Social Data Analytics sebagai Metode Alternatif dalam Riset Psikologi

https://doi.org/10.22146/buletinpsikologi.27751

Cleoputri Yusainy(1*), Anif Fatma Chawa(2), Siti Kholifah(3)

(1) Universitas Brawijaya
(2) Jurusan Psikologi FISIP Universitas Brawijaya
(3) Jurusan Psikologi FISIP Universitas Brawijaya
(*) Corresponding Author

Abstract


The usage of technological based utilities has been increasing rapidly in our daily life. This phenomenon breeds two fundamental changes: Data explosion and social structures. It takes a different approach to gain insights and benefits from the phenomenon. In psychological science, the acquintance of alternative methods to keep up with the problems should be a necessity. This article introduces two social media data analytical techniques, namely (i) sentiment analysis as the process of computationally identifying, extracting, and quantifying the affective condition towards a particular target, and (ii) social network analysis (SNA) as the process of investigating social structures through the use of Graph Theory dan Network Science. Overviews are presented in general terms with expectation to bring quality of research in Psychology to the next level.

Keywords


social network analysis (SNA); analisis sentimen; Psikologi



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DOI: https://doi.org/10.22146/buletinpsikologi.27751

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