1 10 18 https://repository.horizon.ac.id/files/original/366eeb13c32c0bffafb2f5009d74b555.pdf d14363b883757d4c2745f779ed2c9f27 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Does mindless scrolling hamper well-being? Combining ESM and log-data to examine the link between mindless scrolling, goal conflict, guilt, and daily well-being Subject The topic of the resource social media, mindless scrolling, behavioral data, guilt, goal conflict. Description An account of the resource This manuscript presents findings from a preregistered mixed-method study involving 67,762 ecological momentary assessments and behav- ioral smartphone observations from 1,315 adults. The study investigates (a) momentary associations between mindless scrolling, goal conflict, and guilt over smartphone use, and (b) whether guilt experiences during the day culminate into lower well-being. Results indicate that individu- als experienced more guilt over their smartphone use when they had mindlessly scrolled for a longer period and that experienced goal conflict partially mediated this relationship. Daily analyses revealed that mindless scrolling was also associated with small negative changes in well- being, and this relationship was partially mediated by guilt experienced over the same day. Individuals with less self-control were more prone to experiencing goal conflict after mindlessly scrolling. These findings indicate that although mindless scrolling may seem a relatively harmless me- dia behavior, it may have both momentary and downstream negative implications for well-being. Creator An entity primarily responsible for making the resource David de Segovia Vicente 1,�, Kyle Van Gaeveren 1 , Stephen L. Murphy 1 , Mariek M. P. Vanden Abeele Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad056 Date A point or period of time associated with an event in the lifecycle of the resource 14 December 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/2bdd7e6ac6c35dca133fb29b32f4b8e8.pdf 80d37986f70a9d8bafef1d6b523f6cd0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Are active and passive social media use related to mental health, wellbeing, and social support outcomes? A meta-analysis of 141 studies Subject The topic of the resource active social media use, passive social media use, wellbeing, illbeing, social support Description An account of the resource The relationships between active (e.g., creating content) and passive (e.g., scrolling) social media (SM) use (SMU) and mental health, wellbeing, and social support outcomes have received significant attention, yet findings have been mixed. We conducted a meta-analysis of 141 studies (N � 145,000) containing 897 effect sizes (ESs) between active and passive SMU and 13 outcomes. Most ESs were negligible (jrj < .10), with 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), 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- sociated with worse emotional outcomes in general SM contexts, but not in the context of SM groups. User age also emerged as an important contextual factor. Implications for future research, theory development, and healthy SMU are discussed. Creator An entity primarily responsible for making the resource Rebecca Godard 1,�, Susan Holtzman Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad055 Date A point or period of time associated with an event in the lifecycle of the resource 11 December 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/98c9bc4339b483016b0c80c6cbf25175.pdf 0366eb95c22913c7c1ae80281ad5e935 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Quantifying gender disparities and bias online: editors’ introduction to “Gender Gaps in Digital Spaces” special issue Subject The topic of the resource Quantifying gender Description An account of the resource This special issue collects studies about how gender divides manifest in digital environments, spanning online repositories, social media, and AI-powered technologies. Computational research helps in assessing the nature and prevalence of gender divides: Identifying differences and bias requires defining benchmarks, systematic departures, and overall incidence. This collection showcases evidence uncovered quantitatively and illustrates how such evidence can advance theoretical understanding of gender dynamics as socially constructed phenomena. Social inter- actions and discursive practices are shaped by the technologies we use to communicate, work, and organize. These technologies shape, in turn, how we perceive and reinforce gender stereotypes. In this editors‘ note, we discuss how the seven articles included in the special issue unpack communicative processes in the context of various online environments, disentangling gendered dynamics from the use of digital tech- nologies. Ultimately, our goal is to energize a research agenda that requires continued work as technologies morph and evolve in unprece- dented directions. Creator An entity primarily responsible for making the resource Emoke- } Agnes � Horvat � 1 and Sandra Gonzalez-Bail � on Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad054 Publisher An entity responsible for making the resource available Oxford University Press on behalf of International Communication Association. Date A point or period of time associated with an event in the lifecycle of the resource 13 December 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/d9a31667e497fb52c7baf90d85e68bac.pdf c25ae98cc8754404244e698a500a0514 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Categorizing the non-categorical: the challenges of studying gendered phenomena online Subject The topic of the resource gender, affordances, attention, amplification, gender disparities. Description An account of the resource Studies of gendered phenomena online have highlighted important disparities, such as who is likely to be elevated as an expert or face gender- based harassment. This research, however, typically relies upon inferring user gender—an act that perpetuates notions of gender as an easily observable, binary construct. Motivated by work in gender and queer studies, we therefore compare common approaches to gender inference in the context of online settings. We demonstrate that gender inference can have downstream consequences when studying gender inequities and find that nonbinary users are consistently likely to be misgendered or overlooked in analysis. In bringing a theoretical focus to this common methodological task, our contribution is in problematizing common measures of gender, encouraging researchers to think critically about what these constructs can and cannot capture, and calling for more research explicitly focused on gendered experiences beyond a binary. Creator An entity primarily responsible for making the resource Sarah Shugars 1,�, Alexi Quintana-Mathe � 2 , Robin Lange2 , David Lazer2,3,4,5 Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad053 Publisher An entity responsible for making the resource available Oxford University Press on behalf of International Communication Association. Date A point or period of time associated with an event in the lifecycle of the resource 4 December 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/7d128cd9886a60e75306d5d1b43ef6ca.pdf 8eaa06811615a1e0a680f146e42135f3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Uncovering gender stereotypes in controversial science discourse: evidence from computational text and visual analyses across digital platforms Subject The topic of the resource gender stereotypes, public engagement, science communication, multi-modal communication, video-as-data. Description An account of the resource This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering vari- ous modalities such as captions and thumbnails, revealed that themes related to children and health often appeared in videos mentioning women, while science misinformation was more common in videos mentioning men. We observed cross-platform differences in portraying gender stereotypes. YouTube’s video descriptions often highlighted women-associated moral language, whereas TikTok emphasized men- associated moral language. YouTube’s thumbnails frequently featured climate activists or women with nature, while TikTok’s thumbnails showed women in Vlog-style selfies and with feminine gestures. These findings advance understanding about gender and science through a cross-platform, multi-modal approach and offer potential intervention strategies. Creator An entity primarily responsible for making the resource Kaiping Chen 1,�,†, Zening Duan 2,† , Sang Jung Kim Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad052 Publisher An entity responsible for making the resource available Oxford University Press on behalf of International Communication Association. Date A point or period of time associated with an event in the lifecycle of the resource 1 December 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/0b0cfba4360bd30d77c64eb6b6a09bd6.pdf dd85b5aae229e8abc2011cabac0badc9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Surviving or thriving political defeat on social media: a temporal analysis of how electoral loss exacerbates the gender gap in political expression Subject The topic of the resource gender gap, political expression, growth modeling, longitudinal analysis, social identity theory. Description An account of the resource Extensive research reveals gender gaps in social media expression, particularly women’s reduced propensity for sharing political information and opinions. We examine the impact of political defeat on the gender gap in political expression on social media by pairing Twitter data from candidate supporters with a voter file. Our results indicate that Trump’s 2020 defeat reduced tweet volumes only among his female support- ers, while his male supporters remained unaffected. This dampening effect was stronger for female Trump supporters who expressed their gender identity in their Twitter bios than those who did not. Tweet content remained largely unchanged for both genders. These findings en- hance our understanding of how social media and political defeat together contribute to the gender expression gap and its relationship with offline political behaviors post-defeat. They also demonstrate the power of our methodological approach in revealing temporal and individual differences. Creator An entity primarily responsible for making the resource Ross Dahlke 1,�, Yini Zhang Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad051 Publisher An entity responsible for making the resource available Oxford University Press on behalf of International Communication Association. Date A point or period of time associated with an event in the lifecycle of the resource 4 December 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/336c9dcaccc6f14d615360d085e10d8b.pdf 1d0eacac9d0121d751f369781f90732b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Can social media combat gender inequalities in academia? Measuring the prevalence of the Matilda effect in communication Subject The topic of the resource gender inequality, Matilda effect, communication, social media, Twitter. Description An account of the resource This study sought to investigate whether scholarly impact and academic influence differ between men and women in the field of communica- tion and the extent to which the gender gap has persisted on social media platforms, an arena increasingly used for research dissemination. Data were collected from 10,736 articles, published in prominent communication journals between 2012 and 2022, using a combination of three sources: OpenAlex, Altmetric, and Twitter. The gender of 6,827 first authors was identified using ChatGPT, with an accuracy of 0.94. The find- ings confirmed the presence of the Matilda effect, indicating a bias toward male scholars in terms of research performance, academic mobility, and online popularity. Furthermore, the study revealed uneven gains between male and female scholars in their use of social media for research dissemination. These results have implications for how science communities can effectively promote research on social media. Creator An entity primarily responsible for making the resource Yunya Song 1,† , Xiaohui Wang 2,†,�, Guanrong Li1,3 Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad050 Publisher An entity responsible for making the resource available Oxford University Press on behalf of International Communication Association. Date A point or period of time associated with an event in the lifecycle of the resource 30 November 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/48bd45d59c9eb68385e2382a48b837d9.pdf 4b13c0f3d54f0c07f5a80c66327035f7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Programmed differently? Testing for gender differences in Python programming style and quality on GitHub Subject The topic of the resource gender, open-source software, computational methods, intersectional and feminist approaches, HCI. Description An account of the resource The underrepresentation of women in open-source software is frequently attributed to women’s lack of innate aptitude compared to men: natu- ral gender differences in technical ability (Trinkenreich et al., 2021). Approaching code as a form of communication, I conduct a novel empirical 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 quality and style of Python code measured in adherence to PEP-8 guidelines. I found significant gender differences in structure and how Python files are organized. While there is gendered variation in programming style, there is no evidence of gender difference in code quality. Using a 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 gender differences in Python code are a matter of style, not quality. Creator An entity primarily responsible for making the resource Sian ^ Brooke Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad049 Date A point or period of time associated with an event in the lifecycle of the resource 20 November 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/c9dbdc14daafaf0773ffcf0a4bdbf12f.pdf b2a32f95f39b42df7b9568ebf513765a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social media mindsets: a new approach to understanding social media use and psychological well-being Subject The topic of the resource social media, mindsets, psychological well-being, technology, agency, self-control. Description An account of the resource Social media mindsets are the core beliefs that orient individuals’ expectations, behaviors, attributions, and goals about social media’s role in their lives. In four survey studies (N 1⁄4 2,179), we show people hold distinct mindsets about the amount of agency they have over their social media use (“in control” vs. “out of control”) and the valence of its effects (“enhancing” vs. “harmful”) that are meaningfully related to psycho- logical well-being. We develop and apply the Social Media Mindsets scale, revealing that agentic, positive mindsets are associated with better well-being and low-agency, and negative mindsets are associated with worse well-being (Studies 1, 2a, and 2b). Notably, these mindsets explained more variance in relational well-being and psychological distress than other measures (Study 3) and were related to differences in how people used social media and interpreted the time they spent on it (Studies 3 and 4). Our findings introduce a novel potential explanation for heterogeneous social media effects on well-being. Creator An entity primarily responsible for making the resource Angela Y. Lee 1,�, Jeffrey T. Hancock1 Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad048 Publisher An entity responsible for making the resource available Oxford University Press on behalf of International Communication Association. Date A point or period of time associated with an event in the lifecycle of the resource 11 October 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT https://repository.horizon.ac.id/files/original/b3b7b5906c8a7821651978064a4870c5.pdf 4ac448e23431e93e422b0f71617dd9be Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL 29 ISSUE 1 2024 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The gendered lens of AI: examining news imagery across digital spaces Subject The topic of the resource artificial intelligence, media logic, gender, visual framing, digital space. Description An account of the resource This study investigates gender representation in artificial intelligence (AI)-related images across various digital spaces to understand potential biases and visual narratives in the AI domain. We analyzed a dataset of 28,199 images from news media, technology news websites, social media, knowledge-sharing platforms, and other digital spaces. Our findings revealed the prevalence of male faces and the consistent underrepresentation of women across digital spaces. We also found distinct patterns in the visual framing of men and women, with women often portrayed as being disempowered and adhering to traditional gender stereotypes. Furthermore, our cluster analysis demonstrated consistent patterns of gender representation across various visual themes, reinforcing the pervasive nature of gender biases in AI news imagery. In conclusion, our study underscores the need for conscious efforts to promote a more balanced and inclusive portrayal of gender in AI news reporting, calling for a broad societal effort toward advancing gender equality and diversity. Creator An entity primarily responsible for making the resource Yibei Chen1 , Yujia Zhai2 , Shaojing Sun3,* Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmad047 Publisher An entity responsible for making the resource available by Oxford University Press on behalf of International Communication Association. Date A point or period of time associated with an event in the lifecycle of the resource 3 November 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT