, enthusiastic approval before interacting with someone else. For decades, feminist activists and scholars have used affirmative consent to theorize and prevent sexual assault. In this paper, we ask: Can affirmative consent help to theorize online interaction? Drawing from feminist, legal, and HCI literature, we introduce the feminist theory of affirmative consent and use it to analyze social computing systems. We present affirmative consent’s five core concepts: it is voluntary, informed, revertible, specific, and unburdensome. Using these principles, this paper argues that affirmative consent is both an explanatory and generative theoretical framework. First, affirmative consent is a theoretical abstraction for explaining various problematic phenomena in social platforms—including mass online harassment, revenge porn, and problems with content feeds. Finally, we argue that affirmative consent is a generative theoretical foundation from which to imagine new design ideas for consentful socio-technical systems.
Frontline health workers are the first and often the only access point to basic health care services in low-and-middle income countries. However, the work and the issues frontline health workers face are often invisible to the healthcare system, with limited resources to assist them. This study explores the work practices, challenges and roles of frontline health workers in community health with particular focus on pregnancy care in South India. Drawing on the notion of maintenance and articulation work, we describe the maintenance work of frontline health workers maintaining, anticipating, reconciling, and supporting care infrastructures beyond data collection practices. Our findings highlight how socio-cultural practices, perceptions, status, and existing systems influence maintenance work practices. Based on our findings, we suggest moving beyond the focus on training and performance to design CSCW tools to support the maintenance work of frontline health workers as ‘system-builders’ to make healthcare infrastructures work in community health.
In the aftermath of the COVID-19 crisis, there has been a massive amount of misinformation both related to the condition, and a range of linked social and economic issues. We present a mixed methods study of misinformation debunked by Indian fact checking agencies since January 2020. Alongside this, we present an analysis of what politicians in India have been discussing in the overlapping period. We find that affective issues dominate misinformation, especially in the period following the lockdown in India. Furthermore, we find that communal prejudice emerges as a central part of the misinformation environment, something that is reflected in the political speech around the same period.
The study examined the effects of message format (narrative vs. nonnarrative) and correction mechanism (social vs. algorithmic correction) in correcting e-cigarette related misinformation on social media. Two experimental studies were conducted. In study 1, correction mechanisms explicitly endorsed the message corrective (n = 235). As an explicit endorsement may reveal persuasive intent and influence narrative persuasion, Study 2 replicated the design and employed a manipulation for correction mechanism with a more implicit endorsement (n = 235). Findings generally suggest that nonnarrative correction is more effective when it is suggested by social media contacts; narrative correction may have merit when it is prompted by algorithms with explicit endorsement. Credibility evaluations and narrative transportation highlight the psychological mechanisms for understanding this interaction effect.
The field of personal health informatics has received increasing attention within the CSCW and HCI communities as health tracking becomes more affordable, accessible, and pervasive. Chronic disease management, in particular, presents tremendous potential for intervention given patients' ability to now actively participate in their care through tracking. The focus on 'personal' in health informatics, however, obfuscates the role of other cultural and ecological factors that might shape health tracking behaviors, and important information from alternative sources could be ignored by virtue of being subjective, complex, or simply hard to collect. To dig deeper into these negative spaces that may go untracked, uncover potential sources of important health information, and more completely understand current tracking practices, we embarked on an interview study with patients with cardiac diseases in Bangalore, India. In this paper, we present these patients' current health management approaches that are culturally situated, identifying both motivations and barriers to tracking, their attitudes towards online information, as well as cultural and ecological influences on their perceptions of cardiac care. We then discuss the interplay between our findings and current notions of, and approaches towards, patient empowerment and datafication of health.
Few studies in HCI4D have examined the lived experiences of women with pregnancy complications. We conducted a qualitative study with 15 pregnant women to gain an in-depth understanding of the context in which pregnancy takes place and everyday experiences living with complications in rural North-West India. To complement our interviews, we conducted six focus groups with three pregnant women, three community
health workers and three members of an NGO. Our study reveals insights about the challenges and experiences of the pregnant women with complications while navigating the physical, spatial, social and emotional aspects of antenatal care as part of complex and contradictory structures and settings of their everyday life. We argue that the design of digital health in support of pregnancy care for the Global South must center around supporting the navigational work done by the pregnant women and their families.
Purpose
Social media greatly enhances public access to health information and thus attracts older adults who tend to attach more importance to their health. This study aims to identify the factors that contribute to the likelihood of older adults' health information sharing on social media.
Design/methodology/approach
By drawing on health belief (HBM) and elaboration likelihood models (ELM), a novel conceptual model integrating older adults' health belief and information processing is established to uncover the factors. Online survey data from 290 Chinese older adult users of WeChat, the most popular social media platform in China, were collected to test the research model.
Findings
As health belief-related variables, perceived susceptibility is positively associated with health information-sharing intention (HISI), while perceived severity negatively influences HISI, which is contrary to prior findings. For information processing, the positive impacts of argument quality and source credibility on HISI are fully mediated by perceived usefulness.
Originality/value
This study is one of the first studies to explore the initiative use of information and communication technology among older adults. The new theoretical perspective proposed herein considers health belief and information processing perspectives in a complementary manner and can facilitate an overall analysis of the factors influencing older adults' HISI in a social media context. This study also furthers understandings of the ELM and expands the theory of HBM to take the age of decision makers into account.
WhatsApp is a key medium for the spread of news and rumors, often shared as images. We study a large collection of politically-oriented WhatsApp groups in India, focusing on the period leading up to the 2019 Indian national elections. By labeling samples of random and popular images, we find that around 10% of shared images are known misinformation and most fall into three types of images. Machine learning methods can be used to predict whether a viral image is misinformation, but are brittle to shifts in content over time.
The widespread dissemination of misinformation in social media has recently received a lot of attention in academia. While the problem of misinformation in social media has been intensively studied, there are seemingly different definitions for the same problem, and inconsistent results in different studies. In this survey, we aim to consolidate the observations, and investigate how an optimal method can be selected given specific conditions and contexts. To this end, we first introduce a definition for misinformation in social media and we examine the difference between misinformation detection and classic supervised learning. Second, we describe the diffusion of misinformation and introduce how spreaders propagate misinformation in social networks. Third, we explain characteristics of individual methods of misinformation detection, and provide commentary on their advantages and pitfalls. By reflecting applicability of different methods, we hope to enable the intensive research in this area to be conveniently reused in real-world applications and open up potential directions for future studies.
In this paper, we argue that strategic information operations (e.g. disinformation, political propaganda, and other forms of online manipulation) are a critical concern for CSCW researchers, and that the CSCW community can provide vital insight into understanding how these operations function-by examining them as collaborative "work" within online crowds. First, we provide needed definitions and a framework for conceptualizing strategic information operations, highlighting related literatures and noting historical context. Next, we examine three case studies of online information operations using a sociotechnical lens that draws on CSCW theories and methods to account for the mutual shaping of technology, social structure, and human action. Through this lens, we contribute a more nuanced understanding of these operations (beyond "bots" and "trolls") and highlight a persistent challenge for researchers, platform designers, and policy makers-distinguishing between orchestrated, explicitly coordinated, information operations and the emergent, organic behaviors of an online crowd.
Research in Human-Computer Interaction for Development (HCI4D) routinely relies on and engages with the increasing penetration of smartphones and the internet. We examine the mobile, internet, and social media practices of women community health workers, for whom internet access has newly become possible. These workers are uniquely positioned at the intersections of various communities of practice---their familial units, workplaces, networks of health workers, larger communities, and the online world. However, they remain at the margins of each, on account of difference in gender, class, literacies, professional expertise, and more. Our findings unpack the legitimate peripheral participation of these workers; examining how they appropriate smartphones and the internet to move away from the peripheries to fully participate in these communities. We discuss how their activities are motivated by moves towards empowerment, digitization, and improved healthcare provision. We consider how future work might support, leverage, and extend their efforts.
South Asia faces one of the largest gender gaps online globally, and online safety is one of the main barriers to gender-equitable Internet access [GSMA, 2015]. To better understand the gendered risks and coping practices online in South Asia, we present a qualitative study of the online abuse experiences and coping practices of 199 people who identified as women and 6 NGO staff from India, Pakistan, and Bangladesh, using a feminist analysis. We found that a majority of our participants regularly contended with online abuse, experiencing three major abuse types: cyberstalking, impersonation, and personal content leakages. Consequences of abuse included emotional harm, reputation damage, and physical and sexual violence. Participants coped through informal channels rather than through technological protections or law enforcement. Altogether, our findings point to opportunities for designs, policies, and algorithms to improve women's safety online in South Asia.
Rumors are an enduring form of communication across socio-cultural landscapes globally. Counter to their typical negative association, rumors play a nuanced role, helping people collectively deal with problems through constructing a representation of an uncertain situation. Drawing on unstructured interviews and participant observation from a technology goods marketplace in Bangalore, India, we study the circulation of rumors related to the government's recent policy of demonetization and entry of online marketplaces and digital wallets, all of which disrupted existing market practices. These rumors emerge as attempts at sensemaking when a community is faced with ambiguity. Through highlighting the relationship of institutional trust with rumors, the paper argues that the study of rumors can help us identify the concerns of a community in the face of differential power relations. Further, rumors are a form of social bonding which help communities make sense of their place in society and shape existing practices.
Opioid use disorder (OUD) poses substantial risks to personal well-being and public health. In online communities, users support those seeking recovery, in part by promoting clinically grounded treatments. However, some communities also promote clinically unverified OUD treatments, such as unregulated and untested drugs. Little research exists on which alternative treatments people use, whether these treatments are effective for recovery, or if they cause negative side effects. We provide the first large-scale social media study of clinically unverified, alternative treatments in OUD recovery on Reddit, partnering with an addiction research scientist. We adopt transfer learning across 63 subreddits to precisely identify posts related to opioid recovery. Then, we quantitatively discover potential alternative treatments and contextualize their effectiveness. Our work benefits health research and practice by identifying undiscovered recovery strategies. We also discuss the impacts to online communities dealing with stigmatized behavior and research ethics.
HCI4D researchers and practitioners have leveraged voice forums to enable people with literacy, socioeconomic, and connectivity barriers to access, report, and share information. Although voice forums have received impassioned usage from low-income, low-literate, rural, tribal, and disabled communities in diverse HCI4D contexts, the participation of women in these services is almost non-existent. In this paper, we investigate the reasons for the low participation of women in social media voice forums by examining the use of Sangeet Swara in India and Baang in Pakistan by marginalized women and men. Our mixed-methods approach spanning content analysis of audio posts, quantitative analysis of interactions between users, and qualitative interviews with users indicate gender inequity due to deep-rooted patriarchal values. We found that women on these forums faced systemic discrimination and encountered abusive content, flirts, threats, and harassment. We discuss design recommendations to create social media voice forums that foster gender equity in use of these services.
Following the viral spread of hoax political news in the lead-up to the 2016 US presidential election, it's been reported that at least some of the individuals publishing these stories made substantial sums of money—tens of thousands of US dollars—from their efforts. Whether or not such hoax stories are ultimately revealed to have had a persuasive impact on the electorate, they raise important normative questions about the underlying media infrastructures and industries—ad tech firms, programmatic advertising exchanges, etc.—that apparently created a lucrative incentive structure for "fake news" publishers. Legitimate ad-supported news organizations rely on the same infrastructure and industries for their livelihood. Thus, as traditional advertising subsidies for news have begun to collapse in the era of online advertising, it's important to understand how attempts to deal with for-profit hoaxes might simultaneously impact legitimate news organizations. Through 20 interviews with stakeholders in online advertising, this study looks at how the programmatic advertising industry understands “fake news,” how it conceptualizes and grapples with the use of its tools by hoax publishers to generate revenue, and how its approach to the issue may ultimately contribute to reshaping the financial underpinnings of the digital journalism industry that depends on the same economic infrastructure.
Social media's unfettered access has made it an important venue for health discussion and a resource for patients and their loved ones. However, the quality of information available, as well as the motivations of its posters, has been questioned. This work examines the individuals on social media that are posting questionable health-related information, and in particular promoting cancer treatments which have been shown to be ineffective (making it a kind of misinformation, willful or not). Using a multi-stage user selection process, we study 4,212 Twitter users who have posted about one of 139 such "treatments", and compare them to a baseline of users generally interested in cancer. Considering features capturing user attributes, writing style, and sentiment, we build a classifier which is able to identify users prone to propagate such misinformation at an accuracy of over 90%, providing a potential tool for public health officials to identify such individuals for preventive intervention.
We conducted a field study of Mohalla Clinics in Delhi (India), drawing on Haraway's work to highlight the importance of considering disparate, partial perspectives in the ecologies of such clinics. We emphasized that inadequate attention given to patients' and health workers' perspectives, and the low preparedness of the doctors at the clinics, resulted in the clinics being unable to address the needs of target patient groups. We concluded by contributing to ongoing, important conversations in the fields of ICTD, CSCW, and HCI towards redesigning healthcare interventions, revisiting patient empowerment, and redefining the role of ASHAs as infomediaries.
Introduction:
A recent trend in health information seeking and sharing is the use of social media. Although there are several benefits to the use of social media for health communication, the quality of health information exchanged on social media is troubling due to its informal, unregulated mechanisms for information collection, sharing and promotion. Therefore, it is important to understand how users adopt health information from social media.
Method:
Considering the user-generated and storytelling nature of social media messages, this research employed the narrative paradigm perspective to explain the social media health information adoption phenomenon. Specifically, narrative coherence (NC) and narrative fidelity (NF) were hypothesised to have positive effects on the intention to adopt (IA). Additionally, socio-economic status (SES) was viewed as a proxy variable to cognitive capability and was hypothesised to moderate the effects of NC and NF. A scenario-based survey was conducted to test the proposed research model.
Results:
We obtained a total of 257 valid questionnaires. The results indicated that NF ( p < 0.001) had a positive effect on the IA social media health information. The NC ( p < 0.01) had no impact on the low SES users but a positive impact on the high SES users. Further, the effect of NF ( p < 0.01) on the IA was higher for high SES users than low SES users.
Conclusions:
NC and NF are two major driving forces in social media health information adoption, and the effect of both narrative paradigm variables depends on the SES users. Implications Results of this study show how the narrative paradigm, with a focus on the storytelling method of communication rather than logical scientific argument, can not only explain the uptake of health messages from social media, but also provide guidance as to how to create health messages on social media that more effectively target end users.
Increases in mobile phone ownership and Internet access throughout Africa continue to motivate initiatives to use information and communication technologies (ICTs)—in particular, mobile phones—to address long-standing socioeconomic problems in the “developing world.” While it is generally recognized that mobile phones may help to address these problems by providing pertinent information, less widely known is exactly how (and if) a handset’s human–computer interface—that is, its software and hardware design—supports this form of communication. The concept of “affordances” has long been used to answer such questions. In this paper, we use Hartson’s definition of affordances to qualitatively investigate rural Kenyan women’s interactions with their mobile phones. Our detailed analysis provides empirically grounded answers to questions about the cognitive, physical, and sensory affordances of handsets used in our field sites and how they support and/or constrain mobile communication. We then discuss the implications of our findings: in particular, how this affordance-based approach draws attention to mobile phones’ design features and to the context in which they and their users are embedded—a focus which suggests new design and research opportunities in mobile communication.