Sloansmoans Twitter Jun 2026

| Variable | Source | Timeframe | Volume | |----------|--------|-----------|--------| | Tweets (original) | Twitter Academic API (v2) | 2022‑01‑01 → 2022‑12‑31 | 8 742 | | Retweets (by others) | Same API | 2022‑01‑01 → 2022‑12‑31 | 5 321 | | Replies (to SloanSmOans) | Same API | 2022‑01‑01 → 2022‑12‑31 | 2 104 | | Followers list (public) | API endpoint /followers | 2022‑12‑31 snapshot | 45 124 | | Followed accounts (friends) | API endpoint /following | 2022‑12‑31 snapshot | 312 |

(hereafter “SloanSmOans”) exemplifies this class. Since 2018 the account has amassed ~45 k followers, posting ~7 tweets per day, primarily consisting of meme‑styled images, short satirical observations, and occasional calls for charitable donations. Its self‑description— “Sloan’s musings on life, memes, and the occasional cause. No politics, just jokes… mostly.” —positions it as a “soft‑political” voice that nonetheless engages with hot‑button topics (e.g., climate change, gender equity) through humor.

The “SloanSmOans” Phenomenon on Twitter: A Mixed‑Methods Case Study of Content, Community, and Influence in Contemporary Digital Discourse sloansmoans twitter

A team of two coders performed on a random stratified sample of 500 tweets (≈ 6 % of the corpus). Coding categories included:

All data were stored in a secure, encrypted PostgreSQL database. Personal identifying information (usernames) was pseudonymized for analysis and reporting. | Variable | Source | Timeframe | Volume

: Replying to followers and participating in trending hashtags to stay relevant.

Humor scholars have long argued that satire functions as a “critical lens” that can both subvert and reinforce dominant ideologies (Gray, Jones, & Thompson, 2009). In digital environments, humor is often operationalized through , defined as “cultural units that spread via imitation and remixing” (Shifman, 2014). Recent work shows that meme circulation on Twitter correlates with spikes in political engagement (Wang & McKee, 2022) and can act as a low‑threshold entry point for political participation (Molyneux & Holton, 2020). No politics, just jokes… mostly

revealed an overall positive skew (mean VADER compound = 0.31). The joy emotion dominated (NRC frequency = 42 % of tokens), while anger and sadness were marginal (< 5 %). However, spikes of anger coincided with political event bursts (e.g., “midterm results” in November).

We recruited 20 voluntary followers via a public DM invitation, obtaining informed consent per APA (2017) standards. Semi‑structured interviews (30 min each) explored motivations for following, perceived influence, and attitudes toward the account’s charitable calls. Interviews were transcribed and thematically analyzed.

This study asks three core questions:

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