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- research-articleNovember 2024
Pseudo-community trust and member self-disclosure: An empirical study
AbstractThis paper introduces a novel theoretical lens of pseudo-community trust and studies its effect on member disclosure on social networking sites (SNSs). We collect survey data from 229 SNS users and validate the research model using the structural ...
- research-articleJuly 2024
Authentic presentation or false exaggeration? Exploring the effects of social- and personal-based comparisons from cognitive emotion theory
AbstractThis study identifies the potential mechanisms to reveal the differential relationships between social- and personal-based comparisons and self-presentation and self-exaggeration. Specifically, drawing upon cognitive emotion theory, this study ...
Highlights- This study reveals the differential mechanisms driving self-presentation and self-exaggeration.
- Social comparison and life dissatisfaction are associated with envy and shame.
- Envy is positively associated with self-presentation and ...
- research-articleDecember 2023
Do socially anxious and non-anxious individuals differ in their social media use?
AbstractNumerous studies have shown that socially anxious individuals prefer technology-mediated communication over face-to-face interactions. The aim of this study was to examine possible differences between socially anxious and non-anxious individuals ...
Highlights- Socially anxious individuals do not differ from non-socially anxious individuals in time spent on social media
- Socially anxious individuals are characterized by less active social media use compared to non-socially anxious individuals
- research-articleNovember 2023
RGF-Bot: A Novel Feature Selection Method to Identify Malicious Bot Accounts on Social Networking Sites Using Machine Learning
AbstractA bot is an automated code used for malicious activities such as posting fake news, spreading malware, commenting on tweets, and liking the tweets, on Social Networking Sites (SNS) like Twitter. This paper proposes a novel feature selection method ...
- research-articleJune 2023
Association between psychosocial well-being and problematic social media use among Finnish young adults: A cross-sectional study
Highlights- The frequency rate of problematic social media use (BSMAS; > 19 cut-off) in a sample of young adults in Finland was 9.8 %.
The aim of the study was to identify associations between problematic social media use (PSMU), type of internet activity, various background factors, psychosocial factors (mood, fear of missing out, need to belong, social relationships)...
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- research-articleApril 2023
High Risk, High Reward: Social Networking Online in Under-resourced Communities
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 278, Pages 1–12https://doi.org/10.1145/3544548.3581084Expanding one’s social network has been associated with greater access to resources and social support. However, little is known about how under-resourced populations decide to make new connections online and under what circumstances. We interviewed 36 ...
- research-articleMarch 2023
Fake news believability: The effects of political beliefs and espoused cultural values
Highlights- The role of individuals’ political and cultural beliefs on fake news believability.
Fake news has led to a polarized society as evidenced by diametrically opposed perceptions of and reactions to global events such as the Coronavirus Disease 2019 (COVID-19) pandemic and presidential campaigns. Popular press has linked ...
- research-articleJanuary 2023
Ranking of advertising goals on social network sites by Pythagorean fuzzy hierarchical decision making: Facebook
Engineering Applications of Artificial Intelligence (EAAI), Volume 117, Issue PAhttps://doi.org/10.1016/j.engappai.2022.105542AbstractThe rapid growth of social networking sites (SNSs), known as web-based services, has become a natural digital phenomenon, reinforcing e-commerce concepts such as business-to-consumer (B2C) and consumer-to-consumer (C2C), known as ...
Highlights- A decision model has been developed to choose the right ad target on Facebook.
- ...
- research-articleDecember 2022
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data
New Generation Computing (NEWG), Volume 40, Issue 4Pages 889–914https://doi.org/10.1007/s00354-022-00191-1AbstractSuicide deaths due to depression and mental stress are growing rapidly at an alarming rate. People freely express their feelings and emotions on social network sites while they feel hesitant to express such feelings during face-to-face ...
- research-articleNovember 2022
I feel you: Mixed-methods study of social support of loneliness on twitter
AbstractLoneliness is considered an epidemic in the United States due to its widespread and harmful effects to psychological and physiological well-being. Twitter provides the option of anonymity, a large audience and a space where feelings of ...
Highlights- We examine the responses to self-disclosures of loneliness on Twitter in 2019-2021.
- research-articleSeptember 2022
Let’s get personal: Which elements elicit perceived personalization in social media advertising?
Electronic Commerce Research and Applications (ECRA), Volume 55, Issue Chttps://doi.org/10.1016/j.elerap.2022.101183Highlights- To elicit perceived personalization it is best to use interests, location or age.
On social networking sites, consumers disclose information about themselves which advertisers use to personalize advertisements. The underlying assumption is that personalized advertisements are more persuasive. However, it is not ...
- research-articleAugust 2022
Facebook/Meta usage in higher education: A deep learning-based dual-stage SEM-ANN analysis
Education and Information Technologies (KLU-EAIT), Volume 27, Issue 7Pages 9821–9855https://doi.org/10.1007/s10639-022-11012-9AbstractThe paper’s main aim is to investigate and predict major factors in students’ behavioral intentions toward academic use of Facebook/Meta as a virtual classroom, taking into account its adoption level, purpose, and education usage. In contrast to ...
- research-articleNovember 2022
Political Participation through Social Networking Sites in China
ICEME '22: Proceedings of the 2022 13th International Conference on E-business, Management and EconomicsPages 600–605https://doi.org/10.1145/3556089.3556142The increase in internet use have turned the world into a global village. The advent and rise in utilization of social networking sites have revolutionized the everyday life and politics is no different. Social networking sites allow the public ...
- research-articleMay 2022
Corporate Users’ Attachment to Social Networking Sites: Examining the Role of Social Capital and Perceived Benefits
Information Systems Frontiers (KLU-ISFI), Volume 25, Issue 3Pages 1197–1217https://doi.org/10.1007/s10796-022-10289-yAbstractThe debate on the pros and cons of employee attachment to social networking sites (SNS) has led to social media policy paralysis in many organizations, and often a prohibition on employee use of SNS. This paper examines corporate users’ attachment ...
- research-articleMarch 2022
“Are we tweeting our real selves?” personality prediction of Indian Twitter users using deep learning ensemble model
AbstractSocial Networking Sites have significant potential to reveal valuable explicit as well as implicit statistics and patterns when deep learning is applied to their raw and unstructured data. Tweets posted by the users on their timeline ...
Highlights- Twitter data can provide predictive indicators of user behavior.
- We ...
- research-articleApril 2022
Fake News Detection via Biased User Profiles in Social Networking Sites
- Ryoya Furukawa,
- Daiki Ito,
- Yuta Takata,
- Hiroshi Kumagai,
- Masaki Kamizono,
- Yoshiaki Shiraishi,
- Masakatu Morii
WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent TechnologyPages 136–145https://doi.org/10.1145/3486622.3493939The spread of fake news on social networking sites has become a problem. Users who share fake news have strong human needs (such as the desire for approval, belonging, and self-expression) and are likely to have characteristic words in their self-...
- research-articleDecember 2021
Calculus interdependency, personality contingency, and causal asymmetry: Toward a configurational privacy calculus model of information disclosure
Highlights- This paper investigates privacy calculus from a configurational perspective.
- ...
This study proposes a configurational privacy calculus model (CPCM) to understand calculus interdependency, personality contingency, and causal asymmetry in the information disclosure behavior in social networking sites (SNS). The ...
- research-articleDecember 2021
How strong is the association between social media use and false consensus?
AbstractIn series of studies, we sought to assess the extent to which social media use was related to the false consensus effect. Study 1 (N = 493) and Study 2 (N = 364, preregistered) assessed the relationship between social media use and the ...
Highlights- Heavier social media users showed higher rates of false consensus effects across a range of psychological characteristics.
- research-articleDecember 2021
Ranking objectives of advertisements on Facebook by a fuzzy TOPSIS method
Electronic Commerce Research (KLU-ELEC), Volume 21, Issue 4Pages 881–916https://doi.org/10.1007/s10660-019-09394-zAbstractSocial networking sites (SNSs) have become a vital medium for companies to place advertisements and setting an objective of advertisements on SNSs is an important issue of planning a business’s market strategy. The purpose of this work is to ...
- research-articleOctober 2021
Supportive communication on social networking sites: The impact of post valence and relational closeness on support provision
Highlights- This project adopted a mixed-method approach to examine supportive exchange on SNSs.
This project adopted a mixed-method approach to examine relational and contextual factors that influence people’s intention to provide support on SNSs. A pilot survey examined people’s use of SNSs for supportive exchange. Facebook was ...