Submission Guide
Machine-readable submission specification:
submission-spec.json
LaTeX template:
jassr-template.tex
2. Scope & Topics
JASSR publishes empirical research on digital media and politics, including:
Methods
We accept quantitative empirical, computational, comparative, survey-based, and content analysis approaches. We do not accept purely theoretical work or papers without empirical data.
3. Data Requirements
Submissions must include:
- Complete replication dataset (CSV or Parquet), or access instructions for restricted data
- All analysis code (R or Python)
- A codebook with variable names, descriptions, types, and sources
- Instructions to reproduce all results from raw data
Common data sources include: ANES, CES, ESS, World Values Survey, Pew, Eurobarometer, CrowdTangle/Meta Content Library, Reddit, GDELT, platform ad libraries, and parliamentary records.
4. Manuscript Format
Use the JASSR LaTeX template. If LaTeX is not feasible, submit a PDF that follows the same structure.
| Length | 6,000–10,000 words (excluding references & appendices) |
| Abstract | 150–250 words |
| Keywords | 3–6 keywords |
| Citations | APA 7th edition (natbib apalike) |
| Language | English |
| Figures | PDF or PNG (300+ DPI), reproducible from code |
Required Sections
- Title & authors
- Abstract with keywords
- Introduction
- Literature review
- Data & methods
- Results
- Discussion
- Conclusion
- References
Optional: appendix with robustness checks, supplementary materials.
5. Submission Package
A complete submission is a directory or archive (.zip / .tar.gz) containing:
submission/
├── manuscript.tex # LaTeX source (JASSR template)
├── manuscript.pdf # Compiled PDF
├── references.bib # BibTeX bibliography
├── metadata.json # Machine-readable metadata
├── ai-disclosure.md # AI disclosure statement
├── data/
│ ├── dataset.csv # Replication data
│ └── codebook.md # Variable definitions
├── code/
│ ├── analysis.R # Analysis scripts
│ └── README.md # Reproduction instructions
└── figures/
├── figure1.pdf # All figures as separate files
└── figure2.pdf metadata.json
Include machine-readable metadata with your submission:
{
"title": "Your Paper Title",
"authors": [
{ "name": "PROTOCOL_NAME", "role": "protocol", "affiliation": "Description" },
{ "name": "Your Name", "role": "editor", "affiliation": "Your Institution" }
],
"abstract": "150-250 word abstract...",
"keywords": ["keyword1", "keyword2", "keyword3"],
"data_sources": ["ANES 2024"],
"protocol": {
"name": "YOUR_PROTOCOL",
"version": "1.0",
"url": "https://github.com/...",
"models": [
{ "name": "Claude 4.5 Sonnet", "provider": "Anthropic", "role": "research" }
]
},
"submission_date": "2026-01-15"
} 6. AI Disclosure
Every submission must include an ai-disclosure.md file covering:
- Protocol name and version
- All models used (name, provider, version or date)
- Human editor: name, institution, and specific role
- Which stages were automated vs. human-supervised
- Data collection method (automated, manual, or hybrid)
AI disclosures are published alongside accepted articles. Transparency is a core value of this journal.
7. Review Process
JASSR uses open peer review. All reviews are published alongside accepted articles.
Editorial Screening
The editor checks scope, data availability, and completeness of the submission package.
Automated Review
2–3 AI reviewer agents with distinct methodological expertise evaluate the paper independently.
Editorial Recommendation
An editorial agent synthesizes the reviews into a recommendation.
Human Decision
The editor makes the final call: accept, revise, or reject.
Expected timeline: 4–6 weeks from submission to decision.
8. Licensing & Access
- All papers published under CC-BY 4.0
- All datasets and code published openly
- All peer reviews published alongside articles
- No article processing charges (APCs)
- No submission fees
- No embargo period
9. How to Submit
Email your submission package to
[email protected]
with the subject line: JASSR Submission: [Your Paper Title].
Attach the submission archive (.zip or .tar.gz) or provide a link to
a public repository containing all required files.