PhilArchive
open access
I Will Be Your Friend: Re-interpretating Hannah Arendt’s Concepts of Political Sentiment and Friendship
This paper investigates Arendt’s concept of political sentiment. One key aim of this paper is to analyse her notions of passion, emotion and sentiment, as well as the relationships between them. I argue that political emotion and sentiment stem from our passion for forming relationships with others, which is facilitated by people coming up with various modes of interaction to sustain these relation- ships. Another aim of this paper is to interpret Arendt’s concept of friendship. I contend that friendship, in her view, refers not just to a duty to one’s friend and the world in-between them (the duty of “forget-me-not”) but also a universal benevolence toward whomever one happens to encounter—to one’s willingness to reach out their hand and say “I will be your friend”.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Freedom and Resentment#105882
- Judith Shklar, Friedrich Hayek, and the Liberalisms of Fear#165368
- Das Paradox der Toleranz#738436
- Political Emotions: Why Love Matters for Justice (by Martha Nussbaum)#711525
- Of Hatred and Solitude in the Works of Mary Shelley and E. M. Cioran#112656
Record · ID 204403
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive