Authorship Studies and the Dark Side of Social Media Analytics

Juola, Patrick

doi:10.3897/jucs.2020.009

Cited by 7 publications

(2 citation statements)

References 31 publications

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“…Fear of government intrusions is an emotion that is fueled by the internet users' perceived threat of government intrusions into their privacy, and may affect their behavior online (Juola, 2020;S. Wu, 2020).…”

Section: Research Modelmentioning

confidence: 99%

Are Perceptions About Government and Social Media Providers Related to Protection Motivation Online?

Vrhovec

Fujs

2023

International Journal of Cyber Behavior, Psychology and Learning

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This study aims to explore the relations between perceptions about government and social media providers, and protection motivation of social media users. A survey was conducted among students at a public university in Slovenia (N=276). The results of PLS-SEM analysis indicate that fear of government intrusions is associated with both perceived threat and privacy concern. This establishes the perceptions about government as important factors related to both privacy concern and threat appraisal according to protection motivation literature. Non-significant relations between trust in internet service provider, and perceived threat and privacy concern indicate that social media users may not consider them as relevant cyberspace actors capable of threatening their privacy on social media. The results also suggest that trust in social media providers moderates the association between privacy concern and protection motivation. Privacy concern appears to be related to protection motivation only if trust in social media provider is high.

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Section: Research Modelmentioning

confidence: 99%

Are Perceptions About Government and Social Media Providers Related to Protection Motivation Online?

Vrhovec

Fujs

2023

International Journal of Cyber Behavior, Psychology and Learning

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“…There is another application of historical studies supported by author style analysis that extends application of social media data (Juola 2020) through representative case study analysis. An interesting fact that the author sticks to his/her Native Language while developing manuscripts.…”

Section: Social Media and Author Attribution Issuesmentioning

confidence: 99%

State of the Art in Authorship Attribution With Impact Analysis of Stylometric Features on Style Breach Prediction

Prasad

Chakkaravarthy

2022

Journal of Cases on Information Technology

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The most influential research was studied that spans over the domains from Authorship attribution and stylometry. The reference material contributes robust classifiers with reasonable array of feature extraction techniques, such as Dirichlet–multinomial change point regression to extract the progress of inscription elegance with time, comprising plodding variations in stylishness as the author ages and unexpected vicissitudes. This paper presents quantifiable evaluation of the research in terms of year-wise research output, diversity of applications, nature of collaboration, characteristics of highly productive techniques and the benchmark of performance criteria by eminent high impact researchers. The outcomes of this study can by deployed for dialectology analysis and corpus linguistics, stylistics, natural language processing, classification, and literary and historical analysis, forensic analysis etc.

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