Working as speech acts that delineate online communities, claims to victimhood tend to evoke contestation. Their inherent political nature spurs user engagement in the shape of clicks, shares, emojis, and so on. TikTok’s multimodality has given rise to new practices of engagement that significantly shape how victimhood is communicated and negotiated. This study draws attention to the platform vernacular practice of the ‘stitch.’ Allowing users to respond to someone else by ‘remixing’ social media content of others, the stitch is a platform practice designed for commentary. We zoom in on stitched videos networked by hashtags, published in relation to the Israel-Hamas war. TikTok’s multimodality expands user pathways that connect claimants and those who contest them. Moving beyond hashtag hijacking the stitch elevates a practice of commentary that turns victimhood politics into a spectacle that politicizes formerly less political realms, and that further blurs the boundaries between on- and offline spaces. The analysis shows how stitched videos are especially used for antagonist encounters where they crowd out the ‘original’ post to which they respond. In this way, stitches can be seen as tools that aid platformed ‘regimes’ of visibility that prioritize the antagonist encounter in order to commodify them.
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Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines, the advent of digital media has presented new challenges to the demarcation and study of content. Within Content Analysis, different strategies have been put forward to grapple with these dynamics. And although these approaches each present ways forward for the analysis of web content, they do not yet regard the vast differences between web platforms that serve content, which each have their own ‘technicities,’ e.g. carry their own (often visually undisclosed) formats and formatting, and output their own results and rankings. In this dissertation I therefore develop Networked Content Analysis as a term for such techniques of Content Analysis that are adapted specifically to the study of networked digital media content. The case in question is climate change, one of the major societal challenges of our times, which I study on the web and with search engines, on Wikipedia as well as Twitter. In all, my contribution provides footing for a return to the roots of Content Analysis and at the same time adds to its toolkit the necessary web- and platform-specific research techniques for creating a fine-grained picture of the climate change debate as it takes place across platforms.
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Climate change is one of the key societal challenges of our times, and its debate takes place across scientific disciplines and into the public realm, traversing platforms, sources, and fields of study. The analysis of such mediated debates has a strong tradition, which started in communication science and has since then been applied across a wide range of academic disciplines.So-called ‘content analysis’ provides a means to study (mass) media content in many media shapes and formats to retrieve signs of the zeitgeist, such as cultural phenomena, representation of certain groups, and the resonance of political viewpoints. In the era of big data and digital culture, in which websites and social media platforms produce massive amounts of content and network this through hyperlinks and social media buttons, content analysis needs to become adaptive to the many ways in which digital platforms and engines handle content.This book introduces Networked Content Analysis as a digital research approach, which offers ways forward for students and researchers who want to work with digital methods and tools to study online content. Besides providing a thorough theoretical framework, the book demonstrates new tools and methods for research through case studies that study the climate change debate with search engines, Twitter, and the encyclopedia project of Wikipedia.
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