Author:
Bechmann Anja,Vahlstrup Peter Bjerregaard
Abstract
The aim of this article is to discuss methodological implications and challenges in different kinds of deep and big data studies of Facebook and Instagram through methods involving the use of Application Programming Interface (API) data. This article describes and discusses Digital Footprints (www.digitalfootprints.dk), a data extraction and analytics software that allows researchers to extract user data from Facebook and Instagram data sources; public streams as well as private data with user consent. Based on insights from the software design process and data driven studies the article argues for three main challenges: Data quality, data access and analysis, and legal and ethical considerations.
Publisher
University of Illinois Libraries
Subject
Computer Networks and Communications,Human-Computer Interaction
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Big Social Research in Practice;Synthesis Lectures on Information Concepts, Retrieval, and Services;2024
2. Systemic Gendering in Facebook Group Participation;Social Media + Society;2021-10
3. Social Media Data Misuse;Advances in Intelligent Networking and Collaborative Systems;2021-08-07
4. Big Data;Handbook of Research Ethics and Scientific Integrity;2020
5. How to Compare Different Social Media: A Conceptual and Technical Framework;Second International Handbook of Internet Research;2019-10-10