Audience engagement in data-driven journalism: Patterns in participatory practices across 34 countries

Author:

Martin Jason A1ORCID,Camaj Lindita2ORCID,Lanosga Gerry3ORCID

Affiliation:

1. DePaul University, Chicago, IL, USA

2. University of Houston, Houston, TX, USA

3. Indiana University Bloomington, Bloomington, IN, USA

Abstract

This study explores what motivates data journalists to engage with audiences and their strategies for incorporating audiences into their work. Building on scholarship on audience engagement and participatory journalism, we investigate how data journalists perceive the role of audience; the stage of the reporting process at which the audience is engaged; and how optimistically or sceptically data journalists view the audience’s capacity to contribute to the data journalism reporting process. Using a news media logics theoretical framework, we find data journalists are primarily motivated by a mixture of professional and audience logics The mixture of these logics aligns with their goals to establish institutional identity and legitimization in society, but increasingly data journalists also emphasise hopes for greater authentic participation from their audiences across the reporting process. Analysis of data gathered from in-depth interviews with data journalists from 34 countries provides a better and broader empirical context for explanation of data journalists’ goals for audience engagement, the tools they use to connect with audiences, and the degree to which those goals are met. Our findings contribute to a clearer explanation of audience engagement motivations and strategies in data journalism and the similarities that emerge across a broad geographic array of data journalism work. With a focus on crowdsourcing, data disclosure, interactivity, and news dissemination as forms of audience engagement, we synthesise a portrait of attitudes about audience engagement from the data journalist’s perspective and highlight global similarities.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3