Kevin Zhang · Journal of Student Research 2023 · observational social media sentiment analysis · n=?

Using Twitter to Investigate the Change in Perceptions of California Senate Bill 328

Cited 0 times in the scientific literature.

Level 4 - case-series / case-control

Observational social media sentiment analysis (graded by design analogy for non-clinical research).

OpenAlex W4391761745 · doi:10.47611/jsrhs.v12i3.5054 · record verified 2026-08-29

What was done

The authors evaluated public perceptions of California Senate Bill 328 (a statewide policy delaying school start times) by analyzing posts on Twitter over time. Specific search strategies, sentiment analysis methods, and timeframes are not detailed in the abstract.

What was found

The abstract reports no numerical values, effect sizes, or test statistics. It states qualitatively that perception of SB328 improved over time but remained negative overall.

Why it matters

Tracking public sentiment helps identify community concerns and potential implementation barriers surrounding state-mandated school start time changes.

Limits

The abstract provides no sample size or details regarding the sentiment classification methodology. Twitter data reflects an unrepresentative self-selected population rather than a balanced sample of affected students, parents, and educators.

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