Defining Profiling

Ferraris, Valeria; Bosco, Francesca; Cafiero, G.; D'Angelo, Elena; Suloyeva, Y.

doi:10.2139/ssrn.2366564

Cited by 12 publications

(6 citation statements)

References 24 publications

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“…The articles in our literature review presented three key terms that are relevant to defining social media screening: profile, profiling, and social profiling. A profile is a collection of interrelated data that represents a category of subjects—human or nonhuman, individual or group (Council of Europe, 2010; Ferraris et al, 2013). Profiling is the application of this data collection to a subject by using technology and algorithms to construct individual profiles from large data sets in order to predict personal preferences, behaviors, and attitudes and make recommendations or decisions about them (Bilal et al, 2019; Ferraris et al, 2013; Hildebrandt, 2008).…”

Section: Definition and Taxonomy Of Profile Profiling And Social Prof...mentioning

confidence: 99%

“…Social profiling , or user profiling, is the process of modeling user profiles by collecting publicly available data from online social networks, such as Facebook, Twitter, Instagram, LinkedIn, and Pinterest (Bilal et al, 2019). It has been used in both public and private sectors, including security and criminal investigations, finance, marketing (e.g., for recommendations, personalized searches, and advertisements targeted to customers), health care, education, and employment (Ferraris et al, 2013; Kanoje et al, 2014). In the employment sector, social profiling techniques can help classify and analyze candidates’ potential for recruitment or organizational management purposes.…”

Section: Definition and Taxonomy Of Profile Profiling And Social Prof...mentioning

confidence: 99%

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Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in the Era of AI-Assisted Recruiting

Kong,

Ding

2023

Journal of Business and Technical Communication

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Employers are increasingly turning to innovative artificial intelligence recruiting technologies to evaluate candidates’ online presence and make hiring decisions. Such social media screening, or social profiling, is an emerging approach to assessing candidates’ social influence, personalities, and workplace behaviors through their publicly shared data on social networking sites. This article introduces the processes, benefits, and risks of social profiling in employment decision making. The authors provide important guidance for job applicants, technical and professional communication instructors, and hiring professionals on how to strategically respond to the opportunities and challenges of automated social profiling technologies.

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Section: Definition and Taxonomy Of Profile Profiling And Social Prof...mentioning

confidence: 99%

Section: Definition and Taxonomy Of Profile Profiling And Social Prof...mentioning

confidence: 99%

Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in the Era of AI-Assisted Recruiting

Kong,

Ding

2023

Journal of Business and Technical Communication

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“…In this section, we present an overview of how to profile users and take their behavior into consideration. As mentioned above, profiling refers to the process of building user profiles through systematic data analysis [35]. It is accomplished using algorithms or mathematical techniques that enable pattern discovery in a large amount of data.…”

Section: Profiling and User Behaviormentioning

confidence: 99%

Cosine similarity-based algorithm for social networking recommendation

Al-Otaibi

Altwoijry

Alqahtani

et al. 2022

IJECE

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Social media have become a discussion platform for individuals and groups. Hence, users belonging to different groups can communicate together. Positive and negative messages as well as media are circulated between those users. Users can form special groups with people who they already know in real life or meet through social networking after being suggested by the system. In this article, we propose a framework for recommending communities to users based on their preferences; for example, a community for people who are interested in certain sports, art, hobbies, diseases, age, case, and so on. The framework is based on a feature extraction algorithm that utilizes user profiling and combines the cosine similarity measure with term frequency to recommend groups or communities. Once the data is received from the user, the system tracks their behavior, the relationships are identified, and then the system recommends one or more communities based on their preferences. Finally, experimental studies are conducted using a prototype developed to test the proposed framework, and results show the importance of our framework in recommending people to communities.

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“…53 There are several categories to distinguish different types of profiling, as explained by Valeria Ferraris. 54 There are 'individual profiling' that collects information on an individual and/or employ that information to derive, infer, or predict unknown characteristics of the individual's behavior in the future. Another one is 'group profiling' that aggregates information about a group of individuals.…”

Section: Profiling and The Connection To Automatedmentioning

confidence: 99%

Legal Aspects of Artificial Intelligence on Automated Decision-Making in Indonesia

Olivia¹

2020

eJLH

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This paper analyzes the importance of Indonesia's comprehensive legal framework on automated decision-making empowered by Artificial Intelligence, comparing it to the European Union, the United States, and China. Specifically, this paper inquires about the status quo of the legal protection of automated decision-making In Indonesia. The analysis highlights profiling in an automated decision-making system with the following discussion about personal data protection. In this context, the European Union's member states set out the General Data Protection Regulation (GDPR) that prohibits automated decision-making to a certain extent. In the United States, the practice of automated decision-making is rather usual. Simultaneously, China takes an exceptional measure instead and develops this automation through a social credit system. The analysis concludes that Indonesia has weak legal protection towards personal data and profiling, which later becomes the basis in facilitating automated decision-making. The provision of automated decision-making and profiling is the absolute bare minimum to Indonesia's Personal Data Protection Bill due to insufficient legal certainty. In the end, it is paramount for lawmakers to consider a comprehensive regulation on automated decision-making by adopting the European Union's GDPR framework. KEYWORDS: Artificial Intelligence, Automated Decision-Making, Personal Data Protection.

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Defining Profiling

Cited by 12 publications

References 24 publications

Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in the Era of AI-Assisted Recruiting

Tools, Potential, and Pitfalls of Social Media Screening: Social Profiling in the Era of AI-Assisted Recruiting

Cosine similarity-based algorithm for social networking recommendation

Legal Aspects of Artificial Intelligence on Automated Decision-Making in Indonesia

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