2018
DOI: 10.1007/978-3-319-95465-3_16
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(5 citation statements)
references
References 19 publications
0
5
0
Order By: Relevance
“…The Convergent parallel design was used for its ability to holistically and harmoniously handle both qualitative and quantitative data while clarifying possible contradictions or incongruent findings through rigorous probes . The reliance on social media data (Facebook) for the conduct of the study is empirically grounded in research (Zachlod, Samuel, Ochsner & Werthmüller, 2022;Drivas, Kouis, Kyriaki-Manessi & Giannakopoulou, 2022;Chen, Cheng & Chen, 2018;Stieglitza, Mirbabaiea, Rossa & Neubergerb, 2018;Sloan & Quan-Haase, 2017;Townsend & Wallace, 2016;Social Media Research Group, 2016;Al-Qurishi, Al-Rakhami, Alrubaian, Alarifi, Rahman & Alamri, 2015;McCorkindale & DiStaso, 2014;Batrinca & Treleaven, 2014;Moreno, Goniu, Moreno, & Diekema, 2013;Efthymioua & Antoniou, 2012;Thiel, Kötter, Berthold, Silipo & Winters, 2012). Al-Qurishi et al (2015) observe that social media has become one of the largest sources of huge amounts of data for scientific inquiries.…”
Section: Methodsmentioning
confidence: 99%
“…The Convergent parallel design was used for its ability to holistically and harmoniously handle both qualitative and quantitative data while clarifying possible contradictions or incongruent findings through rigorous probes . The reliance on social media data (Facebook) for the conduct of the study is empirically grounded in research (Zachlod, Samuel, Ochsner & Werthmüller, 2022;Drivas, Kouis, Kyriaki-Manessi & Giannakopoulou, 2022;Chen, Cheng & Chen, 2018;Stieglitza, Mirbabaiea, Rossa & Neubergerb, 2018;Sloan & Quan-Haase, 2017;Townsend & Wallace, 2016;Social Media Research Group, 2016;Al-Qurishi, Al-Rakhami, Alrubaian, Alarifi, Rahman & Alamri, 2015;McCorkindale & DiStaso, 2014;Batrinca & Treleaven, 2014;Moreno, Goniu, Moreno, & Diekema, 2013;Efthymioua & Antoniou, 2012;Thiel, Kötter, Berthold, Silipo & Winters, 2012). Al-Qurishi et al (2015) observe that social media has become one of the largest sources of huge amounts of data for scientific inquiries.…”
Section: Methodsmentioning
confidence: 99%
“…Cyber criminals such as child predators, fraudsters, phishers, and others can create accounts with false identities hiding their true intentions behind innocent looking profiles. 79 As motorcycle gangs in Indonesia started to pose a threat against society, government needed an analysis to figure out their community structure. Negara et al (2020) took on the task and used Netvizz application to extract user data from fan pages in Facebook.…”
Section: Forensicsmentioning
confidence: 99%
“…Even though they are mainly used to stay in touch with friends and socialize, extensive and anonymous nature of OSN's made them a perfect medium for crimes. Cyber criminals such as child predators, fraudsters, phishers, and others can create accounts with false identities hiding their true intentions behind innocent looking profiles 79 …”
Section: Research Field‐based Literature Reviewmentioning
confidence: 99%
“…Social media data analysis has characteristics of big data that differ from the data analysis methods traditionally used by social scientists and previously applied by mass communication researchers [ 20 ]. As a result, social media data analysis is a current area of researchers’ interest and requires further attention [ 21 ].…”
Section: Introductionmentioning
confidence: 99%