A conceptual framework for ideology beyond the left and right

• URL: http://arxiv.org/abs/2603.18945v1
• Date: Thu, 19 Mar 2026 14:20:38 GMT
• Title: A conceptual framework for ideology beyond the left and right
• Abstract summary: We introduce a framework that understands ideology as an attributed, multi-level socio-cognitive concept network.<n>We demonstrate how this framework can clarifies overlaps between existing NLP tasks and also how it reveals new research directions.
• Score: 2.8292841621378844
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: NLP+CSS work has operationalized ideology almost exclusively on a left/right partisan axis. This approach obscures the fact that people hold interpretations of many different complex and more specific ideologies on issues like race, climate, and gender. We introduce a framework that understands ideology as an attributed, multi-level socio-cognitive concept network, and explains how ideology manifests in discourse in relation to other relevant social processes like framing. We demonstrate how this framework can clarifies overlaps between existing NLP tasks (e.g. stance detection and natural language inference) and also how it reveals new research directions. Our work provides a unique and important bridge between computational methods and ideology theory, enabling richer analysis of social discourse in a way that benefits both fields.

Related papers

• Working towards a dialectical understanding of the political ideology within technological projects [0.0]
  I develop a dialectical framework for understanding the political ideology of technological projects.<n>I draw on critical and emancipatory social science discussions, highlighting how both a project's values and constraints are necessary for understanding its ideology.
  arXiv  Detail & Related papers  (2026-03-23T18:08:14Z)
• The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 Treatments [0.0]
  This paper studies the impact of retrieved ideological texts on the outputs of large language models (LLMs)<n>Our corpus is based on 1,117 academic articles representing discourses about controversial and endorsed treatments for the disease.
  arXiv  Detail & Related papers  (2026-03-16T05:32:30Z)
• SocialNLI: A Dialogue-Centric Social Inference Dataset [49.60157928163403]
  We introduce SocialNLI -- the first social dialogue inference dataset.<n>SocialNLI consists of a collection of dialogue transcripts hand-picked to center complex social nuances.<n>We evaluate reasoning models theory-of-mind ability through multi-step counterfactual reasoning.
  arXiv  Detail & Related papers  (2025-10-06T23:42:01Z)
• Talking Point based Ideological Discourse Analysis in News Events [62.18747509565779]
  We propose a framework motivated by the theory of ideological discourse analysis to analyze news articles related to real-world events.<n>Our framework represents the news articles using a relational structure - talking points, which captures the interaction between entities, their roles, and media frames along with a topic of discussion.<n>We evaluate our framework's ability to generate these perspectives through automated tasks - ideology and partisan classification tasks, supplemented by human validation.
  arXiv  Detail & Related papers  (2025-04-10T02:52:34Z)
• On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions [62.06913340614293]
  This paper proposes a categorization of different types of conceptualizations into four levels based on the types of instances being conceptualized.<n>We present the first comprehensive survey of over 150 papers, surveying various definitions, resources, methods, and downstream applications related to conceptualization.
  arXiv  Detail & Related papers  (2024-06-16T10:32:41Z)
• Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection [26.702058189138462]
  Multifaceted ideology detection (MID) aims to detect the ideological leanings of texts towards multiple facets. We develop a novel concept semantics-enhanced framework for the MID task. Our approach achieves state-of-the-art performance in MID, including in the cross-topic scenario.
  arXiv  Detail & Related papers  (2024-05-29T10:37:28Z)
• Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View [60.80731090755224]
  This paper probes the collaboration mechanisms among contemporary NLP systems by practical experiments with theoretical insights. We fabricate four unique societies' comprised of LLM agents, where each agent is characterized by a specific trait' (easy-going or overconfident) and engages in collaboration with a distinct thinking pattern' (debate or reflection) Our results further illustrate that LLM agents manifest human-like social behaviors, such as conformity and consensus reaching, mirroring social psychology theories.
  arXiv  Detail & Related papers  (2023-10-03T15:05:52Z)
• Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness [55.037030060643126]
  Intersectionality is a critical framework that allows us to examine how social inequalities persist. We argue that adopting intersectionality as an analytical framework is pivotal to effectively operationalizing fairness.
  arXiv  Detail & Related papers  (2023-03-16T21:02:09Z)
• PAR: Political Actor Representation Learning with Social Context and Expert Knowledge [45.215862050840116]
  We propose textbfPAR, a textbfPolitical textbfActor textbfRepresentation learning framework. We retrieve and extract factual statements about legislators to leverage social context information. We then construct a heterogeneous information network to incorporate social context and use relational graph neural networks to learn legislator representations.
  arXiv  Detail & Related papers  (2022-10-15T19:28:06Z)
• Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach [19.435030285532854]
  We study the ideology of the policy under discussion teasing apart the nuanced co-existence of stance and ideology. Aligned with the theoretical accounts in political science, we treat ideology as a multi-dimensional construct. We showcase that this framework enables quantitative analysis of polarization, a temporal, multifaceted measure of ideological distance.
  arXiv  Detail & Related papers  (2021-06-28T04:03:04Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.