6533b82dfe1ef96bd1291d3e
RESEARCH PRODUCT
Chances and Challenges of Computational Data Gathering and Analysis
Epp LaukNiina SormanenJukka JouhkiTuro UskaliMaija PenttinenJukka Rohilasubject
Facebookcomputational data gathering020205 medical informaticsComputer scienceissue-attention cycledata warehouse050801 communication & media studies02 engineering and technologynews flowsWorld Wide WebComputational Technique0508 media and communications0202 electrical engineering electronic engineering information engineeringSocial mediata518semi-public datata113hybrid news ecosystemData collectionEthical issuesSocial networkbusiness.industryCommunication05 social sciencesOnline research methodsData warehousedigital and social media researchbusinessdescription
Digital and social media and large available data-sets generate various new possibilities and challenges for conducting research focused on perpetually developing online news ecosystems. This paper presents a novel computational technique for gathering and processing large quantities of data from Facebook. We demonstrate how to use this technique for detecting and analysing issue-attention cycles and news flows in Facebook groups and pages. Although the paper concentrates on a Finnish Facebook group as a case study, the demonstrated method can be used for gathering and analysing large sets of data from various social network sites and national contexts. The paper also discusses Facebook platform regulations concerning data gathering and ethical issues in conducting online research. peerReviewed
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-10-29 | Digital Journalism |