Deepfake Research Index

2026-10-19 · v0.4.0 · Citations file, MR-0003 voice clones, expert readers and new uncanny-valley studies

2026-10-19T12:00:00Z

- **Site:** - New [/data/citations.json](/data/citations.json): one file with all 54 source records (identifiers, resolver URLs, exact-title search query, every claim with `source_location`, verification) and all 37 findings with their supporting source IDs, for independent verification. `data/studies.json` is unchanged for backward compatibility. - Inline `[source-id]` citations in every metareport and on the homepage now link to `/data/citations.json#`; References entries show the citations.json link, the source record, an APA-style citation and the DOI link; source pages link to their citations.json entry. - citations.json is listed in llms.txt ("Verify the research", first), the llms-full.txt header, index.json, the agent guide, schema.md (new "Citations file" section and locator fields `pmid`, `pmcid`, `arxiv_id`, `openalex_id`, `oa_url`, `source_location`), the homepage, the sitemap, `_headers` and the homepage JSON-LD. - New build errors: citations.json must parse an

MR-0001 v0.4.0: Human Detection of Deepfakes: Accuracy, Bias, Confidence, and Training

2026-10-19T12:00:00Z

How accurately can people tell AI-generated faces, voices, and videos from real ones, and what changes that accuracy?

MR-0002 v0.4.0: The Uncanny Valley and Synthetic Media: Does It Exist, What Causes It, and Have Deepfakes Crossed It?

2026-10-19T12:00:00Z

Is the uncanny valley a real, measurable effect; which mechanisms explain it; and does it still help people notice AI-generated faces and voices?

MR-0003 v0.1.0: Voice Clones and Synthetic Speech: How Well Do People Detect Them?

2026-10-19T12:00:00Z

Can people tell cloned or synthetic voices from real speakers, and what changes that ability?

2026-10-18 · v0.3.0 · Aggregation limits, plausibility, cross-linguistic speech and AI-text training

2026-10-18T12:00:00Z

- **Added 6 source records** (all tier B, peer-reviewed): - [kramer-2026-aggregation-human-ai](/sources/kramer-2026-aggregation-human-ai.md): verified-abstract. - [plohl-2026-political-deepfakes-plausibility](/sources/plohl-2026-political-deepfakes-plausibility.md): verified-abstract. - [san-segundo-2026-audio-language-style](/sources/san-segundo-2026-audio-language-style.md): verified-abstract. - [manhede-2026-online-markets-training](/sources/manhede-2026-online-markets-training.md): verified-fulltext. - [sulimani-2026-recognition-ai-faces](/sources/sulimani-2026-recognition-ai-faces.md): verified-abstract. - [yeung-2026-isthisai-strategies](/sources/yeung-2026-isthisai-strategies.md): verified-abstract (archival conference, AIES). - **[MR-0001](/metareports/human-detection-accuracy.md) v0.3.0:** - New: MR-0001.F14 (content plausibility lowers detection; sharing driven by liking and attitudes) and MR-0001.F15 (listeners rely on prosodic/extralinguistic cues; folk heuris

2026-10-12 · v0.2.0 · Voice clones, training and individual differences

2026-10-12T12:00:00Z

- **Added 7 source records** (all tier B, peer-reviewed): - [ivory-2026-faces-voices-domain](/sources/ivory-2026-faces-voices-domain.md): verified-fulltext. - [lavan-2025-voice-clones-hyperrealism](/sources/lavan-2025-voice-clones-hyperrealism.md): verified-fulltext. - [pehlivanoglu-2026-machines-humans](/sources/pehlivanoglu-2026-machines-humans.md): verified-fulltext (Study 1; Study 2 from abstract). - [dunn-2026-super-recognizers-average](/sources/dunn-2026-super-recognizers-average.md): verified-fulltext (repository version). - [rehman-2025-training-synthetic-faces](/sources/rehman-2025-training-synthetic-faces.md): verified-fulltext. - [dawel-2026-training-ai-faces](/sources/dawel-2026-training-ai-faces.md): verified-abstract. - [kramer-2024-crowds-synthetic-faces](/sources/kramer-2024-crowds-synthetic-faces.md): verified-abstract. - **Verification upgrades:** - [barrington-2025-voice-clones](/sources/barrington-2025-voice-clones.md): unverified → verified-fulltext

2026-10-07 · v0.1.0 · Initial seed release

2026-10-07T12:00:00Z

- **Added metareport** [MR-0001](/metareports/human-detection-accuracy.md): Human Detection of Deepfakes. 11 findings (F1–F11) from 17 sources. - **Added metareport** [MR-0002](/metareports/uncanny-valley-and-synthetic-faces.md): The Uncanny Valley and Synthetic Media. 12 findings (F1–F12) from 22 sources. - **Added** 35 source records, an evidence-briefing homepage (key facts, myths vs evidence, interventions table), data exports (`/data/studies.json`, `/data/studies.csv`), `llms.txt`, `llms-full.txt`, `index.json`, and JSON/Atom feeds. - **Added** [publisher disclosure page](/about/publisher.md), describing Breacher.ai's services. It is kept separate from the research pages. - **Verification at release:** - 9 records checked against full text. - 12 checked against the official abstract. - 2 with metadata/DOI only. - 12 pending. - **Corrections made during verification, before release:** - Mai et al. 2023: 73% is the hit rate on fakes. Overall single-clip accuracy is 70.35%.