Abstract
Users in the data age have access to more data than ever before, but little is known how they interact with it. Using transparency and multimedia, data journalism (DJ) lets users explore and interpret data on their own. This study examines how DJ affects online comments as a case study of user interactions with data. The corpus comprises 6,400 stories and their comment sections from the DJ and other sections of the New York Times, from 2014-2022. Results indicate that DJ is positively associated with higher level of interactivity between the users. This relationship is mediated by statistical information, information sources, and static visualizations. However, there is a low level of interactivity with the content; consequently, only part of the users use it. The results demonstrate how data accessibility through DJ engages the users in conversation. According to deliberation theory, this creates a conducive environment for democratic processes.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025 |
| Editors | Tung X. Bui |
| Publisher | IEEE Computer Society |
| Pages | 2386-2395 |
| Number of pages | 10 |
| ISBN (Electronic) | 9780998133188 |
| State | Published - 2025 |
| Event | 58th Hawaii International Conference on System Sciences, HICSS 2025 - Honolulu, United States Duration: 7 Jan 2025 → 10 Jan 2025 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| ISSN (Print) | 1530-1605 |
Conference
| Conference | 58th Hawaii International Conference on System Sciences, HICSS 2025 |
|---|---|
| Country/Territory | United States |
| City | Honolulu |
| Period | 7/01/25 → 10/01/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE Computer Society. All rights reserved.
Keywords
- Data journalism (DJ)
- data visualization
- New York Times (NYT)
- news factors
- user comments
ASJC Scopus subject areas
- General Engineering