scholarly journals Computational Personality Assessment - An Overview and Perspective

2021 ◽  
Author(s):  
Clemens Stachl ◽  
Ryan L. Boyd ◽  
Kai Tobias Horstmann ◽  
Poruz Khambatta ◽  
Sandra Matz ◽  
...  
Keyword(s):  
Social Media ◽  
Human Behavior ◽  
Personality Assessment ◽  
Mobile Sensing ◽  
Digital Data ◽  
Objective Measures ◽  
Digital Revolution ◽  
Personality Research ◽  
Online Social Media ◽  
Practical Implications

Computational methods for the representation and analysis of data have drastically increased the objectivity, reliability, and the practical implications of research conducted throughout most scientific pursuits. Our rapidly-emerging potential to transform digital data into objective measures of human behavior, thoughts, and feelings has perfectly positioned personality science as a critical discipline that will benefit from today’s ongoing digital revolution. Here, we review and discuss some of the most promising approaches to computational personality assessment based on data from experience sampling, natural language, online social media, mobile sensing, and images. We present a concise overview of key findings, discuss the potential and promise ofcomputational personality assessment, and highlight important remaining questions in their development and application. We conclude with an optimistic outlook on how computational assessment could fuel the transition from personality research to personality science.

scholarly journals Computational personality assessment

2021 ◽  
Vol 2 ◽  
Author(s):  
Clemens Stachl ◽  
Ryan L. Boyd ◽  
Kai T. Horstmann ◽  
Poruz Khambatta ◽  
Sandra C. Matz ◽  
...  
Keyword(s):  
Social Media ◽  
Big Data ◽  
Personality Assessment ◽  
Reliability And Validity ◽  
Ground Truth ◽  
Mobile Sensing ◽  
Objective Measures ◽  
Digital Revolution ◽  
Affect And Cognition ◽  
Digital Footprints

Computational methods have increased the objectivity of measures of human behavior and positioned personality science to benefit from the ongoing digital revolution. In this review, we define and discuss computational personality assessment (CPA), a measurement process that uses computational technologies to obtain estimates of personality. We briefly review some of the most promising sources of data currently used for CPA: mobile sensing, digital footprints from social media, images, language, and experience sampling. We present a concise overview of key findings, discuss the promise and opportunities of CPA (e.g., moving towards objective measures of personality, obtaining new insights from big data), and highlight important limitations and challenges in the development and application of CPA (e.g., establishing reliability and validity, selecting appropriate ground truth criterion, assessing affect and cognition, implications for ethics and privacy). We conclude with our perspective on how CPA could change our understanding of individual differences.

Effects of Consumers' Social Media Participation on Consumer Behavior

2014 ◽  
pp. 1128-1152
Author(s):  
Ashish Kumar ◽  
Ram Bezawada
Keyword(s):  
Social Media ◽  
Social Media Marketing ◽  
The Internet ◽  
Media Environment ◽  
Digital Revolution ◽  
Digital Era ◽  
Online Social Media ◽  
The People ◽  
Marketing Activities ◽  
Search Marketing

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.

Effects of Consumers' Social Media Participation on Consumer Behavior

2015 ◽  
pp. 1567-1591
Author(s):  
Ashish Kumar ◽  
Ram Bezawada
Keyword(s):  
Social Media ◽  
Social Media Marketing ◽  
The Internet ◽  
Media Environment ◽  
Digital Revolution ◽  
Digital Era ◽  
Online Social Media ◽  
The People ◽  
Marketing Activities ◽  
Search Marketing

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.

Effects of Consumers' Social Media Participation on Consumer Behavior

2015 ◽  
pp. 1670-1694
Author(s):  
Ashish Kumar ◽  
Ram Bezawada
Keyword(s):  
Social Media ◽  
Social Media Marketing ◽  
The Internet ◽  
Media Environment ◽  
Digital Revolution ◽  
Digital Era ◽  
Online Social Media ◽  
The People ◽  
Marketing Activities ◽  
Search Marketing

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.

Potential of virtual-social-physical convergence for project manufacturing

2014 ◽  
Vol 25 (8) ◽  
pp. 1209-1223 ◽  
Author(s):  
Stephen Fox
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Design Methodology ◽  
Digital Data ◽  
Manufacturing Companies ◽  
Virtual Design ◽  
Content Type ◽  
Different Types ◽  
First Time ◽  
Practical Implications

Purpose – The purpose of this paper is to provide an analysis of how virtual-social-physical (VSP) convergence can affect different types of project manufacturing. In particular, VSP convergence that involves combining the read-write functionality of Web 2.0 and related social media together with digital tools for virtual design and for physical manufacturing. Design/methodology/approach – Literature review and interviews with experts in technologies covering VSP convergence: digital data capture, photogrammetry, generative computation, Web 2.0 and social media, digitally driven manufacturing. Findings – VSP convergence can enable the replacement of slow and expensive traditional project manufacturing practices with much faster and less expensive digitally driven technologies. Practical implications – There are new opportunities for expansion of some types of project manufacturing. Notably, there are opportunities in non-industrial developing countries because VSP convergence reduces reliance on industrial infrastructure for the manufacturing of goods. By contrast, opportunities may be limited for expansion of established project manufacturing companies with exclusive brands. Originality/value – The originality is that VSP convergence is related to different types of project manufacturing. Based on VSP convergence, traditional types and new types of project manufacturing are categorized together for the first time. The value of this paper is that it is explained how VSP convergence can address barriers to expansion of different types of project manufacturing.

Digital Footprints of Sensation Seeking

2018 ◽  
Vol 226 (4) ◽  
pp. 232-245 ◽  
Author(s):  
Ramona Schoedel ◽  
Quay Au ◽  
Sarah Theres Völkel ◽  
Florian Lehmann ◽  
Daniela Becker ◽  
...  
Keyword(s):  
Human Behavior ◽  
Sensation Seeking ◽  
New Technologies ◽  
Real Life ◽  
Digital Data ◽  
Data Logging ◽  
Behavioral Correlates ◽  
Personality Research ◽  
Conventional Behavior ◽  
Digital Footprints

Abstract. The increasing usage of new technologies implies changes for personality research. First, human behavior becomes measurable by digital data, and second, digital manifestations to some extent replace conventional behavior in the analog world. This offers the opportunity to investigate personality traits by means of digital footprints. In this context, the investigation of the personality trait sensation seeking attracted our attention as objective behavioral correlates have been missing so far. By collecting behavioral markers (e.g., communication or app usage) via Android smartphones, we examined whether self-reported sensation seeking scores can be reliably predicted. Overall, 260 subjects participated in our 30-day real-life data logging study. Using a machine learning approach, we evaluated cross-validated model fit based on how accurate sensation seeking scores can be predicted in unseen samples. Our findings highlight the potential of mobile sensing techniques in personality research and show exemplarily how prediction approaches can help to foster an increased understanding of human behavior.

Effects of Consumers’ Social Media Participation on Consumer Behavior

2014 ◽  
pp. 53-78 ◽  
Author(s):  
Ashish Kumar ◽  
Ram Bezawada
Keyword(s):  
Social Media ◽  
Social Media Marketing ◽  
The Internet ◽  
Media Environment ◽  
Digital Revolution ◽  
Digital Era ◽  
Online Social Media ◽  
The People ◽  
Marketing Activities ◽  
Search Marketing

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers’ social media participation. Second, the chapter discusses how this participation affects consumers’ behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers’ social media participation and quantifying its impact on their behaviors.

scholarly journals Evolution of bot and human behavior during elections

First Monday ◽  
2019 ◽  
Author(s):  
Luca Luceri ◽  
Ashok Deb ◽  
Silvia Giordano ◽  
Emilio Ferrara
Keyword(s):  
Social Media ◽  
Human Behavior ◽  
Service Providers ◽  
Temporal Dynamics ◽  
Political Discussion ◽  
Online Activity ◽  
Online Social Media ◽  
Social Media Service

Online social media have become one of the main communication platforms for political discussion. The online ecosystem, however, does not only include human users but has given a space to an increasing number of automated accounts, referred to as bots, extensively used to spread messages and manipulate the narratives others are exposed to. Although social media service providers put increasing efforts to protect their platforms, malicious bot accounts continuously evolve to escape detection. In this work, we monitored the activity of almost 245K accounts engaged in the Twitter political discussion during the last two U.S. voting events. We identified approximately 31K bots and characterized their activity in contrast with humans. We show that, in the 2018 midterms, bots changed the volume and the temporal dynamics of their online activity to better mimic humans and avoid detection. Our findings highlight the mutable nature of bots and illustrate the challenges to forecast their evolution.

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