What is beat expertise? News sorting as a novel method for studying traits of journalists’ proficiency

This exploratory study develops and tests a new approach to the study of expertise in journalism. It introduces a new method, News Sorting, which takes journalists out of their comfort zone by asking them to rank a sample of their recent publications and reflect on their challenges. This novel method is combined with two theoretical frameworks: Journalistic Content Knowledge, designed to study specialized beat journalists, and Naturalistic Decision Making, which examines the performance of experts in natural settings. These are tested on Israeli military journalists that are considered highly knowledgeable. Findings indicate that a minority of journalists develop not only intrinsic, beat-specific traits of expertise, but also extrinsic expertise that characterize experts in other occupations, such as pattern recognition and fine discrimination. The good news is that journalists can develop extrinsic traits. The bad news is that they only develop among a minority of highly experienced journalists, which might be too late in an era of shortening careers. Hence the need for measures to accelerate their expertise.

Authors

Institutions

Publication Details

Journal
Journalism
Published
2025-11-24
DOI
https://doi.org/10.1177/14648849251400821
Primary Topic
Media Studies and Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

What is beat expertise? News sorting as a novel method for studying traits of journalists’ proficiency

Zvi Reich, Hagar Lahav, Liri Blum
Journalism
Media Studies and Communication
article

What is beat expertise? News sorting as a novel method for studying traits of journalists’ proficiency

Zvi Reich, Hagar Lahav, Liri Blum
article en

Abstract

This exploratory study develops and tests a new approach to the study of expertise in journalism. It introduces a new method, News Sorting, which takes journalists out of their comfort zone by asking them to rank a sample of their recent publications and reflect on their challenges. This novel method is combined with two theoretical frameworks: Journalistic Content Knowledge, designed to study specialized beat journalists, and Naturalistic Decision Making, which examines the performance of experts in natural settings. These are tested on Israeli military journalists that are considered highly knowledgeable. Findings indicate that a minority of journalists develop not only intrinsic, beat-specific traits of expertise, but also extrinsic expertise that characterize experts in other occupations, such as pattern recognition and fine discrimination. The good news is that journalists can develop extrinsic traits. The bad news is that they only develop among a minority of highly experienced journalists, which might be too late in an era of shortening careers. Hence the need for measures to accelerate their expertise.

Journalism
Ben-Gurion University of the Negev (IL), Sapir College (IL)
Openalex Percentile: Top 59%
Media Studies and Communication
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.

What is beat expertise? News sorting as a novel method for studying traits of journalists’ proficiency — Zvi Reich, Hagar Lahav, et al. · Journalism (2025) | TGRS Research Map | TGRS