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Paper Citation Record · LEDGER

Involvement drives complexity of language in online debates

As of 18 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2506.22098.

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

pith.paper-citation-record.v1
2506.22098 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:15:57.128483Z

measured 76 of 76 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 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

76 of 76 outbound references displayed

  • verified exact2
  • verified fuzzy63
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15540dd5-d335-4b99-9c47-0432d13e1895 · outbound

This paper cites The Cambridge encyclopedia of the English language.

Involvement drives complexity of language in online debates The Cambridge encyclopedia of the English language

Reference 1

Resolution
verified fuzzy
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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.

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Observation 30480fbc-d162-480e-b467-d9c630f600fd · outbound

This paper cites Language contact, creolization, and genetic linguistics.

Involvement drives complexity of language in online debates Language contact, creolization, and genetic linguistics

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.568337Z

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.

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Observation 743e1121-1313-4133-a2ae-966b9204037d · outbound

This paper cites Mediatization and sociolinguistic change, volume 36.

Involvement drives complexity of language in online debates Mediatization and sociolinguistic change, volume 36

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.489956Z

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.

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Observation 10800ee2-2ddd-422a-b857-874e3823de23 · outbound

This paper cites Evaluating the effect of viral posts on social media engagement.

Involvement drives complexity of language in online debates Evaluating the effect of viral posts on social media engagement

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.419842Z

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=2026-08-06T22:15:53.094638Z digest=sha256:b837a61baecbee0d2887ee2f9ce40bfa221ab6e2c4d90b375466155f2a06c585

Observation fcf8749a-5c6c-4c2d-91c4-6ef3557c4383 · outbound

This paper cites Filter bubbles, echo chambers, and online news consumption.

Involvement drives complexity of language in online debates Filter bubbles, echo chambers, and online news consumption

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.331477Z

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.

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Observation d045140b-b740-4a77-8eef-aed85f81383a · outbound

This paper cites The echo chamber effect on social media.

Involvement drives complexity of language in online debates The echo chamber effect on social media

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.248986Z

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=2026-08-06T22:15:53.197949Z digest=sha256:ada8fb30c4858b0ff40bba131053c5e8768b19c4823bfc77f1fd74483f989c11

Observation 94bfccd3-30df-4198-9ac9-60fd79543ad1 · outbound

This paper cites Like-minded sources on facebook are prevalent but not polarizing.

Involvement drives complexity of language in online debates Like-minded sources on facebook are prevalent but not polarizing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.180041Z

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=2026-08-06T22:15:53.248769Z digest=sha256:6f5e9d40f579c52666a9e846eaa1f66f0f5fb6a0cc54d6a1789de1fd31275e62

Observation 4f26b58e-e79d-4d78-a9de-0e6213de81a7 · outbound

This paper cites Social media, political polarization, and political disinformation: A review of the scientific literature.

Involvement drives complexity of language in online debates Social media, political polarization, and political disinformation: A review of the scientific literature

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.106102Z

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=2026-08-06T22:15:53.305657Z digest=sha256:0f6bd297311bc6f8000ea979614bbd9603404b67c253eb2b33793d4b9a27c349

Observation d10dce2e-c298-49e4-a2bb-fb5dbb98a696 · outbound

This paper cites Growing polarization around climate change on social media.

Involvement drives complexity of language in online debates Growing polarization around climate change on social media

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:05.051052Z

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=2026-08-06T22:15:53.358712Z digest=sha256:777b82f2e8ac6ab60bdc33d9635e138e9ab1bbb73e475ead04b48d715e1c97f9

Observation 7056a3c3-d757-42f3-84dc-11d575357595 · outbound

This paper cites Se l’uomo non basta: Speranze e timori nell’uso della tecnologia contro Covid-19.

Involvement drives complexity of language in online debates Se l’uomo non basta: Speranze e timori nell’uso della tecnologia contro Covid-19

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.989655Z

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=2026-08-06T22:15:53.409827Z digest=sha256:5eb2e27ef9f71f3a2097acbde3e906033986e5f83df56788a5210770ae5dbbdd

Observation 1d556671-f583-4ad5-857e-609511bb2514 · outbound

This paper cites Eugene Stanley, and Walter Quattrociocchi.

Involvement drives complexity of language in online debates Eugene Stanley, and Walter Quattrociocchi

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:53.458905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ff3377f-254b-41bf-a935-cd07aebdb68f · outbound

This paper cites an unresolved cited work.

Involvement drives complexity of language in online debates Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:16:04.913343Z

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=2026-08-06T22:15:53.511843Z digest=sha256:b7e6ba402be42c23a25aae89956e766663ce44abb6941d0663574e42a50a2337

Observation 16ed21f9-127b-4ec2-8a49-f29ed5428e67 · outbound

This paper cites Internet, social media and online hate speech.

Involvement drives complexity of language in online debates Internet, social media and online hate speech

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.831595Z

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=2026-08-06T22:15:53.546265Z digest=sha256:1b3e112fe6f92f720e89cb18eea68b95456e0e4c76f54f5980cb84b84f5c7546

Observation 9298dc6f-ed81-4a6d-a268-149b4e57e3ef · outbound

This paper cites Online hate speech.

Involvement drives complexity of language in online debates Online hate speech

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.760430Z

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=2026-08-06T22:15:53.579226Z digest=sha256:c55fd3e95427532e37633840de7ac6aac4246feb2c80f608d06e2773b308d4d6

Observation dfd0ee3f-343b-48af-bad8-0ef371d91cf2 · outbound

This paper cites A large-scale behavioural analysis of bots and humans on twitter.

Involvement drives complexity of language in online debates A large-scale behavioural analysis of bots and humans on twitter

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.682618Z

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=2026-08-06T22:15:53.630703Z digest=sha256:d8a1dd9bce7506a9667d4b98ff37cb135c16c13fbcd85054fe11bc31b41335aa

Observation c2982a2a-c945-4bd5-b08a-cbfd632639e6 · outbound

This paper cites Persistent interaction patterns across social media platforms and over time.

Involvement drives complexity of language in online debates Persistent interaction patterns across social media platforms and over time

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.627151Z

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=2026-08-06T22:15:53.687855Z digest=sha256:ded2d61043e7c290fdcb2c794ee656d6c2dccf57256f278cc48a5e7fa3ede18b

Observation dda595a4-7794-4a14-ab35-4ce7538e5475 · outbound

This paper cites Ideological Fragmentation of the Social Media Ecosystem: From echo chambers to echo platforms.

Involvement drives complexity of language in online debates Ideological Fragmentation of the Social Media Ecosystem: From echo chambers to echo platforms

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:53.752441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:53.752441Z digest=sha256:d10852d42ca75420b47e4c1285a74d2689bd4ac118b6ee909a437a16e74dadba

Observation a5950221-0cf2-4a4a-9e08-6689c8ae0bfe · outbound

This paper cites Sentiment analysis with nlp on twitter data.

Involvement drives complexity of language in online debates Sentiment analysis with nlp on twitter data

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.570078Z

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.

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Observation 2bc49725-5ec9-46f2-a211-06bd7f06f3c7 · outbound

This paper cites Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter.

Involvement drives complexity of language in online debates Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.506826Z

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.

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Observation cb089dae-12f3-451c-97cf-e0c012f117f2 · outbound

This paper cites Inference of social media opinion trends in 2022 italian elections.

Involvement drives complexity of language in online debates Inference of social media opinion trends in 2022 italian elections

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.435669Z

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.

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Observation 4e583902-53bc-41ab-96f3-17823552ac48 · outbound

This paper cites Using the president’s tweets to understand political diversion in the age of social media.

Involvement drives complexity of language in online debates Using the president’s tweets to understand political diversion in the age of social media

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.356410Z

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=2026-08-06T22:15:54.036275Z digest=sha256:dc5b04be4699522fddd38a042259c10f5e68c2f8d2c78379b8e8e61730f5089e

Observation 49203e60-7a0f-453c-8780-5daaa0dbf0de · outbound

This paper cites Twitter as arena for the authentic outsider: exploring the social media campaigns of trump and clinton in the 2016 us presidential election.

Involvement drives complexity of language in online debates Twitter as arena for the authentic outsider: exploring the social media campaigns of trump and clinton in the 2016 us presidential election

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.297088Z

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=2026-08-06T22:15:54.099363Z digest=sha256:f654a854d092e32e64d70ca870811508799e55f1839794515c7b0dd7a75829cb

Observation 85687243-bf26-4724-ba6f-1e91ef60095e · outbound

This paper cites Use of sentiment analysis for capturing patient experience from free-text comments posted online.

Involvement drives complexity of language in online debates Use of sentiment analysis for capturing patient experience from free-text comments posted online

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.231570Z

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.

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Observation f27ca435-4857-44d7-82e9-97730e80a9da · outbound

This paper cites Sentiment analysis of comment texts based on bilstm.

Involvement drives complexity of language in online debates Sentiment analysis of comment texts based on bilstm

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.147147Z

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=2026-08-06T22:15:54.215684Z digest=sha256:4e6ee040e3a4e4b9c7f9029fe6677f13c48f49389d32de92fea6db4f4fc3cbae

Observation 5bae79ed-b21e-43a0-91be-0a4fedb72ef0 · outbound

This paper cites Sentiment analysis of comments in social media.

Involvement drives complexity of language in online debates Sentiment analysis of comments in social media

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:04.075126Z

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=2026-08-06T22:15:54.285428Z digest=sha256:7f563b592d2de6318a1eb227aeee143528946cb12baa8bf403d3ec3759c2e250

Observation fb9bf5c2-e27c-4e85-b802-c242a510b0bb · outbound

This paper cites Inferring latent user properties from texts published in social media.

Involvement drives complexity of language in online debates Inferring latent user properties from texts published in social media

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.966612Z

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=2026-08-06T22:15:54.337956Z digest=sha256:d9b98267dfb520d16a01ffe618d12b09102a1cd0a31806a9de408b9f28e83a3d

Observation f6c4de62-7082-41c3-9863-124822d29fe1 · outbound

This paper cites Evolution of the most common english words and phrases over the centuries.

Involvement drives complexity of language in online debates Evolution of the most common english words and phrases over the centuries

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.873305Z

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=2026-08-06T22:15:54.401431Z digest=sha256:1cf45c0b7980e24fb59ade47a52aac1ab4b5b3f483874e2731b16a4add727393

Observation ecd414af-1ea5-4e60-8745-b2710a89a33e · outbound

This paper cites Measurement of the size of general english vocabulary through the elementary grades and high school.

Involvement drives complexity of language in online debates Measurement of the size of general english vocabulary through the elementary grades and high school

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.733172Z

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=2026-08-06T22:15:54.461395Z digest=sha256:6c3fe495246c81e53f6d26f3c500a4816ee5629dbeb2a4529528c2c83a54b32e

Observation df5c8f49-1853-4189-85e2-4e7b91719491 · outbound

This paper cites Breadth of vocabulary and advanced english study: An empirical investigation.

Involvement drives complexity of language in online debates Breadth of vocabulary and advanced english study: An empirical investigation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.571634Z

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=2026-08-06T22:15:54.520204Z digest=sha256:f260e159b3d66bd5ff1ac45b5fb5f1e03ac5deb4756e2f1f90ef84029d6de3a4

Observation 1f3c829e-cf8b-4a91-8847-c3a323cb0042 · outbound

This paper cites V ocabulary size revisited: the link between vocabulary size and academic achievement.

Involvement drives complexity of language in online debates V ocabulary size revisited: the link between vocabulary size and academic achievement

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.375554Z

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=2026-08-06T22:15:54.565108Z digest=sha256:19f6222d6fd950bbad5ca6635825c74ac4992ace4fe5b65b2d0b45e4bb2fa316

Observation dacee7b5-2db7-46c7-86cd-f99177e3f3f7 · outbound

This paper cites Always on: Language in an online and mobile world.

Involvement drives complexity of language in online debates Always on: Language in an online and mobile world

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.282077Z

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=2026-08-06T22:15:54.622216Z digest=sha256:3fd0c85965b2d9e40202af5e783c0545079354129f9088a61e4d678acb64f8f1

Observation bd466243-ff04-444e-a920-66fbb250d994 · outbound

This paper cites Because internet: Understanding the new rules of language.

Involvement drives complexity of language in online debates Because internet: Understanding the new rules of language

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.199382Z

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=2026-08-06T22:15:54.671868Z digest=sha256:01b56283741b1252784d6ab9f02b45c07a1e4e0edfb62a061af33cd86a476c7a

Observation c0f44913-3816-44a3-852e-55df734617db · outbound

This paper cites Discourse of Twitter and social media.

Involvement drives complexity of language in online debates Discourse of Twitter and social media

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:03.065820Z

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=2026-08-06T22:15:54.726159Z digest=sha256:ce5133c494b9e70d1ddec143b5056a62e024faa12137424e1d41bfb1d97abee3

Observation 387b57b8-a763-4ef0-8b22-5a86656ffa31 · outbound

This paper cites Words onscreen: The fate of reading in a digital world.

Involvement drives complexity of language in online debates Words onscreen: The fate of reading in a digital world

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.940275Z

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=2026-08-06T22:15:54.800839Z digest=sha256:e2ff828a08a720258ee271a092864d45dc29599367c0549527f289ec938f0b90

Observation 59594a14-9759-41b3-84b5-fb9f1b55a64a · outbound

This paper cites Di Marco, Edoardo Loru, Anita Bonetti, Alessandra Olga Grazia Serra, Matteo Cinelli, and Walter Quattro- ciocchi.

Involvement drives complexity of language in online debates Di Marco, Edoardo Loru, Anita Bonetti, Alessandra Olga Grazia Serra, Matteo Cinelli, and Walter Quattro- ciocchi

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.831305Z

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=2026-08-06T22:15:54.962974Z digest=sha256:4c7dbcac706738c1b8d8a2469ed7271f07b1ed554e443f01d91f228b4471703f

Observation a6e5a9fd-f453-4d82-91a8-87492903c8c0 · outbound

This paper cites Highly engaging events reveal semantic and temporal compression in online community discourse.

Involvement drives complexity of language in online debates Highly engaging events reveal semantic and temporal compression in online community discourse

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.613018Z

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=2026-08-06T22:15:55.003335Z digest=sha256:539d0d112988b8a7dd43c8e62952f64db3bfb93d27bcd1bbeb032e581dff31a0

Observation 760e2585-886e-45fd-bec1-0ab77eb61b81 · outbound

This paper cites Song lyrics have become simpler and more repetitive over the last five decades.

Involvement drives complexity of language in online debates Song lyrics have become simpler and more repetitive over the last five decades

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.477984Z

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=2026-08-06T22:15:55.034623Z digest=sha256:d5d04d05fa57f1aa26fb7e3df64ded3dd1d11cf271f13b6674020196e791c12d

Observation e071f6b9-227d-4162-9a2c-d01c1e2d2650 · outbound

This paper cites Decoding Musical Evolution Through Network Science.

Involvement drives complexity of language in online debates Decoding Musical Evolution Through Network Science

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:15:57.906588Z

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=2026-08-06T22:15:55.085064Z digest=sha256:2dbb7a8829850407f8805dfb95d777bced82948cacec37a576a85e6b19ce06e8

Observation 31990063-d71f-4cc1-a424-078675431bb3 · outbound

This paper cites Who sets the agenda on social media? ideology and polarization in online debates.

Involvement drives complexity of language in online debates Who sets the agenda on social media? ideology and polarization in online debates

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:55.122032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:55.122032Z digest=sha256:e1d4c5f5e52e71716dc75f6dbad425637897db617005f7aa873c29908feea126

Observation 80cb7ef8-619f-4122-a0e8-f5b15486256c · outbound

This paper cites Tweets in time of conflict: A public dataset tracking the twitter discourse on the war between Ukraine and Russia.

Involvement drives complexity of language in online debates Tweets in time of conflict: A public dataset tracking the twitter discourse on the war between Ukraine and Russia

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.403529Z

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=2026-08-06T22:15:55.172612Z digest=sha256:51ee6b866b68cf54ae3f13fac038e661a832f84f27cf34fb0c766fc05131c194

Observation d2912eeb-2fff-41d8-8d7e-40277701ec30 · outbound

This paper cites quanteda: An r package for the quantitative analysis of textual data.

Involvement drives complexity of language in online debates quanteda: An r package for the quantitative analysis of textual data

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.313577Z

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=2026-08-06T22:15:55.209458Z digest=sha256:520281e0e17fd7e1230d5c81a2e096b17faa34837bdc1c32d17e9244a47f3848

Observation fb574a15-613e-4cf8-9900-b92b193ac22f · outbound

This paper cites Republicans are flagged more often than democrats for sharing misinformation on x’s community notes.

Involvement drives complexity of language in online debates Republicans are flagged more often than democrats for sharing misinformation on x’s community notes

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.205766Z

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=2026-08-06T22:15:55.252417Z digest=sha256:c7d1ed228703ec1e3e75dec01b5e6cb64489f3e55806a9f47fadc77ca129dc9d

Observation 8ef067a0-98d2-432a-9200-0cff6c0fb5ac · outbound

This paper cites Chatgpt outperforms crowd workers for text-annotation tasks.

Involvement drives complexity of language in online debates Chatgpt outperforms crowd workers for text-annotation tasks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:55.318215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:55.318215Z digest=sha256:f194c075bb829272e37cc20aa2190829f1eed7820b069a4f8135f521c21c99fa

Observation fba13313-3f48-4d63-8344-ebff654880f0 · outbound

This paper cites Predicting the topical stance and political leaning of media using tweets.

Involvement drives complexity of language in online debates Predicting the topical stance and political leaning of media using tweets

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:02.111221Z

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=2026-08-06T22:15:55.358420Z digest=sha256:87e4a847dbff3ebc382881f7116fe6ecaa0e34a79fd8c4629776166828fa4fe5

Observation fb76de9d-4982-41aa-b60c-5aa72ad00ca5 · outbound

This paper cites Political polarization of news media and influencers on twitter in the 2016 and 2020 us presidential elections.

Involvement drives complexity of language in online debates Political polarization of news media and influencers on twitter in the 2016 and 2020 us presidential elections

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.958487Z

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=2026-08-06T22:15:55.397324Z digest=sha256:f9ee9cfdc04a7cc184ade6e595fa90003e8ca2f7ecdbfb7ab3201a697f01d115

Observation af075d83-531f-4bbb-916c-fbd2a9ac2e06 · outbound

This paper cites TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification.

Involvement drives complexity of language in online debates TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:55.431065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:55.431065Z digest=sha256:b5de83ffeb6a271c0f8df0dda8f2db345c9e5a699c0b879d4c478ba8c6e77974

Observation 5fe4d75a-e3a8-4564-a89f-ebc3a0f107de · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Involvement drives complexity of language in online debates RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:55.465921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:55.465921Z digest=sha256:8cb9ef280d9f3d693508c2ab43cebcafa87ea924b187e108527628490e032163

Observation 280f7123-518e-42dd-b09c-c28db97ea60d · outbound

This paper cites Xlm-roberta based sentiment analysis of tweets on metaverse and 6g.

Involvement drives complexity of language in online debates Xlm-roberta based sentiment analysis of tweets on metaverse and 6g

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.846361Z

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=2026-08-06T22:15:55.504754Z digest=sha256:de2431c3f5d1b2659926ac852f65ce2b5c00e832f4387c9dbbbd8a2bf950e52f

Observation 199e10f0-7caa-4ffc-a8f4-988b1cf36dda · outbound

This paper cites Sentiment analysis in tweets: an assessment study from classical to modern word representation models.

Involvement drives complexity of language in online debates Sentiment analysis in tweets: an assessment study from classical to modern word representation models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.701643Z

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=2026-08-06T22:15:55.548437Z digest=sha256:3253b11dcef87f9775ba6c36f6ae949607f644706d1d81ff58220b2b86b16192

Observation 7df8b606-0c2c-4192-9994-5069853080ed · outbound

This paper cites Analyzing sentiments: A comprehensive study of roberta-based sentiment analysis on twitters.

Involvement drives complexity of language in online debates Analyzing sentiments: A comprehensive study of roberta-based sentiment analysis on twitters

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.533595Z

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=2026-08-06T22:15:55.603266Z digest=sha256:7d2687e61f7aaad62147f17b1fbd533edf43251b5e13f227929b19eb031c85c9

Observation 4d051f92-d4d7-437a-be76-54404b64d0e0 · outbound

This paper cites Transformer models for recognizing abusive language an investigation and review on tweeteval and solid dataset.

Involvement drives complexity of language in online debates Transformer models for recognizing abusive language an investigation and review on tweeteval and solid dataset

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.371440Z

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=2026-08-06T22:15:55.649971Z digest=sha256:bcee179ae99429ef7f9394237fd8593e78471cc673f0984015507027f8770782

Observation 9e0c3fc2-2461-4c8e-a5aa-556eb0110853 · outbound

This paper cites Roberta-lstm: a hybrid model for sentiment analysis with transformer and recurrent neural network.

Involvement drives complexity of language in online debates Roberta-lstm: a hybrid model for sentiment analysis with transformer and recurrent neural network

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.264088Z

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=2026-08-06T22:15:55.707237Z digest=sha256:7f49c268a3efbd6efe5b345aa65fde9a0fbeb03bfc9a4718de75be99572583c9

Observation 4f55328d-bd60-46a2-ad9e-2e6cec62f0d2 · outbound

This paper cites BERTweet: A pre-trained language model for English Tweets.

Involvement drives complexity of language in online debates BERTweet: A pre-trained language model for English Tweets

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:55.735911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:55.735911Z digest=sha256:c80f1948d93c63ad9df661553926af1b4954211138ef1b9a99bed9697b1abf4e

Observation ea945bb0-3545-4b41-bdab-dacc2427b286 · outbound

This paper cites TweetEval: Unified benchmark and comparative evaluation for tweet classification.

Involvement drives complexity of language in online debates TweetEval: Unified benchmark and comparative evaluation for tweet classification

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.178965Z

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=2026-08-06T22:15:55.771126Z digest=sha256:2235deedecd07df1e22af1e41a04fdf660ea9d83ba78cab727b85b862052b9d6

Observation 9a272e98-06d2-4f71-a5e5-868553167145 · outbound

This paper cites A machine learning approach to identify toxic language in the online space.

Involvement drives complexity of language in online debates A machine learning approach to identify toxic language in the online space

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:01.079739Z

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=2026-08-06T22:15:55.809750Z digest=sha256:9710ffb1e44e3e5869018395d8448de9ea4a7058eaab72beea2929cd991239ec

Observation 20177a5e-0dce-42b0-a2f8-a8d547a57bf4 · outbound

This paper cites UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection.

Involvement drives complexity of language in online debates UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:15:57.574206Z

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=2026-08-06T22:15:55.868616Z digest=sha256:d12f43ca8bb53e842fa36c0ebcb9ed75ab3a6ab20e41a2c9f35f73ec734a4a2a

Observation 1ecae261-c9ef-4c42-9cb3-a1c3614b7961 · outbound

This paper cites TimeLMs: Diachronic language models from Twitter.

Involvement drives complexity of language in online debates TimeLMs: Diachronic language models from Twitter

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:00.958443Z

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=2026-08-06T22:15:55.928250Z digest=sha256:0dd4c3acec34240e45d2b937ee3b2e69c8f8bcc89a8e803e7d6b86ffc638722f

Observation 4b5479f8-24c7-4e3f-ad12-c8e1b24e0303 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Involvement drives complexity of language in online debates BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:55.967007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:55.967007Z digest=sha256:5cfed07104624d36e7719d13f4e3aa17ae69c478c7360c9798cc0fdb17d67607

Observation be3cf4aa-948d-4a3d-9bfc-3b71b50f92ea · outbound

This paper cites Density-based clustering validation.

Involvement drives complexity of language in online debates Density-based clustering validation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:00.711930Z

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=2026-08-06T22:15:56.004133Z digest=sha256:27796db2990e648a0c1900069eb328a20d75eaabb3d1b80c71bd6f60d378516e

Observation d290a086-6fc1-4368-a900-2ddae99f3e93 · outbound

This paper cites Indicators of text complexity.

Involvement drives complexity of language in online debates Indicators of text complexity

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:00.501154Z

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=2026-08-06T22:15:56.040554Z digest=sha256:d0f1111805e52838988ff7f6dac165d2aef270adf23d301ea208d5c65b775609

Observation 28270f23-6a99-4ef0-bb83-1a5f6bf86e36 · outbound

This paper cites The psycho-biology of language: An introduction to dynamic philology.

Involvement drives complexity of language in online debates The psycho-biology of language: An introduction to dynamic philology

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:16:00.260342Z

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=2026-08-06T22:15:56.080202Z digest=sha256:d111f6782498e920b1531e188dc4448a9e9b8ae64977ecbd1836178cca379b89

Observation 3dd3af5f-c535-4d0e-842e-0427f93c5266 · outbound

This paper cites Computational constancy measures of texts—yule’s k and rényi’s entropy.

Involvement drives complexity of language in online debates Computational constancy measures of texts—yule’s k and rényi’s entropy

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:59.989074Z

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=2026-08-06T22:15:56.128055Z digest=sha256:d9213c46e8c1c6c4c4c4e9613a0121fd16d61b44ea6c517b33805dca24e54193

Observation 1c466aa3-324d-4e3a-ac19-3d8621307900 · outbound

This paper cites On measures of entropy and information.

Involvement drives complexity of language in online debates On measures of entropy and information

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:59.829156Z

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=2026-08-06T22:15:56.162397Z digest=sha256:0ff47ac1de319f7cbc3e41e04a912735f06c48e3002e45edd222f3d6676d8e5a

Observation 1007877f-f17b-4416-9ef9-1c5eb171a3cc · outbound

This paper cites Vocabulaire et stylistique, volume 8.

Involvement drives complexity of language in online debates Vocabulaire et stylistique, volume 8

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:59.613358Z

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=2026-08-06T22:15:56.216669Z digest=sha256:47b600567621a676db6f681e03eb270e4da5f72941ac61accb6f4280605ab0c4

Observation dd2a460e-5037-4df2-a0d2-a447db2c91be · outbound

This paper cites How variable may a constant be? measures of lexical richness in perspective.

Involvement drives complexity of language in online debates How variable may a constant be? measures of lexical richness in perspective

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:59.397971Z

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=2026-08-06T22:15:56.298000Z digest=sha256:35e5c6524e9512db96504fa067cf4d697b5a03fa645df0ea11f8ab7f693a6936

Observation 18e561ef-c791-4d7c-a276-05d3abec6fe5 · outbound

This paper cites The statistical study of literary vocabulary.

Involvement drives complexity of language in online debates The statistical study of literary vocabulary

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:59.244349Z

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=2026-08-06T22:15:56.390181Z digest=sha256:e4fad8a7f05af83a6763243268c34267b941511e274bcf24e2e0a5e159c67f1c

Observation 4aa97fa4-fbe0-41b3-a404-66fb829f7c85 · outbound

This paper cites Highly engaging events reveal semantic and temporal compression in online community discourse.

Involvement drives complexity of language in online debates Highly engaging events reveal semantic and temporal compression in online community discourse

Reference 67

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:15:57.348339Z

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=2026-08-06T22:15:56.487481Z digest=sha256:2f6ca4e8d69247e0d90bd2cdb07f9d1be33a31cbc3ae1d94795a92721dca847b

Observation c79041fc-3077-4199-9968-e6f8d5833681 · outbound

This paper cites Trade liberalization and revealed comparative advantage.

Involvement drives complexity of language in online debates Trade liberalization and revealed comparative advantage

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:59.055211Z

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=2026-08-06T22:15:56.550479Z digest=sha256:df070cc0bb2bc706d8a529c83f7af1486e2749fce9a38938c2b37de3c34d7ff0

Observation 93287ef3-5be8-41c0-bee9-91301c479303 · outbound

This paper cites Inferring monopartite projections of bipartite networks: an entropy-based approach.

Involvement drives complexity of language in online debates Inferring monopartite projections of bipartite networks: an entropy-based approach

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:58.874932Z

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=2026-08-06T22:15:56.633088Z digest=sha256:ecba447bb1205bb6e7fb4163ce35ecce53ab3f06734a9b6adb2f35314a6fd363

Observation 2ceed552-1061-4a53-89df-cbe6176fc576 · outbound

This paper cites The statistical physics of real-world networks.

Involvement drives complexity of language in online debates The statistical physics of real-world networks

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:58.783292Z

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=2026-08-06T22:15:56.705987Z digest=sha256:0ba049d56ff95d82adbc1adc36dceee7436a7708556c174f255005f2805e3a4f

Observation 5dc6fd60-59c5-4833-ac73-a1154853faa9 · outbound

This paper cites Controlling the false discovery rate: A practical and powerful approach to multiple testing.

Involvement drives complexity of language in online debates Controlling the false discovery rate: A practical and powerful approach to multiple testing

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:58.681198Z

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=2026-08-06T22:15:56.779516Z digest=sha256:a4df4b48308b68512d7d89b62ac7d72b301fcad05d05715d205a566cd518658b

Observation 08d69a5e-6ca4-4198-8729-d65c16f307ba · outbound

This paper cites Fast and scalable likelihood maximization for exponential random graph models with local constraints.

Involvement drives complexity of language in online debates Fast and scalable likelihood maximization for exponential random graph models with local constraints

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:58.489177Z

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=2026-08-06T22:15:56.883969Z digest=sha256:f1575d343d7a5c69170f39b1b965404f9072aad9e01f27fd103fde07448b515e

Observation 19779d01-f198-462f-9257-f401b7da0473 · outbound

This paper cites Hagberg, Daniel A.

Involvement drives complexity of language in online debates Hagberg, Daniel A

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:58.358986Z

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=2026-08-06T22:15:56.964498Z digest=sha256:e8dc0154fdff09ae441ae5b90d2aa93051b96d3789834e13a32801504b2b0f16

Observation a6c91c7f-3812-4176-9a0b-51ffe0da52b6 · outbound

This paper cites Gephi: An open source software for exploring and manipulating networks.

Involvement drives complexity of language in online debates Gephi: An open source software for exploring and manipulating networks

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:58.258245Z

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=2026-08-06T22:15:57.015979Z digest=sha256:54c2f3c495998846c65fbf4baa8d5611435021e8d2518bf231372ca887fe3ded

Observation f95c6647-7c87-43ea-a4ec-94d90a0ce8e9 · outbound

This paper cites L” (Left), combining “left.

Involvement drives complexity of language in online debates L” (Left), combining “left

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:58.084457Z

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=2026-08-06T22:15:57.128483Z digest=sha256:14a42638993adf028f2505d8284e6c7e4f26709545a3dcbf3974c9816e62e859

Observation 4a0086fd-4740-4fa7-b0ac-2c2b9271029e · outbound

This paper cites an unresolved cited work.

Involvement drives complexity of language in online debates Unresolved cited work

Reference 1995

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:58.604032Z

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=2026-08-06T22:15:56.828748Z digest=sha256:498cd28343f83a4f085232cec1c575bdc8bbcb47bd33b31bcb10858ddc5e57cd

Pith citing papers

No inbound Pith citation observations are available.