Visual media analysis for Instagram and other online platforms

Abstract

Instagram is currently the social media platform most associated with online images (and their analysis), but images from other platforms also can be collected and grouped, arrayed by similarity, stacked, matched, stained, labelled, depicted as network, placed side by side and otherwise analytically displayed. In the following, the initial focus is on Instagram, together with certain schools of thought such as Instagramism and Instagrammatics for its aesthetic and visual cultural study. Building on those two approaches, it subsequently focuses on other web and social media platforms, such as Google Image Search, Twitter, Facebook and 4chan. It provides demonstrations of how querying techniques create online image collections, and how these sets are analytically grouped through arrangements collectively referred to as metapictures.

Deep state phobia: Narrative convergence in coronavirus conspiracism on Instagram

“…Such new media affordances as the hashtag have been theorized as the basis of a profound historical transformation toward more “flexible” and “personalized” forms of political engagement (Bennett and Segerberg, 2012: 744). Indeed, digital methods research on Instagram treats such hashtags as markers of distinct political discussions or of an “issue space” (Rogers, 2021: 6). In the context of presumedly conspiratorial discourse, it is be fruitful to consider hashtags constitutive role in broader ‘political narratives’ (Patterson and Monroe, 1998), in this case compelling stories about the way that the world actually works, set against a broader context of extreme polarization and even existential uncertainty.…”

What are data sprints for?

“…The method was first proposed in 2017 and later refined and implemented in other projects and sprints. In addition to specific cases, data sprints play a role in a broader agenda for generating visual and vision-reproducible methods (see the work of D'Andrea & Mintz, 2019; Pearce & De Gaetano, 2021;Niederer & Colombo, 2019;and Rogers, 2021).…”

Factors Influencing Users’ Satisfaction Towards Image Use in Social Media: A PLS-SEM Analysis

“…Rogers [11] discussed that there was an evolution on image use. It started with digital images during the 1990s, networked images on 2000s and image use in social media since 2010s.…”