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Paper Citation Record · LEDGER

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations

As of 19 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2506.12077.

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

pith.paper-citation-record.v1
2506.12077 v1

Coverage vector

measured 67 of 67 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:09.160057Z

measured 67 of 67 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

67 of 67 outbound references displayed

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External citation measurements

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Outbound references

Observation 2807d21b-7386-48b6-890f-b30892c572ef · outbound

This paper cites Climate Change and Society,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Climate Change and Society,

Reference 1

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Observation aab30820-9e83-4c71-a456-d45072177b86 · outbound

This paper cites The Framing of Climate Change in Canadian, American, and International Newspapers: A Media Propaganda Model Analysis1,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The Framing of Climate Change in Canadian, American, and International Newspapers: A Media Propaganda Model Analysis1,

Reference 2

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Observation 1d2e219a-a03e-4412-bcf2-27d23e62f6ec · outbound

This paper cites Linking Adaptation and Mitigation in Climate Change Policy,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Linking Adaptation and Mitigation in Climate Change Policy,

Reference 3

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Observation 7db43967-af81-4d2f-b88a-c11a88d0d981 · outbound

This paper cites Climate change 2021: the physical science basis,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Climate change 2021: the physical science basis,

Reference 4

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Observation 4384ee3d-747b-4df0-bea5-47dfab09a505 · outbound

This paper cites Climate change research and action must look beyond 2100,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Climate change research and action must look beyond 2100,

Reference 5

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Observation 19eaf16c-5fd9-4e34-8071-37b9fdea8393 · outbound

This paper cites Washington, Climate change denial: Heads in the sand.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Washington, Climate change denial: Heads in the sand

Reference 6

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Observation ad481bd4-2870-4cc1-a2f7-f39da9d7902f · outbound

This paper cites Understanding and countering the motivated roots of climate change denial,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Understanding and countering the motivated roots of climate change denial,

Reference 7

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Observation f8cfcc5f-8d44-47b4-ad1f-a1611c309f29 · outbound

This paper cites The social media life of climate change: Platforms, publics, and future imaginaries,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The social media life of climate change: Platforms, publics, and future imaginaries,

Reference 8

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This paper cites This is too much! social media integration and adults’ psychological distress: the mediating role of cyber and place-based information overload,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations This is too much! social media integration and adults’ psychological distress: the mediating role of cyber and place-based information overload,

Reference 9

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This paper cites Towards understanding cyberbullying behavior in a semi-anonymous social network,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Towards understanding cyberbullying behavior in a semi-anonymous social network,

Reference 10

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Observation b7f5da1a-6765-4ee0-b57e-950ca756510c · outbound

This paper cites The echo chamber effect on social media,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The echo chamber effect on social media,

Reference 11

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Observation 2f7ce1c0-641e-409c-a1ea-81ca90d77d55 · outbound

This paper cites Misinformation, disinformation, and online propaganda,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Misinformation, disinformation, and online propaganda,

Reference 12

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Observation 89304b7d-dbdb-4e1f-aede-c507b384f63e · outbound

This paper cites Correcting misinformation about climate change: The impact of partisanship in an experimental setting,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Correcting misinformation about climate change: The impact of partisanship in an experimental setting,

Reference 13

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Observation 20bb345b-e077-4579-ac9a-a4a9b81b3c10 · outbound

This paper cites Large language models (llms): survey, technical frameworks, and future challenges,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Large language models (llms): survey, technical frameworks, and future challenges,

Reference 14

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Observation 73c86faa-8b3b-4eb8-8330-3a8aa522f262 · outbound

This paper cites Foundation and large language models: fundamentals, challenges, op- portunities, and social impacts,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Foundation and large language models: fundamentals, challenges, op- portunities, and social impacts,

Reference 15

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Observation 881f909b-b67a-4e49-badf-fa8df8f0184e · outbound

This paper cites Recurrent neural networks for language understanding.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Recurrent neural networks for language understanding

Reference 16

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This paper cites When large language models meet personal- ization: Perspectives of challenges and opportunities,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations When large language models meet personal- ization: Perspectives of challenges and opportunities,

Reference 17

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This paper cites Moderating large scale online deliberative processes with large language models (llms): Enhancing collective decision-making.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Moderating large scale online deliberative processes with large language models (llms): Enhancing collective decision-making

Reference 18

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Observation 194fdbc9-3451-46d5-9254-66f05dc30608 · outbound

This paper cites What Is Climate Change?.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations What Is Climate Change?

Reference 19

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This paper cites From tweets to insights: A social media analysis of the emotion discourse of sustainable energy in the united states,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations From tweets to insights: A social media analysis of the emotion discourse of sustainable energy in the united states,

Reference 20

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Observation bdba4bf8-7ec2-4c18-ac80-320aa609e609 · outbound

This paper cites Exploring public opinions on climate change policy in.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Exploring public opinions on climate change policy in

Reference 21

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Observation 66ec3a83-df51-4900-9de3-46d1635808dd · outbound

This paper cites Climate change in the american mind: April 2019,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Climate change in the american mind: April 2019,

Reference 22

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This paper cites Climate change denial and ideology in swedish online media: measuring ideology change using a computational approach,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Climate change denial and ideology in swedish online media: measuring ideology change using a computational approach,

Reference 23

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Observation 26e49e33-26a0-41ae-babc-a2164f0591b6 · outbound

This paper cites Is conservative opposition to climate change threat-based? articulating an integrated threat model of climate change attitudes,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Is conservative opposition to climate change threat-based? articulating an integrated threat model of climate change attitudes,

Reference 24

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This paper cites Social network platforms and climate change in China: Evidence from TikTok,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Social network platforms and climate change in China: Evidence from TikTok,

Reference 25

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This paper cites The superstar social media influencer: Exploiting linguistic style and emotional contagion over content?.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The superstar social media influencer: Exploiting linguistic style and emotional contagion over content?

Reference 26

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This paper cites A tale of two social influencers: A new method for the evaluation of social marketing,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations A tale of two social influencers: A new method for the evaluation of social marketing,

Reference 27

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This paper cites From ignorance to distrust: The public “discovery.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations From ignorance to distrust: The public “discovery

Reference 28

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This paper cites 13. Corpus-Assisted Analysis of Internet-Based Discourses: From Patterns to Rhetoric,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations 13. Corpus-Assisted Analysis of Internet-Based Discourses: From Patterns to Rhetoric,

Reference 29

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This paper cites The potential of microblogs for the study of public perceptions of climate change,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The potential of microblogs for the study of public perceptions of climate change,

Reference 30

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Observation 3d66a206-bcac-49e8-84f5-770bec9c8b4a · outbound

This paper cites Polarized frames on “climate change.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Polarized frames on “climate change

Reference 31

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Observation 2cb57065-6fef-40a3-b8c7-3cd3f2a77085 · outbound

This paper cites Network analysis reveals open forums and echo chambers in social media discussions of climate change,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Network analysis reveals open forums and echo chambers in social media discussions of climate change,

Reference 32

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2565b2f8-a151-4c0c-bd8d-4b8a753b5d02 · outbound

This paper cites Bursting filter bubbles in a digital age: Opening minds and reducing opinion polarization through digital platforms,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Bursting filter bubbles in a digital age: Opening minds and reducing opinion polarization through digital platforms,

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b437b775-e49b-409e-9c55-73c33eb58253 · outbound

This paper cites Challenging google search fil- ter bubbles in social and political information: Disconforming evidence from a digital methods case study,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Challenging google search fil- ter bubbles in social and political information: Disconforming evidence from a digital methods case study,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.627863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e897a505-51cc-44a2-b5aa-5edd57f3942e · outbound

This paper cites Breaking the filter bubble: democracy and design,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Breaking the filter bubble: democracy and design,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.617691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.078022Z digest=sha256:0b73284b0d6b9f275d38c276145f928642d3c45a6e68f52c21514918391fdbfe

Observation a2f16a13-1117-4079-8565-99dffa7bf606 · outbound

This paper cites The virtual stages of hate: Using goffman’s work to conceptualise the motivations for online hate,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The virtual stages of hate: Using goffman’s work to conceptualise the motivations for online hate,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.610589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.080234Z digest=sha256:25a4bb2d57e371b38a16f3acc7f2741b272060a07284287a2678932468a1913e

Observation 6e882bbe-d8f9-472c-9307-64cb4b387300 · outbound

This paper cites A conflict within a conflict: Intragroup ideological polarization and intergroup intractable conflict,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations A conflict within a conflict: Intragroup ideological polarization and intergroup intractable conflict,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.601784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.082520Z digest=sha256:14f320284b9d72f2e518a678234ef9ebb33136e32bdb15f6b59738c3b3dc131d

Observation 7a54adcd-fbc5-4f51-9eea-77321045115c · outbound

This paper cites The origins and consequences of affective polarization in the united states,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The origins and consequences of affective polarization in the united states,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.594851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.084921Z digest=sha256:89950a02a868d740c77ea48101e90bcf8c7dadfdfa65a39e81c5d20969eb0950

Observation ccf3f084-5a8e-45b5-84a4-0c371bc2a71a · outbound

This paper cites Affective polarization and dynamics of information spread in online networks,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Affective polarization and dynamics of information spread in online networks,

Reference 39

Resolution
verified exact
doi, observed 2026-08-07T05:57:09.197752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.087347Z digest=sha256:eb53f9cd4fc0c5f6aa93f223fdaa9496229b3d9b9521b2d9ff6ff4da6e770036

Observation 1ab13a30-4e92-47a7-813f-c0be575c85aa · outbound

This paper cites Troll and divide: the language of online polarization,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Troll and divide: the language of online polarization,

Reference 40

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:57:09.586997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.089771Z digest=sha256:05c1180c02a81c1dce5f986a56c3586b738aad71f4c37cf2e62f66c8070655c0

Observation 90ec08ea-c1b0-498c-abaa-8f4681bfd9ab · outbound

This paper cites Cross-partisan conversation reduced affective polarization for republicans and democrats even after the contentious 2020 election,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Cross-partisan conversation reduced affective polarization for republicans and democrats even after the contentious 2020 election,

Reference 41

Resolution
verified exact
doi, observed 2026-08-07T05:57:09.188632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.092098Z digest=sha256:30fa1b757821f3937538feb50642fa5c0ae39ff788b32eebcc63af9cac541aa6

Observation ed5b89f2-ae8f-4830-a699-cf7847e73f97 · outbound

This paper cites The parties in our heads: Misperceptions about party composition and their consequences,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The parties in our heads: Misperceptions about party composition and their consequences,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.578353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.094428Z digest=sha256:0b80eb2a477137b31a1c10b7d60944fb6f0b94fdfb2e4c0cd49cb18f91a1d1d3

Observation 3feccc24-29ef-4d0a-b11e-efbaf1a678d0 · outbound

This paper cites (mis) perceptions of partisan polarization in the american public,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations (mis) perceptions of partisan polarization in the american public,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.570938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.096769Z digest=sha256:9b96615dc7dfb97f24663f4bdfd133e11cca90c54b4e199a4be094c13d7531d6

Observation fc761a4b-4308-4546-a3ea-c2b38237deb3 · outbound

This paper cites an unresolved cited work.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:57:09.560971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.098969Z digest=sha256:6a88ebdcddabb7ca9be6c54b1a5e56b2378d5e7eee77811b73f8138cb028afcd

Observation 00c0cf81-b84e-4579-8ff2-a38f4048eb17 · outbound

This paper cites Cross-cutting social networks: Testing democratic theory in practice,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Cross-cutting social networks: Testing democratic theory in practice,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.553212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.101986Z digest=sha256:1867fdee6723ec433298dff0a1c8d601198cfe4fe61e23de618b06da38db3327

Observation 0a0302a1-bbde-419d-8f04-1f0ebaf8081c · outbound

This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.543928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.104342Z digest=sha256:962be16be8f1e76e02430165b5908a3cd17e026532f5235e7ac7afb94f9eb618

Observation 0d0284f5-4dbb-4d3a-bfd8-4105f5bba084 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Harnessing the power of llms in practice: A survey on chatgpt and beyond,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:09.106572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:09.106572Z digest=sha256:085c276e39f2d947a0ba43b23c2d35d55e968c7d1cd5a4fbd7ce30c25884592f

Observation 7f6abd02-d290-4f26-be88-c0bf11bcb171 · outbound

This paper cites Leveraging ai for democratic discourse: Chat interventions can improve online political conversations at scale,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Leveraging ai for democratic discourse: Chat interventions can improve online political conversations at scale,

Reference 48

Resolution
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no resolver link, observed 2026-08-07T05:57:09.109189Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:57:09.109189Z digest=sha256:0a86b71e75408d7b2c513d76a21f03dec24fc50e0ecf96b564b2fc74c84155b7

Observation 14934463-92cb-4a60-ae93-70b374f8a0c9 · outbound

This paper cites Improving factuality and reasoning in language models through multiagent debate,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Improving factuality and reasoning in language models through multiagent debate,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.531498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d97cc920-327d-44b0-b994-1445901bfda2 · outbound

This paper cites Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Reference 50

Resolution
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no resolver link, observed 2026-08-07T05:57:09.117773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:09.117773Z digest=sha256:ba8d7466d5dad7091bfbb5b74e2597529d290828aa032ff9dc82b30146b542ac

Observation 5f39ad14-3172-44e2-9c08-c48611365ebf · outbound

This paper cites War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 51

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no resolver link, observed 2026-08-07T05:57:09.121187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:09.121187Z digest=sha256:092d2f11a3aae2bc1a1aa18217eb8cdb2399e1536876e1fa20162aa9c5ff14fb

Observation ca5e091a-894a-4eac-aed3-ac5bd74b85b2 · outbound

This paper cites BASES: Large-scale Web Search User Simulation with Large Language Model based Agents.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations BASES: Large-scale Web Search User Simulation with Large Language Model based Agents

Reference 52

Resolution
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no resolver link, observed 2026-08-07T05:57:09.123810Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:57:09.123810Z digest=sha256:1835477fcead5c0dc0b2efb8a93b66720b960dca2ebccc66b802e3c45bebed35

Observation 109f3f41-96a0-49a8-a424-0ba999b6b614 · outbound

This paper cites Large language models (llm) in compu- tational social science: prospects, current state, and challenges,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Large language models (llm) in compu- tational social science: prospects, current state, and challenges,

Reference 53

Resolution
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raw_fallback, observed 2026-08-07T05:57:09.520669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.126591Z digest=sha256:34e78b061684c04c51d8fdfddbda80f39438686baf53dd6e45bd49718acb0147

Observation 625e63d6-27bf-4520-a658-16ff417e8ea3 · outbound

This paper cites Demystifying the working, types, benefits and limitations of chatbots,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Demystifying the working, types, benefits and limitations of chatbots,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.512377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.128996Z digest=sha256:0873a6e05b8765dffd53adc1edc558872dd27bafde7ab00d51b9de8fc2e03cc8

Observation 518ffc9b-4b35-4e3e-a848-18e7f81890a0 · outbound

This paper cites Applications of ai chatbots based on gen- erative ai, large language models and large multimodal models,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Applications of ai chatbots based on gen- erative ai, large language models and large multimodal models,

Reference 55

Resolution
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raw_fallback, observed 2026-08-07T05:57:09.503231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 509d02b2-ad37-4fa2-8664-be043bf20b4d · outbound

This paper cites ConflictLens: LLM-Based Conflict Resolution Training in Romantic Relationship.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations ConflictLens: LLM-Based Conflict Resolution Training in Romantic Relationship

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:57:09.423062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 82133cfe-4010-4a32-8c37-fdde60047464 · outbound

This paper cites The Pushshift Reddit Dataset.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The Pushshift Reddit Dataset

Reference 57

Resolution
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no resolver link, observed 2026-08-07T05:57:09.136427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:09.136427Z digest=sha256:0f1160f252da1c834ae38c2a11327a9690427bff04fa44995d0b63927134d0ff

Observation 8e128127-8902-4b77-bb96-9d8098c66396 · outbound

This paper cites Analyzing climate change discussions on reddit,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Analyzing climate change discussions on reddit,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.494990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.139350Z digest=sha256:6e2177251cafe3af5cdfa8ff7d16687710e80b6aa968b49dd63bbed8b00907a1

Observation 4f746067-6545-4469-922a-12d9055cc8ec · outbound

This paper cites Discussion of climate change on reddit: Polarized discourse or deliberative debate?.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Discussion of climate change on reddit: Polarized discourse or deliberative debate?

Reference 59

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:57:09.405870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.142503Z digest=sha256:b3aa1711975b387680108375835b2157e0cbc1caf955fe42844f9376e4d630f1

Observation 07ff1784-c06f-4213-bc6b-4e4a2fe8c950 · outbound

This paper cites Cross- platform analysis of public responses to the 2019 ridgecrest earthquake sequence on twitter and reddit,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Cross- platform analysis of public responses to the 2019 ridgecrest earthquake sequence on twitter and reddit,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.486105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.144898Z digest=sha256:8ee8ef7126be9796b86df01d65022204dcf7be9f8476e554b428dbc44759a4c2

Observation bbec4833-2788-41ae-9232-fefd97db6893 · outbound

This paper cites How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

Reference 61

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unresolved
no resolver link, observed 2026-08-07T05:57:09.147089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:09.147089Z digest=sha256:df7490de9a2b51cefeceab1828c4adbff8e598654fbcb4e29f7eb6fea8505a0d

Observation 321c591d-3f3c-414c-815d-36f4bd395832 · outbound

This paper cites Brain function, emotional experience and personality,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Brain function, emotional experience and personality,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.476983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.150092Z digest=sha256:26a73f62b0917288ba061156f925e308460a6a55894cee3c574ad1ae8c52e53b

Observation 192af2f8-dc8d-41e3-b5cf-ec90c3713f0a · outbound

This paper cites Positive emotions, spirituality and the practice of psychiatry,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Positive emotions, spirituality and the practice of psychiatry,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.468958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.152523Z digest=sha256:7759b2c7fc34a15bb30613ab95ca8d04c67ec4bef08a12fd20e72a626c79b43b

Observation 06705c34-847c-41de-85ea-93be04660d9c · outbound

This paper cites The impact of toxic trolling comments on anti-vaccine youtube videos,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations The impact of toxic trolling comments on anti-vaccine youtube videos,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.461620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.154881Z digest=sha256:a0654b15d7358c7ce5ccd1e91c099d1e52c5e6ffd18ddcb976da86069c661a73

Observation d5015ce6-cdb9-4d26-941b-2fe0d59ef8c5 · outbound

This paper cites Effectiveness of gamified co- operation and competition strategies in a blended learning environment for developing efl business writing skills for tvet learners,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Effectiveness of gamified co- operation and competition strategies in a blended learning environment for developing efl business writing skills for tvet learners,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:57:09.453486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:57:09.157132Z digest=sha256:3250a11df3f5a59275fcbaa8d05fa9b54ab3551104c43250602334859dc0f142

Observation ebfa6278-0c38-45b6-a29f-4f19327c8c73 · outbound

This paper cites Engagement with social media and social media advertising: The differentiating role of platform type,.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Engagement with social media and social media advertising: The differentiating role of platform type,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:09.160057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:09.160057Z digest=sha256:ee64509f37f239065bbeddfb099bb9e049a386a1668d525eb1f0940016e81836

Observation 5f34a4a5-2ac0-434c-9326-7ddaa7d01762 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:57:09.113989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:57:09.113989Z digest=sha256:7bf50b6a25ab530ec0b1aacfdd8ba951b6f038f579b6a0f483cef611933b066a

Pith citing papers

No inbound Pith citation observations are available.