Women-Focused Nonprofit Organizations and Their Use of Twitter During the COVID-19 Pandemic: Characterizing a Gendered Pandemic Through Information, Community, and Action.

This study investigates how gender-focused nonprofit organizations used Twitter to advocate on behalf of women and girls during the initial stage of the COVID-19 pandemic. We collected tweets from five nonprofits including Canadian Women's Foundation, Anova, UN Women, National Organization for Women, and Planned Parenthood. Through thematic analysis, we identified nine gender-related themes: safety, physical health, mental health, labor, economic situation, intersectional concerns, leadership, the role of gender in pandemic response and recovery plans, and supporting women's organizations. A subsequent content analysis revealed that women's safety, labor, and economic situation were the most prominent themes. It was also revealed that safety and intersectional concerns were raised by all organizations. We applied the theoretical framework of microblogging functions which distinguishes between information-, community-, and action-oriented tweets. Most of the tweets in our study were informational, much fewer were associated with calls to action and community engagement. Our analysis also revealed relationships between the microblogging functions and the tweets' content themes. We found that informational tweets addressed women's safety, physical health, economic situation, and the role of gender in pandemic response and recovery plans, while community-oriented tweets addressed women's labor, leadership, and supporting women's organizations. Finally, each microblogging function elicited different levels of user engagement on Twitter, with the community-oriented function receiving the largest number of "likes" compared with the information- and action-oriented functions. Our study adds to the growing body of research on social media use by feminist groups and provides novel theoretical insights by expanding the microblogging framework.

Public health agencies outreach through Instagram during the COVID-19 pandemic: Crisis and Emergency Risk Communication perspective.

Background: Governmental and non-governmental institutions increasingly use social media as a strategic tool for public outreach. Global spread, promptness, and dialogic potentials make these platforms ideal for public health monitoring and emergency communication in crises such as COVID-19. Objective: Drawing on the Crisis and Emergency Risk Communication framework, we sought to examine how leading health organizations use Instagram for communicating and engaging during the COVID-19 pandemic. Methods: We manually retrieved Instagram posts together with relevant metadata of four health organizations (WHO, CDC, IFRC, and NHS) shared between January 1, 2020, and April 30, 2020. Two coders manually coded the analytical sample of 269 posts related to COVID-19 on dimensions including content theme, gender depiction, person portrayal, and image type. We further analyzed engagement indices associated with the coded dimensions. Results: The CDC and WHO were the most active of all the assessed organizations with respect to the number of posts, reach, and engagement indices. Most of the posts were about personal preventive measures and mitigation, general advisory and vigilance, and showing gratitude and resilience. An overwhelming level of engagement was observed for posts representing celebrity, clarification, and infographics. Conclusions: Instagram can be an effective tool for health organizations to convey their messages during crisis communication, notably through celebrity involvement, clarification posts, and the use of infographics. There is much opportunity to strengthen the role of health organizations in countering misinformation on social media by providing accurate information, directing users to credible sources, and serving as a fact-check for false information.

The role of communication technology across the life course: A field guide to social support in East York.

This paper builds on a body of work over the decades that examines how East Yorkers give and receive support. We go beyond the earlier work taking into consideration communication technologies and how they play a role in the ways people exchange social support across the life course. We draw on 101 in-depth interviews conducted in 2013-2014 to shed light on the support networks of a sample of East York residents and discern the role of communication technologies in the exchange of different types of social support across age groups. Our findings show that not much has changed since the 1960s in terms of the social ties that our sample of East Yorkers have, and the types of support mobilized via social networks: companionship, small and large services, emotional aid, and financial support. What has changed is how communication technologies interweave in complex ways with different types of social ties (partners, siblings, friends, etc.) to mobilize social support. We found that communication technologies helped siblings and extended kin to increase the frequency of interaction and help exchange support at a distance. Communication technologies helped solidify friendship ties by providing a continuous flow of interaction. We draw implications for theories of social support and for social policy associated with interventions aimed at helping vulnerable groups cope in hard times such as the COVID-19 pandemic.

Quantifying depression-related language on social media during the COVID-19 pandemic.

Introduction: The COVID-19 pandemic had clear impacts on mental health. Social media presents an opportunity for assessing mental health at the population level. Objectives: 1) Identify and describe language used on social media that is associated with discourse about depression. 2) Describe the associations between identified language and COVID-19 incidence over time across several geographies. Methods: We create a word embedding based on the posts in Reddit's /r/Depression and use this word embedding to train representations of active authors. We contrast these authors against a control group and extract keywords that capture differences between the two groups. We filter these keywords for face validity and to match character limits of an information retrieval system, Elasticsearch. We retrieve all geo-tagged posts on Twitter from April 2019 to June 2021 from Seattle, Sydney, Mumbai, and Toronto. The tweets are scored with BM25 using the keywords. We call this score rDD. We compare changes in average score over time with case counts from the pandemic's beginning through June 2021. Results: We observe a pattern in rDD across all cities analyzed: There is an increase in rDD near the start of the pandemic which levels off over time. However, in Mumbai we also see an increase aligned with a second wave of cases. Conclusions: Our results are concordant with other studies which indicate that the impact of the pandemic on mental health was highest initially and was followed by recovery, largely unchanged by subsequent waves. However, in the Mumbai data we observed a substantial rise in rDD with a large second wave. Our results indicate possible un-captured heterogeneity across geographies, and point to a need for a better understanding of this differential impact on mental health.