This post shows how researchers can apply AI-enabled qualitative research to analyze community zines, using the Journey Lines zine as a worked example. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to spacing.ca, the Journey Lines zine centers queer, trans, femme, Black and people of colour (QTBIPOC) cycling narratives and launched with paid contributor work in spring 2025. This guide is written for qualitative researchers, community arts researchers, and UX/advocacy teams who need reproducible methods to extract themes, multimedia cues, and cross-segment patterns from mixed-format zine content. The primary keyword for this guide is "qualitative analysis of zines" and the next sections give an answer-first roadmap, concrete quotes, dated facts, and tooling recommendations you can act on today.
Key Takeaways
Journey Lines surfaces QTBIPOC cycling stories and priorities that foreground mutual safety and space-taking, according to spacing.ca.
According to spacing.ca, contributors were paid and the launch was held in spring 2025, which affects ethical practice and consent design for analysis.
- According to spacing.ca, editors paid contributors $150 each to produce pieces, a concrete budgetary detail relevant to compensating participants (payment announced by co-editor Jess Nachman).
- According to spacing.ca, the zine launched in spring 2025 and the interview was published on July 23, 2026, dates that anchor timeline-based coding and follow-up research.
- According to spacing.ca, designer Sylver Sterling brings 9 years of community-oriented design experience to the project, which shapes the zine’s visual language.
- According to contributor quotes in spacing.ca, the zine’s contributors assert "We keep ourselves safe, " a theme you should code under mutual care and safety rather than only road safety.
What Happened: Journey Lines, who, when, and why
Answer: Journey Lines is a participatory, arts-based zine project that amplifies QTBIPOC cycling experiences and launched with paid contributors and a spring 2025 in-person event, according to spacing.ca.
According to spacing.ca, the three co-editors (Rachel Wang, Sylver Sterling, and Jess Nachman) conceived the zine after receiving a LUSH Charity Pot grant more than a year before publication, and they intentionally paid contributors to avoid extractive practices.
According to spacing.ca, contributions are multimedia: written pieces, visual illustrations, linocut, and soundscapes linked by QR codes, which requires multimodal ingestion for analysis.
According to spacing.ca, dominant themes reported by editors and contributors include mutual safety practices, taking up space on roads, cross-movement solidarity, and contested relationships with police, which should guide initial codebook design.
Findings Snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| July 23, 2026 | Article publication | Interview published on spacing.ca | Use this date to timestamp citations and follow-up analysis; according to spacing.ca. |
| Spring 2025 | Launch event | In-person launch at Tranzac | Treat event recordings and attendance as primary data sources; according to spacing.ca. |
| 2026 (interview) | Contributor payment | $150 paid per contributor | Document compensation in ethics record and consent forms; according to spacing.ca. |
| , | Editorial experience | Sylver Sterling, 9 years experience | Visual design choices reflect practiced community-design approaches; according to spacing.ca. |
Implications for qualitative researchers and community researchers
Answer: Researchers should treat zines as multimodal, participatory data that require ethics, multimodal transcription, and community-centered coding, according to spacing.ca.
- According to spacing.ca, compensation of $150 per contributor changes consent expectations and supports non-extractive research workflows.
- According to spacing.ca, multimedia elements (soundscapes and QR-linked audio) require synchronized transcription and annotation, not just plain-text coding.
- According to spacing.ca, themes such as mutual safety and cross-movement solidarity should be elevated in codebooks rather than forcing zine content into preexisting cycling safety categories.
How Evidano Helps
Problem: Multimodal zine content is scattered and hard to synthesize
Answer: Evidano ingests mixed-format materials so teams can analyze text, images, and audio together.
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents, and Evidano can ingest PDF zines, transcribe QR-linked audio, and attach image annotations for unified coding; see Evidano features.
Problem: Teams need reproducible thematic and cross-segment analysis
Answer: Evidano automates thematic extraction and frequency analysis while preserving provenance.
Evidano can generate initial code suggestions, run frequency and co-occurrence analyses across contributor segments, and let human analysts refine codes, which maps directly to the Journey Lines need to compare safety narratives across contributors; learn more at Evidano features.
Problem: Audio and QR-linked soundscapes require accurate transcriptions
Answer: Evidano offers speech-to-text with custom dictionaries and PII redaction.
Evidano’s transcription pipeline supports uploaded soundscapes and can apply custom lexicons for community-specific terms and names, which helps capture quotes like "We keep ourselves safe, " verbatim; see Evidano speech-to-text.
Problem: Team discussion and rapid sensemaking are slow
Answer: Evidano provides AI chat over documents and visualizations to accelerate synthesis.
Evidano’s AI chat lets teams ask natural-language questions of the zine corpus, surface supporting quotes, and export visual co-occurrence maps so researchers can present findings to community stakeholders with traceable evidence; explore Evidano AI chatbot.
FAQ: qualitative analysis of zines
How do I transcribe audio embedded in a zine for analysis?
Answer: Transcribe embedded audio with time-aligned speech-to-text, then merge transcripts with page-level metadata.
According to spacing.ca, Journey Lines uses QR-linked soundscapes, so researchers should export each audio file, run a reliable transcription workflow, and attach timestamps to visual pages for cross-modal coding.
How should I design a codebook for a participatory zine?
Answer: Start with inductive codes from contributors, then add deductive codes for policy themes like safety and policing.
According to spacing.ca, Journey Lines contributors emphasize mutual care and contested policing, so include codes for "mutual safety, " "taking up space, " and "police relationships, " and record example quotes for each code.
Can AI help surface marginalized voices without misrepresenting them?
Answer: AI can accelerate coding but must be combined with community review to avoid misrepresentation.
According to best practice guidance on participatory research and as illustrated by the Journey Lines editorial approach in spacing.ca, you should use AI to suggest themes and then have contributors review interpretations before publication.
What ethical steps are essential when analyzing community zines?
Answer: Document compensation, consent, and community review, and treat contributors as co-creators not subjects.
According to spacing.ca, Journey Lines paid contributors and invited co-creation at the launch, which you should mirror by recording payment, consent terms, and opportunities for contributors to validate analysis outputs.
Conclusion & Next Steps
Answer: Journey Lines shows that zines are rich multimodal data sources that require participatory ethics and multimodal analysis workflows, according to spacing.ca.
According to spacing.ca, concrete details such as $150 contributor payments and the spring 2025 launch change how researchers document consent and compensation in their protocols.
If you want a reproducible workflow for zine analysis that handles PDFs, audio, images, and collaborative coding, try integrating AI-assisted ingestion, transcription, and thematic and cross-segment analysis into your project plan with Evidano.
Start your project by uploading your zine assets, designing an initial inductive codebook from contributor quotes, and scheduling community validation sessions. Try Evidano for free.