SIGNALAI·Jul 2, 2026, 4:00 AMSignal50Short term

How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages

Source: arXiv cs.CL

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How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages

arXiv:2607.00873v1 Announce Type: new Abstract: Rhetorical strategies and their influence on audiences are often studied through social media posts and comments. However, this focus overlooks the universal audience, which is the majority of readers who remain silent and do not explicitly express how a message affects them. This study investigates how two classical modes of persuasion, ethos and pathos, resonate in the silent audience's interpretations of meaning. Using a dataset of social media sentences paired with human-written interpretations, we label both sources for ethos and pathos and

Why this matters
Why now

This study emerges as AI models become increasingly sophisticated in generating and interpreting human-like communication, making the nuances of persuasion more pertinent to AI development and application.

Why it’s important

Understanding how rhetorical appeals influence 'silent audiences' provides critical insight for designing more effective and ethically aligned AI systems that interact with human users.

What changes

The focus expands from explicit user feedback to the implicit resonance of persuasive techniques, offering a deeper layer of comprehension for AI training and evaluation.

Winners
  • · AI ethicists
  • · Social media platforms
  • · AI researchers
Losers
  • · Platforms without nuanced content analysis
  • · Simple sentiment analysis tools
Second-order effects
Direct

Improved AI models capable of identifying and potentially generating more persuasive content, considering diverse audience interpretations.

Second

Increased scrutiny on the ethical implications of AI-generated persuasive content and its potential manipulation of unspoken audience responses.

Third

Development of regulatory frameworks or AI guardrails specifically addressing and mitigating the impact of AI on unconscious or implicit audience persuasion.

Editorial confidence: 85 / 100 · Structural impact: 20 / 100
Original report

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Read at arXiv cs.CL
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