Skip to main content

A Multimodal Analysis of Embedded Climate Change Media on Twitter

Submission Number: 202
Submission ID: 5273
Submission UUID: ad48b448-73bc-460b-b09f-2b2b3a1d2c86
Submission URI: /form/project

Created: Wed, 04/30/2025 - 05:26
Completed: Wed, 04/30/2025 - 05:26
Changed: Wed, 04/30/2025 - 05:27

Remote IP address: 104.28.39.38
Submitted by: Gaurav Khanna
Language: English

Is draft: No
Webform: Project
A Multimodal Analysis of Embedded Climate Change Media on Twitter
CAREERS
{Empty}
ai (271), AI/ML (802)
{Empty}

Project Leader

Suhong Li
{Empty}
{Empty}

Project Personnel

{Empty}
Jacob Dauphinais
{Empty}

Project Information

This project seeks to analyze video and image elements of Twitter/X posts in their association to climate change. The focus is on data pipeline to create textual descriptions using Large Language Models. More specifically the objectives are:

-Develop a methodology for video and image processing using open-source LLMs
-Test multiple open-source LLMs for effectiveness in analyzing visual media
-Perform and use sentiment and topic analysis on extracted visual content
-View potential differences/similarities between text-focused and visual media focused climate change posts

Project Information Subsection

{Empty}
{Empty}
{Empty}
{Empty}
Some hands-on experience
{Empty}
Bryant University
{Empty}
CR-University of Rhode Island
{Empty}
No
Already behind3Start date is flexible
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}

Final Report

{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}