Social media platforms are prominent sites where values are expressed, contested, and diffused. In this article, we present a conceptual framework for studying the communication of values on and through social media composed of two dimensions: scale (from individual users to global infrastructures) and explicitness (from the most explicit to the invisible). Utilizing the model, we compare the communication of two values—engagement and authenticity—in user-generated content and policy documents on Twitter and Instagram. We find a split between how users and platforms frame these concepts and discuss the strategic role of ambiguity in value discourse, where idealistic meanings invoked by users positively charge the instrumental applications stressed by platforms. We also show how implicit and explicit articulations of the same value can contradict each other. Finally, we reflect upon tensions within the model, as well as the power relations between the personal, cultural, and infrastructural levels of platform values.
Instagram is the place for the visualization of everything, from travel and food to abstract concepts such as freedom. Over the past decade, the platform has introduced a bottom-up process where users co-produce image repertoires that shape the boundaries of the imaginable. Drawing on an epistemology of social constructionism, we ask which visual repertoires are associated with value-related terms on Instagram. We studied 20 widely used value hashtags, sampling the top 100 posts for each (N = 2,000). A combined qualitative–quantitative content analysis revealed that 19 of the 20 hashtags possess distinct visual footprints, typically reflecting an orientation toward the self and an emphasis on consumption. We conclude by discussing three implications of our findings: the role of images in the social construction of the meaning of values, the distinction between internalized and externalized value depictions, and aestheticized consumption as an organizing principle of Instagram’s mainstream.
This article presents a transnational study of the classification and evaluation of social media content. We conducted a large-scale survey ( N = 4770) in five countries (Germany, Italy, Japan, South Korea, and the United States) with open-ended questions about the types of content people like and dislike. Through iterative and inductive coding, we identified 29 topics, or broad areas of interest, and 213 recurrent genres, or narrower categories that share elements of form and content. We compared the results according to country, gender, age, and education level, identifying patterns of cultural difference and commonality. While we found significant differences in the prominence and preferentiality of content, these distictions were less pronounced for disliked topics around which social media users tended to converge. Finally, we discuss genre imaginaries as normative maps that reflect ideas about morality in general and the purpose of social media in particular.
As sites where social media corporations profess their commitment to principles like community and free speech, policy documents function as boundary objects that navigate diverse audiences, purposes, and interests. This article compares the discourse of values in the Privacy Policies, Terms of Service, and Community Guidelines of five major platforms (Facebook, Instagram, YouTube, Twitter, and TikTok). Through a mixed-methods analysis, we identified frequently mentioned value terms and five overarching principles consistent across platforms: expression, community, safety, choice, and improvement. However, platforms limit their burden to execute these values by selectively assigning responsibility for their enactment, often unloading such responsibility onto users. Moreover, while each of the core values may potentially serve the public good, they can also promote narrow corporate goals. This dual framing allows platforms to strategically reinterpret values to suit their own interests.
Creative coding is a form of postdigital art that uses programming to solve esthetical problems, subordinating functionality to expression. It often comes with rather uncommon usage patterns of coding, going beyond technologies' affordances and finding ways of appropriating them in an individual way and in exchange with others. The learning ecologies GitHub, Stack Overflow, and Pouët present digital infrastructures that curate and support such appropriation-related activities. The paper presents a qualitative analysis of the structure of these spaces, and the appropriation-related communication taking place. It shows how crucial the varying designs of the learning ecologies and the implemented interaction possibilities are for the appropriation activities taking place and draws a line to the desire for stronger participation in postdigital curation.
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