Gendered discourse patterns on online social networks: A social network analysis perspective

Hayat, Tsahi; Lesser, Ofrit; Samuel-Azran, Tal

doi:10.1016/j.chb.2017.08.041

Cited by 39 publications

(30 citation statements)

References 30 publications

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“…With the Internet becoming an increasingly big influence on people's lives, it presents itself as a new medium for sharing ideas, ideologies, and recommendations to an every-growing online population (Hayat, Hershkovitz & Samuel-Azran, 2019). The emergence of new technologies and a heightening sense of global connectivity allow for electronic word of mouth to spread and to influence user thought and behavior (Hayat, Lesser & Samuel-Azran, 2017).…”

Section: 1) Electronic Word Of Mouthmentioning

confidence: 99%

Electronic Word of Mouth and the Music Industry in the Age of Web 2.0

Greener¹,

Salcum²,

Goldberg³

2019

Preprint

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The evolving dynamics of the Internet have facilitated an era in which information on virtually any given topic is readily available and richly abundant. When seeking knowledge online on specific subject matter, one may encounter a wide assortment of material ranging from professional academic research to an everyman’s personal opinion – the spectrum of information available online is infinite (Hayat & Hershkovitz, 2018). The emergence and popularization of social media and networking sites in particular have led to a change in digital dynamics, segueing from the norm of mass cultural consumption to that of mass production . Today, user generated content accounts for a generous portion of online resources, and has a notable affect on people’s thoughts and actions.Changes in the electronic landscape have also revolutionized industries in addition to transforming cultural norms. The digitization of services and products has led to the decline of print publications, a drastic shift in consumer’s purchasing habits, and a metamorphosis in the music industry. With today’s song streaming services and free and readily available online audio content, the big business of record labels and album sales are antiquated and inaccurate representations of success in the market.This work takes into account the heavy influence that the Internet has on the music industry, and aims to find a positive correlation between the volume of online discussion on a given song and the amount of Youtube views that song will have. In other words, to what extent does social media mentions predict the success of a song on Youtube? In Section 3 of this research we will detail existing work relating to this topic and discuss the changes of the Internet in the era of Web 2.0, as well as the importance of electronic word of mouth (eWOM) and it’s impact on online consumer interactions. An account of our methodology in conducting this study, and an explanation of the data we used, can be found in Section 5. In Section 7, we discuss the implications of our results by drawing conclusions from the data we collected.

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Section: 1) Electronic Word Of Mouthmentioning

confidence: 99%

Electronic Word of Mouth and the Music Industry in the Age of Web 2.0

Greener¹,

Salcum²,

Goldberg³

2019

Preprint

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“…Previous studies have demonstrated that gender plays s significant role in online interactions (Hayat, Lesser & Samuel-Azran, 2017;Lesser, Hayat, & Elovici, 2016).…”

Section: Related Workmentioning

confidence: 99%

I can’t get no satisfaction: Do opposites attract?

Eskenazi¹,

Greenfest²

2019

Preprint

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The purpose of the following study is to examine the correlation between relationship satisfaction and homophiles in romantic relationships. A survey was used in order to conduct the research. There were 38 participants in the study. There were two conditions created in order to fill out the survey. 17 participants were instructed to think about the most satisfying relationship they have had, whereas 21 participants were asked to think about the most unsatisfying relationship they have had in order to answer the survey. The researchers found that the most significant factors in determining relationship satisfaction were political and religious views.

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“…In recent years, the rise of the Internet has provided an opportunity to study social networks on a larger scale ( Hayat et al, 2017 ). A key element of social networks is the ability for individuals to simultaneously interact in multiple social contexts by maintaining different types of social ties.…”

Section: Future Directionsmentioning

confidence: 99%

“…The overlay of several networks on the same set of nodes (individuals) is called a multiplex network (MPN). The MPN facilitates the description, quantification, and analysis of complex sets of relationships among individuals ( Hayat et al, 2017 ; Bilecen et al, 2018 ). Lately, Parkinson et al (2018) proposed a new approach to characterize individuals’ social network.…”

Section: Future Directionsmentioning

confidence: 99%

Neuroimaging Studies Reveal the Subtle Difference Among Social Network Size Measurements and Shed Light on New Directions

Liu

Huang

et al. 2018

Front. Neurosci.

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Social network size is a key feature when we explore the constructions of human social networks. Despite the disparate understanding of individuals’ social networks, researchers have reached a consensus that human’s social networks are hierarchically organized with different layers, which represent emotional bonds and interaction frequency. Social brain hypothesis emphasizes the significance of complex and demanding social interaction environments and assumes that the cognitive constraints may have an impact on the social network size. This paper reviews neuroimaging studies on social networks that explored the connection between individuals’ social network size and neural mechanisms and finds that Social Network Index (SNI) and Social Network Questionnaires (SNQs) are the mostly-adopted measurements of one’s social network size. The two assessments have subtle difference in essence as they measure the different sublayers of one’s social network. The former measures the relatively outer sub-layer of one’s stable social relationship, similar to the sympathy group, while the latter assesses the innermost layer—the core of one’s social network, often referred to as support clique. This subtle difference is also corroborated by neuroimaging studies, as SNI-measured social network size is largely correlated with the amygdala, while SNQ-assessed social network size is closely related to both the amygdala and the orbitofrontal cortex. The two brain regions respond to disparate degrees of social closeness, respectively. Finally, it proposes a careful choice among the measurements for specific purposes and some new approaches to assess individuals’ social network size.

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Gendered discourse patterns on online social networks: A social network analysis perspective

Cited by 39 publications

References 30 publications

Electronic Word of Mouth and the Music Industry in the Age of Web 2.0

Electronic Word of Mouth and the Music Industry in the Age of Web 2.0

I can’t get no satisfaction: Do opposites attract?

Neuroimaging Studies Reveal the Subtle Difference Among Social Network Size Measurements and Shed Light on New Directions

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