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Cultural Motifs of Big Data in User-Generated Content
No full textThis project examines the sensemaking around Big Data in user-generated content on Reddit, Facebook, and Twitter/X. Big Data is not only a technology but an issue of public concern. Yet given that the buzzword “Big Data” has been around for more than a decade, there is a dearth of knowledge about how the cultural motifs used to make sense of the notion have changed over time. Little is known too about how Big Data has featured in user-generated content that could equally reverberate or dispute the views established by elite forums of news and high-profile publications. To fill this gap, we use a semi-automated content analysis for examining the ensuing discourse around “Big Data” over a period of ten years. We focus on cultural motifs that anchor Big Data frames in sensemaking. Combing manual annotation with classification models and BERT* techniques, we found three dominating cultural motifs out of seven that either pivot on profits and prediction, a shift in datafying society, or innovations for societal progress. The motifs encapsulate a range of topics that point us to a diversity of adjoining discourses on datafication writ-large
Rethinking Coping in Chronic Pain – A systematic review and dynamic interaction model of coping
No full textLiving with chronic pain presents significant challenges and disruptions, thus motivating the use of coping strategies to manage pain and its impact in everyday life. Yet how individuals cope with chronic pain and why some people show better functional outcomes is not clearly understood. Previous literature on coping has often focused on describing different coping strategies and their comparative effectiveness, often with the assumption that some are overall more adaptive. Existing theoretical models of coping often lack descriptions of how factors unfold over time and assume relationships between factors remain stable. However, pain coping is not only influenced by continuously changing internal and external contextual factors, but by changing interactions as the process reiterates over time. Moreover, the short- and long-term efficacy of different coping approaches depends on individual appraisal and changing contextual demands. In this review, we first synthesise selected theoretical models of coping in health-related stress or pain that were identified through a systematic search. Next, we present the ‘Dynamic Interaction Model of Coping in Chronic Pain’ which builds on concepts from the stress and coping literature to address gaps in the selected models. Specifically, we outline how five central factors: 1) controllability, 2) predictability, 3) salience, 4) resources, and 5) motivation, interact in a dynamic coping process guided by updating predictions, feedback, and expectations. The model outlines putative pathways of moment-to-moment and long-term adaptations to chronic pain, and potential targets for intervention
Felt Time Scale (FTS): Measuring How People Experience Screen Time
No full textOur field has been questioning whether self-reported media use actually captures the time spent using media, resulting in a shift from subjective to objective measurements. We advocate for a new paradigm that, instead of abandoning subjectivity, places it at the center of our research. To this end, we introduce a novel theoretical and methodological framework called felt time, which captures nuances in how individuals perceive the passage of time while interacting with media. In two studies (N1=68, N2=1,030), we develop and validate a measure called the Felt Time Scale (FTS) and its short version (FTS-S), revealing that studies relying on subjective self-reports or the more objective, tracked screen time may have overlooked a critical dimension of users’ media experience: felt time. We validate the scale in the context of screen media use and show empirically that screen engagement situationally alters how people feel time, producing unique effects. We conclude by proposing future directions that integrate this perspective, aiming to foster a more comprehensive understanding of screen time
Exploring How the Hairstyle Choices Impact Impressions of Black Women in Tech Among Black Female Participants (Study 2)
No full textThe primary goal of this experiment is to examine whether different hairstyle choices impact Black female participants impression of Black women working in tech. For the current study, we will use 4 sets of well-matched pictures, featuring a Black women with either curly hair, braids, or straight hair (i.e., 12 total pictures). The Black women will all be described as working in the technology sector. Black female participants will rate all 12 pictures and thus, this study will have a 4 (picture set) by 3 (hairstyle) within-subjects design. We are interested whether prototypicality of hairstyles (i.e., braids, straight hair, curly hair) affect Black female participants’ perceptions of the Black women
Novel method of Rubber Hand Illusion strength measurement based on inverse multidimensional scaling
No full textUnveiling social status signals and their consequences. Evidence from a cross-national factorial survey experiment.
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Utilizing Social Foraging as a Framework for Studying Decisions in Groups.
No full textA key goal of the behavioral sciences is to understand how agents decide between rewarding, hazardous, and conflicting options. Foraging theory, which is rooted in ecology and evolutionary theory, has helped advance this pursuit but has largely been limited to the study of the individual. In this Perspective, we extend beyond an individual. We propose social foraging as a promising avenue to study social decisions, or decisions within a social context. Recent research has already applied similar paradigms to study social behavior in naturalistic conditions. We synthesize the key socio-cognitive elements involved in social foraging that can be further studied through foraging paradigms. We then propose a social foraging framework that distinguishes between the asocial and social components involved in the decision-making process and describes their integration. Our framework bridges research across disciplines to provide a promising new avenue for the study of social behavior by linking decisions across different scales, from individuals to collectives
