Analyze the document Details on article
| Id | 789 | |
| Author | Mihailidis P., Gamwell A. |
|
| Title | Designing Engagement in Local News: Using FOIA Requests to Create Inclusive Participatory Journalism Practices | |
| Reference | Mihailidis P., Gamwell A.; Designing Engagement in Local News: Using FOIA Requests to Create Inclusive Participatory Journalism Practices ;Journalism Practice vol: issue: page: |
Keywords | civic media; community engagement; FOIA; News literacy; participatory design; participatory journalism; public data |
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091090865&doi=10.1080%2f17512786.2020.1819381&partnerID=40&md5=83d531fb6677804813d690eeb06c5b35 |
|
| Abstract | This study explores how an engaged journalism process supported by participatory design practices can impact attitudes and perceptions of audience engagement in local journalism. Using MuckRock’s Freedom of Information Act (FOIA) submission tool, journalists, journalism students, and community stakeholders engaged in participatory design workshops centered around pressing local issues and creative approaches to filing FOIA requests. This study re-imagines FOI requests not just as a way to locate source material for important local reporting, but as a visible process that invites the public to engage and understand how that reporting is done — and how anyone can use and benefit from the process. Findings show that design-driven engagement journalism practices can make public records culture more inclusive, engaging, and accessible, and support more collaborative and creative engagement between journalists and audiences. © 2020 Informa UK Limited, trading as Taylor & Francis Group. |
|
| Metodology | ||
| DOI | 10.1080/17512786.2020.1819381 | |
| Search Database | SC (Scopus) |
|
| Technique | ||
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD