Pith. sign in

Paper Citation Record · LEDGER

Investigating Algorithmic Bias in YouTube Shorts

As of 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:48.396826Z digest=sha256:891ce515959236edd746426979ad606fa25b056bfea85222e38db0ba68a4d1d1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:48.479704Z digest=sha256:7671c76fdceb785c26640f5dade8816bc5e0b92b5bb1cb343ce7c1d8cf32f727

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:48.586458Z digest=sha256:338c76b9741f7bee176a0b3676f8a5013514af770c5f47b937a354a8ae917422

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:48.700880Z digest=sha256:1425761a99106d15b787c12c0caf4d8c161464dbc2ce748e4b228f002fa336c6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:48.841989Z digest=sha256:bfedf0360ad2ffb45027e91792c73b62138987d961f52945ef63f70953bee5a1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:48.908836Z digest=sha256:e12b8321a9eacbb6b6864a8ebab84ddf2c7e69d27d95acbf118bd405676dc136

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:48.972469Z digest=sha256:a4fc3401ef2f5c4b869b6e9b93650bd5be83a00ca7733d905f370f6ff8e8f2c9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.043944Z digest=sha256:d01b390f9b2a1d706b88ea212c2dff745142f779b7fa89834acd52924853b610

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.119768Z digest=sha256:424bf2dfa688c2e0edee795b903f24f2512f6dac8f572d4baa8f11053b701238

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.179013Z digest=sha256:0ff6af88f1254665c26f02baeb6238b420e8ca45506e3ea822707d4061987f5b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.233810Z digest=sha256:9e926f492d690c7d629b96ec972decf61ee2bb1766c979b1e9d25fab56ee1afa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.276526Z digest=sha256:aa4388707bfd7cdd6a0172240a04faa95d0a272bd357f189f95f5609b7b2f110

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.400147Z digest=sha256:ce854baf554a12adb33076d662e8af1bf0bf3f5e51d54dc5cfbeab920967d428

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.539978Z digest=sha256:24e59e01409ef2e9f7926179c55510fe5aeea41c921b1867ba59738d2f197b11

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.678787Z digest=sha256:fb5cc9e8806bbb8d47cc674b99275e0c06cf1375e554986836ddcd01a2fd8219

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.819997Z digest=sha256:34d3a1ff7f837254764516d0bf22b3d596451a9b06080c6eaef90e4027ad1ec2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.900556Z digest=sha256:bbded90eb81aa13f7e4969669df3e5c3bb50a48ff1fea6c2a174acdde6fb2e39

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:49.983169Z digest=sha256:255b6d718f27a6151913e5d1d0c6eae1d1bf46ac99e69e5be030cd66139ffb1f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:50.108566Z digest=sha256:04ab120a9f27964c891bac6fe503d18d49ec340f9865c756d21c31a58d020ba7

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=sha256:075276892ef5d4d27c4ccb80168c9a945efb76210f02c290139228b549d2fe40

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=sha256:2355f0d7a7ee830b7ca9bb66eae230ecc9574c142d75b01563be6f0abf0a48fb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:50.458737Z digest=sha256:aa2254777b719b126dccab3586eba0316237860fdd635f8b098be40e69de974c

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:b7396abe144ee3ab135252e027e7760c8fd7804e845fca7176f40be6cf0cb0cc

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=sha256:192a2ad8ebd43553269859d9fdf57ce0fa08a771da7e7bbfaef3a6fb07bf0b68

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:50.793542Z digest=sha256:fe61f2712f08352df58a67cf8792110dff7bce3d77055d0ed3457d0519b7d8ec

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=sha256:32eea8ce60b8039f29db70d1c0ceedd5a0601f2ef10fe8da0cb91134eb467fa6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:51.057179Z digest=sha256:6fcc604579e9e35c3f9c51884c4b4eca3f3fa86ee3eea2d793c7abf6e33c2de8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:49:51.163643Z digest=sha256:859826adcbb1cfa12d5ddc24a7a4a9b7b50ce7a6e4526c7485cad3ae74152e5d

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:b896659e82cce91306bea3d817cd4760872dd9200fc43e52d2379857aac1838c