ONLINE DATING APPLICATIONS and the USES and GRATIFICATIONS THEORY Lindsey T
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It's a Match (?): Tinder Usage and Attitudes Toward
Communication Research Reports ISSN: 0882-4096 (Print) 1746-4099 (Online) Journal homepage: https://www.tandfonline.com/loi/rcrr20 It’s a match (?): Tinder usage and attitudes toward interracial dating Giulia Ranzini & Judith E. Rosenbaum To cite this article: Giulia Ranzini & Judith E. Rosenbaum (2020): It’s a match (?): Tinder usage and attitudes toward interracial dating, Communication Research Reports, DOI: 10.1080/08824096.2020.1748001 To link to this article: https://doi.org/10.1080/08824096.2020.1748001 © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC. Published online: 26 Apr 2020. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=rcrr20 COMMUNICATION RESEARCH REPORTS https://doi.org/10.1080/08824096.2020.1748001 It’s a match (?): Tinder usage and attitudes toward interracial dating Giulia Ranzini and Judith E. Rosenbaum ABSTRACT KEYWORDS The increased popularity of dating apps such as Tinder Online dating; race; self- coupled with the rise in interracial marriages form the founda- presentation; dating apps tion of this study which explores the role played by visual and cultural cues in people’s dating decisions. Using a within-group 2*3 experimental design (N = 331) among a convenience sam- ple of adults in the Netherlands, this study provides insight into how the ethnicity associated with profile pictures and names impact the evaluation of a potential date on Tinder. Overall, respondents ranked Caucasian-looking Tinder users as more attractive and more likely to be their date of choice. -
Use of Social Networks for Academic Purposes: a Case Study
This is a postprint (final draft post-refereeing) of an article accepted for publication in The Electronic Library 31 (6), 781-791, 2013 Use of social networks for academic purposes: a case study Gemma Nández Biblioteca, Universitat Pompeu Fabra, Barcelona (Spain) [email protected] Ángel Borrego Facultat de Biblioteconomia i Documentació, Universitat de Barcelona (Spain) [email protected] Introduction Access to scientific information has progressed enormously both qualitatively and quantitatively during the last two decades due to the improvement in discovering tools — alert services, databases, metasearch engines, online catalogues, publisher platforms, and so on — together with the increase in the amount of electronic information available to end users. Extensive research has tracked how electronic publishing is influencing the information- seeking and reading behaviour of scholars. Tenopir et al. (2009) showed that scholars’ use of electronic information has increased substantially over time as academic libraries transit from print to electronic collections. The adoption of electronic information in academic settings has been extremely successful. Despite minor disciplinary differences — more related to the amount of electronic information available in each field than to substantial differences in scholars’ inclination towards the use electronic resources — electronic databases and journals have been rapidly adopted by scholars. Recent research in the United Kingdom (Nicholas et al., 2010) shows that academic journals are central to all academic fields and that the electronic form is the prime means of access. Similarly, in the United States, Niu et al. (2010) report the predominance of the use of electronic methods for searching and accessing scholarly content. Among the most recent developments in the creation and communication of information in electronic format are the social media, a term that refers to a set of web technologies that allow the creation and exchange of user-generated content. -
Why Do Academics Use Academic Social Networking Sites?
International Review of Research in Open and Distributed Learning Volume 18, Number 1 February – 2017 Why Do Academics Use Academic Social Networking Sites? Hagit Meishar-Tal1 and Efrat Pieterse2 1Holon institute of Technology (HIT), 2Western Galilee College Abstract Academic social-networking sites (ASNS) such as Academia.edu and ResearchGate are becoming very popular among academics. These sites allow uploading academic articles, abstracts, and links to published articles; track demand for published articles, and engage in professional interaction. This study investigates the nature of the use and the perceived utility of the sites for academics. The study employs the Uses and Gratifications theory to analyze the use of ASNS. A questionnaire was sent to all faculty members at three academic institutions. The findings indicate that researchers use ASNS mainly for consumption of information, slightly less for sharing of information, and very scantily for interaction with others. As for the gratifications that motivate users to visit ASNS, four main ones were found: self-promotion and ego-bolstering, acquisition of professional knowledge, belonging to a peer community, and interaction with peers. Keywords: academic social-networking sites, users' motivation, Academia.edu, ResearchGate, uses and gratifications Introduction In the past few years, the Internet has seen the advent of academic social-networking sites (ASNS) such as Academia.edu and ResearchGate. These sites allow users to upload academic articles, abstracts, and links to published articles; track demand for their published articles; and engage in professional interaction, discussions, and exchanges of questions and answers with other users. The sites, used by millions (Van Noorden, 2014), constitute a major addition to scientific media. -
Social Media Report By
Social GWI’s flagship report on the latest trends in social media 04 Discover our data Methodology 06 Key insights & definitions 08 The psychology of social media All figures in this report are drawn from GWI’s May-November 2020, which are carried out in – how has the pandemic enhanced or online research among internet users aged the U.S. and UK only. Our September Zeitgeist altered key attitudes toward social media? 16-64. We only interview respondents aged study is the only exception, as it covers the 16-64 and our figures are representative of the following 7 countries: Brazil, China, France, 14 Tracking time spent online populations of each market, not its total Germany, India, UK, and the U.S. – are we spending as long on social population. Note that in many markets in Latin sites as we did during lockdowns? America, the Middle-East and Africa, and the Throughout this report we refer to indexes. Asia-Pacific region, low internet penetration Indexes are used to compare any given group 22 Lining up the leading platforms rates can mean online populations are more against the average (1.00), which unless oth- In this – which platforms have seen recent young, urban, affluent and educated than the erwise stated refers to the global average. For increases or drops in popularity? total population. example, an index of “1.20” means that a given group is 20% above the global average, and an report 30 Keeping tabs on behavioral trends Each year, GWI interviews over 688,000 internet index of “0.80” means that an audience is 20% – how have online social behaviors fluctuated users aged 16-64 via an online questionnaire for below the global average. -
Naval Reserve Command
NAVAL RESERVE OFFICER TRAINING CORPS Military Science –1 (MS-1) COURSE ORIENTATION Training Regulation A. Introduction: The conduct of this training program is embodied under the provisions of RA 9163 and RA 7077 and the following regulations shall be implemented to all students enrolled in the Military Science Training to produce quality enlisted and officer reservists for the AFP Reserve Force. B. Attendance: 1. A minimum attendance of nine (9) training days or eighty percent (80%) of the total number of ROTC training days per semester shall be required to pass the course. 2. Absence from instructions maybe excuse for sickness, injury or other exceptional circumstances. 3. A cadet/ cadette (basic/advance) who incurs an unexcused absence of more than three (3) training days or twenty percent (20%) of the total number of training during the semester shall no longer be made to continue the course during the school year. 4. Three (3) consecutive absences will automatically drop the student from the course. C. Grading: 1. The school year which is divided into two (2) semesters must conform to the school calendar as practicable. 2. Cadets/ cadettes shall be given a final grade for every semester, such grade to be computed based on the following weights: a. Attendance - - - - - - - - - - 30 points b. Military Aptitude - - - - - 30 points c. Subject Proficiency - - - - 40 points 3. Subject proficiency is forty percent (40%) apportioned to the different subjects of a course depending on the relative importance of the subject and the number of hours devoted to it. It is the sum of the weighted grades of all subjects. -
A Close Look at Tinder Bots
A Close Look at Tinder Bots Tahora H. Nazer∗ Fred Morstatter∗ Gareth Tysony Huan Liu∗ Abstract Tinder is a popular dating app that allows users to discover potential dating partners with close geographical proximity. Tinder is the first dating app in several countries and has more than 50 million users. However, many of these users are bots with malicious intent. The first step in dealing with this issue is understanding the characteristics of Tinder bots. Toward this aim, we have proposed a ground truth collection method to acquire bots to study. Our method combines honeypot methods and manual annotation. We find that probing messages is a reliable method to distinguish bots from humans as bots promote malicious URLs and direct users to phishing sites. Our observations on the collected bots show that they are more complex than bots that are studied in other social media sites. Tinder bots have profiles that are very hard to differentiate from normal users. We explore activity and profiles of these bots and report the characteristics that can be used in building a supervised learning approach for bot detection. 1 Introduction Tinder1 is one of the most popular dating applications for Android and iOS mobile phones. Tinder is recognized as the most downloaded app in 18 countries with the biggest app Figure 1: User life-cycle on Tinder. After a user joins Tinder, markets. In several countries including USA, UK, Canada, majority of the time is spent for matching and messaging. and Australia, Tinder is the most popular dating app2. Tinder has more than 50 million users [1] and they spend around 77 is no way to access user profiles unless they are shown by an minutes on it [5] every day. -
Dating App 20140708.Key
From ‘Like’ to Love: How Brands Can Woo Users on Messaging and Dating Apps 7/10/14 Dating goes digital The generation accustomed to communicating at all times is coming of age and bringing the same attitude to their romantic lives. ! “ I think in the time I was in a relationship, all dating communication went exclusively to text. You can’t call anybody anymore. If you call someone, they’re like ‘What? Are you on fire? Then quit wasting my time. Text me that [stuff].’” – Aziz Ansari, Comedian Credit: Comedy Central © 2013 IPG Media Lab. Proprietary & Confidential 2 We heart mobile dating apps Online dating services and apps are an increasingly common way to meet potential mates: • 1 in 3 single Americans have used an online dating service • 1 in 6 couples married in the last three years met online ! Graph Sources: marketingland.com/founders-whisper-tinder-75424; www.internetlivestats.com ! ! Sources: www.pewinternet.org/2013/10/21/online-dating-relationships/ cp.match.com/cppp/media/CMB_Study.pdf © 2013 IPG Media Lab. Proprietary & Confidential 3 Dating apps moved to mobile as messaging apps began to proliferate © 2013 IPG Media Lab. Proprietary & Confidential 4 But it’s not just dating apps Dating apps, social networks, and messaging apps are blurring as people seek, create, and document new relationships: • Glimpse connects people based on their Instagram photos • LinkedUp turns the professional site into a dating platform • Kik users share usernames instead of digits on multiple platforms © 2013 IPG Media Lab. Proprietary & Confidential 5 What’s going on here? As we noted in our white paper on Messaging Apps , messaging platforms are fighting for consumers and introducing new features to increase audience engagement. -
Suspect Social Web Sites Tinder – a Photo/ Messaging Dating App For
May 12, 2017 PO Box 190242 ● Boise ID 83719 Suspect Social Web Sites Tinder – A Photo/ Messaging dating app for browsing pictures within a certain-mile radius of user’s location. It can be dangerous for teens to meet up with strangers within their geographic location. Instagram – Lets users snap, edit and share photos as well as 15 second videos publicly or with network of followers. Public Photos is the default setting unless privacy settings are used. Private messaging is also an option through Instagram Direct. Teens can be on lookout for “Likes” or “Comments” as a measure of “success”, self-worth and popularity. Snapchat – Lets users put time limit on photos/ videos sent before disappearing. Teens use to send embarrassing images believing they won’t go public. Persons receiving can take screen shot before image disappears and has also been hacked for recovery purposes. Makes “sexting” seem safe encouraging users to send sexual images; some of which have been used for extortion of sender commonly known as “Sextortion”. Tumblr – Streaming scrapbook of texts, photos, and/or video/audio clip postings. Porn easy to find via raunchy, pornographic images & videos which often also depict violence, self-harm, drug use and offensive language. First profiles are public and viewable by any internet user with subsequent privacy settings only available via awkward workarounds. Posts are often copied and shared. Kik-Messenger – A texting app that allows communication with strangers using their Kikusernames to find people to chat with. Also has a Kikcommunity blog where users can submit photos of themselves and screenshot messages; sometimes displaying user’s full name. -
Introduction to Online Dating
INTRODUCTION TO ONLINE DATING Whatever you’re looking for…it’s out there What is Online Dating Searching for a romantic partner on the Internet via a dedicated website usually with the goal of creating a real-world relationship Other People via their Online Profile You Your Online Profile What is Online Dating 35, doctor, likes outdoors 42, accountant, divorced, plays in a band You 37, fireman, loves to cook Some Numbers Online Dating is a good place to meet people* 2005: 44% 2015: 59% Online dating is the 2nd most common way to meet people** 66% of online dating users have gone on a date with someone they met online* 50% of couples expected to meet online by 2031** *PEW Research **eHarmony Study Pros & Cons Low pressure, not Behind a screen face to face at start May cost money, Time and cost-effective does take time Big pool of users Big pool of users Customize to your taste 3 Types of Dating Sites All-Purpose Phone App (Swipers) Niche Age Match Tinder Race OKCupid Bumble Religion eHarmony Interests Choosing Your Site(s) Cost Depth of profiles User Base Reputation Match.com Well-known, respectable. Largest paid user base in the U.S. In-depth questionnaire takes about 30 minutes to complete Free to join (email) and browse – must subscribe to communicate Match.Com Match.Com Sends you daily “matches” based on profiles Reverse Matching: Search profiles of people who say they are looking for the things in your profile Date Spark: Propose a date idea and see who responds or respond to a proposed idea OKCupid Well-known, large user base Profile is quick to set-up, with additional questions to answer as you see fit. -
Research Paper
Research Facebook Use Among Agricultural Doctoral Students to Promote Agriculture & Research Introduction/Need for Research It is important for doctoral students and future scientists to have a “passion and talent for communication and outreach” instilled in them before graduating (Smith, 2016, p. 185). According to Graybill (2010), it would be in the best interest of agriculturalists to use Facebook when communicating agricultural/scientific information to the public. Social media has now become a first choice for many agricultural producers, crop consultants, and retailers to interact with the public (Campbell, 2017). Beyond those working in agriculture, 86% of 18- 29-year-olds and 80% of 30- to 49-year-olds use social media (Pew Research Center, 2017). People in this age group depend on Facebook for information much more so than television, radio, and newspapers (Shearer & Gottfried, 2017). Additionally, millennials are influenced by information posted from their peers to Facebook (Shearer & Gottfried, 2017). With Facebook having so much influence, it seems fitting that future agricultural scientists and leaders would also use it, and other social media, to interact with the public and promote their research and agriculture. The purpose of this study was to determine how often future agricultural scientists enrolled in [University’s] plant and soil sciences doctoral program use social media to promote information about agriculture and/or science. Conceptual Framework The conceptual framework for this research is based on the Media Dependency Theory. This theory states that the greater the need/dependency on media, “the greater the likelihood that the information supplied will alter various forms of audience cognitions, feelings, and behavior” (Ball-Rokeach & DeFleur, 1976, p. -
Facebook Dating Application
Facebook Dating Application A Business Plan by Koen Heine, Alex Paninder & Fai Nopsuwanwong Idea: A Facebook dating application that will revolutionize the way people meet and date on the Internet. By choosing a superior business model, our company will outperform our competitors and change the faith of single people forever. This business plan is confidential. Business idea in itself or information from this description may not be used, reproduced or made available to third parties without the prior written permission of Koen Heine. 5/4/2011 Final Hand in –Entrepreneurship Program Facebook Dating Application Executive Summary The Internet is becoming an increasingly big part of our lives. We read the news, discover new music, watch video clips and communicate with social contacts. Meeting a romantic partner is a logical extension of the technology. This is where dating websites come in. However, research has shown that while people spend a lot of time on these websites, they are dissatisfied with the payoff. Despite the problems with current online dating solutions, the industry is estimated to be worth about $3-4 billion a year. The business model of choice for existing websites can be separated in monthly subscriptions and free dating sites that make money through advertising. According to competitive research by OkCupid, men are usually the contact initiator. On the paid dating website eHarmony, a man can expect a reply only 30% of the time, mainly because the receiving woman is not a paying member and is unable to reply. Scholarly research on a major American dating websites finds that women reply only 15.9% of the time. -
An Empirical Analysis of Online Dating∗
What Makes You Click: An Empirical Analysis of Online Dating¤ GÄunter J. Hitsch Ali Horta»csu Dan Ariely University of Chicago University of Chicago MIT Graduate School of Business Department of Economics Sloan School of Management January 2005 Abstract This paper uses a novel data set obtained from a major online dating service to draw inferences on mate preferences and the match outcomes of the site users. The data set contains detailed information on user attributes such as income, education, physique, and attractiveness, as well as information on the users' religion, political inclination, etc. The data set also contains a detailed record of all online activities of the users. In particular, we know whether a site member approaches a potential mate and receives a reply, and we have some limited information on the content of the exchanged e-mails. A drawback of the data set is that we do not observe any \o²ine" activities. We ¯rst compare the reported demographic characteristics of the site users to the characteristics of the population-at-large. We then discuss the conditions under which the user's observed behavior reveals their mate preferences. We estimate these preferences and relate them to own and partner attributes. Finally, we predict the equilibrium structure of matches based on the preference estimates and a simple matching protocol, and compare the resulting sorting along attributes such as income and education to observed online matches and actual marriages in the U.S. ¤We thank Babur De los Santos, Chris Olivola, and Tim Miller for their excellent research assistance. Seminar participants at the Choice Symposium in Estes Park, Northwestern University, the 2004 QME Conference, the University of Chicago, and the Stanford GSB provided valuable comments.