Interpreting fragmented stories I

Sadler, Neil

doi:10.4324/9780429020889-4

Cited by 2 publications

(2 citation statements)

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“…However, the researchers agreed that trying to develop familiarity with non-linear tweets across a spreadsheet was akin to following headlines across very different publications – or worse, listening to broken conversations between many individuals! Such an interpretative challenge links to tweets being small fragments that are not presented as meaningful wholes within wider communication (Sadler, 2021).…”

Section: Resultsmentioning

confidence: 99%

Noteworthy Disparities With Four CAQDAS Tools: Explorations in Organising Live Twitter Data

Noakes,

Harpur,

Uys

2023

Social Science Computer Review

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Qualitative data analysis software (QDAS) packages that support live data extraction are a relatively recent innovation. Little has been written concerning the research implications of differences in such QDAS packages’ functionalities, and how such disparities might contribute to contrasting analytical opportunities. Consequently, early-stage researchers may experience difficulties in choosing an apt QDAS for Twitter analysis. In response to both methodological gaps, this paper presents a software comparison across the four QDAS tools that support live Twitter data imports, namely, ATLAS.ti™, NVivo™, MAXQDA™ and QDA Miner™. The authors’ QDAS features checklist for these tools spotlights many differences in their functionalities. These disparities were tested through data imports and thematic coding that was derived from the same queries and codebook. The authors’ resultant QDAS experiences were compared during the first activity of a broad qualitative analysis process, ‘organising data’. Notwithstanding large difference in QDAS pricing, it was surprising how much the tools varied for aspects of qualitative research organisation. Notably, the quantum of data extracted for the same query differed, largely due to contrasts in the types and amount of data that the four QDAS could extract. Variations in how each supported visual organisation also shaped researchers’ opportunities for becoming familiar with Twitter users and their tweet content. Such disparities suggest that choosing a suitable QDAS for organising live Twitter data must dovetail with a researcher’s focus: ATLAS.ti accommodates scholars focused on wrangling unstructured data for personal meaning-making, while MAXQDA suits the mixed-methods researcher. QDA Miner’s easy-to-learn user interface suits a highly efficient implementation of methods, whilst NVivo supports relatively rapid analysis of tweet content. Such findings may help guide Twitter social science researchers and others in QDAS tool selection. Future research can explore disparities in other qualitative research phases, or contrast data extraction routes for a variety of microblogging services.

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Section: Resultsmentioning

confidence: 99%

Noteworthy Disparities With Four CAQDAS Tools: Explorations in Organising Live Twitter Data

Noakes,

Harpur,

Uys

2023

Social Science Computer Review

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“…Some quarantine stories’ structures are more complete and coherent, resembling prototypical narratives, as they are more well-planned. Contrarily, Facebook or Twitter updates emphasise immediacy (Sadler, 2021). Tellers used the platform to share their feelings and thoughts about the lockdown and the changes they experienced.…”

Section: Findings and Discussionmentioning

confidence: 99%

Small stories of a key moment: Exploring discursive construction in digital quarantine stories

Ho¹,

Gu²

2023

Discourse Studies

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This study examines the narratives presented on Quarantine Stories, an online platform where users posted their home-quarantine experiences amid the COVID-19 pandemic. It investigates the recurrent themes in quarantine stories and how tellers constructed their lives in isolation. Quarantine stories submitted worldwide were examined via semantic tag and concordance analyses to identify their recurrent themes and narrative elements. The results reveal that digital storytelling allowed tellers and readers to form a community of shared support beyond spatiotemporal boundaries. Most quarantine stories were characterised by fragmentation and simultaneity, whereas others had Labovian narrative structures. The recurrent themes found (quarantine duration, favourite quarantine spots and self-healing) demonstrated how tellers used time stamps to create meaning. The present study contributes to social media research by suggesting the further categorisation of breaking stories into major and minor and by regarding self-reflection as a sub-type of evaluation.

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Interpreting fragmented stories I

Cited by 2 publications

References 0 publications

Noteworthy Disparities With Four CAQDAS Tools: Explorations in Organising Live Twitter Data

Noteworthy Disparities With Four CAQDAS Tools: Explorations in Organising Live Twitter Data

Small stories of a key moment: Exploring discursive construction in digital quarantine stories

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