Understanding Journalists' Workflows in News Curation

Title of the Paper

Understanding Journalists' Workflow in News Curation

Bibliographic Information

• Subject Areas: Human-Computer Interaction (HCI), News Curation, Algorithmic Journalism
• Keywords: News Curation, Journalistic Workflow, Human and Algorithmic Journalism, Digital News, News Recommendation, Human-AI Collaboration, News Values, Media Science, News Personalization, Social Media

Research Background and Questions

• Research Questions:

  • With the internet becoming the primary channel for news consumption, formats like email newsletters are rapidly growing. Journalist-driven news curation is becoming increasingly important, yet the differences in practice and effectiveness between human and algorithmic curation remain underexplored.
  • Algorithmic news aggregation suffers from various biases, such as popularity bias and lack of diversity.
  • Current research on news curation focuses more on algorithms, with limited understanding of individual journalists' curation processes.

• Significance and Motivation:

  • In a field dominated by algorithmic news curation, understanding the unique role of human journalists and their interaction with readers is of great importance.
  • News curation not only involves selecting and presenting news but also impacts the diversity of information readers receive and the transmission of news values.

Solution

• Methods:

  • Conduct in-depth semi-structured interviews with 10 journalists who regularly curate newsletters to analyze their workflows, including story selection, curation, and understanding of reader interests. This aims to explore the collaborative roles of journalists and algorithms in news curation.
  • Further refine and summarize journalists' behavioral patterns and evaluation criteria during the curation process.

• Innovation and Key Points:

  • Conceptualizing news curation as "Hybrid Curation," which combines the advantages of human subjective judgment and algorithmic tools.
  • Highlighting the professional judgment characteristics in journalists' curation processes, such as their perception of news value, integration of personal experience with reader interests, and preference for information diversity.

• Implementation Steps and Key Techniques:

  • Data Collection: Investigate the tools and data sources participants use for news curation during interviews and analyze how they address potential algorithmic biases.
  • Data Analysis: Apply grounded theory to openly code interview content, generating high-level themes and specific analytical frameworks.
  • Framework Development: Summarize journalists' curation workflows, from navigating the news ecosystem to story selection and internalizing reader interests, forming a systematic working model.

Research Findings

• Specific Findings:

  1. Journalists' curation workflows consist of three main steps: content collection, story selection, and value-added editing.
  2. Major content producers (e.g., The New York Times), social media platforms (e.g., Twitter), and algorithm-based aggregators (e.g., Google News) are primary sources journalists rely on.
  3. Journalists demonstrate rich professional expertise in curation (e.g., deep understanding of trending topics) and enhance the value of curated news by providing story context and reinterpreting events.
  4. Journalists customize newsletters for specific reader groups, considering factors such as coverage, uniqueness, and engagement.

• Comparison with Existing Solutions:

  • Unlike algorithmic curation, journalists incorporate subjective understanding of audience preferences into their curation. Specifically, algorithms often prioritize content based on popularity or recency, while journalists emphasize diversity, completeness, and depth of news.
  • Algorithmic curation often overlooks the diversity of news framing and author perspectives, which journalists can directly address through professional judgment.

• Experiment and Evaluation Results:

  • Journalist-curated news avoids repetitive content dominated by algorithms and focuses more on presenting diverse perspectives to meet readers' individualized information needs.
  • Human curation heavily relies on journalists' professional experience and time allocation, with significant demand for technical support in key workflow stages.

• Limitations and Future Directions:

  • The sample is predominantly English-speaking, lacking insights into news curation differences across other languages and cultural contexts.
  • A comprehensive comparison of algorithmic and journalist curation in terms of reader feedback and preferences is yet to be conducted.
  • The study does not explore the precise application of tools in enhancing manual news curation processes. Future work could investigate the development of news framing recognition algorithms and technical tools to directly improve journalists' efficiency.

Conclusion and Design Implications

• Design technical tools to support news curation, focusing on automatic news framing recognition, novelty computation, and bias detection.
• Enhance the human-computer interaction interface of tools to optimize journalists' multi-source news filtering workflows.
• Encourage the integration of key news values and editorial judgment principles into the design of technical tools, promoting collaborative optimization between algorithms and human curation.