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                  <text>VOL 29 ISSUE 1 2024</text>
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                <text>Are active and passive social media use related to&#13;
mental health, wellbeing, and social support outcomes?&#13;
A meta-analysis of 141 studies</text>
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                <text>active social media use, passive social media use, wellbeing, illbeing, social support</text>
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                <text>The relationships between active (e.g., creating content) and passive (e.g., scrolling) social media (SM) use (SMU) and mental health, wellbeing,&#13;
and social support outcomes have received significant attention, yet findings have been mixed. We conducted a meta-analysis of 141 studies&#13;
(N � 145,000) containing 897 effect sizes (ESs) between active and passive SMU and 13 outcomes. Most ESs were negligible (jrj &lt; .10), with&#13;
the exception of between-person associations for active SMU and greater online support (r 1⁄4 .34), wellbeing (r 1⁄4 .15), positive affect (r 1⁄4 .11),&#13;
&#13;
and symptoms of anxiety (r 1⁄4 .12), and passive SMU and greater online support (r 1⁄4 .15). Moderator analyses revealed that passive use was as-&#13;
sociated with worse emotional outcomes in general SM contexts, but not in the context of SM groups. User age also emerged as an important&#13;
&#13;
contextual factor. Implications for future research, theory development, and healthy SMU are discussed.</text>
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                <text>Rebecca Godard 1,�, Susan Holtzman</text>
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                <text>https://doi.org/10.1093/jcmc/zmad055</text>
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                <text>Can social media combat gender inequalities in academia?&#13;
Measuring the prevalence of the Matilda effect in&#13;
communication</text>
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                <text>This study sought to investigate whether scholarly impact and academic influence differ between men and women in the field of communica-&#13;
tion and the extent to which the gender gap has persisted on social media platforms, an arena increasingly used for research dissemination.&#13;
&#13;
Data were collected from 10,736 articles, published in prominent communication journals between 2012 and 2022, using a combination of three&#13;
&#13;
sources: OpenAlex, Altmetric, and Twitter. The gender of 6,827 first authors was identified using ChatGPT, with an accuracy of 0.94. The find-&#13;
ings confirmed the presence of the Matilda effect, indicating a bias toward male scholars in terms of research performance, academic mobility,&#13;
&#13;
and online popularity. Furthermore, the study revealed uneven gains between male and female scholars in their use of social media for research&#13;
dissemination. These results have implications for how science communities can effectively promote research on social media.</text>
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                <text>Yunya Song 1,†&#13;
&#13;
, Xiaohui Wang 2,†,�, Guanrong Li1,3</text>
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                <text>https://doi.org/10.1093/jcmc/zmad050</text>
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                <text>Oxford University Press on behalf of International Communication Association.</text>
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                <text>Categorizing the non-categorical: the challenges of&#13;
studying gendered phenomena online</text>
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                <text>gender, affordances, attention, amplification, gender disparities.</text>
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                <text>Studies of gendered phenomena online have highlighted important disparities, such as who is likely to be elevated as an expert or face gender-&#13;
based harassment. This research, however, typically relies upon inferring user gender—an act that perpetuates notions of gender as an easily&#13;
&#13;
observable, binary construct. Motivated by work in gender and queer studies, we therefore compare common approaches to gender inference&#13;
in the context of online settings. We demonstrate that gender inference can have downstream consequences when studying gender inequities&#13;
and find that nonbinary users are consistently likely to be misgendered or overlooked in analysis. In bringing a theoretical focus to this common&#13;
methodological task, our contribution is in problematizing common measures of gender, encouraging researchers to think critically about what&#13;
these constructs can and cannot capture, and calling for more research explicitly focused on gendered experiences beyond a binary.</text>
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                <text>Sarah Shugars 1,�, Alexi Quintana-Mathe � 2&#13;
&#13;
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&#13;
, David Lazer2,3,4,5</text>
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                <text>https://doi.org/10.1093/jcmc/zmad053</text>
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                <text>Codesigning community networking literacies with rural/&#13;
remote Northern Indigenous communities in Northwest&#13;
Territories, Canada</text>
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                <text>digital inclusion, digital literacy, digital divide, community networks, Northern Canada, Indigenous Peoples.</text>
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                <text>Digital literacy research and practice typically presume certain conditions, such as an urban orientation and adequate, affordable access to&#13;
connectivity and devices. But these conditions are not universal; for example, people in small, rural/remote Indigenous communities may seek to&#13;
balance connectivity challenges and digital innovations with land-based living specific to place and community. Drawing on efforts to broaden&#13;
critical digital literacies to support Indigenous sovereignty, we consider how overlapping contexts of places, communities, and infrastructures&#13;
intersect in the cocreation of appropriate digital literacy. Specifically, we discuss a series of virtually facilitated, participatory workshops that utilize&#13;
“hacker literacies” and “infrastructure literacy” to reimagine connectivity infrastructure and demonstrate the potential of community networking&#13;
in, with, and by rural/remote Indigenous communities. We also reflect on limitations of this work and identify lessons for future projects.</text>
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                <text>Rob McMahon 1,*, Michael B. McNally1&#13;
&#13;
, Eric Nitschke2&#13;
&#13;
, Kyle Napier1&#13;
&#13;
, Marıa Alvarez Malvido3&#13;
,&#13;
&#13;
Murat Akc ̧ayir1</text>
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                <text>https://doi.org/10.1093/jcmc/zmad042</text>
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                <text>Oxford University Press on behalf of International Communication Association.</text>
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                <text>21 September 2023</text>
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                <text>PERI IRAWAN</text>
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                <text>Digital disconnection, digital inequality, and subjective&#13;
well-being: a mobile experience sampling study</text>
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                <text>digital disconnection, digital detox, digital inequality, subjective well-being, preregistration, ecological momentary assessment.</text>
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                <text>Drawing on theories of digital media (non-)use and well-being, this study examines how voluntary disconnection relates to subjective well-being&#13;
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throughout the day (e.g., putting screen devices away and muting notifications) with momentary experiences of well-being. We collected 4,028&#13;
responses from 105 mobile media users over the course of one week. Multilevel regression analyses revealed neither significant within-person&#13;
effects of disconnection on affective well-being, social connectedness, or life satisfaction, nor a significant moderation effect of digital skills.&#13;
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on whether one disconnects in the physical copresence of others. Our study offers a refined perspective on the consequences, or lack thereof,&#13;
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&#13;
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als experienced more guilt over their smartphone use when they had mindlessly scrolled for a longer period and that experienced goal conflict&#13;
&#13;
partially mediated this relationship. Daily analyses revealed that mindless scrolling was also associated with small negative changes in well-&#13;
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&#13;
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&#13;
Mariek M. P. Vanden Abeele</text>
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                <text>Context collapse occurs on social media platforms when different groups are mixed into one audience. To advance the understanding of the ex-&#13;
tensive and complex coping strategies people use to address context collapse, this study makes a conceptual distinction between passively&#13;
&#13;
adapting by sharing context-free, general information (context adaptation) and rebuilding contexts to satisfy the diverse needs of impression&#13;
management (context restoration). This study in-depth interviewed 51 WeChat users (30 working professionals and 21 college students) in urban&#13;
China. The results identified strategies for context restoration through reconstructing contextual boundaries on psychological, relational, spatial,&#13;
and temporal dimensions. These findings highlight individual (effort minimization, self-consciousness, and privacy concerns) and audience factors&#13;
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for mitigating context collapse.</text>
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&#13;
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&#13;
, Hangchen Kong4</text>
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                <text>I wanna share this, but...: explicating invested costs and&#13;
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                <text>social grooming model, social grooming, invested cost, privacy, social capital, well-being, image awareness.</text>
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                <text>The social grooming model (SGM), which theorizes social media users’ social grooming behaviors based on invested costs, is robust, reflecting&#13;
various and nuanced social grooming styles. However, its core assumptions have not been validated. Using a nationally representative sample of&#13;
&#13;
1,001 Taiwanese social media users, we explored costs and privacy for each social grooming behavior via a survey. Our results supported the hy-&#13;
potheses of the SGM. Users reported greater costs and reputational concerns for private topics than public topics, and higher costs for emotional&#13;
&#13;
and controversial topics than for informational and trending topics. With the new five styles identified in this study, social butterflies and meform-&#13;
ers reported significantly greater social capital and well-being than lurkers; however, social butterflies reported greater invested costs in social&#13;
&#13;
grooming than meformers, indicating that being strategic is most efficient when it comes to social grooming, considering invested costs and the&#13;
social benefits. SGM is robust and can reflect rich social grooming patterns.</text>
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&#13;
, Ji-Wei Yang1</text>
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                <text>The underrepresentation of women in open-source software is frequently attributed to women’s lack of innate aptitude compared to men: natu-&#13;
ral gender differences in technical ability (Trinkenreich et al., 2021). Approaching code as a form of communication, I conduct a novel empirical&#13;
&#13;
study of gender differences in Python programming on GitHub. Based on 1,728 open-source projects, I ask if there is a gender difference in the&#13;
quality and style of Python code measured in adherence to PEP-8 guidelines. I found significant gender differences in structure and how Python&#13;
files are organized. While there is gendered variation in programming style, there is no evidence of gender difference in code quality. Using a&#13;
Random Forest model, I show that the gender of a programmer can be predicted from the style of their Python code. The study concludes that&#13;
gender differences in Python code are a matter of style, not quality.</text>
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                  <text>VOL 29 ISSUE 1 2024</text>
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                <text>Quantifying gender disparities and bias online: editors’&#13;
introduction to “Gender Gaps in Digital Spaces”&#13;
special issue</text>
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                <text>This special issue collects studies about how gender divides manifest in digital environments, spanning online repositories, social media, and&#13;
AI-powered technologies. Computational research helps in assessing the nature and prevalence of gender divides: Identifying differences and&#13;
bias requires defining benchmarks, systematic departures, and overall incidence. This collection showcases evidence uncovered quantitatively&#13;
&#13;
and illustrates how such evidence can advance theoretical understanding of gender dynamics as socially constructed phenomena. Social inter-&#13;
actions and discursive practices are shaped by the technologies we use to communicate, work, and organize. These technologies shape, in&#13;
&#13;
turn, how we perceive and reinforce gender stereotypes. In this editors‘ note, we discuss how the seven articles included in the special issue&#13;
&#13;
unpack communicative processes in the context of various online environments, disentangling gendered dynamics from the use of digital tech-&#13;
nologies. Ultimately, our goal is to energize a research agenda that requires continued work as technologies morph and evolve in unprece-&#13;
dented directions.</text>
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                <text>Emoke- } Agnes � Horvat � 1 and Sandra Gonzalez-Bail � on</text>
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                <text>Oxford University Press on behalf of International Communication Association.</text>
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