AI for Qualitative Analysis of Oral Histories

A short documentary highlighted by Ms. Magazine offers a focused oral-history dataset that researchers can analyze with AI-enabled workflows for thematic coding, frequency counts, and cross-segment comparisons.

• According to Ms. Magazine, the film Selma Sisters March On is 27 minutes long and centers Alice and Denise Thomas, who were 16 and 14 in 1965, respectively (published Aug. 6, 2026).
• Ms. Magazine reports that Alice and Denise were among 300 people who completed the entire 54-mile Selma to Montgomery march on March 1965, and within a year after the Voting Rights Act was signed in August 1965, half of Black people in Alabama were registered to vote (Ms. Magazine, Aug. 6, 2026).
• Ms. Magazine documents legal context with exact rulings: the Supreme Court decision in Shelby County v. Holder in 2013 and the April 29, 2026 decision in Louisiana v. Callais, which the article says dismantled Section 2 of the Voting Rights Act (Ms. Magazine, Aug. 6, 2026).

What happened: Ms. Magazine reports that Selma Sisters March On is a 27-minute short documentary that pairs first-person interviews with archival footage to document two teenagers' activism in 1965.

According to Ms. Magazine, the film features Alice and Denise Thomas describing their experiences marching with SNCC and facing arrests and tear gas in March 1965, and the article reproduces multiple verbatim quotes from the sisters.

Researchers can treat the film as a multi-modal oral-history dataset: audio interviews, interview transcripts, and linked archival images, all described by Ms. Magazine as combined into the 27-minute film.

Because Ms. Magazine includes dates and counts, such as the sisters' ages in 1965 and the 54-mile march completion count of about 300 people, researchers can anchor qualitative themes to precise temporal and numeric markers.

Answer: The Selma Sisters case shows that short documentary interviews are high-value oral-history sources for rapid thematic analysis, if researchers preserve transcripts and metadata.

According to Ms. Magazine, the film pairs interview audio with archival material, which means researchers should capture interview transcripts, timestamps, speaker metadata, and archival source IDs before analysis.

Researchers who follow Ms. Magazine's chronology can map themes to dates such as March 1965 and April 29, 2026 to study continuity and change across six decades, and the article's cited statistics make temporal anchoring straightforward.

Ethics note: Because oral histories include personal testimony, these analyses are non-diagnostic and research-focused; researchers must follow consent and privacy best practices when sharing transcripts or derived datasets.

The Selma Sisters short film, as described by Ms. Magazine, is a tight, date-rich oral-history dataset that researchers can analyze rapidly when they combine accurate transcripts, metadata, and AI-enabled thematic tools.

Researchers should extract verbatim quotes such as Alice's "Anybody of color [who] tried to register, they were degraded. People had different tests, " and Denise's "We went to jail every day, " both quoted in Ms. Magazine, then map those quotes to policy dates like August 1965 and April 29, 2026 for impact analysis.

If you want to move from footage to thematic findings, Evidano automates transcription, custom dictionary handling, thematic coding, and exportable visualizations so teams can reproducibly analyze oral histories (see Evidano features).

Try Evidano for free to process interview audio, extract quotes, and run thematic synthesis: Try Evidano for free.