Devendra Potnis

Rarely any study investigates how information gatekeeping through the solutions and services enabled by algorithms, hereafter referred to as algorithmic technologies (AT), creates negative consequences for the users. To fill this gap, this state‐of‐the‐art review analyzes 229 relevant articles from diverse academic disciplines. We employed thematic analysis to identify, analyze, classify, and reveal the chain reactions among the negative consequences. We found that the gatekeeping of information (text, audio, video, and graphics) through AT like artificial intelligence (e.g., chatbots, large language models, machine learning, robots), decision support systems (used by banks, grocery stores, police, etc.), hashtags, online gaming platforms, search technologies (e.g., voice assistants, ChatGPT), and Web 3.0 (e.g., Internet of Things, non‐fungible tokens) creates or reinforces cognitive vulnerability, economic divide and financial vulnerability, information divide, physical vulnerability, psychological vulnerability, and social divide virtually and in the offline world. Theoretical implications include the hierarchical depiction of the chain reactions among the primary, secondary, and tertiary divides and vulnerabilities. To mitigate these negative consequences, we call for concerted efforts using top‐down strategies for governments, organizations, and technology experts to attain more transparency, accountability, ethical behavior, and moral practices, and bottom‐up strategies for users to be more alert, discerning, critical, and proactive.

In sub-Saharan Africa, women are caretakers of their homes. Despite the gendered nature of technology use, human-computer interaction research has rarely focused on women's interaction with domestic technologies in this context. We explore how urban women in Malawi use domestic technologies to support activities in their homes. We conducted semi-structured interviews, observations, and focus group discussions with 33 married women living with their husbands and other family members. Our findings suggest that women are the primary users of utilitarian domestic technologies; however, their spouses have control over how they use these technologies. Further, we found that purpose and time influence women's decision-making process for selecting domestic technologies to use, especially cooking appliances. The structure of some Malawian homes—which consist of a combination of modern and traditional structures—also influences women's decision-making process. Our findings contribute to feminist theories in human-computer interaction through the application of ecology, pluralism, and self-disclosure aspects.

Information and communication technology for development (ICT4D) research sporadically leverages information science scholarship. Our qualitative study employs the “information grounds” (IG) lens to investigate the consequences of information exchanges by pregnant women on Facebook, who are vulnerable in the doctor‐centric birth culture in rural America. The thematic analysis of in‐depth interviews with members and administrators of the Vaginal Birth After Cesarean (VBAC) group shows that positive consequences outweigh negative consequences of information exchanges and lead to the following progression of outcomes: (a) VBAC group as an information ground, (b) social capital (e.g., cognitive, structural, and relational capital) built on the information ground, (c) seven emergent properties of the information ground, and (d) value co‐created (e.g., local, affordable, timely, enduring, and reliable support) by VBAC group members. The IG lens reveals the following roles of Facebook, an ICT, in development: (a) a linker that lets people with similar needs and interests convene and shapes their interactions, (b) a prerequisite to building an online, “third place” for social interactions, and (c) an apparatus for ubiquitously seeking, searching, sharing, and storing information in multiple formats and controlling its flow on the VBAC group. This paper fills in six gaps in the ICT4D research.

Rarely does any empirical investigation show how administrators routinely control information in online communities and alleviate misinformation, hate speech, and information overload supported by profit‐driven algorithms. Thematic analysis of in‐depth phone interviews with members and administrators of a “Vaginal Birth After Cesarean” (VBAC) group with over 500 new mothers on Facebook shows that the administrators make 19 choices for recurring, authoritative but evolving 19 information‐related activities when (a) forming the VBAC group over Facebook for local new mothers, (b) actively recruiting women who had a VBAC or have related competencies, (c) removing doctors and solicitors from the group, (d) setting up and revising guidelines for interactions in the group, (e) maintaining the focus of the group, (f) initiating distinct threads of conversations on the group, (g) tagging experts during conversations in the group, and (h) correcting misinformation. Thirty‐eight information practices of the administrators indicate their nine gatekeeping roles, seven of these roles help administrators alleviate misinformation, hate speech, and information overload. Findings also show that the management of members and their interactions is a prerequisite to controlling information in online communities. Prescriptions to social networking companies and guidelines for administrators of online communities are discussed at the end.

Background: Little is known about the role of the World Health Organization (WHO) in communicating with the public on social media during a global health emergency. More specifically, there is no study about the relationship between the agendas of the WHO and Twitter users during the COVID-19 pandemic. Objective: This study utilizes the network agenda-setting model to investigate the mutual relationship between the agenda of the WHO’s official Twitter account and the agenda of 7.5 million of its Twitter followers regarding COVID-19. Methods: Content analysis was applied to 7090 tweets posted by the WHO on Twitter from January 1, 2020, to July 31, 2020, to identify the topics of tweets. The quadratic assignment procedure (QAP) was used to investigate the relationship between the WHO agenda network and the agenda network of the 6 Twitter user categories, including “health care professionals,” “academics,” “politicians,” “print and electronic media,” “legal professionals,” and the “private sector.” Additionally, 98 Granger causality statistical tests were performed to determine which topic in the WHO agenda had an effect on the corresponding topic in each Twitter user category and vice versa. Results: Content analysis revealed 7 topics that reflect the WHO agenda related to the COVID-19 pandemic, including “prevention,” “solidarity,” “charity,” “teamwork,” “ill-effect,” “surveillance,” and “credibility.” Results of the QAP showed significant and strong correlations between the WHO agenda network and the agenda network of each Twitter user category. These results provide evidence that WHO had an overall effect on different types of Twitter users on the identified topics. For instance, the Granger causality tests indicated that the WHO tweets influenced politicians and print and electronic media about “surveillance.” The WHO tweets also influenced academics and the private sector about “credibility” and print and electronic media about “ill-effect.” Additionally, Twitter users affected some topics in the WHO. For instance, WHO followers affected “charity” and “prevention” in the WHO. Conclusions: This paper extends theorizing on agenda setting by providing empirical evidence that agenda-setting effects vary by topic and types of Twitter users. Although prior studies showed that network agenda setting is a “one-way” model, the novel findings of this research confirm a “2-way” or “multiway” effect of agenda setting on social media due to the interactions between the content creators and audiences. The WHO can determine which topics should be promoted on social media during different phases of a pandemic and collaborate with other public health gatekeepers to collectively make them salient in the public.

While previous research has mostly focused on the “number of mentions” of scientific research on social media, the current study applies “topic networks” to measure public attention to scientific research on Twitter. Topic networks are the networks of co-occurring author keywords in scholarly publications and networks of co-occurring hashtags in the tweets mentioning those publications. We investigate which topics in opioid scholarly publications have received public attention on Twitter. Additionally, we investigate whether the topic networks generated from the publications tweeted by all accounts (bot and nonbot accounts) differ from those generated by nonbot accounts. Our analysis is based on a set of opioid publications from 2011 to 2019 and the tweets associated with them. Results indicated that Twitter users have mostly used generic terms to discuss opioid publications, such as “Pain,” “Addiction,” “Analgesics,” “Abuse,” “Overdose,” and “Disorders.” A considerable amount of tweets is produced by accounts that were identified as automated social media accounts, known as bots. There was a substantial overlap between the topic networks based on the tweets by all accounts (bot and nonbot accounts). This result indicates that it might not be necessary to exclude bot accounts for generating topic networks as they have a negligible impact on the results. This study provided some preliminary evidence that scholarly publications have a network agenda-setting effect on Twitter.

Purpose: This literature review aims to identify conscious, intentional, repetitive and transferrable information-related decisions and activities (i.e. information practices) for individuals to alleviate their information vulnerability. Information vulnerability refers to the lack of access to accurate, affordable, complete, relevant and timely information or the inability to use such information, which can place individuals, communities or society at disadvantage or hurt them.Design/methodology/approach: Conceptual literature review.Findings: This review presents seven conscious, intentional, repetitive and transferrable information practices to alleviate information vulnerability.Practical implications: Due to the transferability potential of the seven information practices, diverse populations in varied contexts could refer to, adapt and benefit from appropriate combinations of information practices and their manifestations. The framework can be used by individuals for alleviating information vulnerability. Thus, this paper responds to the call for conducting action-driven research in information science for addressing real-world problems. Information professionals can help individuals select and implement appropriate combinations of seven information practices for alleviating information vulnerability.Originality/value: We propose (1) a parsimonious, episodic framework for alleviating information vulnerability, which depicts the inter-relationship among the seven information practices and (2) a three-dimensional plot with information access, use and value as three axes to map the manifestation and outcome of alleviating information vulnerability.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Little is known about the role of the World Health Organization (WHO) in communicating with the public on social media during a global health emergency. More specifically, there is no study about the relationship between the agendas of the WHO and Twitter users during the COVID-19 pandemic. Objective: This study utilizes the network agenda-setting model to investigate the mutual relationship between the agenda of the WHO’s official Twitter account and the agenda of 7.5 million of its Twitter followers regarding COVID-19. Methods: Content analysis was applied to 7090 tweets posted by the WHO on Twitter from January 1, 2020, to July 31, 2020, to identify the topics of tweets. The quadratic assignment procedure (QAP) was used to investigate the relationship between the WHO agenda network and the agenda network of the 6 Twitter user categories, including “health care professionals,” “academics,” “politicians,” “print and electronic media,” “legal professionals,” and the “private sector.” Additionally, 98 Granger causality statistical tests were performed to determine which topic in the WHO agenda had an effect on the corresponding topic in each Twitter user category and vice versa. Results: Content analysis revealed 7 topics that reflect the WHO agenda related to the COVID-19 pandemic, including “prevention,” “solidarity,” “charity,” “teamwork,” “ill-effect,” “surveillance,” and “credibility.” Results of the QAP showed significant and strong correlations between the WHO agenda network and the agenda network of each Twitter user category. These results provide evidence that WHO had an overall effect on different types of Twitter users on the identified topics. For instance, the Granger causality tests indicated that the WHO tweets influenced politicians and print and electronic media about “surveillance.” The WHO tweets also influenced academics and the private sector about “credibility” and print and electronic media about “ill-effect.” Additionally, Twitter users affected some topics in the WHO. For instance, WHO followers affected “charity” and “prevention” in the WHO. Conclusions: This paper extends theorizing on agenda setting by providing empirical evidence that agenda-setting effects vary by topic and types of Twitter users. Although prior studies showed that network agenda setting is a “one-way” model, the novel findings of this research confirm a “2-way” or “multiway” effect of agenda setting on social media due to the interactions between the content creators and audiences. The WHO can determine which topics should be promoted on social media during different phases of a pandemic and collaborate with other public health gatekeepers to collectively make them salient in the public.

As a dynamic and interdisciplinary field of study, information science has a diverse set of methods, theoretical frameworks, tools and processes that continue to be developed, adopted, and extended through further research, teaching, and practice. Some of the methods and frameworks have origins in other disciplines. The interdisciplinary nature of information science may have enabled the field to grow in stature but it may have also contributed to it being perceived, often unfairly and mistakenly, as lacking a strong identity, brand, and reputation, leading to a possible fragmentation of the field. Continued conversations around factors that may help and/or hinder the field from fulfilling its full potential and how it can position itself to build an identity on a strong track record are necessary. The panel has two main goals: (1) to engage researchers and educators in an interactive discussion on the contributing factors and ways in which information science can remain a diverse and interdisciplinary field, realize its full potential, and build a strong identity as well as identify potential barriers it needs to overcome; and (2) to delineate the roles its stakeholders and allies need to play to achieve that goal of a field with “Unity in diversity”.