1 10 9 https://repository.horizon.ac.id/files/original/185d6fe78c4e1b60ca5a87fa14ec3bae.pdf 97bab14361766060daa62aadb2a78c0c 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 5 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 lonely algorithm problem: the relationship between algorithmic personalization and social connectedness on TikTok Subject The topic of the resource perceived algorithm responsiveness, social identity, social connectedness, daily diary method, TikTok. Description An account of the resource Many major social media companies have claimed that their social feed algorithms were designed to promote relational well-being and enhance social connection. This project tested part of these claims by investigating if algorithmic personalization predicted social connectedness on TikTok, where connecting with identity-relevant media content is prioritized over interpersonal interaction. Drawing from the algorithm responsiveness process, we identified perceived algorithm responsiveness (PAR) and perceived algorithm insensitivity (PAI) as perceptual mechanisms of how algorithmic person- alization relates to social connectedness. In two preregistered studies, an online survey and a 2-week daily diary survey, results suggested that the TikTok For You algorithm curating frequent and positively valenced identity-relevant content was associated with higher PAR and less PAI. In turn, higher levels of PAR predicted more social connectedness, but PAI did not. These findings highlight the sociotechnical dynamics of algorithms, sug- gesting human–algorithm interaction predicted social connectedness not only an algorithm’s code. Creator An entity primarily responsible for making the resource Samuel Hardman Taylor 1,�, Y. Anthony Chen Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae017 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 August 6, 2024 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/5cef57ad3f0e7f923a97ec0fd636c739.pdf 98d8f42eec40479cf13d0689b6d78580 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 5 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 Reinvention mediates impacts of skin tone bias in algorithms: implications for technology diffusion Subject The topic of the resource algorithm bias, diffusion of innovations, technology use, skin tone bias, survey. Description An account of the resource Two studies examine how skin tone bias in image recognition algorithms impacts users’ adoption and usage of image recognition technology. We employed a diffusion of innovations framework to explore perceptions of compatibility, complexity, observability, relative advantage, and re- invention to determine their influence on participants’ utilization of image recognition algorithms. Despite being more likely to encounter algorithm bias, individuals with darker skin tones perceived image recognition algorithms as having greater levels of compatibility and relative advantage, being more observable, and less complex and thus used them more extensively compared to those with lighter skin tones. Individuals with darker skin tones also displayed higher levels of reinvention behaviors, suggesting a potential adaptive response to counteract algorithm biases. Creator An entity primarily responsible for making the resource Hannah Overbye-Thompson 1,�, Kristy A. Hamilton 1 , Dana Mastro1 Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae016 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 July 22, 2024 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/ae3b2734d9e90229385eeeb5ab18e4f6.pdf dd9dd43f0f5798fce6b1b8347f73bcc7 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 5 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 Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots Subject The topic of the resource human–machine communication, generative AI, computational methods, emotion, intimate relationship, multimodal. Description An account of the resource AI chatbots are permeating the socio-emotional realms of human life, presenting both benefits and challenges to interpersonal dynamics and well-being. Despite burgeoning interest in human–AI relationships, the conversational and emotional nuances of real-world, in situ human–AI so- cial interactions remain underexplored. Through computational analysis of a multimodal dataset with over 35,000 screenshots and posts from r/ replika, we identified seven prevalent types of human–AI social interactions: intimate behavior, mundane interaction, self-disclosure, play and fantasy, customization, transgression, and communication breakdown, and examined their associations with six basic human emotions. Our findings suggest the paradox of emotional connection with AI, indicated by the bittersweet emotion in intimate encounters with AI chatbots, and the elevated fear in uncanny valley moments when AI exhibits semblances of mind in deep self-disclosure. Customization characterizes the distinctiveness of AI companionship, positively elevating user experiences, whereas transgression and communication breakdown elicit fear or sadness. Creator An entity primarily responsible for making the resource Han Li 1 , Renwen Zhang Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae015 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 July 16, 2024 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/2b9b97c006aadf79a15f6b818edafa0e.pdf 3d0f2e861d09faf981fb43073919676e 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 5 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 Resilience in the gig economy: digital skills in online freelancing Subject The topic of the resource gig economy, online freelancing, digital skills, digital literacy, precarity, resilience. Description An account of the resource Research on digital inequality suggests that digital skills are integral to participation on gig platforms. Focusing on the case of online freelancing, this article asks what such skills look like and how gig workers translate them into opportunities. Drawing on semi-structured interviews with 21 U.S. online freelancers, I identify moments in which participants approach the gig platform differently because of their digital skills. I find that digital skills enable online freelancers to (1) optimize their use of platform tools, (2) construct alternative pathways when existing tools malfunc- tion, and (3) imagine and blaze new paths that go beyond the platform’s current functionality. These findings suggest that, in the volatile context of gig platforms, digital skills entail not only the ability to leverage platform tools as designed but also the capacity to creatively navigate situa- tions in which the online environment changes, breaks, or proves inadequate for their needs. Creator An entity primarily responsible for making the resource Floor Fiers Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae014 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 July 11, 2024 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/e8ab144578976a40dd8ac78b616fff91.pdf 964a289bd5f8fad14fad07520449006b 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 5 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 Momentary motivations for digital disconnection: an experience sampling study Subject The topic of the resource digital disconnection, motivation, digital well-being, non-use, experience sampling. Description An account of the resource A much-discussed solution for undesirable (over-)use of mobile technologies lies in digital disconnection. Reasons for why individuals reduce their digital media use have been assessed mostly cross-sectionally without accounting for various disconnection practices across everyday sit- uations. This study focuses on three motivations to disconnect that can vary between situations: to (a) avoid distractions, (b) improve well- being, and (c) be more present. A 14-day experience sampling study with 230 young adults (Mage 1⁄4 25.31, SD 1⁄4 4.50) yielded 7,360 situations of disconnective behavior. Multilevel regression analyses show that motivations to avoid distractions and to be more present were relevant for disconnection on the situational level. However, a person’s average level of these motivations did not predict disconnective behavior. The well- being motivation was not associated with disconnection either between or within participants. Additional analyses explore variations across time and different levels of digital disconnection. Creator An entity primarily responsible for making the resource Julius Klingelhoefer 1,�, Alicia Gilbert 2 , Adrian Meier Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae013 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 July 1, 2024 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/6440f1e5af1c919d6d17c1d69819e629.pdf 790de71ab0fd13c6d85557a3ddcf48b7 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 5 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 ostracism/rejection impact self-disclosures? Examining the appeal of perceived social affordances after social threat Subject The topic of the resource perceived social affordances, self-disclosure, ostracism/rejection, relatedness, social media Description An account of the resource Two studies examine how experiencing a social need threat (ostracism and rejection) impacts subsequent preferences for self-disclosure to var- ious digital audiences. Findings consider how contextual/situational factors like need threats may impact the appeal of two established perceived social affordances of media: personalization and privacy/visibility. Participants took part in a (bogus) social media activity to elicit feel- ings of inclusion/ostracization/rejection and then were asked about sharing their media preferences with various potential audiences. Results show that social need threats have no significant impact on privacy preferences but do affect preferences for sharing with some audiences and not others. Notably, ostracized and rejected participants show different patterns of preferences, suggesting these forms of social need threat may have distinct impacts on future self-disclosures. Implications for online relationship development and community building are considered in the discussion. Creator An entity primarily responsible for making the resource Sara M. Grady 1,�, Allison Eden2 , Ron Tamborini2 Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae012 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 July 2, 2024 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/612025a104f2e2415df09e3d58007a3e.pdf 0e85e6c5dd9a28a75c0e4ce26a3a4214 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 5 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 Learning about climate change with algorithmic news? A two-wave panel study examining the role of “news-finds-me” perception Subject The topic of the resource News-finds-me perception, NFM, algorithmic news, discussion network heterogeneity, climate change knowledge. Description An account of the resource In an ambient news environment, people often believe that they can be well-informed without actively seeking news, resulting in the “news- finds-me” (NFM) perception. Leveraging a two-wave panel survey in China (W1 N 1⁄4 1,465; W2 N 1⁄4 1,015), we examined the impact of the NFM perception on climate change knowledge. Findings showed that NFM did not influence climate change knowledge, while algorithmic news atti- tude (ANA) played a mediating role. Specifically, NFM was positively associated with ANA, which in turn facilitated knowledge. Furthermore, this relationship was moderated by discussion network heterogeneity. The positive effect of ANA and the positive indirect effect of NFM on cli- mate change knowledge were stronger among those with a more heterogeneous discussion network. Implications are discussed. Creator An entity primarily responsible for making the resource Yan Su , PhD1 , Chen Luo, PhD2,3,�, Porismita Borah PhD4 Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae010 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 June 11, 2024 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/9c499d482d35015f26c363ed405acf80.pdf f0d7a515909e0703df032667d46c39a7 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 5 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 Enabling and constraining factors of remote informal communication: a socio-technical systems perspective Subject The topic of the resource informal communication, remote work, socio-technical system, sociomateriality, qualitative analysis. Description An account of the resource Informal interactions are vital in daily workplace communication, shaping performance, well-being, collaboration, and overall organizational functioning. However, as the ongoing trends of remote and hybrid work present significant changes and challenges to these interactions, supporting remote informal communication (RIC) becomes urgent. To address this pressing issue, we adopt a socio-technical systems perspective to gain in-depth insights into the enabling and constraining factors related to RIC. Our findings of semi-structured interviews with working adults (N1⁄433) reveal important changes and challenges related to informal communication in the remote work context. We identify eleven interrelated socio-contextual, intrapersonal, and technological factors, culminating in a comprehensive conceptual framework of RIC. Based on our findings, we provide practical recommendations to effectively facilitate RIC in organizations and discuss future research avenues for understanding effective RIC in organizations. Creator An entity primarily responsible for making the resource Vanessa Begemann 1,�, Lisa Handke2 , Nale Lehmann-Willenbrock1 Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae008 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 June 13, 2024 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/1cb514ebe0dd1e31b97f18456a957cbf.pdf fb0e6ee16350e290f994eb7a51fa5128 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 5 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 Correction by distraction: how high-tempo music enhances medical experts’ debunking TikTok videos Subject The topic of the resource multimodal misinformation, COVID-19, TikTok, music, audiovisual features, LC4MP, psychological reactance. Description An account of the resource The spread of multimodal coronavirus disease 2019 (COVID-19) misinformation on social media poses considerable public health risks. Yet lim- ited research has addressed the efficacy of citizen-contributed, multimodal debunking messages, especially the roles of audiovisual structural features. In a between-subject online experiment, we assessed the impacts of misleading TikTok videos promoting the false claim that COVID- 19 vaccines cause infertility and compared the effectiveness of debunking videos from medical experts vs. laypeople. We independently varied the presence of background music. Results showed that while misleading TikTok videos increased misperceptions, most debunking videos ef- fectively countered such misinformation. Notably, compared with laypeople’s testimonial corrections, expert didactic videos benefited more from incorporating high-tempo background music, primarily through the suppression of counterarguing rather than through enhanced encoding. These findings underscore the importance to consider audiovisual structural features, such as background music, as well as the cognitive path- way through distracted counterarguing, in future research on multimodal misinformation and correction. Creator An entity primarily responsible for making the resource Mengyu Li1,†, Gaofei Li1,†, Sijia Yang Source A related resource from which the described resource is derived https://doi.org/10.1093/jcmc/zmae007 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 June 3, 2024 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