The Hidden Truths of Self-Presentation, Self-Disclosure, and Deception on Online Dating Profiles: A Call for Change

The way in which individuals seek romantic partners has changed considerably in the past decades, most notably through online dating sites (ODSs). Despite the possibility of misrepresentation amongst client users, such sites continue to grow in popularity because ODSs provide a large pool from which individuals can select and attract potential partners. While much research has been undertaken on ODSs, little empirical research has examined postsecondary students’ use of ODSs. Therefore, this study sought to investigate why postsecondary students have become involved with and how they present themselves on ODSs. The researcher surveyed 20 postsecondary students and conducted in-depth interviews with 2 participants who use ODSs. Although the limited sample prevented results from being generalized, quantitative and qualitative analyses suggest that participants became involved with ODSs for various purposes, such as seeking long-term relationships and/or marriage partners, or simply exploring or visiting ODSs out of curiosity. Findings indicate that ODS users’ physical appearance and/or “attractiveness” is considered the strongest predictor of relationship success. The study discusses how participants’ self-presentation affects outcomes of ODS usage, particularly when negative self-identification and presentation corresponding to factors such as individuals’ weight and age are taken into account.

Why participate in an online social network: an empirical analysis

Despite their enormous success the motivation behind user participation in Online Social Networks is still little understood. This study explores a variety of possible incentives and provides an empirical evaluation of their subjective relevance. The analysis is based on survey data from 129 test subjects. Using Structural Equation Modeling, we identified that the satisfaction of the needs for belongingness and the esteem needs through self-presentation together with peer pressure are the main drivers of participation. The analysis of a sub-sample of active users pointed out the satisfaction of the cognitive needs as an additional participation determinant. Based on these findings, recommendations for online social network providers are made.

Gender Differences in Online Dating: What Do We Know So Far? A Systematic Literature Review

With millions of users worldwide, online dating platforms strive to assert themselves as powerful tools to find dates and form romantic relationships. However, significant differences exist in male and female use of this mate-matching technology with respect to motivation, preferences, self-presentation, interaction and outcomes. While existing research has routinely reported on gender differences in online dating, these insights remain scattered across multiple studies. To gain a systematic insight into existing findings, in this study we conduct a meta-review of existing research. We find that evolutionary theory generally holds true in online dating: Users still follow natural stereotypes when it comes to choosing a mate online. Physical attractiveness is the key criteria for men; while women, being much more demanding, prioritize socio-economic attributes when choosing a male partner. Together, our structured findings offer a deeper insight into the underlying dynamics of gender differences in online dating.

Word of mouth communication within online communities:conceptualizing the online social network

Word of mouth (WOM) communication is a major part of online consumer interactions, particularly within the environment of online communities. Nevertheless, existing (offline) theory may be inappropriate to describe online WOM and its influence on evaluation and purchase.The authors report the results of a two-stage study aimed at investigating online WOM: a set of in-depth qualitative interviews followed by a social network analysis of a single online community. Combined, the results provide strong evidence that individuals behave as if Web sites themselves are primary "actors" in online social networks and that online communities can act as a social proxy for individual identification. The authors offer a conceptualization of online social networks which takes the Web site into account as an actor, an initial exploration of the concept of a consumer-Web site relationship, and a conceptual model of the online interaction and information evaluation process. © 2007 Wiley Periodicals, Inc. and Direct Marketing Educational Foundation, Inc.

Mining the online social network data: Influence, summarization, and organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.

Mining the Online Social Network Data: Influence, Summarization, and Organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.

Semantic social network analysis

Mestrado em Engenharia Informática

Determinantes emocionais do compartilhamento entre consumidores online

O objetivo desta tese é contribuir com a análise das emoções, a partir dos papéis da valência e da excitação emocional, como influenciadoras do compartilhamento de informação entre consumidores online. Pessoas compartilham onversando ou utilizando ferramentas de compartilhamento de conteúdo na internet, como as redes sociais virtuais. O compartilhamento de conteúdo na internet leva a uma maior difusão, fazendo com que eles se viralizem, ou seja, sejam retransmitidos diversas vezes, atingindo diferentes públicos (HO; DEMPSEY, 2010). Ainda há dúvidas na literatura sobre as causas desta viralização, e o quanto as emoções influenciam o processo, articularmente se as pessoas tendem a compartilhar mais o que lhes é positivo, o que lhes causa mais excitação (BERGER; MILKMAN, 2012) ou se há um perfil específico de consumidor que se engaja mais nessas ações, como os chamados advogados de marca, e como tal perfil se comporta. Para investigar isso, foram conduzidos quatro experimentos: o primeiro comparou a propensão a compartilhar notícias de valências emocionais e excitações diferentes, o segundo relacionou a propensão a compartilhar propagandas e notícias com valências diferentes, o terceiro analisou como advogados de marca declarados agem com relação a conteúdo de diferentes valências e o quarto comparou a propensão a compartilhar de propagandas com diferentes valências e estímulos ao compartilhamento (nenhum, dica de um amigo ou participação em um sorteio). Os conteúdos de valência positiva que geraram maior excitação ou tidos como mais úteis seriam mais compartilhados, enquanto advogados de marca deram ênfase em suas respostas ao conteúdo negativo, negando-o, justificando-o ou se abstendo, e foram mais intensos ao reclamar de problemas que eles próprios sofreram. Os principais achados desta tese são que a) conteúdo online de valência positiva e de alta excitação tem maior probabilidade de ser compartilhado, porém b) conteúdo online de valência negativa é tido como mais útil e gera maior excitação. Além disso, c) se o conteúdo for referente a uma marca com que o consumidor é engajado, ele reagirá com respostas mais circunstanciadas e d) se o conteúdo lhe for indicado por um amigo, ele tem maior chance de compartilhar. A principal contribuição desta tese é auxiliar na compreensão, teórica e gerencial, do compartilhamento entre usuários, avaliando o 9 impacto de conteúdo excitante ou útil, seja de valência positiva ou negativa, permitindo às organizações dimensionar seus esforços de comunicação e de relacionamento com clientes, com vistas a selecionar as abordagens mais adequadas às mensagens

The Online Romance Scam: A Serious Cybercrime

The Online Romance Scam is a relatively new form of fraud that became apparent in about 2008. In this crime, criminals pretend to initiate a relationship through online dating sites then defraud their victims of large sums of money. This paper presents some descriptive statistics about knowledge and victimization of the online dating romance scam in Great Britain. Our study found that despite its newness, an estimated 230,000 British citizens may have fallen victim to this crime. We conclude that there needs to be some rethinking about providing avenues for victims to report the crime or at least making them more comfortable when doing so.

Longitudinal Incidence Study of Clinically-Relevant HPV and Vaccine-Type HPV in Young Online Female Daters

Thesis (Master's)--University of Washington, 2016-08

LSTA Five Year Plan, 1998-2002, 2002

The LSTA goals for Iowa, FY98-FY02, are as follows: 1. Provide all Iowans with expanded access to information and materials through the State of Iowa Libraries Online (SILO) network. 2. Improve library service to Iowans through knowledgeable, well-trained staff and wellinformed public library trustees and library users. 3. Meet Iowans’ increasing demands for information and library services by identifying and encouraging resource sharing and partnerships. 4. Provide state level leadership and services to accomplish the LSTA Five-Year Plan. The primary objectives of this evaluation are to provide: $ An assessment of the overall impact of Iowa’s LSTA funding and success in achieving the goals identified in the state’s five-year plan. $ An in-depth analysis of two specific goals from the plan: providing Iowans with expanded access to information and materials through the State of Iowa Libraries Online (SILO) network; and improving library service to Iowans through knowledgeable, well-trained staff and well-informed public library trustees and library users. LSTA built on accomplishments made possible with the federal HEA II-B grant awarded to the State Library in 1995. This grant led the way in bringing technology to Iowa libraries by creating an electronic library network for resource sharing. SILO (State of Iowa Libraries Online) became fully functional in 1997. The State Library continued funding SILO with LSTA money when the grant ended. This funding supports the SILO infrastructure, providing equitable access to information through cutting edge technology to Iowans in both small and large, rural and urban, communities. Access to electronic material and information has encouraged public libraries to increase the number of computers and public access to the Internet. LSTA funding was used to increase training opportunities for library staff and trustees. Many programs, such as librarian certification, were strengthened by an increase in continuing education opportunities.

LSTA Five Year Plan, 1998-2002, 2002

The LSTA goals for Iowa, FY98-FY02, are as follows: 1. Provide all Iowans with expanded access to information and materials through the State of Iowa Libraries Online (SILO) network. 2. Improve library service to Iowans through knowledgeable, well-trained staff and wellinformed public library trustees and library users. 3. Meet Iowans’ increasing demands for information and library services by identifying and encouraging resource sharing and partnerships. 4. Provide state level leadership and services to accomplish the LSTA Five-Year Plan. The primary objectives of this evaluation are to provide: $ An assessment of the overall impact of Iowa’s LSTA funding and success in achieving the goals identified in the state’s five-year plan. $ An in-depth analysis of two specific goals from the plan: providing Iowans with expanded access to information and materials through the State of Iowa Libraries Online (SILO) network; and improving library service to Iowans through knowledgeable, well-trained staff and well-informed public library trustees and library users. LSTA built on accomplishments made possible with the federal HEA II-B grant awarded to the State Library in 1995. This grant led the way in bringing technology to Iowa libraries by creating an electronic library network for resource sharing. SILO (State of Iowa Libraries Online) became fully functional in 1997. The State Library continued funding SILO with LSTA money when the grant ended. This funding supports the SILO infrastructure, providing equitable access to information through cutting edge technology to Iowans in both small and large, rural and urban, communities. Access to electronic material and information has encouraged public libraries to increase the number of computers and public access to the Internet. LSTA funding was used to increase training opportunities for library staff and trustees. Many programs, such as librarian certification, were strengthened by an increase in continuing education opportunities.

LSTA Five Year Plan Evaluation, 1998-2002, 2002

The LSTA goals for Iowa, FY98-FY02, are as follows: 1. Provide all Iowans with expanded access to information and materials through the State of Iowa Libraries Online (SILO) network. 2. Improve library service to Iowans through knowledgeable, well-trained staff and wellinformed public library trustees and library users. 3. Meet Iowans’ increasing demands for information and library services by identifying and encouraging resource sharing and partnerships. 4. Provide state level leadership and services to accomplish the LSTA Five-Year Plan. The primary objectives of this evaluation are to provide: $ An assessment of the overall impact of Iowa’s LSTA funding and success in achieving the goals identified in the state’s five-year plan. $ An in-depth analysis of two specific goals from the plan: providing Iowans with expanded access to information and materials through the State of Iowa Libraries Online (SILO) network; and improving library service to Iowans through knowledgeable, well-trained staff and well-informed public library trustees and library users. LSTA built on accomplishments made possible with the federal HEA II-B grant awarded to the State Library in 1995. This grant led the way in bringing technology to Iowa libraries by creating an electronic library network for resource sharing. SILO (State of Iowa Libraries Online) became fully functional in 1997. The State Library continued funding SILO with LSTA money when the grant ended. This funding supports the SILO infrastructure, providing equitable access to information through cutting edge technology to Iowans in both small and large, rural and urban, communities. Access to electronic material and information has encouraged public libraries to increase the number of computers and public access to the Internet. LSTA funding was used to increase training opportunities for library staff and trustees. Many programs, such as librarian certification, were strengthened by an increase in continuing education opportunities.