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Paper Citation Record · LEDGER

Investigating Algorithmic Bias in YouTube Shorts

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.04605.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.04605 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:49:51.163643Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T21:18:01.626348Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfe6d92a-46b5-4694-aaae-967bfbca885a · outbound

This paper cites Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content.

Investigating Algorithmic Bias in YouTube Shorts Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:49:52.377070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:48.396826Z digest=sha256:cc633c8be9843dd6397db9a68ff98fb2eab8b578e9103b0b69162fc835d3bf5f

Observation 6c0686d4-1051-45a7-9100-138d73ee334e · outbound

This paper cites Aubin, C., Liedke, J.: Social Media and News Fact Sheet.

Investigating Algorithmic Bias in YouTube Shorts Aubin, C., Liedke, J.: Social Media and News Fact Sheet

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:57.598499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:48.479704Z digest=sha256:4a790694f6ef162974097bd37b3895c763db01f2bc82dc740c52421dd037e739

Observation cd5ed153-e938-4e1d-823f-40ba2d703f30 · outbound

This paper cites Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends.

Investigating Algorithmic Bias in YouTube Shorts Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:49:52.103230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:48.586458Z digest=sha256:fc5b5a418c513730fbf3b8ca9c321bd977465defc9529b0320ceedb82a8bea05

Observation 76cecbdc-2851-4184-bed0-787dc673074c · outbound

This paper cites Michigan Journal of International Law 45(1), 93–154 (2024).

Investigating Algorithmic Bias in YouTube Shorts Michigan Journal of International Law 45(1), 93–154 (2024)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:57.264914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:48.700880Z digest=sha256:e529eec84b7db04a8583d8ea6a45dbd3993658c02e5fe023c3d7e1dc931b9637

Observation 487a1af9-68ce-4651-a480-d360ca856a14 · outbound

This paper cites The New York Times.

Investigating Algorithmic Bias in YouTube Shorts The New York Times

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.936874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:48.841989Z digest=sha256:10013c1be5aa8ecb10b3480eb16c3a29e7d4a35b65d0d9a735f7ed815ffca1b6

Observation f4150697-2a1c-4ae7-84c6-b69d49ca4b33 · outbound

This paper cites In: Boratto, L., Faralli, S., Marras, M., Stilo, G.

Investigating Algorithmic Bias in YouTube Shorts In: Boratto, L., Faralli, S., Marras, M., Stilo, G

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.725836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:48.908836Z digest=sha256:48518bbd406757eeaf271130823589b12325e864bfa07f1495807a9b51f5467d

Observation 9ddea253-a28f-4b72-8abe-07c0b27e2535 · outbound

This paper cites Applied Network Science 10(1), 1–38 (2025).

Investigating Algorithmic Bias in YouTube Shorts Applied Network Science 10(1), 1–38 (2025)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.556214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:48.972469Z digest=sha256:e78fd85c2ed4854e83c51b1d615ba084cbd3e0e0d0a8c13eca4fb43230c99ae3

Observation 731f249e-25c0-4175-a215-7aa45475d1d0 · outbound

This paper cites In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pp.

Investigating Algorithmic Bias in YouTube Shorts In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pp

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.343390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.043944Z digest=sha256:3150e88c3742c05f6b5514755ce7a3c7631c0e82ab34d4955f994fae81aedb7a

Observation a84a49c5-70b7-494e-98db-a883e7dbdf7c · outbound

This paper cites In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M.

Investigating Algorithmic Bias in YouTube Shorts In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:56.040158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.119768Z digest=sha256:44db1208c6a3a5be746144fb4e7511105a9bc18527a02fcb8a2081e83beed69c

Observation 54832680-f034-4a8b-b616-2ee5461a0764 · outbound

This paper cites Social Network Analysis and Mining 14(1), 1–42 (2024).

Investigating Algorithmic Bias in YouTube Shorts Social Network Analysis and Mining 14(1), 1–42 (2024)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:55.830256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.179013Z digest=sha256:79e54f5e1244b2f60b94ad1fbf3c771198820d5a42874373790f1b38116c4499

Observation 696d067b-6dc0-4218-931a-62062582071c · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:55.628096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.233810Z digest=sha256:bcac54f3849a740e4bd39e129164f0700831d630941614ca0d91fd82ecdb892b

Observation 8bc735ed-7835-463b-bab8-a9184b4c0848 · outbound

This paper cites In: International Confer- ence on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp.

Investigating Algorithmic Bias in YouTube Shorts In: International Confer- ence on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:55.418412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.276526Z digest=sha256:e588654e306d3b0b2ca583a2bd36367c371688f4c6670a64fe5f75de0a3fa614

Observation 4e2adc83-f9e2-481c-85bd-f0d5caa3d656 · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:55.169596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.400147Z digest=sha256:5a30f481e20931b0ec0bd6220b4fd24537f9d316ed82ff26eca30c426d6049a4

Observation 95a07760-3eed-41c5-8dd5-92a94c2fdfa0 · outbound

This paper cites In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp.

Investigating Algorithmic Bias in YouTube Shorts In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:54.853686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.539978Z digest=sha256:9062fd02203e395f04597b93ce1e87cc8e6bc1b1e4768b90d0ec00991cce0862

Observation 8c4ddf98-234a-45b9-9ea5-6fdbffe0884e · outbound

This paper cites PBS News.

Investigating Algorithmic Bias in YouTube Shorts PBS News

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:54.547854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.678787Z digest=sha256:04d78eca2a633ac6de3d4592c448cd46bd99c956a4e9c8c516706b45f879e309

Observation 6877582d-bc72-43c9-8a06-d61e123eb042 · outbound

This paper cites https://www.atlanticcouncil.org/ programs/digital-forensic-research-lab/.

Investigating Algorithmic Bias in YouTube Shorts https://www.atlanticcouncil.org/ programs/digital-forensic-research-lab/

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:54.186039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.819997Z digest=sha256:349fe44e0a17b60ad931ae9f4843925baec7b0d0079e99e4b64bd4bfe1c78d17

Observation 3f9c4391-91c0-4c4f-9bd5-87d161f38594 · outbound

This paper cites https://cil.nus.edu.sg/research/ocean-law-policy/south-china-sea/.

Investigating Algorithmic Bias in YouTube Shorts https://cil.nus.edu.sg/research/ocean-law-policy/south-china-sea/

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:53.883733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.900556Z digest=sha256:b822245038cf3df2e4f1ed50b7b00effcf1ad44e5c23a2587159dd826c507956

Observation f2a8c268-42be-4441-a11c-9730ac9fe79f · outbound

This paper cites https://entreresource.com/ youtube-video-categories-full-list-explained-and-which-you-should-use/.

Investigating Algorithmic Bias in YouTube Shorts https://entreresource.com/ youtube-video-categories-full-list-explained-and-which-you-should-use/

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:53.542065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:49.983169Z digest=sha256:87b626b914664d73d33720002e8d95603ff8a697f1d848db3ecf2813d0802cfe

Observation d4f329be-8613-4652-b5ae-a322a7898ca7 · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:53.367756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:50.108566Z digest=sha256:82160ef5f56b8ff6ec8cd6bd94d73642c6e839ef167199998bb8f7aa70f5145a

Observation de1c937f-43bb-4605-8920-f5d434531d65 · outbound

This paper cites In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.

Investigating Algorithmic Bias in YouTube Shorts In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.192703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.192703Z digest=sha256:fa93a490e32daf240930ec7efc69c38b90e148cc95548ae47b1932ed20c96f83

Observation e4193ce1-6e8f-4f78-9660-d466e1a2f424 · outbound

This paper cites In: 2024 IEEE Interna- tional Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.

Investigating Algorithmic Bias in YouTube Shorts In: 2024 IEEE Interna- tional Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.346123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.346123Z digest=sha256:7f91caab8e286a0c013a9ed8f5fb942df274c518412f1f7e3fc813ea5ff0043a

Observation 82f5b115-fc22-4d85-8338-6d8104ac6a25 · outbound

This paper cites IEEE Engineering Management Review 52(2), 153– 164 (2024) https://doi.org/10.1109/EMR.2024.3353338.

Investigating Algorithmic Bias in YouTube Shorts IEEE Engineering Management Review 52(2), 153– 164 (2024) https://doi.org/10.1109/EMR.2024.3353338

Reference 22

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:49:51.685753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:50.458737Z digest=sha256:cdae953508cfc416bc6c22f645e5fa7a132a631a57b065c55952780ed52bb1cf

Observation 04181dfa-1c90-48d7-be89-56d08dfba3ba · outbound

This paper cites GoEmotions: A Dataset of Fine-Grained Emotions.

Investigating Algorithmic Bias in YouTube Shorts GoEmotions: A Dataset of Fine-Grained Emotions

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.539841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.539841Z digest=sha256:6037ab564a7bf4d719c0d3a21351a6701ee3622cdae896b2ea9f59e9cf0c4885

Observation da0a59a0-2026-418e-970d-ccf47725c810 · outbound

This paper cites DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset.

Investigating Algorithmic Bias in YouTube Shorts DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.667870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.667870Z digest=sha256:387b47e0a25ae4ac7ee59e6fcca8c19212fb122b324fb9dcecb82b69ba30ded3

Observation 851cfc17-cd93-4e7a-8512-f056f160a875 · outbound

This paper cites https://www.kaggle.com/datasets/bhavikjikadara/ bbc-news-articles.

Investigating Algorithmic Bias in YouTube Shorts https://www.kaggle.com/datasets/bhavikjikadara/ bbc-news-articles

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:53.116078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:50.793542Z digest=sha256:7659fdad96ad7df202e344c225cd91500f6fb98dc9d276c0d52cd805c4569f54

Observation 9eeb1a10-8378-41e7-b1a4-9b87148b4105 · outbound

This paper cites News Category Dataset.

Investigating Algorithmic Bias in YouTube Shorts News Category Dataset

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:49:50.960554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.960554Z digest=sha256:d72520f3401ed0e2259826222ae254dc285c12becbcd5b781dbb15dc4c58521f

Observation e7d7aeb0-d741-485e-974b-74e0bb9c38cd · outbound

This paper cites an unresolved cited work.

Investigating Algorithmic Bias in YouTube Shorts Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:49:52.892989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:51.057179Z digest=sha256:6ca8bf67e972ae366a49f52a4d0f923c642a0f391e99e3ee46c8b09bf1659009

Observation 66663864-a3d0-4755-ab3f-88c1104c8189 · outbound

This paper cites In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.

Investigating Algorithmic Bias in YouTube Shorts In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:49:52.657024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:49:51.163643Z digest=sha256:0158cea8c9acba7b313a761c824f7ce11bbe99925ff9d725895340115c469435

Pith citing papers

Observation 2807107a-3a71-4fc8-8f4d-169024e3c248 · inbound

Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok cites this paper.

Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok Investigating Algorithmic Bias in YouTube Shorts

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T21:18:01.626348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:18:01.626348Z digest=sha256:e89a8ebe690f4836305812d670e56c693b868c79f8253da74911ce78049b0fca