Who interacts on the Web?: The intersection of users’ personality and social media use

Correa, Teresa; Hinsley, Amber; Zúñiga, Homero Gil de

doi:10.1016/j.chb.2009.09.003

Cited by 1,458 publications

(1,034 citation statements)

References 31 publications

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“…In this study, it was determined that the adolescents having higher level of extroversion spend more time in social networks. This finding is in corroboration with those of Wehrli (2008) and Correa et al (2010). The extroversive persons are social, talkative, assertive, and active.…”

Section: Discussion and Interpretation On If There Is Significant Difsupporting

confidence: 81%

“…The Council of Internet in Ministry of Transportation (2011) has emphasized that 66% of the users spend time for at least once a day and this duration is 72 minutes. Correa et al (2010) have reported positive correlation of use of social media with extroversion and openness for improvement, and negative correlation with neuroticism. Wehrli (2008) has asserted that extroversion play significant role in establishing network-based connections.…”

Section: Discussion and Interpretation On If There Is Significant Difmentioning

confidence: 99%

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The relationship between social network usage and some personality traits

Yılmaz¹,

Bilgin

2017

HumanSciences

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The aim of the research, is to examine the relationship between adolescents' five-factor personality features by use of Social Media. As for sample, there are 548 girl and 441 boy students and they are between the ages of 11-18. Adolescents' data participating in the study, are determined by Big Five Factor personality traits Scale. Prepared data on the use of social media called "Personal Information Form" has been obtained by researcher. In the analysis of data, understanding of social media use times whether it differs according to big five personality traits, According to the social media using time, there was no significant difference between the agreeableness and openness subscales. On the other hand, there is a significant differences between conscientiousness, extraversion and neuroticism. In association with five personality traits of social media purpose, it was found that there are significant differences with different personality traits for each purpose.

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Section: Discussion and Interpretation On If There Is Significant Difsupporting

confidence: 81%

Section: Discussion and Interpretation On If There Is Significant Difmentioning

confidence: 99%

The relationship between social network usage and some personality traits

Yılmaz¹,

Bilgin

2017

HumanSciences

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“…Such a high number of users could be explained by the variety of SNS possibilities. Each SNS user can communicate with friends or strangers, maintain relationships, enlarge their circle of friends, share private information, collaborate or just have fun ( [24]; [51]; [62]; [65]; [67]; [72]). Due to this, many people integrated social network sites in their daily routine ( [43], [65], [72]) and spend there between 10 minutes and 3 hours every day ( [28]; [68]; [62]).…”

Section: Social Network Sitesmentioning

confidence: 99%

“…Apart from that, many people use SNS to share private information like photos or videos or try to enlarge their circle of friends. Others just pursue the aim to collaborate or to have fun while playing online games and compete with friends ( [24]; [51]; [62]; [65]; [67]; [72]). Additionally further SNS (such as Xing or LinkedIn) support the application process of job seekers by providing the possibility to upload CVs, connect with their job network or communicate with recruiters and headhunters for job offers [74].…”

Section: Introductionmentioning

confidence: 99%

Technology Adoption by Elderly People – An Empirical Analysis of Adopters and Non-Adopters of Social Networking Sites

Maier

Laumer

Eckhardt

2011

Theory-Guided Modeling and Empiricism in Information Systems Research

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This research paper analyzes the impact of attitudinal, control and normative beliefs on the intention to use social network sites (SNS) by people older than 50. Using the Model of Adoption of Technology in Households (MATH) and the data of 115 social network site adopters and 53 non-adopters it can be shown that the intention of adopters and non-adopters has been influenced by different reasons. Perceived Ease of Use and Normative Beliefs have only a significant impact for adopters. Moreover, this research paper unfolds Fear of Technology as a strong influence factor for non-adopters in regard not to use SNS in their daily routine. The paper concludes with a discussion of an age-sensitive design of SNS in order to address the digital divide.

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“…Additionally, the same authors in a more recent publication merged aggregated mobile telephone activity with census and social media data to create an ambient population “collective” dataset (Malleson & Andresen, 2016). However, a drawback of using social media to develop population at risk models is that they underestimate older people living or working in a study area because social media are mostly used by young people (Correa, Hinsley, & De Zuniga, 2010). …”

Section: Background: Population Crime Time and Placementioning

confidence: 99%

Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

Kounadi

Ristea

Leitner

et al. 2017

Cartography and Geographic Information Science

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Population at risk of crime varies due to the characteristics of a population as well as the crime generator and attractor places where crime is located. This establishes different crime opportunities for different crimes. However, there are very few efforts of modeling structures that derive spatiotemporal population models to allow accurate assessment of population exposure to crime. This study develops population models to depict the spatial distribution of people who have a heightened crime risk for burglaries and robberies. The data used in the study include: Census data as source data for the existing population, Twitter geo-located data, and locations of schools as ancillary data to redistribute the source data more accurately in the space, and finally gridded population and crime data to evaluate the derived population models. To create the models, a density-weighted areal interpolation technique was used that disaggregates the source data in smaller spatial units considering the spatial distribution of the ancillary data. The models were evaluated with validation data that assess the interpolation error and spatial statistics that examine their relationship with the crime types. Our approach derived population models of a finer resolution that can assist in more precise spatial crime analyses and also provide accurate information about crime rates to the public.

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Who interacts on the Web?: The intersection of users’ personality and social media use

Cited by 1,458 publications

References 31 publications

The relationship between social network usage and some personality traits

The relationship between social network usage and some personality traits

Technology Adoption by Elderly People – An Empirical Analysis of Adopters and Non-Adopters of Social Networking Sites

Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

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