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| Source | Tool | Data captured | Time‑frame | |--------|------|----------------|------------| | (original upload + re‑uploads) | YouTube Data API v3 | View count, likes/dislikes, comment count, upload dates, video length, tags | 2023‑06‑01 → 2024‑03‑31 | | TikTok (short‑clip reposts) | TikTok Scraper (unofficial) + CrowdTangle | Views, shares, hashtags, user bios | Same period | | Instagram Reels | Instagram Graph API (Business account) | Impressions, saves, comments | Same period | | WebXmaza.com | Wayback Machine snapshots + custom scraper | Original article text, meta‑tags, embedded affiliate links | 2023‑06‑01 → 2023‑06‑30 | | Comments | NLTK + spaCy + VADER sentiment | Tokenised text, sentiment polarity, topic clusters | All platforms |

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: The "American Basic Girl" aesthetic from the mid-2010s (crop tops, short shorts, and leggings) is seeing a massive comeback in current college fashion. | Source | Tool | Data captured |

| Theme | Core References | Take‑aways for this study | |-------|----------------|---------------------------| | | Berger & Milkman (2012, J. Marketing ); Wu & Huberman (2007, PNAS ); Lerman & Ghosh (2010, WWW ) | Emotional arousal + network structure drive sharing; platform recommendation engines amplify “early‑burst” content. | | Platform algorithms | Covington, Adams & Sargin (2016, RecSys ); Davidson et al. (2020, ICWSM ) | TikTok/YouTube recommendation pipelines prioritize watch‑time and “completion rate”. | | Gendered media framing | Gill (2007, Sexualization of Culture ); Banet‑Weiser (2012, Gender & Society ) | “Babe” terminology functions as a cultural trope that both objectifies and empowers, contingent on context. | | Monetisation of UGC | Cunningham & Craig (2019, Media Economics ); Abidin (2021, Influencer Culture ) | Influencer‑style videos embed affiliate links, brand deals, and ad‑revenue sharing, often without clear disclosure. | | Ethics & regulation | European Commission (2022, Digital Services Act ); FTC (2021, Endorsement Guides ) | Disclosure requirements for paid placements; platform responsibility for harmful content. | | | Platform algorithms | Covington, Adams &

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– The video’s early uptake on TikTok’s “For You” feed triggered a cascade that fed back into YouTube’s recommendation engine (cross‑platform synergy). This mirrors the “snowball” effect described by Lerman & Ghosh (2010).

: (i) longitudinal tracking of post‑viral “legacy” effects (e.g., brand perception), (ii) comparative studies across different cultural contexts (e.g., “College Babe” vs. “College Guy” videos), and (iii) policy‑oriented evaluations of disclosure enforcement on emerging short‑form platforms.