Contextual cropping, collateral data

Reimer, Cody

doi:10.1145/3282665.3282673

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Time-lapse photography has sometimes been used to document learning events over time (Baroutsis, 2020; Persohn, 2015) and various researchers have developed methods of multimodal video analysis (Cowan, 2014; Davidsen & Vanderlinde, 2014). The use of screenshots, taken from longer video sequences, and examined in the context of viewing the longer video sequence, has not been extensively examined (Reimer, 2018), although some researchers of popular culture and digital literacies have examined the use of screenshots by video game, laptop, tablet, and smartphone users in formal and informal learning contexts (e.g., Mandau, 2021; Svelch, 2021). Photographs (static images) often fail to capture everything that might be of interest to an educational researcher (Rose, 2016).…”

Section: Collaborating Across Difference With Video/visual Methods: C...mentioning

confidence: 99%

Screenshotting What’s Important in Video Data: An Experiment in Collaborative, Subjective Analysis of Artifactual, Cultural Research with Children

Collier

Kaur

McKinney-Lepp

et al. 2023

International Journal of Qualitative Methods

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When using video and visual methods in qualitative and post-qualitative research, the size and scale of the data set can be overwhelming, particularly for new researchers. Collaborative research teams often work with a code book to systematize and unify their analyses. Interpretive researchers pursuing multi-layered and multi-voiced visual analysis often find it difficult to move away from desires for a single ‘best’ interpretation of what happened. This paper illustrates and interrogates an open and flexible method for ‘thinning’ (screenshotting) video data that we call the ‘Five Images Method’. We offer one unfolding of interpretive processes and tensions and examine how four researchers worked across positionalities to analyse video data. We start with our positionalities in relation to a research study of children creating photographic and written stories of cultural artifacts, carried out over one year. The primary data from the study was generated through online video-conference sessions connecting a university researcher with an elementary class. A second level of data was created through a process of screenshotting, followed by recursive cycles of conversation about the choices of each researcher, and how they were guided by background, geography, roles in relation to child participants, technologies, personal experiences, and so on. Two key incidents that illustrate the potential of the method and the interpretations produced are described. We argue that reducing video data in this way can be both generative and limiting, while also serving as a catalyst for enhanced analysis. The collaborations and relationships built in research teams through slow processes of analysis (and writing!) working across difference also promote evocative and layered learning. Looking at interpretations as multiple can be hampered by longstanding histories of research as intended to produce authentic and singular truths.

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Section: Collaborating Across Difference With Video/visual Methods: C...mentioning

confidence: 99%

Screenshotting What’s Important in Video Data: An Experiment in Collaborative, Subjective Analysis of Artifactual, Cultural Research with Children

Collier

Kaur

McKinney-Lepp

et al. 2023

International Journal of Qualitative Methods

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Sorting Things Out: Critically Assessing the Impact of Reddit's Post Sorting Algorithms on Qualitative Analysis Methods

Lundblade

2023

Proceedings of the 41st ACM International Conference on Design of Communication

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Redefining screenshots: Toward critical literacy of screen capture practices

Švelch

2020

Convergence

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With the help of screenshots, human and nonhuman actors alike document their professional and leisure encounters with screen-based technologies. In this article, I investigate how and why screenshots have come to be understood as faithful visual records of digital culture. By tracing screenshot’s origins to photographic techniques used for capturing medical imaging, oscillograms, and first applications of computer-aided design, I show a lineage of a straightforward mode of representation built on the assumptions of indexicality and iconic resemblance. However, this initially mechanical act of image reproduction has given rise to transformative practices of promotional and artistic screenshots (represented in this article by in-game photography), which subvert the conventions of accurate representation. By contrasting these visual phenomena, I argue for the redefinition of screenshot and show the need for critical literacy of screenshot-based images.

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Contextual cropping, collateral data

Cited by 4 publications

References 7 publications

Screenshotting What’s Important in Video Data: An Experiment in Collaborative, Subjective Analysis of Artifactual, Cultural Research with Children

Screenshotting What’s Important in Video Data: An Experiment in Collaborative, Subjective Analysis of Artifactual, Cultural Research with Children

Sorting Things Out: Critically Assessing the Impact of Reddit's Post Sorting Algorithms on Qualitative Analysis Methods

Redefining screenshots: Toward critical literacy of screen capture practices

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