Paper Citation Record · LEDGER

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms

As of 24 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.19928.

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

pith.paper-citation-record.v1
2412.19928 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:50:32.413309Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact3
verified fuzzy35
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b64cea56-ed58-4230-89cc-141f942b51e8 · outbound

This paper cites OECD Publishing, 2024, accessed on 2024-05-14.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms OECD Publishing, 2024, accessed on 2024-05-14

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.429717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d48e7281-aa4b-48c3-90d0-33dfbf1c8409 · outbound

This paper cites The impact of bullying and cyberbullying on mental health: a systematic review,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms The impact of bullying and cyberbullying on mental health: a systematic review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.415792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a077a4ef-3962-4e2d-b4cc-8c4dda22f2e9 · outbound

This paper cites Cyberbullying among adolescents and online information seeking about mental health,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbullying among adolescents and online information seeking about mental health,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.401216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08af1d7f-6244-4334-97ff-ff9d978d90ff · outbound

This paper cites Cyberbullying: The silent epidemic of the digital age,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbullying: The silent epidemic of the digital age,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.388616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6ce4e01-c27e-430f-81a9-3e97fb957371 · outbound

This paper cites Cyber - bullying detection: A comparative study of cl assification algorithms,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyber - bullying detection: A comparative study of cl assification algorithms,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.375417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29aed808-20f2-4493-84eb-15e61b79c8f6 · outbound

This paper cites Cyberbullying de - tection approaches: A review,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbullying de - tection approaches: A review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.362312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74c45fde-f886-43ea-bfe0-eeb51995fe06 · outbound

This paper cites Cyberbullying detection using deep learning: A comparative stud y,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbullying detection using deep learning: A comparative stud y,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.347885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b768bd6-91e8-40c6-9812-955c6948fa05 · outbound

This paper cites Towards comprehensive cyber - bullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Towards comprehensive cyber - bullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.333642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 020e6116-9dd7-4af3-8fee-083242958888 · outbound

This paper cites Cyberbullying Detection: Exploring Datasets, Technologies, and Approaches on Social Media Platforms.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbullying Detection: Exploring Datasets, Technologies, and Approaches on Social Media Platforms

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:50:32.587210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed0693bd-7157-47a4-8265-69cd65d84c17 · outbound

This paper cites Enhancing cyberbullying detection: A multi-algorithmic approach,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Enhancing cyberbullying detection: A multi-algorithmic approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.319377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84090135-e2e7-46ad-a6b2-4c026cccf4f1 · outbound

This paper cites Enhancing cyberbullying detection on social media using transformer models,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Enhancing cyberbullying detection on social media using transformer models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.304120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e98ac237-a5a0-4802-afea-d03f14715f3f · outbound

This paper cites Cyberbul - lying detection on social media using stacking ensemble learning and enhanced bert,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbul - lying detection on social media using stacking ensemble learning and enhanced bert,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.288788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 63228079-134f-450a-a753-1bc0c1ea4ef2 · outbound

This paper cites Improving cyberbullying detection with user interaction,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Improving cyberbullying detection with user interaction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.274221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef46619a-eda1-48cb-9b9a-364f8df6a9b1 · outbound

This paper cites A large-scale english multi- label twitter dataset for cyberbullying and online abuse detection,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms A large-scale english multi- label twitter dataset for cyberbullying and online abuse detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.259550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c459670b-9ccb-49d2-b133-0cd34e4a29bb · outbound

This paper cites Generalisation of cyberbullying detection,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Generalisation of cyberbullying detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.243832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8b006d1-3919-4caa-b818-1daf268eb014 · outbound

This paper cites A labeled dataset for investigating cyberbullying content patterns in instagram,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms A labeled dataset for investigating cyberbullying content patterns in instagram,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.229840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36d6d790-ea47-49a5-82ad-3a3e840d8f20 · outbound

This paper cites Comparison of machine learning and deep learning models for detecting cyberbul - lying,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Comparison of machine learning and deep learning models for detecting cyberbul - lying,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.215478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87760b30-2083-4d23-933c-04e2e24f8d7e · outbound

This paper cites Optimal online cyberbullying detection,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Optimal online cyberbullying detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.201022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 88ff6b8d-0d8b-4e3e-bc7f-f95a10120649 · outbound

This paper cites Offensive language detection for low resource language using deep sequence model,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Offensive language detection for low resource language using deep sequence model,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.187854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ab309b6-e93f-44ca-b144-809c78181e4b · outbound

This paper cites Offensiveness, hate, emotion and GPT: Benchmarking GPT3.5 and GPT4 as classifiers on Twitter-specific datasets,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Offensiveness, hate, emotion and GPT: Benchmarking GPT3.5 and GPT4 as classifiers on Twitter-specific datasets,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.175178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 00c3dafa-1b37-4b1d-b047-c5f3862aced6 · outbound

This paper cites Deep learning algorithms for cyber-bulling detection in social media platforms,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Deep learning algorithms for cyber-bulling detection in social media platforms,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.161767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3abcf2b8-d5a3-43df-b201-a2789f0a212d · outbound

This paper cites C yberbullying detection using machine learning and deep learning,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms C yberbullying detection using machine learning and deep learning,

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-10T23:50:32.334307Z

Source-reported events for the cited work

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Observation 90984bfc-23b6-4a8c-a5ba-3db4987d434d · outbound

This paper cites Cyber bullying detection for hindi -english language using machine learning,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyber bullying detection for hindi -english language using machine learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.042215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8178a02e-0263-4aa0-8629-fa6f4c96c9d6 · outbound

This paper cites An application to detect cyberbullying using machine learning and deep learning techniques,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms An application to detect cyberbullying using machine learning and deep learning techniques,

Reference 24

Resolution: verified exact; doi, observed 2026-08-10T23:50:32.467849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 506fd9d5-a406-4a49-b76e-d10e9456756e · outbound

This paper cites Cyberbullying detection using deep transfer learning,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbullying detection using deep transfer learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.027926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation faa41372-0d51-4736-b6d0-9741b0dbe0f0 · outbound

This paper cites Detecting Hate Speech with GPT-3.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Detecting Hate Speech with GPT-3

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:50:32.350806Z

Source-reported events for the cited work

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Observation 74380889-477f-454e-bbfe-cd5242fbbce5 · outbound

This paper cites Cyber- bullying detection in social networks: Artificial intelligence approach,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyber- bullying detection in social networks: Artificial intelligence approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:33.013414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39d2c069-3a37-48db-ba3c-d1be9b5d7a57 · outbound

This paper cites Multilingual hate speech and offensive language detection of low resource languages,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Multilingual hate speech and offensive language detection of low resource languages,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.997396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69fef778-2dac-4bd1-88ec-9ce76fb7bc83 · outbound

This paper cites Cyberbullying detection using pre-trained bert model,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Cyberbullying detection using pre-trained bert model,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.770924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab1ca0bf-149a-41d6-b006-6b6375b678b1 · outbound

This paper cites Robertanet: Enhanced roberta transformer based model for cyberbullying detection with glove features,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Robertanet: Enhanced roberta transformer based model for cyberbullying detection with glove features,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.754790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1afba700-0eb1-429d-b483-67ae3d677d06 · outbound

This paper cites The use of a large language model for cyberbullying detection,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms The use of a large language model for cyberbullying detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.738014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50ea9b34-dc57-4e86-982a-392a0b1e11c5 · outbound

This paper cites Bias and cyberbullying detection and data generation using transformer artificial intelligence models and top large language models,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Bias and cyberbullying detection and data generation using transformer artificial intelligence models and top large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.703620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7eff370f-d295-4e93-8cd9-52e5fad2fa6c · outbound

This paper cites Enhancing aggression detection using gpt-2 based data balancing technique,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Enhancing aggression detection using gpt-2 based data balancing technique,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.687272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1db5bed-64e3-49a5-8585-bb5ec6733374 · outbound

This paper cites Ammus : A survey of transformer-based pretrained models in natural language processing,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Ammus : A survey of transformer-based pretrained models in natural language processing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.669731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5158aa76-aecd-48db-9ae0-897844862434 · outbound

This paper cites Transformers:.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Transformers:

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.652723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ecce26c0-9f25-4b05-9bee-c8eeba4ef161 · outbound

This paper cites Comparison of large language and vision models on repre - sentative downstream tasks,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Comparison of large language and vision models on repre - sentative downstream tasks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.636546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2052bc09-e0a3-46cb-aed8-bdfe15154a21 · outbound

This paper cites Sosnet: A graph convolutional network approach to fine -grained cyberbullying detection,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Sosnet: A graph convolutional network approach to fine -grained cyberbullying detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.618393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3627f712-4eaf-4eb1-a855-7817eed64cf0 · outbound

This paper cites Bullytype: Impro ving and advancing cyber bullying types detection framework based on transformers approach,.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Bullytype: Impro ving and advancing cyber bullying types detection framework based on transformers approach,

Reference 38

Resolution: verified exact; doi, observed 2026-08-10T23:50:32.452344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44e39648-6fec-4918-ac54-8ace48267ea3 · outbound

This paper cites in Computer Science and Technology at the School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, China.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms in Computer Science and Technology at the School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, China

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.602658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa39f588-6f70-474b-b43a-591a4d080130 · outbound

This paper cites Available: https://www.mdpi.com/2813-2203/2/3/38.

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms Available: https://www.mdpi.com/2813-2203/2/3/38

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:50:32.720192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.