Skip to main navigation Skip to search Skip to main content

Investigation into the Coexistence of AI and Digital Media Workforce

  • Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

Abstract

This study explores the influence of artificial intelligence on digital media by analyzing user-generated content from Reddit, Twitter, and Tumblr. Natural language processing (NLP) and machine learning techniques are applied to classify sentiment and examine its relationship with user engagement and temporal trends. BERTweet, a transformer-based model, is employed for sentiment analysis, while machine learning models are used for further classification. The findings reveal a positive correlation between sentiment intensity and user engagement, while overall sentiment trends remain stable. This study contributes to the understanding of AI-driven discourse in digital media, demonstrating the effectiveness of advanced NLP techniques in social media analysis.

Original languageEnglish
Title of host publication2025 IEEE 23rd International Conference on Industrial Informatics, INDIN 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331511210
DOIs
Publication statusPublished - 2025
Event23rd International Conference on Industrial Informatics, INDIN 2025 - KunMing, China
Duration: 12 Jul 2025 → 15 Jul 2025

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576

Conference

Conference23rd International Conference on Industrial Informatics, INDIN 2025
Country/TerritoryChina
CityKunMing
Period12/07/25 → 15/07/25

Keywords

  • AI
  • BERT
  • classification
  • digital media
  • NLP
  • sentiment analysis
  • user engagement

Cite this