POLARIS: A Political-Aware Large Multimodal Model for Analyzing Technology Deployment Narratives in Conflict Regions

preprint OA: closed CC-BY-SA-4.0
📄 Open PDF Full text JSON View at publisher
Full text 6,861 characters · extracted from preprint-html · click to expand
POLARIS: A Political-Aware Large Multimodal Model for Analyzing Technology Deployment Narratives in Conflict Regions | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 18 March 2026 V1 Latest version Share on POLARIS: A Political-Aware Large Multimodal Model for Analyzing Technology Deployment Narratives in Conflict Regions Authors : Haoran Ji 0009-0007-2015-4815 [email protected] and Ruoxi Zhong Authors Info & Affiliations https://doi.org/10.22541/au.177385886.69807039/v1 58 views 33 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The pervasive deployment of technology in conflict-affected and politically sensitive regions presents complex narratives, often framed as both "stability maintenance" and instruments of "oppression." Existing large language and multimodal models frequently exhibit a "technological neutrality fallacy," failing to capture deep political intentions, implicit biases, and cross-modal consistency. To address this, we introduce Technology Deployment Framing Analysis (TDFA), a novel task encompassing stance classification, deployment intent recognition, cross-modal consistency analysis, and implicit bias detection. We propose POLARIS, a Political-Aware Large Multimodal Model framework built upon prevailing architectures, underpinned by our core philosophy of Political Context Injection. POLARIS integrates a Contextual Knowledge Adapter for geopolitical knowledge infusion, a Framing-Aware Attention mechanism to highlight politically salient features, and a Bias Calibration Head optimized for task-specific outputs. For evaluation, we construct TechConflict-23K, a substantial multimodal dataset with professionally annotated samples. Our multi-stage training strategy includes instruction tuning, a crucial bias alignment phase to penalize "neutral hallucination," and contrastive alignment for cross-modal consistency. Extensive experiments demonstrate that POLARIS achieves state-of-the-art performance across all TDFA sub-tasks, significantly outperforming strong baselines, including advanced multimodal models. These results validate POLARIS's ability to provide more accurate and objective analytical tools for discerning the complex realities and impacts of technology deployment in sensitive geopolitical contexts. Supplementary Material File (polaris.pdf) Download 1.58 MB Information & Authors Information Version history V1 Version 1 18 March 2026 Copyright This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License Keywords bias detection framing analysis multimodal models political context technology deployment Authors Affiliations Haoran Ji 0009-0007-2015-4815 [email protected] Xihua University View all articles by this author Ruoxi Zhong Xihua University View all articles by this author Metrics & Citations Metrics Article Usage 58 views 33 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Haoran Ji, Ruoxi Zhong. POLARIS: A Political-Aware Large Multimodal Model for Analyzing Technology Deployment Narratives in Conflict Regions. Authorea . 18 March 2026. DOI: https://doi.org/10.22541/au.177385886.69807039/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.177385886.69807039/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fdf7fbcc9368650',t:'MTc3OTE1NTkzMQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-23T02:00:01.238055+00:00
License: CC-BY-SA-4.0