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Paper Citation Record · LEDGER

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

As of 11 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2604.16935.

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

pith.paper-citation-record.v1
2604.16935 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:16:56.008139Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:28:39.999382Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:48:42.493531Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact12
  • verified fuzzy39
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4f88db7-8df7-42cc-af27-cfbfdc514ab1 · outbound

This paper cites Artificial intelligence, democracy and elections.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Artificial intelligence, democracy and elections

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 2026-08-11T06:34:44.6726+00:00.

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Observation 6d68cf2d-d045-41a8-99c8-6bd4ffca1bbb · outbound

This paper cites Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy, white women.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy, white women

Reference 2

Resolution
verified exact
doi, observed 2026-05-10T07:21:54.959259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 33c604a9-1bf1-43d5-93f3-aaf258be1516 · outbound

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

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Leveraging ai for democratic discourse: Chat interventions can improve online political conversations at scale

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c7cbfd05-61ce-4329-b56f-23c05617364e · outbound

This paper cites Testing theories of political persuasion using ai.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Testing theories of political persuasion using ai

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.267974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 51364db8-bdb0-45e7-a36f-8588d41a2d8f · outbound

This paper cites Llm-generated messages can persuade humans on policy issues.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Llm-generated messages can persuade humans on policy issues

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.282635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:933305987b4fb15f6b72bb45f52b27b0c5bdafe33413254a3e1fd76c82ccf7ba

Observation 8e983823-b9fb-4f5e-9657-5b5015016336 · outbound

This paper cites Fitting linear mixed models in r.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Fitting linear mixed models in r

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.275302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:badef055c323ee6ced25a660ce1e59693873a0090a3836f05afe544776083a17

Observation 011a0248-2d91-414f-9405-56ff16ec34c3 · outbound

This paper cites Resistance strategies and attitude certainty in persuasion: bolstering vs.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Resistance strategies and attitude certainty in persuasion: bolstering vs

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:21:54.965981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a383830d-9522-43b1-93e4-e56e105d0442 · outbound

This paper cites Dual-process theory and decision-making in large language models.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Dual-process theory and decision-making in large language models

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:c4b8d3d92aeb3c7cd5ba07d5c2b52dccba83d34ca0f42f6424e547dab17a5b66

Observation 29e0815a-e817-4675-8f6b-35ea959a7ad2 · outbound

This paper cites The comfort of automation: Why cognitive sovereignty matters in ai-driven life sciences.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The comfort of automation: Why cognitive sovereignty matters in ai-driven life sciences

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b962cd25-b03c-4fc5-95aa-e58dc8fd5e14 · outbound

This paper cites The persuasive power of large language models, in: Proceedings of the International AAAI Conference on Web and Social Media, pp.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The persuasive power of large language models, in: Proceedings of the International AAAI Conference on Web and Social Media, pp

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8b84273d-c170-4d76-a785-87039898712a · outbound

This paper cites The need for cognition.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The need for cognition

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bacd05ea-d313-4394-800c-59b8ab66cbeb · outbound

This paper cites Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments

Reference 12

Resolution
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arxiv_id, observed 2026-05-10T09:18:32.641397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b19ed073-d792-491e-b219-d613fc3da6a4 · outbound

This paper cites Talk2AI: A Longitudinal Dataset of Human--AI Persuasive Conversations.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Talk2AI: A Longitudinal Dataset of Human--AI Persuasive Conversations

Reference 13

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation aa3ac66e-9b9d-4e1f-ab27-879d8c749450 · outbound

This paper cites Selective agreement, not sycophancy: investigating opinion dynamics in llm interactions.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Selective agreement, not sycophancy: investigating opinion dynamics in llm interactions

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 01b00797-d7f4-4a0f-9488-c36437811a9e · outbound

This paper cites Heuristic and systematic information processing within and beyond the persuasion context.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Heuristic and systematic information processing within and beyond the persuasion context

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.290860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7f560f81-6d95-4a71-81f2-bbd2b0ec0cd7 · outbound

This paper cites an unresolved cited work.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Unresolved cited work

Reference 16

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ffe378bf-2854-4e84-bcd7-2581d8621fd9 · outbound

This paper cites Technical Report.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Technical Report

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation abdf01ba-0cb9-4b00-b711-c3be1a5d18a9 · outbound

This paper cites The economic potential of generative ai.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The economic potential of generative ai

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c87c05d0-8d67-44e4-a0b6-fd23daa54c5c · outbound

This paper cites Math anxiety and associative knowledge structure are entwined in psy- chology students but not in large language models like gpt-3.5 and gpt-4o.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Math anxiety and associative knowledge structure are entwined in psy- chology students but not in large language models like gpt-3.5 and gpt-4o

Reference 19

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c056e55f-db1a-4766-bce1-580dd9a85748 · outbound

This paper cites Measuring and identifying factors of individuals' trust in Large Language Models.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Measuring and identifying factors of individuals' trust in Large Language Models

Reference 20

Resolution
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arxiv_id, observed 2026-05-10T09:18:32.656954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3f4d54e1-d513-4424-bbb9-278a9b17b0cf · outbound

This paper cites Openness to experience, intel- lect, and cognitive ability.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Openness to experience, intel- lect, and cognitive ability

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1811e99d-a2e0-444d-b3b2-329e4c291393 · outbound

This paper cites The rise of social bots.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The rise of social bots

Reference 22

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raw_fallback, observed 2026-05-21T14:05:13.359466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 898a7cb0-f783-4981-9d80-d780d6a95b3d · outbound

This paper cites Building a stronger casa: Extending the computers are social actors paradigm.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Building a stronger casa: Extending the computers are social actors paradigm

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.346281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4254e095-27e1-4246-913d-60c54c990a8b · outbound

This paper cites The fog of information: The eu ai act and legal strategies against ai-fuelled disinformation.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The fog of information: The eu ai act and legal strategies against ai-fuelled disinformation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.307582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 77eee410-6ce6-4d94-b274-ed0759a5ceda · outbound

This paper cites How persuasive is ai-generated propaganda? PNAS nexus 3, pgae034.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies How persuasive is ai-generated propaganda? PNAS nexus 3, pgae034

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.315830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 59f0a397-674e-45a9-907d-92dd005c94ba · outbound

This paper cites An italian version of the 10-item big five inventory: An application to hedonic and utilitarian shopping values.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies An italian version of the 10-item big five inventory: An application to hedonic and utilitarian shopping values

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.333702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 83929913-0689-41d0-83a7-877a15c53696 · outbound

This paper cites The Levers of Political Persuasion with Conversational AI.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The Levers of Political Persuasion with Conversational AI

Reference 27

Resolution
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arxiv_id, observed 2026-05-10T09:18:32.669643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ec1e389f-2ae6-45ab-a9bc-124019710e98 · outbound

This paper cites Could you be wrong: Metacognitive prompts for improving human decision making help llms identify their own biases.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Could you be wrong: Metacognitive prompts for improving human decision making help llms identify their own biases

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.302980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c9df5771-f22f-4014-8037-db910c3051ff · outbound

This paper cites Is artificial intelligence more persuasive than humans? a meta- analysis.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Is artificial intelligence more persuasive than humans? a meta- analysis

Reference 29

Resolution
verified exact
doi, observed 2026-05-10T07:21:54.969919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 12aad4d5-cb64-42c9-b458-ddad1565d87d · outbound

This paper cites GPT-4o System Card.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies GPT-4o System Card

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-10T09:18:32.660899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7665435b-d99f-4258-b19b-bcec6a758fe2 · outbound

This paper cites Capturing the diversity in lexical diversity.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Capturing the diversity in lexical diversity

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.350449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5b13dc77-ca05-4828-9f7c-a1f5d08eef79 · outbound

This paper cites Logical fallacy detection, in: Findings of the Association for Computa- tional Linguistics: EMNLP 2022, pp.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Logical fallacy detection, in: Findings of the Association for Computa- tional Linguistics: EMNLP 2022, pp

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.352692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:d1ffd26646634c85c24bc6e372846869f43ee55980197532ecb741bb791da40a

Observation 8c4ddd6a-266a-47f3-a926-cc124d3e17f6 · outbound

This paper cites Understanding trust and reliance development in AI advice: Assessing model accuracy, model explanations, and experi- ences from previous interactions.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Understanding trust and reliance development in AI advice: Assessing model accuracy, model explanations, and experi- ences from previous interactions

Reference 33

Resolution
verified exact
doi, observed 2026-05-10T07:21:54.967938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:b228fe1e2c24216feb28bfde3dea8c178e4ef80e5ee43c7902d3dfad911607a5

Observation 3b14edd8-d3dd-4c98-9532-5e7f36d8bc5a · outbound

This paper cites Chatgpt for good? on opportunities and challenges of large language models for education.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Chatgpt for good? on opportunities and challenges of large language models for education

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.348370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:188fe2d0c285ba745d120d8c23cb640c2ec918704145c8ddd2eae2dc84754528

Observation ececcf77-88b9-4589-8667-f8b4b7a70287 · outbound

This paper cites The effects of human-like social cues on social responses towards text-based conversational agents—a meta-analysis.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The effects of human-like social cues on social responses towards text-based conversational agents—a meta-analysis

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.355050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:e4e3c69fd21f3772d9cb8e6df97d5360c59be6fd0b0f424f83f81b794c286ac9

Observation d29fcacd-10cb-4104-9026-94669fca3514 · outbound

This paper cites an unresolved cited work.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Unresolved cited work

Reference 36

Resolution
verified exact
doi, observed 2026-05-10T07:21:54.971973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:a6f09d08af2c5b168cb35f3537f6672d1c850034ed5f51f6e707090191163118

Observation f4caf3a1-8b05-41f4-a244-f9ec134c3bc5 · outbound

This paper cites DeepSeek-V3 Technical Report.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies DeepSeek-V3 Technical Report

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-10T09:18:32.664863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:61b93f8ac7dfc316d4e7e41d4f2bfbf459eaa20c5d012b86e6bdd1948562736a

Observation df54ebc8-c096-47bc-a4ca-e11a2f78d23e · outbound

This paper cites Susceptibility to poor argu- ments: The interplay of cognitive sophistication and attitudes.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Susceptibility to poor argu- ments: The interplay of cognitive sophistication and attitudes

Reference 38

Resolution
verified exact
doi, observed 2026-05-10T07:21:54.963553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:8c85de698d0d185e5c85c331fe58c3dd336252b24403a9b94d29f3c2cd37ed8c

Observation 42251d1f-3abf-4838-b1e6-8e6c43a7dd45 · outbound

This paper cites The potential of generative ai for personalized persuasion at scale.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The potential of generative ai for personalized persuasion at scale

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.336061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:b84092738b02ab0a6fc782ca929ee1487352b1b338254cc1ccf80bb2e3980660

Observation 60bbc478-9904-4a23-84f0-cda0d447daa6 · outbound

This paper cites Credibility and trust of information in online environ- ments: The use of cognitive heuristics.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Credibility and trust of information in online environ- ments: The use of cognitive heuristics

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.331106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:d3aaef052009c39bc5b0b73519316dbebee3c7545b2d185f9022cac652d63213

Observation 6e683812-8440-4d76-8fbe-ebe62ed2fda5 · outbound

This paper cites Misrepresentation or inclusion: promises of generative artificial intelligence in climate change education.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Misrepresentation or inclusion: promises of generative artificial intelligence in climate change education

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.319739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:b51d1db11d70142008634bd7cf3f54d16a901e3fc167796ef47ac7dcf3451254

Observation efcb0f7c-9227-4d6a-afde-67f5d0cce2fa · outbound

This paper cites The elaboration likelihood model of persuasion: Developing health promotions for sustained behavioral change.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The elaboration likelihood model of persuasion: Developing health promotions for sustained behavioral change

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.313865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:de6241bdab5afa6317609ee1357da86e5a6fdbbf90344d7b46cd0f14dd06fcfa

Observation 11fe2095-c1b0-4565-a8d7-5759483bd6fe · outbound

This paper cites Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-14T02:22:28.396574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:f1ac377aae8927accf522fb1e57e59e1c18242c0a038693017a1da659c788705

Observation cca09468-84b3-430a-aa7f-93dfc76cbc5e · outbound

This paper cites Cognitive offloading.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Cognitive offloading

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.324296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:058636c5ac484f8ff6964ed894b7e7e4a9ff4988f44de10b0b90a645c9c236ce

Observation 1be89e7b-c914-4bf8-bd7c-4cbb53425787 · outbound

This paper cites Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-10T09:18:32.674135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:4e5e5fa7d50cee87397fa7799c394d77c0a325e7cbb1382f840ac6d801c80586

Observation af505071-13d6-4600-a4b4-d211aa00120c · outbound

This paper cites Y Social: an LLM-powered Social Media Digital Twin.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Y Social: an LLM-powered Social Media Digital Twin

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:18:32.678657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:6241b7973d552822a5bfe9037dcbf96fa688dda87e53fd413a138cd6afdd17ca

Observation fa6e59ed-ecb4-4878-ac25-f2b063b36998 · outbound

This paper cites On the conversational persuasiveness of gpt-4.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies On the conversational persuasiveness of gpt-4

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.328694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:140d43c415dc0940789113068ce14f4c6e99c759fb9d784d62dec061264eebd8

Observation 99bf4764-3806-4508-85e8-e684b93b66f6 · outbound

This paper cites an unresolved cited work.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-21T14:05:13.344194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:c7639a4e792ec64ab650f57882dcdd61940ad6bce58f9a7eaeb7b7d27dcaa4e9

Observation 3ce8de26-bdd1-4733-ac58-fcc97d9c74ee · outbound

This paper cites Behavior Research Methods 57, 77.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Behavior Research Methods 57, 77

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.298097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:c5646942c84f377537ab1dbda15c0b56e69dc5ef9f169b93dff9417e091f0082

Observation e1113c9c-dded-46f9-96f3-8a4d9236159f · outbound

This paper cites Thinking-fast, slow, and artificial: How ai is reshaping human reasoning and the rise of cognitive surrender.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Thinking-fast, slow, and artificial: How ai is reshaping human reasoning and the rise of cognitive surrender

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.326536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:17d27a42e5f1ced5d0f28d79d53fc28fabb4636a5bc5326bb7cb7bd7e7e4edd0

Observation e1314f4f-6b61-4db2-b70b-b94463ca9a2d · outbound

This paper cites 34% of us adults have used chatgpt, about double the share in.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies 34% of us adults have used chatgpt, about double the share in

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.342264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:7b9acec2162fb82db8ce370a6fd37654e9b24415a45157e12b33b0658e47caf4

Observation 1ec18834-4208-4a76-be5b-681f0bd4c7ff · outbound

This paper cites The persuasive effects of political micro- targeting in the age of generative artificial intelligence.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The persuasive effects of political micro- targeting in the age of generative artificial intelligence

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.309671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:affcd3aa66c03d995a42e157fb221560ac46aae619505d7d4dc94b9dfc55ec8b

Observation fba2676c-f738-46a5-88aa-9dfb45b1d91a · outbound

This paper cites The state of ai.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies The state of ai

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.361687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:6b51614fcc2d3f8f8c9466de973dc4f6576e37d2b215cd475bcc0f693d7c5d29

Observation 540a725f-3df5-4e6d-95f0-d918735e9c95 · outbound

This paper cites Bots increase exposure to negative and inflam- matory content in online social systems.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Bots increase exposure to negative and inflam- matory content in online social systems

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.311797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:7e32fc1f8e3c6070ee1f62038fd4fe8e5a431b83021a76382cb244b1ca6ab792

Observation 4f576107-3b3d-4ace-b360-e6c5ea841fd3 · outbound

This paper cites Feature selection strategies: a comparative analysis of shap-value and importance-based methods.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Feature selection strategies: a comparative analysis of shap-value and importance-based methods

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.338173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:35d0bf7fea017356684e30cc36248f88b5e1f194e388c13f122a2e7649003535

Observation 62ccef72-7a8f-4b21-8f3e-99537b5e0be9 · outbound

This paper cites Assessing AI receptivity through a persuasion knowl- edge lens.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Assessing AI receptivity through a persuasion knowl- edge lens

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:21:54.961758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:f35695d0c86a82e0c21080f3223990cc33788a8366af57ffd5a547addf658709

Observation 541b48af-e713-4d07-8f2a-2a25b1bd2ae0 · outbound

This paper cites Biased ai writing assistants shift users’ attitudes on societal issues.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Biased ai writing assistants shift users’ attitudes on societal issues

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.300614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:f38ed01dfe72a965e5451d55b93c3fd96a800d42384cd166b0b5343d6ade5c67

Observation 874564b8-e7b9-4859-a595-73d57135f39c · outbound

This paper cites Deep mind in social responses to technologies: A new approach to explaining the computers are social actors phenomena.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Deep mind in social responses to technologies: A new approach to explaining the computers are social actors phenomena

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T14:05:13.305496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:26946cc99ef664e517477d36e65c18e260430deebf78488da902dacd07cfdde9

Pith citing papers

Observation 1459a063-c54e-4078-acef-a0675e317c2f · inbound

MyMentorLLM: A psychotherapy GenAI environment with multimodal voice/text patients, trainees and experts for deliberate practice cites this paper.

MyMentorLLM: A psychotherapy GenAI environment with multimodal voice/text patients, trainees and experts for deliberate practice LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T01:55:20.214261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:55:20.214261Z digest=sha256:bd164e2757f006a201350281c8af08d86f469171c6c3f61c86379b287604107a

Observation 57a44690-1b62-4ac6-b5b8-659aca3d7654 · inbound

DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots cites this paper.

DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:48:42.578378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:48:33.990892Z digest=sha256:a2a79c608d0735af1736601bb43f38cd72bac577edc79c2d8f7ad29218b017a5

Observation d5ac2b1e-3725-4979-8c95-318987b7e3d5 · inbound

Natural Language Processing Psychometrics cites this paper.

Natural Language Processing Psychometrics LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T10:28:39.999382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:28:39.999382Z digest=sha256:5efff8d0e9d78e6341691cdd04bc01eca078be2aea4f84b8d093832cac47180c