Persona Generation from Aggregated Social Media Data

Jung, Sin‐Ho; An, Jisun; Kwak, Haewoon; Ahmad, Moeed; Nielsen, Lene; Jansen, Bernard J.

doi:10.1145/3027063.3053120

Cited by 58 publications

(38 citation statements)

References 22 publications

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“…Lene Nielsen [35] points out that instead of looking at the entire person, the persona method uses the focus area as a lens that reflects the relevant attitude and the specific context associated with it. The persona method has been applied in many fields, such as medical treatment [36], education [37], social media [38], and so on.…”

Section: The Persona Methodsmentioning

confidence: 99%

An Extension of Social Network Group Decision-Making Based on TrustRank and Personas

Mei¹,

Wang²,

Gong³

2020

IJCIS

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With the development of social networking big data, social network group decision-making (SN-GDM) has been widely applied in many fields. This paper focuses on three main components: (1) the determination of the decision makers' (DMs) weights based on different social influence; (2) the anti-deception mechanism; and (3) the persona method. We introduce the TrustRank algorithm and the persona method into SN-GDM. Based on the TrustRank algorithm, both trusted and deceptive DMs in a seed set are artificially identified and given initial static scores to derive the influence of each DM. Additionally, the persona method is introduced to cluster DMs and achieve personalized decision-making. Further, we present a numerical example and comparison to demonstrate the efficiency of the framework in coping with non-socially shared preferences in SN-GDM. As expected, our findings indicate that our framework reduces the influence of deceptive DMs on the decision results.

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Section: The Persona Methodsmentioning

confidence: 99%

An Extension of Social Network Group Decision-Making Based on TrustRank and Personas

Mei¹,

Wang²,

Gong³

2020

IJCIS

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“…With the increased availability of online user and customer data, there is the opportunity to use data‐driven personas derived directly from a system's users or a company's customer analytics data (Vecchio, Mele, Ndou, & Secundo, ), with each persona representing a distinct audience segment. Personas developed from this approach can be created automatically (Jung et al, ), which we did for this research.…”

Section: Methodsmentioning

confidence: 99%

Capturing the change in topical interests of personas over time

Jansen

Jung

Salminen

2019

Proceedings of the Association for Information Science and Tech

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In this research, we collect monthly content consumption and demographic data from YouTube over two years for a large media publisher. We use automation to generate 15 personas each month and examine the consistency of the generated personas over time. We find that there are 35 unique personas in total for the entire period, reflecting the changes in the underlying audience population. For each persona, we generate topics of interest and identify the top three monthly topics for each of the 35 personas following an identical algorithmic approach each month. We then compare the sets of topical interests of the personas month‐over‐month for the entire two‐year period. Findings show that there is an average 20.2% change in topical interests and that 68% of the personas experience more topical change than topical consistency. Findings suggest that the topical interests of online audiences are fluid and changes in the underlying audience data can occur within a relatively short period, resulting in the need for constant updating of personas using data‐driven methods. The implications for organizations seeking to understand their online audience are that they should employ routine data analysis to detect changes in the audience interests and investigate ways to automate their persona generation processes.

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“…Mereka mengembangkan metodologi untuk generasi persona menggunakan media sosial waktu nyata untuk distribusi produk melalui platform online, dengan begitu bisa memudahkan untuk menyeleksi setiap kategori persona. Hasil yang didapatkan dari penelitian ini adalah kepribadian bisa cepat dan secara otomatis dibuat skala besar, dan menghasilkan persona yang didasarkan pada nyata data yang menceriminkan orang sesungguhnya [9].…”

Section: Tinjauan Pustakaunclassified

Perspektif Awam Dalam Implementasi Elisitasi Kebutuhan Menggunakan User Persona

Wahyuni

Kusuma

Abdillah³

et al. 2020

SISTEMASI

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Software development is demanded to make it easier for users to meet the needs of users who have not yet resolved in the system. one approach that is quite effective is Persona which is a Human Computer Interaction (HCI) technique by gathering information about users to collect their characteristics. HCI here is the process of interaction between humans and computers.. The main key to HCI is to have to deepen the user experience (UX) and also the user interface (UI) because an effective HCI based on User Persona identification can improve software quality. The purpose of this study is to identify some information that is less effective by designing user-persona methods to make HCI more effective. This research implements the Cooper Method although this method is quite difficult to do with various identification steps and validation of one channel in one phase which makes the weak point. The Persona technique in the Cooper method is suitable to be implemented in this study because there is research on PL by identifying behavior patterns of PL users that are compatible with HCI needs to be more effective. The various identification steps show more accurate results. Modifications made by the author in this study to ensure validation in each step of the Cooper method with an iterative model. Effective HCI based on User Identification can improve UX and UI quality.

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Persona Generation from Aggregated Social Media Data

Cited by 58 publications

References 22 publications

An Extension of Social Network Group Decision-Making Based on TrustRank and Personas

An Extension of Social Network Group Decision-Making Based on TrustRank and Personas

Capturing the change in topical interests of personas over time

Perspektif Awam Dalam Implementasi Elisitasi Kebutuhan Menggunakan User Persona

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