Machine prediction of personality from Facebook profiles

Wald, Randall; Khoshgoftaar, Taghi M.; Sumner, Chris

doi:10.1109/iri.2012.6302998

Cited by 64 publications

(22 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Looking at the numbers related to OSN usage [2] we must understand the reasons that motivate people to use them. These motivations differ from user to user, some focus on broadcasting information about themselves while others are more interested in passively consuming information produced by others [4].…”

Section: Motivation For the Usage Of Osnsmentioning

confidence: 99%

Multidimensional Approach to Online Interest Networks

Barbosa¹,

Santos²

2017

dtcse

View full text Add to dashboard Cite

Abstract. Online social networks allow users to socialise with others and also construct and manage their identities via self-presentation. This creates a network of interests that is often represented by a single network that aggregates all of the connections, however it is possible to increase the possibilities by dividing it into layers of individual networks. In this paper we propose a model for a multidimensional network of interests based on the interests that online social network users provide on their profiles. This multidimensional approach can be useful for getting insights about user behaviour or even help organisations understand the impact of their online content.

show abstract

Section: Motivation For the Usage Of Osnsmentioning

confidence: 99%

Multidimensional Approach to Online Interest Networks

Barbosa¹,

Santos²

2017

dtcse

View full text Add to dashboard Cite

show abstract

“…Due to a constant presence in the lives of their users, online social networks have a decidedly strong social impact leading to a blur between offline and virtual life as well as the concept of digital identity [7]. The motivations for the usage of an online social network differ from user to user, some focus on broadcasting information about themselves while others are more interested in passively consuming information produced by others [21]. This usage is primarily motivated by two basic social needs, the need to belong (necessity to affiliate with others and gain social acceptance) and the need for self-presentation (the continuous process of impression management) [22].…”

Section: Online Social Behaviourmentioning

confidence: 99%

“…According to the work of R. Wald et al [21] users of online social networks are becoming more aware of the information they post, and more concerned about how this information can be used to identify them. Most concerns related to social networking posts focus on raw demographic information or specific offensively posts, for example, religious or political affiliation may impact on how an employer views a potential employee, the same way as an inflammatory post or inappropriate photograph.…”

Section: B Limitationsmentioning

confidence: 99%

Online social networks as sensors in smart environments

Barbosa

Santos

2016

2016 Global Information Infrastructure and Networking Symposium (GIIS)

View full text Add to dashboard Cite

Abstract-Smart environments need to successfully identify their user needs, personality and behaviour in order to prepare appropriate interactions when facing different types of events. Personality is strongly associated with human behaviour and can be predicted with relatively accuracy by analysing online social profiles. Due to a constant presence in the lives of their users, online social networks have a decidedly strong social impact leading to a blur between offline and virtual life as well as the concept of digital identity and provide a rich source of data that can be used to profile and understand personal preferences and interactions of an individual. Users reveal a lot about themselves and share their personal preferences in a freely way and this paper exploits a new approach for smart environments to correctly identify their user's personality, using online social network as a sensor.

show abstract

“…Simi-larly, in another work, Wald et al [56] incorporated both demographic and text, where 31 demographic and 80 text-based independent attributes from Facebook were used. Three algorithms, linear regression, REPTree and decision tables were used to compare results.…”

Section: Previous Workmentioning

confidence: 99%

“…In addition to the studies from Kartelj et al [39] and Wald et al [56], Bachrach et al [8] also used machine learning algorithms to predict personality from Facebook.…”

Section: Previous Workmentioning

confidence: 99%

Personality assessment using multiple online social networks

Bhardwaj

Atrey

Saini

et al. 2015

Multimed Tools Appl

View full text Add to dashboard Cite

Personality plays an important role in various aspects of our daily life. It is being used in many application scenarios such as i) personalized marketing and advertisement of commercial products, ii) designing personalized ambient environments, iii) personalized avatars in virtual world, and iv) by psychologists to treat various mental and personality disorders. Traditional methods of personality assessment require a long questionnaire to be completed, which is time consuming. On the other hand, several works have been published that seek to acquire various personality traits by analyzing Internet usage statistics. ii

show abstract

Machine prediction of personality from Facebook profiles

Cited by 64 publications

References 16 publications

Multidimensional Approach to Online Interest Networks

Multidimensional Approach to Online Interest Networks

Online social networks as sensors in smart environments

Personality assessment using multiple online social networks

Contact Info

Product

Resources

About