The “Conditional Unbias” of Data Journalism in China’s News Industry
Bibliographic Data
| ID | 22010905 |
|---|---|
| Authors | Qiong Wang (0000-0003-3376-1925, Wuhan University), Tianru Guan (0000-0003-0796-4737, Wuhan University, corresponding author), Xiaodong Yan (0009-0000-7605-5604, Wuhan University) |
| Year | 2024 |
| Volume | 12 |
| Issue | 8 |
| Pages | 1230-1249 |
| Publication date | 2024-09-13 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Digital Journalism (JOURNAL) |
| Journal identifiers | ISSN: 2167-0811 • E-ISSN: 2167-082X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/21670811.2023.2278045 |
| OpenAlex | W4388730663 |
| Language | EN |
| Citations received | 3 |
| References cited | 40 |
Within a highly restrictive media environment, data journalism provides a “fuzzy region” in which non-official Chinese media organizations can engage in news production through the selection, analysis and visualization of open data and statistics. With the decline of critical investigative journalism in China over the past decade, this emerging journalistic genre has been the subject of great hope in regard to its potential to offer impartial news, function as a watchdog, and facilitate democracy. Through the conceptual lens of structural media bias, this study investigates whether China’s data journalism could support democratic functions and better perform the journalistic value of objectivity. We analyze data journalistic works (N = 531) from four influential media outlets between 2019 and 2021. Our findings demonstrate that data journalism has brought a form of “conditional unbias” to China’s news industry, easing entry for non-official media actors, diversifying news topics, broadening and normalizing news sources, and bypassing the “loyal facilitator” role. On the other hand, Chinese data journalists’ avoidance of political issues, lack of critical stance and detachment from the watchdog function of journalism illustrate that China’s censored and tendentious media tradition has maintained a durable influence on today’s “let data speak” epoch
Advertising · Business · China · Journalism · Media studies · Political science · Public relations · Sociology · China's Socioeconomic Reforms and Governance · Law · Media Influence and Politics · Media Studies and Communication
Practically Engaged
Transparency, Interactivity, Diversity, and Information Provenance in Everyday Data Journalism
Media Bias in China
The Oxford Handbook of Political Communication
Exploring Data Visualisations
Advancing a Radical Audience Turn in Journalism. Fundamental Dilemmas for Journalism Studies
Data journalism in the UK
Media Bias and Reputation
Journalistic Roles and the Struggle Over Institutional Identity
Professional Roles in News Content
Clarifying Journalism’s Quantitative Turn
Structural Bias in Cross-National Perspective
Challenges Facing Development of Data Journalism in Non-Western Societies
Waiting for Data Journalism
Differences within the mainland Chinese press
Data Journalism beyond Majority World Countries
From Open Journalism to Closed Data
Data Journalism, Impartiality And Statistical Claims
Small Departures, Big Continuities
Chinese Newspapers and Investigative Reporting in the New Media Age
Transformation or Continuation? Comparing Journalism in Digital and Legacy Media in China
Data-driven journalism and the public good
Professional Ideals of Data Journalists Around the Globe
The Development of Data Journalism in China
Generational Change in Chinese Journalism
Letting the Data Speak
Data-driven reporting
Digital watchdogs? Data reporting and the news media’s traditional ‘fourth estate’ function
The datafication of data journalism scholarship
Data journalism’s actors, practices and skills
Journalistic performance in Latin America
Toward a humanistic turn for a more ethical journalism
Media Bias by the Numbers
Critical Questions for Big Data
Evolving data teams
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |