Analytics of Social Media Data
Loading...
Author (Corporation)
Publication date
2021
Typ of student thesis
Course of study
Collections
Type
06 - Presentation
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Place of publication / Event location
Online
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
The spread and use of social networks provide a rich data source that can be used to answer a wide range of research questions from various disciplines. However, the nature of social media data poses a challenge to the analysis. The aim of this study is to give an in-depth overview of the research analyzing social media data since 2017. An extensive literature review based on 94 papers lead to the findings that clear definitions are neither established nor commonly applied. Predominant subject areas include marketing, hospitality and tourism, disaster management, and disruptive technology. The majority of analyzed social media data is taken from Twitter. Sentiment and content analysis are the current prevailing methods. Half of the studies include practical implications. Based on the literature review clear definitions are provided and future avenues for high quality research are suggested.
Keywords
Subject (DDC)
Event
14TH Academy of Innovation, Entrepreneurship, and Knowledge Conference. Innovation, Management, and Governance for Sustainable Growth
Exhibition start date
Exhibition end date
Conference start date
14.06.2021
Conference end date
16.06.2021
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
Peer review of the abstract
Open access category
License
Citation
Zachlod, C., Samuel, O., Ochsner, A., & Werthmüller, S. (2021). Analytics of Social Media Data. 14TH Academy of Innovation, Entrepreneurship, and Knowledge Conference. Innovation, Management, and Governance for Sustainable Growth. https://irf.fhnw.ch/handle/11654/51991