Friction-free authenticity: mobile social networks and transactional affordances
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper contextualizes and critically examines the incorporation of transactional features into two popular mobile social media apps: Instagram and Snapchat. It examines how mobile social media acts as an interface between culture and commerce. We situate this interface within a larger political economic context in which tech companies are embracing ‘fintech’ to drive growth. We argue that mobile social media platforms play a unique role in monetising personal data and context awareness through their development of ‘transactional affordance’ – a term we develop to understand new features allowing users to connect content to forms of payment. We argue that the success of these affordances is tied to labour associated with the ‘performative authenticity’ of social-media influencers. Our first case study examines the recent development of ‘shopping’ and ‘checkout’ features on Instagram, and the significance of this feature for the economic growth of parent company Facebook. We then look at how the specific development of augmented reality features on Snapchat serve as the basis for new transactional affordances in everyday contexts. We conclude the paper by arguing that the contextual commerce these phenomena entail signals a shift to a transactional culture in which everyday interactions become opportunities for consumption.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it