Exploring cutting-edge data visualization: Unveiling opportunities and overcoming challenges in thai journalism amid AI disruption

This study explores the opportunities and challenges of adopting data visualization in Thai journalism, with a particular focus on how artificial intelligence (AI) can enhance these processes. While data visualization has been widely adopted in other regions, such as Europe, it remains underutilized in Thailand. Through in-depth interviews with Thai journalism professionals and data visualization implementers, the research investigates the current state of data visualization, barriers to its implementation, and the potential of AI to overcome these obstacles. Using ATLAS.ti® for qualitative analysis, the interview transcripts were coded and analyzed based on the Balanced Scorecard (BSC) framework, examining factors such as financial, customer, internal processes, and skill-related issues that impact data visualization adoption. The findings offer insights into how AI technologies, such as Generative AI, Data Processing, and Natural Language Processing, could help streamline workflows and enhance storytelling, data management, and visualization design. These results are expected to provide actionable strategies for media organizations to adopt more advanced data visualization techniques, ultimately improving news dissemination and public understanding in Thailand.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring cutting-edge data visualization: Unveiling opportunities and overcoming challenges in thai journalism amid AI disruption

Journal of the Association for Information Systems
Magnetic confinement fusion research
article

Exploring cutting-edge data visualization: Unveiling opportunities and overcoming challenges in thai journalism amid AI disruption

article en

Abstract

This study explores the opportunities and challenges of adopting data visualization in Thai journalism, with a particular focus on how artificial intelligence (AI) can enhance these processes. While data visualization has been widely adopted in other regions, such as Europe, it remains underutilized in Thailand. Through in-depth interviews with Thai journalism professionals and data visualization implementers, the research investigates the current state of data visualization, barriers to its implementation, and the potential of AI to overcome these obstacles. Using ATLAS.ti® for qualitative analysis, the interview transcripts were coded and analyzed based on the Balanced Scorecard (BSC) framework, examining factors such as financial, customer, internal processes, and skill-related issues that impact data visualization adoption. The findings offer insights into how AI technologies, such as Generative AI, Data Processing, and Natural Language Processing, could help streamline workflows and enhance storytelling, data management, and visualization design. These results are expected to provide actionable strategies for media organizations to adopt more advanced data visualization techniques, ultimately improving news dissemination and public understanding in Thailand.

Journal of the Association for Information Systems
Quality Education
Openalex Percentile: Top 75%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.